Journal articles on the topic 'YouTube commenters'
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Thelwall, Mike, and Amalia Mas-Bleda. "YouTube science channel video presenters and comments: female friendly or vestiges of sexism?" Aslib Journal of Information Management 70, no. 1 (January 15, 2018): 28–46. http://dx.doi.org/10.1108/ajim-09-2017-0204.
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Purpose The purpose of this paper is to analyse popular YouTube science video channels for evidence of attractiveness to a female audience. Design/methodology/approach The influence of presenter gender and commenter sentiment towards males and females is investigated for 50 YouTube science channels with a combined view-count approaching ten billion. This is cross-referenced with commenter gender as a proxy for audience gender. Findings The ratio of male to female commenters varies between 1 and 39 to 1, but the low proportions of females seem to be due to the topic or presentation style rather than the gender of the presenter or the attitudes of the commenters. Although male commenters were more hostile to other males than to females, a few posted inappropriate sexual references that may alienate females. Research limitations/implications Comments reflect a tiny and biased sample of YouTube science channel viewers and so their analysis provides weak evidence. Practical implications Sexist behaviour in YouTube commenting needs to be combatted but the data suggest that gender balance in online science presenters should not be the primary concern of channel owners. Originality/value This is the largest scale analysis of gender in YouTube science communication.
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Perrino, Sabina. "Recontextualizing racialized stories on YouTube." Storytelling in the Digital Age 27, no. 2 (October 6, 2017): 261–85. http://dx.doi.org/10.1075/ni.27.2.04per.
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Abstract When stories (re)appear in YouTube videos, they are recontextualized not only by their titling and editing, but especially by chains of online comments. This article explores how a Northern Italian politician’s racialized story, which was first recontextualized by a TV news reporter on a YouTube video, is further recontextualized for different ends by commenters on that video. I show how these commenters negotiate and reframe the racial aspects of digital discourse and its sociocultural meanings through their various responses and across different temporal and spatial scales. By applying linguistic anthropological and sociolinguistic theories and narrative analytical tools to digital storytelling, this study emphasizes how racialized language is neither stable nor unidirectional, but is rather constantly negotiated discursively among various groups of virtual audience members. Besides investigating the pragmatics of narrative interaction in the digital realm, this article speaks to methodological challenges that surround the study of online storytelling.
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Bodrunova, Svetlana S., and Ivan S. Blekanov. "A Self-Critical Public: Cumulation of Opinion on Belarusian Oppositional YouTube before the 2020 Protests." Social Media + Society 7, no. 4 (October 2021): 205630512110634. http://dx.doi.org/10.1177/20563051211063464.
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YouTube-based discussions are a growing area of academic attention. However, we still lack knowledge on whether YouTube provides for forming critical publics in countries with no established democratic tradition. To address this question, we study commenting to Belarusian oppositional YouTube blogs in advance of the major wave of Belarusian post-election protests of 2020. Based on the crawled data of the whole year of 2018 for six Belarusian political videoblogs, we define the structure of the commenters’ community, detect the core commenters, and assess their discourse for aggression, orientation of dialogue, direction of criticism, and antagonism/agonism. We show that, on Belarusian YouTube, the commenters represented a genuine adversarial self-critical public with cumulative patterns of solidarity formation and find markers of readiness for the protest spillover.
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Thelwall, Mike. "Can museums find male or female audiences online with YouTube?" Aslib Journal of Information Management 70, no. 5 (September 17, 2018): 481–97. http://dx.doi.org/10.1108/ajim-06-2018-0146.
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Purpose The purpose of this paper is to investigates if and why audience gender ratios vary between museum YouTube channels, including for museums of the same type. Design/methodology/approach Gender ratios were examined for public comments on YouTube videos from 50 popular museums in English-speaking nations. Terms that were more frequently used by males or females in comments were also examined for gender differences. Findings The ratio of female to male YouTube commenters varies almost a hundredfold between museums. Some of the difference could be explained by gendered interests in museum themes (e.g. military, art) but others were due to the topics chosen for online content and could address a gender minority audience. Practical implications Museums can attract new audiences online with YouTube videos that target outside their expected demographics. Originality/value This is the first analysis of YouTube audience gender for museums.
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Koven, Michèle, and Isabelle Simões Marques. "Performing and evaluating (non)modernities of Portuguese migrant figures on YouTube: The case of Antonio de Carglouch." Language in Society 44, no. 2 (April 2015): 213–42. http://dx.doi.org/10.1017/s0047404515000056.
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AbstractWe analyze how France-based YouTube comedic performers Ro et Cut enact the stylized figure of a Portuguese migrant in France, Antonio, in their most popular video,Carglouch. We then examine how commenters respond to the enactment. Specifically, we apply Irvine and Gal's notion of semiotic differentiation to study how participants use language to construct and apply polycentric notions of modernity/nonmodernity. This allows us to analyze how YouTube performers and commenters produce their own and Antonio's relative (non)modernity, as they orient to different versions of a modern/nonmodern axis of differentiation, situated in multiple ‘centers’: France, Portugal, or Europe. That is, participants either interpret Antonio as a nonmodern immigrant in France, a nonmodern emigrant from Portugal, or an international representative of Portugal, spreading nonmodern images of Portugal abroad. We then consider how participants bring these differently centered images of the nonmodern Other into dialogue with each Other, with different outcomes for variously positioned participants. (Migration, heteroglossia, YouTube, transnationalism, Luso-descendants, (non)modernity, France, Portugal)*
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Tovares, Alla V. "Negotiating “thick” identities through “light” practices: YouTube metalinguistic comments about language in Ukraine." Multilingua 38, no. 4 (July 26, 2019): 459–84. http://dx.doi.org/10.1515/multi-2018-0038.
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Abstract This article investigates YouTube metalinguistic comments about language varieties in Ukraine as a “light” practice to demonstrate how knowledge and identities are negotiated online against the backdrop of larger sociopolitical discourses that circulate in and about Ukraine. This work adds to our understanding of online, or “light”, identity construction by suggesting that taking up epistemic stances and overtly asserting epistemic statuses are often a part of such identity work. Furthermore, deliberate linguistic choices not only serve to index identities but also create (dis)affiliations and thus can be deployed as a means of inclusion or exclusion from a particular online group, often shifting between (and integrating) local and global themes and audiences. The analysis shows how by drawing on repetition, deixis, pronouns, and lexical choices, YouTube commenters police, reify, and contest the extant language practices and underlying ideologies and in so doing create a foundation for grassroots ideological and political mobilization.
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Raby, Rebecca, and Mary-Beth Raddon. "Is She a Pawn, Prodigy or Person with a Message? Public Responses to a Child’s Political Speech." Canadian Journal of Sociology 40, no. 2 (April 27, 2015): 163–88. http://dx.doi.org/10.29173/cjs21758.
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The 2012 appearance on YouTube of a speech about banking reform prompted mainstream news coverage and hundreds of online comments, dwelling less on the content of the speech than on the speaker, Victoria Grant, a twelve year-old girl. A qualitative content analysis of over 600 comments revealed disagreement about children’s capacities as participants in political and economic discussions. Commenters’ mixed beliefs were linked to dominant, frequently contradictory, discourses of childhood. Victoria Grant was positioned as embedded in educational processes, as competent but often exceptional, as incompetent, and as innocent and therefore vulnerable. These conflicting yet emotionally charged narratives of childhood illustrate the concept’s rhetorical elasticity and flexibility. Despite advances in the cause of children’s social participation in recent years, most of these adult-centered narratives undermine the idea of children as legitimate contributors to economic analysis and political debate.
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Teng, Shasha, Kok Wei Khong, Saeed Pahlevan Sharif, and Amr Ahmed. "YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis." JMIR Public Health and Surveillance 6, no. 4 (October 1, 2020): e19618. http://dx.doi.org/10.2196/19618.
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Background Poor nutrition and food selection lead to health issues such as obesity, cardiovascular disease, diabetes, and cancer. This study of YouTube comments aims to uncover patterns of food choices and the factors driving them, in addition to exploring the sentiments of healthy eating in networked communities. Objective The objectives of the study are to explore the determinants, motives, and barriers to healthy eating behaviors in online communities and provide insight into YouTube video commenters’ perceptions and sentiments of healthy eating through text mining techniques. Methods This paper applied text mining techniques to identify and categorize meaningful healthy eating determinants. These determinants were then incorporated into hypothetically defined constructs that reflect their thematic and sentimental nature in order to test our proposed model using a variance-based structural equation modeling procedure. Results With a dataset of 4654 comments extracted from YouTube videos in the context of Malaysia, we apply a text mining method to analyze the perceptions and behavior of healthy eating. There were 10 clusters identified with regard to food ingredients, food price, food choice, food portion, well-being, cooking, and culture in the concept of healthy eating. The structural equation modeling results show that clusters are positively associated with healthy eating with all P values less than .001, indicating a statistical significance of the study results. People hold complex and multifaceted beliefs about healthy eating in the context of YouTube videos. Fruits and vegetables are the epitome of healthy foods. Despite having a favorable perception of healthy eating, people may not purchase commonly recognized healthy food if it has a premium price. People associate healthy eating with weight concerns. Food taste, variety, and availability are identified as reasons why Malaysians cannot act on eating healthily. Conclusions This study offers significant value to the existing literature of health-related studies by investigating the rich and diverse social media data gleaned from YouTube. This research integrated text mining analytics with predictive modeling techniques to identify thematic constructs and analyze the sentiments of healthy eating.
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Pihlaja, Stephen. "“Are You Religious or are You Saved?”." Fieldwork in Religion 6, no. 1 (January 20, 2012): 47–63. http://dx.doi.org/10.1558/firn.v6i1.47.
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Using membership categorization analysis, this article investigates membership categories in a YouTube video made by an Evangelical Christian in which he differentiates between “saved” and “religious” users. Analysis will take a discourse-centred, multimodal approach grounded in longitudinal observation, using analysis of video discourse to instruct analysis of video images and user comments. Findings will show that categorization is accomplished by using recognized categories with ambiguous descriptions of category-bound activities that include metaphors, such as “being hungry for God” and not “hanging out with atheists.” These categories are recognized by commenters on the video, but the category bound activities applied to the category members are disputed. Findings will also show that scriptural reference plays an important role in categorization in the video, drawing on direct Bible quotes as well as paraphrases of key passages.
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Bodrunova, Svetlana S., Anna Litvinenko, Ivan Blekanov, and Dmitry Nepiyushchikh. "Constructive Aggression? Multiple Roles of Aggressive Content in Political Discourse on Russian YouTube." Media and Communication 9, no. 1 (February 3, 2021): 181–94. http://dx.doi.org/10.17645/mac.v9i1.3469.
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Today, aggressive verbal behavior is generally perceived as a threat to integrity and democratic quality of public discussions, including those online. However, we argue that, in more restrictive political regimes, communicative aggression may play constructive roles in both discussion dynamics and empowerment of political groups. This might be especially true for restrictive political and legal environments like Russia, where obscene speech is prohibited by law in registered media and the political environment does not give much space for voicing discontent. Taking Russian YouTube as an example, we explore the roles of two under-researched types of communicative aggression—obscene speech and politically motivated hate speech—within the publics of video commenters. For that, we use the case of the Moscow protests of 2019 against non-admission of independent and oppositional candidates to run for the Moscow city parliament. The sample of over 77,000 comments for 13 videos of more than 100,000 views has undergone pre-processing and vocabulary-based detection of aggression. To assess the impact of hate speech upon the dynamics of the discussions, we have used Granger tests and assessment of discussion histograms; we have also assessed the selected groups of posts in an exploratory manner. Our findings demonstrate that communicative aggression helps to express immediate support and solidarity. It also contextualizes the criticism towards both the authorities and regime challengers, as well as demarcates the counter-public.
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Chen, Meilin, and John Flowerdew. "Discriminatory discursive strategies in online comments on YouTube videos on the Hong Kong Umbrella Movement by Mainland and Hong Kong Chinese." Discourse & Society 30, no. 6 (August 28, 2019): 549–72. http://dx.doi.org/10.1177/0957926519870046.
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This article examines the discriminatory discursive strategies adopted in the online interactions between different power groups from Mainland China and Hong Kong in their response to two YouTube videos about the Hong Kong Umbrella, or Occupy Central, Movement. A corpus of 4329 comments made by 2157 posters from Mainland China and Hong Kong was coded regarding commenters’ place of residence and their perceptions of the Umbrella Movement and then tagged based on Flowerdew et al.’s previous taxonomy of discriminatory discursive strategies. The results show that a wide range of discriminatory discursive strategies, used by two power groups from Hong Kong and one from the Mainland, were found in the majority of the comments, including four sub-strategies not identified by Flowerdew et al. While studies to date on the Umbrella Movement have mainly focused on Hong Kong data, our study contributes to the literature by adding the perspective from Mainland China. The findings of this study provide insights into the increasing social and political tensions between Hong Kong and its mother country as well as the current situation in the divided city.
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Thelwall, Mike, Emma Stuart, Amalia Mas-Bleda, Meiko Makita, and Mahshid Abdoli. "I’m Nervous about Sharing This Secret with You: Youtube Influencers Generate Strong Parasocial Interactions by Discussing Personal Issues." Journal of Data and Information Science 7, no. 2 (April 1, 2022): 31–56. http://dx.doi.org/10.2478/jdis-2022-0011.
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Abstract Purpose Performers may generate loyalty partly through eliciting illusory personal connections with their audience, parasocial relationships (PSRs), and individual illusory exchanges, parasocial interactions (PSIs). On social media, semi-PSIs are real but imbalanced exchanges with audiences, including through comments on influencers’ videos, and strong semi-PSIs are those that occur within PSRs. This article introduces and assesses an automatic method to detect videos with strong PSI potential. Design/methodology/approach Strong semi-PSIs were hypothesized to occur when commenters used a variant of the pronoun “you”, typically addressing the influencer. Comments on the videos of UK female influencer channels were used to test whether the proportion of you pronoun comments could be an automated indicator of strong PSI potential, and to find factors associating with the strong PSI potential of influencer videos. The highest and lowest strong PSI potential videos for 117 influencers were classified with content analysis for strong PSI potential and evidence of factors that might elicit PSIs. Findings The you pronoun proportion was effective at indicating video strong PSI potential, the first automated method to detect any type of PSI. Gazing at the camera, head and shoulders framing, discussing personal issues, and focusing on the influencer associated with higher strong PSI potential for influencer videos. New social media factors found include requesting feedback and discussing the channel itself. Research limitations Only one country, genre and social media platform was analysed. Practical implications The method can be used to automatically detect YouTube videos with strong PSI potential, helping influencers to monitor their performance. Originality/value This is the first automatic method to detect any aspect of PSI or PSR.
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Thelwall, Mike, Emma Stuart, Amalia Mas-Bleda, Meiko Makita, and Mahshid Abdoli. "I’m Nervous about Sharing This Secret with You: Youtube Influencers Generate Strong Parasocial Interactions by Discussing Personal Issues." Journal of Data and Information Science 7, no. 2 (April 1, 2022): 31–56. http://dx.doi.org/10.2478/jdis-2022-0011.
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Abstract Purpose Performers may generate loyalty partly through eliciting illusory personal connections with their audience, parasocial relationships (PSRs), and individual illusory exchanges, parasocial interactions (PSIs). On social media, semi-PSIs are real but imbalanced exchanges with audiences, including through comments on influencers’ videos, and strong semi-PSIs are those that occur within PSRs. This article introduces and assesses an automatic method to detect videos with strong PSI potential. Design/methodology/approach Strong semi-PSIs were hypothesized to occur when commenters used a variant of the pronoun “you”, typically addressing the influencer. Comments on the videos of UK female influencer channels were used to test whether the proportion of you pronoun comments could be an automated indicator of strong PSI potential, and to find factors associating with the strong PSI potential of influencer videos. The highest and lowest strong PSI potential videos for 117 influencers were classified with content analysis for strong PSI potential and evidence of factors that might elicit PSIs. Findings The you pronoun proportion was effective at indicating video strong PSI potential, the first automated method to detect any type of PSI. Gazing at the camera, head and shoulders framing, discussing personal issues, and focusing on the influencer associated with higher strong PSI potential for influencer videos. New social media factors found include requesting feedback and discussing the channel itself. Research limitations Only one country, genre and social media platform was analysed. Practical implications The method can be used to automatically detect YouTube videos with strong PSI potential, helping influencers to monitor their performance. Originality/value This is the first automatic method to detect any aspect of PSI or PSR.
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Kolhatkar, Varada, Hanhan Wu, Luca Cavasso, Emilie Francis, Kavan Shukla, and Maite Taboada. "The SFU Opinion and Comments Corpus: A Corpus for the Analysis of Online News Comments." Corpus Pragmatics 4, no. 2 (November 2, 2019): 155–90. http://dx.doi.org/10.1007/s41701-019-00065-w.
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Abstract We present the SFU Opinion and Comments Corpus (SOCC ), a collection of opinion articles and the comments posted in response to the articles. The articles include all the opinion pieces published in the Canadian newspaper The Globe and Mail in the 5-year period between 2012 and 2016, a total of 10,339 articles and 663,173 comments. SOCC is part of a project that investigates the linguistic characteristics of online comments. The corpus can be used to study a host of pragmatic phenomena. Among other aspects, researchers can explore: the connections between articles and comments; the connections of comments to each other; the types of topics discussed in comments; the nice (constructive) or mean (toxic) ways in which commenters respond to each other; how language is used to convey very specific types of evaluation; and how negation affects the interpretation of evaluative meaning in discourse. Our current focus is the study of constructiveness and evaluation in the comments. To that end, we have annotated a subset of the large corpus (1043 comments) with four layers of annotations: constructiveness, toxicity, negation and Appraisal (Martin and White, The language of evaluation, Palgrave, New York, 2005). This paper details our corpus, the data collection process, the characteristics of the corpus and describes the annotations. While our focus is comments posted in response to opinion news articles, the phenomena in this corpus are likely to be present in many commenting platforms: other news comments, comments and replies in fora such as Reddit, feedback on blogs, or YouTube comments.
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Hariyani, Nunik. "Konstruksi Konten Vlog Penerima Diamond Play Button Di Youtube Indonesia." JURNAL SOSIAL : Jurnal Penelitian Ilmu-Ilmu Sosial 21, no. 1 (May 9, 2020): 24–33. http://dx.doi.org/10.33319/sos.v21i1.55.
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Abstract— The existence of YouTube since 2005, is currently the second most popular social network in the world after Facebook. YouTube users in the world 1.9 billion. YouTube is used to share content and comments. This video-based social media is used to share videos and comment on one another. YouTube users in Indonesia have reached 50 million people. This research will look at how YouTube's Atta Halilintar and Ricis Official content constructions are recipients of the Diamond Play Button award, and how the creative strategy used by YouTuber in its video content. The results of this study are YouTube being the most active social platform used in Indonesia today. Youtube is used for identity and as a promotional media based on PPC (Pay Per Click) where every video that is deemed eligible in it contains Google Adsense ads. Youtube is a money field for many YouTubers in Indonesia with creative concepts according to popular culture. Keywords—: YouTube; Creative Strategy; Video Content; Construction.
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Georgakopoulou, Alex, and Maria Vasilaki. "The personal and/as the political." (Im)politeness and Moral Order in Online Interactions 1, no. 2 (December 31, 2018): 216–41. http://dx.doi.org/10.1075/ip.00011.geo.
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Abstract Drawing on our previous work on the role of small stories in social-mediatized engagements with the Greek socio-economic crisis (Georgakopoulou 2014, 2015), in this article, we set out to shed light on impoliteness on social media through the lens of small stories research. We explore how Facebook and YouTube commenters “bash” political leaders and perceived political opponents and attribute blame to them for the crisis, through comments that attest to specific links of doing impoliteness with storying the crisis. Bashing has been previously related to the affective reactions of participants in online comments on current affairs. In this case, we bring to the fore a salient combination in our data of (mainly on-record) impoliteness strategies for bashing politicians with specific narrating positions in stories about the crisis: the narrator as sufferer, as witness of suffering, and as spokesperson for collective suffering. We argue that in all these cases, on-record impoliteness is normally placed at the end of a small story and presented as legitimated and justified by the preceding account. We conclude with the implications of the association of impoliteness targeting public figures with social-mediatized processes of personalizing and constructing expertise on the basis of experience on the one hand and, on the other hand, of jointly (re)asserting moral order in political affairs.
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Xavier, Bárbara Moreira, Beatriz Carvalho, Inês Mateus, Maria Catarina Luis Guerreiro, and Sidclay Bezerra De Souza. "Quais os comentários negativos e estratégias de enfrentamento mais comuns e eficazes na plataforma digital Youtube?" Revista @mbienteeducação 11, no. 2 (May 1, 2018): 227. http://dx.doi.org/10.26843/ae19828632v11n22018p228a40.
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O presente estudo tem como objetivo compreender qual a tipologia de comentário negativo mais comum nos comentários referentes a vídeos postados na plataforma YouTube, bem como as tipologias de estratégias de enfrentamento utilizadas pelos autores dos vídeos integrantes nesta plataforma. A investigação analisa quatro vídeos identificados como “vídeos virais” inseridos na plataforma, em concordância com quatro testemunhos individuais de YouTubers autores de vídeos referentes à temática do cyberbullying nesta mesma plataforma. É ainda tido como participante o testemunho de um YouTuber sobre a sua experiência com o cyberbullying por meio de uma entrevista. Os resultados demonstram que os comentários mais comuns nos vídeos virais analisados, são referentes à categoria de “Atributos Físicos” e a estratégia de enfrentamento que os YouTubers indicam utilizar com maior frequência é “Fazer frente ao sucedido”. Os resultados podem indicar que a incidência nos comentários quanto aos “Atributos físicos” tem relação com a exposição da imagem do indivíduo publicamente, sendo as estratégias aplicadas a um nível mais indireto devido ao distanciamento pessoal que ocorre na rede online.PALAVRAS CHAVE: CYBERBULLYING; YOUTUBE; ESTRATÉGIAS DE ENFRENTAMENTO; COMENTÁRIOS NEGATIVOS.¿QUÉ LOS COMENTARIOS NEGATIVOS Y ESTRATEGIAS DE ENFRENTAMIENTO MÁS COMUNES Y EFICACES EN LA PLATAFORMA DIGITAL YOUTUBE?RESUMEN El seguiente estudio tiene como objetivo compreender cual es el tipo de comentario negativo mas común en comentarios realizados a videos publicados en la plataforma Youtube, así como también el tipo de estrategias de enfrentamiento utilizadas por los autores de los videos que se encuentran en dicha plataforma. Esta investigación analiza cuatro videos designados como “videos virales” incluidos en la plataforma, en concordancia con cuatro testimonios individuales de Youtubers autores de videos que hacen referencia a la temática del cyberbullying en esta misma plataforma. Fue, también, considerado como participante el testimonio de un Youtuber sobre su experiencia con el Cyberbullying a travez de una entrevista. Los resultados demuestran que los comentarios mas comunes en los videos virales analizados, se refieren a la categoría de “Atributos Físicos” y que la estrategia de enfrentamiento que los Youtubers utilizan con mas frecuencia es “Hacerle frente a lo sucedido”. Los resultados pueden indicar que lo que influencia los comentarios relacionados con los “atributos físicos” está relacionado com la exposición de la imagen del individuo publicamente, siendo que las estrategias aplicadas se desenvuelven en un nivel mas indirecto devido al distanciamiento personal que ocurre en la red online.PALAVRAS CLAVE: CYBERBULLYING, YOUTUBE, ESTRATEGIAS DE ENFRENTAMIENTO, COMENTARIOS NEGATIVOSWHAT MOST COMMON AND EFFECTIVE NEGATIVE COMMENTS AND COACHING STRATEGIES ON THE DIGITAL YOUTUBE PLATFORM?ABSTRACTThe present research aims to understand the typology of the most negative common comments related to videos posted on the YouTube platform, as well as the coping strategies most used by the YouTubers. The investigation analyzes four videos inserted in the platform YouTube identified as “viral videos”, in agreement with four individual testimonies of YouTubers referring to their experience with cyberbullying in this same platform. The results show that the most negative common comments in viral videos analyzed relate to the category of “Physical Attributes” and the coping strategy that YouTubers indicate to use the most is “Facing The Situation”. The results on this study indicating that the focus on comments on “Physical Attributes” is related to the exposure of the individual’s image publicly, with strategies being applied at a more indirect level because of the personal distancing that occurs in the online network.KEYWORDS: CYBERBULLYING, YOUTUBE, COPING STRATEGIES, NEGATIVE COMMENTS.
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Чуб, Алексей Сергеевич. "VERBAL AND NONVERBAL MEANS OF IMPLEMENTING THE STRATEGY OF DISTRUST IN THE COMMENTS OF YOUTUBE USERS (BY THE MATERIAL OF THE COMMENTS TO VIDEOS ABOUT THE “DIE CORONA-WARN-APP”)." Tomsk state pedagogical university bulletin, no. 4(216) (July 6, 2021): 67–74. http://dx.doi.org/10.23951/1609-624x-2021-4-67-74.
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Введение. Для описания современных практик речевого общения, используемых в разных сферах личной и институциональной коммуникации, актуальным является анализ различных речевых стратегий, проводимый в рамках дискурсивных и прагмалингвистических исследований современного языкового материала. В связи с этим производится анализ комментариев немецкоязычных пользователей видеохостинга YouTube с целью определения вербальных и невербальных способов реализации стратегии недоверия в интернет-дискурсе. Цель – анализ вербальных и невербальных способов реализации стратегии недоверия в комментариях пользователей к немецкоязычным видеоматериалам на YouTube. Материал и методы. Материалом для исследования послужили 43 комментария на немецком языке к 14 видеороликам о разработке приложения-трекера Die Corona-Warn-App. Отбор комментариев осуществлялся в произвольном порядке, далее материал подвергался контекстуальному, семантическому и прагмалингвистическому анализу. Результаты и обсуждение. Комментарий рассматривался как жанр публичной дискуссии, отражающий определенное намерение автора, его отношение к обсуждаемому объекту действительности, реализуемый посредством различных вербальных и невербальных средств. Отбор данных средств позволяет автору комментария реализовать определенные речевые стратегии. Речевые стратегии, реализуемые в сетевых комментариях на платформе YouTube, могут быть классифицированы согласно критерию «сохранение коммуникативного равновесия». На основании данного критерия могут быть выделены две группы стратегий: кооперативные и некооперативные (стратегии кооперации и конфронтации). Стратегия недоверия рассматривается нами как ассертивная речевая стратегия, в основе которой лежит признак оценочности, позволяющий дифференцировать отношение говорящего к обсуждаемому объекту по шкале «хорошо/плохо». Данная стратегия направлена на выражение критики, скептицизма и сомнения по отношению к определенному событию или явлению. Иными словами, посредством стратегии недоверия данное событие или явление наделяется признаком «отклонения от нормы». Реализации данной стратегии способствует совокупность определенных тактик: гиперболизации, устрашения, аллюзий, насмешки, доведения до абсурда. В сетевых комментариях стратегия недоверия выражается при помощи различных вербальных и невербальных средств, которые могут быть использованы как изолированно друг от друга, так и в определенных комбинациях. Заключение. Анализ сетевых комментариев к видеороликам о разработке приложения-трекера Die Corona-Warn-App на немецком языке позволил выявить набор определенных вербальных и невербальных способов реализации стратегии недоверия в одном из актуальных и современных жанров интернет-коммуникации. Исследование может быть продолжено обращением к анализу языкового материала других жанров и других распространенных языков мира, тем самым внося вклад в изучение механизмов эффективной коммуникации. Introduction. In order to describe modern practices of verbal communication used in various spheres of personal and institutional communication, it is relevant to analyze communicative strategies and tactics carried out within the framework of discursive and pragmalinguistic studies of modern linguistic material. Internet communication provides a wide range of opportunities for the analysis of speech strategies within this type of discourse. The aim of the work is the analysis of verbal and nonverbal means of implementing the strategy of distrust in online comments on YouTube. Material and methods. The materials of the study are 43 comments to 14 videos about the German mobile application called “Die Corona-Warn-App”. The randomly selected comments were subjected to contextual, semantic and pragmalinguistic analysis. Results and discussion. We can define an online comment as a genre of public discussion, a multimedia phenomenon that functions as a sociocultural tool significantly contributing to shaping public opinion and as a means of linguistic construction of social reality. The speaker’s intention or attitude towards a certain object of reality is expressed with the help of various communication strategies and tactics. Taking into account the criterion “communication balance” we can distinguish two groups of communication strategies: cooperative and noncooperative (cooperation and confrontation strategies). Conclusion. Strategy of distrust is considered as an assertive communication strategy and is based on the evaluation criterion which differentiates the speaker’s attitude according to the “good-bad” scale. Thus, a speaker evaluates a certain event or an object on the basis of its relation to “normality”. By means of this strategy a speaker can express criticism and skepticism in relation to a particular event or phenomenon. This strategy includes a set of tactics: exaggeration, intimidation, allusions, ridicule etc. In online comments strategy of distrust is expressed by various verbal and nonverbal means which can be used both separately and in certain combinations. Examples of verbal means include allusions to negative historical and social phenomena, words with negative connotation, obscene language and various stylistic devices that emphasize the negative attitude of commenters towards the topic. Nonverbal means include capitalization, excessive use of exclamation marks and emojis.
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Chattopadhyay, Souti, Denae Ford, and Thomas Zimmermann. "Developers Who Vlog: Dismantling Stereotypes through Community and Identity." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–33. http://dx.doi.org/10.1145/3479530.
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Developers are more than "nerds behind computers all day", they lead a normal life, and not all take the traditional path to learn programming. However, the public still sees software development as a profession for "math wizards". To learn more about this special type of knowledge worker from their first-person perspective, we conducted three studies to learn how developers describe a day in their life through vlogs on YouTube and how these vlogs were received by the broader community. We first interviewed 16 developers who vlogged to identify their motivations for creating this content and their intention behind what they chose to portray. Second, we analyzed 130 vlogs (video blogs) to understand the range of the content conveyed through videos. Third, we analyzed 1176 comments from the 130 vlogs to understand the impact the vlogs have on the audience. We found that developers were motivated to promote and build a diverse community, by sharing different aspects of life that define their identity, and by creating awareness about learning and career opportunities in computing. They used vlogs to share a variety of how software developers work and live---showcasing often unseen experiences, including intimate moments from their personal life. From our comment analysis, we found that the vlogs were valuable to the audience to find information and seek advice. Commenters sought opportunities to connect with others over shared triumphs and trials they faced that were also shown in the vlogs. As a central theme, we found that developers use vlogs to challenge the misconceptions and stereotypes around their identity, work-life, and well-being. These social stigmas are obstacles to an inclusive and accepting community and can deter people from choosing software development as a career. We also discuss the implications of using vlogs to support developers, researchers, and beyond.
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Evelina, Lidya Wati, and Yulianne Safitri. "Utilization of YouTube Social Communication Networking in Establishing Indonesian Street Food Opinion." Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia 6, no. 1 (June 15, 2021): 44–52. http://dx.doi.org/10.25008/jkiski.v6i1.406.
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In the development of technology in the era of society 5.0, the trend of community activity in social media is oriented towards conversations about YouTube content. The urgency of this research is expected to contribute to the development of communication science, especially for social media activists, especially Indonesian YouTubers, to create Indonesian Street Food content by seeing the phenomenon of foreign YouTubers liking and creating Indonesian Street food content on their YouTubers channel. Discussion on Networking in Establishing The opinion of Indonesian street food that is reviewed on YouTube social media aims to explain foreigner reviews about Indonesian street food from the conversations that occur in the comments. The theory used is the theory of social communication networks, the concept of online community involvement, creative content on YouTube using a qualitative approach. Data collection was carried out using the netnography method obtained from observing content and comments on the YouTube Channel. The findings of this study are that there is intense and funny communication between foreigners regarding terms used in street food in Indonesia, likes and comments on YouTube channels can provide recommendations for foreign tourists to choose Indonesian Street Food when visiting Indonesia. The results of his research opinion were formed from conversations that took place through comments on Indonesian street food content on Luke Martin and Sabrina Davidson's Foreigners YouTube Channel.
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Lange, Patricia G. "Conceptualizing communities of truth on YouTube." Explorations in Media Ecology 20, no. 1 (March 1, 2021): 33–54. http://dx.doi.org/10.1386/eme_00071_1.
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Commentary on YouTube has been characterized as a ‘cesspool’. Yet, participants with divergent opinions do post comments to exchange ideas and share information. This study analyses comments posted to a video about YouTube community to investigate the site’s potential for knowledge exploration. The study analyses whether commentary dynamics exhibit those found in prior scholars’ rubric of a community of truth. This model rejects hierarchical forms of learning and advocates sincere information sharing and evaluation. The article argues that certain strands of media ecology scholarship are commensurate with the principles of a community of truth, in which knowledge seekers deploy digital environments to collectively explore a subject of inquiry – in this case the potential for establishing a YouTube community. Such a knowledge subject does not exist as a pre-defined object in the world but rather emerges through digital interaction that channels the subject’s desires about its ideal form through YouTube comments.
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Wu, Siqi, and Paul Resnick. "Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 808–19. http://dx.doi.org/10.1609/icwsm.v15i1.18105.
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We present the first large-scale measurement study of cross-partisan discussions between liberals and conservatives on YouTube, based on a dataset of 274,241 political videos from 973 channels of US partisan media and 134M comments from 9.3M users over eight months in 2020. Contrary to a simple narrative of echo chambers, we find a surprising amount of cross-talk: most users with at least 10 comments posted at least once on both left-leaning and right-leaning YouTube channels. Cross-talk, however, was not symmetric. Based on the user leaning predicted by a hierarchical attention model, we find that conservatives were much more likely to comment on left-leaning videos than liberals on right-leaning videos. Secondly, YouTube's comment sorting algorithm made cross-partisan comments modestly less visible; for example, comments from conservatives made up 26.3% of all comments on left-leaning videos but just over 20% of the comments were in the top 20 positions. Lastly, using Perspective API's toxicity score as a measure of quality, we find that conservatives were not significantly more toxic than liberals when users directly commented on the content of videos. However, when users replied to comments from other users, we find that cross-partisan replies were more toxic than co-partisan replies on both left-leaning and right-leaning videos, with cross-partisan replies being especially toxic on the replier's home turf.
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Jesvanny, Jesvanny, Riris Loisa, and Sisca Aulia. "Peran Youtuber dengan Penonton dalam Menjalankan Gaya Hidup Sehat New Normal (Studi Kasus Youtuber Shiely Venessa)." Koneksi 6, no. 1 (March 2, 2022): 23. http://dx.doi.org/10.24912/kn.v6i1.10538.
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The development in the 4.0 industrial revolution resulted in the internet developing rapidly, so that the application of technology has spread throughout all sectors. This was coupled with the Covid-19 pandemic, and made changes in the pattern of people's lives in Indonesia which led to an increase in internet users in Indonesia to 175.4 million million or it can be said that 50 % of the total population of Indonesia. And the social media that is in the spotlight is Youtube so it is used in this study. The purpose of this study is to determine whether there is a role for Youtuber and the audience in carrying out a new normal healthy lifestyle. The research method used in this research is qualitative with data collection techniques in the form of observation and interviews with YouTubers and Subscribers, and with the aim of knowing whether there is a Youtuber role with the audience in carrying out a new normal healthy lifestyle. The results of the study show that YouTubers are very interested in creating content about this new normal healthy lifestyle and Subscribers and Viewers provide good comments and responses with new normal healthy lifestyle content.Perkembangan dalam revolusi industri 4.0 mengakibatkan internet berkembang dengan pesat, hingga penerapan teknologi pun telah menyebar di seluruh sektor. Hal ini ditambah dengan pandemi Covid-19 yang membuat perubahan dalam pola hidup masyarakat Indonesia. Pengguna internet di Indonesia melonjak hingga 175,4 juta jiwa atau dapat dikatakan 50% dari total penduduk Indonesia. Penggunaan media sosial juga melonjak salah satunya Youtube. Penelitian ini ingin mengetahui ada tidaknya peran youtuber dengan penonton dalam menjalankan gaya hidup sehat new normal. Metode penelitian yang digunakan dalam penelitian ini adalah kualitatif dengan teknik pengumpulan data berupa observasi dan wawancara dengan youtuber dan pelanggan (subscriber), dan dengan tujuan untuk mengetahui ada tidaknya peran youtuber dengan penonton dalam menjalankan gaya hidup sehat new normal. Hasil dari penelitian menunjukan bahwa para youtuber sangat tertarik untuk membuat konten tentang gaya hidup sehat new normal, subscriber dan penonton (viewer) memberikan komentar dan tanggapan yang baik dengan konten gaya hidup sehat new normal.
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PULI, SRILATHA. "N-GRAMS ASSISTED YOUTUBE SPAM COMMENTDETECTION." YMER Digital 21, no. 04 (April 20, 2022): 332–45. http://dx.doi.org/10.37896/ymer21.04/30.
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This paper proposes a novel technique for detecting intrusive comments or spam on the video sharing website - YouTube. We describe spam comments as those which have persuasive intent or those who deem to be contextually irrelevant for a given video. The prospects of monetization through advertising on popular social media channels over the years have attracted an increasingly large number of users. This has in turn led to the growth of the malicious users who have begun to build up automated bots, which are proficient of large scale orchestrated distribution of spam messages across multiple channels simultaneously. These intrusive comments damage the fame of a channel and also the experience of regular users. YouTube themselves have embarked upon this issue with some finite methods which blocks unsolicited comments that consists of links. Those methods have proven to be exceptionally unproductive as spammers have found strategies to bypass such heuristics. Standard machine learning classification algorithms are operative but there is always a possibility for better accuracy with novel methods. In this work, we aim to identify such comments by implementing conventional machine learning algorithms such as Random Forest, Support Vector Machine, and Naive Bayes along with certain custom heuristics such as Count Vectorizer which have proven to be very effective in detecting and subsequently combating spam commentary.
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Allington, Daniel, and Tanvi Joshi. "“What Others Dare Not Say”: An Antisemitic Conspiracy Fantasy and its YouTube Audience." Spring 2020 3, no. 3.1 (June 12, 2020): 35–54. http://dx.doi.org/10.26613/3.1.42.
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The YouTube video-sharing platform is one of the most important sites for the dissemination of conspiracy theory, or—to give it a more accurately descriptive term—conspiracy fantasy. After surveying the historical and contemporary evidence for the role of conspiracy fantasy in right-wing violent extremism, this article turns its focus to a YouTube video excerpted from a public lecture in which professional conspiracy theorist David Icke purports to expose members of a “Rothschild Zionist” secret society. First, historical discourse analysis is used to situate Icke’s fantasy within the antisemitic tradition of the extreme right. Then, the reception of Icke’s fantasy is studied through quantitative content analysis of YouTube user comments (n = 1123). Comments supportive of the video and its creator are found to outnumber comments that challenge them, as are comments expressing hostility to Jews or extending the video’s accusations against “Rothschild Zionists” to real-world Jewish collectivities. Moreover, the most popular comments are found to be disproportionately likely to be supportive of Icke or his video or otherwise anti-Jewish. These findings provide evidence that at least the active portion of the video’s YouTube audience may have had a tendency not only towards support of Icke’s ideas but also towards linkage of those ideas with an overtly antisemitic worldview. It is argued that YouTube’s ranking of comments by popularity may be serving to insulate harmful fantasies such as Icke’s from rational challenge by rendering genuinely critical responses invisible. This illustrates the dangers of outsourcing the evaluation of content to an online user community. But it also suggests that YouTube’s user interface design may be actively contributing to the spread of misinformation and bigotry by placing those who try to oppose them at a disadvantage. Keywords: antizionism, audience, conspiracism, conspiracy fantasy, conspiracy theory, content analysis, David Icke, discourse analysis, reception, right-wing extremism, YouTube
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Allington, Daniel, and Tanvi Joshi. "“What Others Dare Not Say”: An Antisemitic Conspiracy Fantasy and its YouTube Audience." Spring 2020 3, no. 3.1 (June 12, 2020): 35–54. http://dx.doi.org/10.26613/jca/3.1.42.
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The YouTube video-sharing platform is one of the most important sites for the dissemination of conspiracy theory, or—to give it a more accurately descriptive term—conspiracy fantasy. After surveying the historical and contemporary evidence for the role of conspiracy fantasy in right-wing violent extremism, this article turns its focus to a YouTube video excerpted from a public lecture in which professional conspiracy theorist David Icke purports to expose members of a “Rothschild Zionist” secret society. First, historical discourse analysis is used to situate Icke’s fantasy within the antisemitic tradition of the extreme right. Then, the reception of Icke’s fantasy is studied through quantitative content analysis of YouTube user comments (n = 1123). Comments supportive of the video and its creator are found to outnumber comments that challenge them, as are comments expressing hostility to Jews or extending the video’s accusations against “Rothschild Zionists” to real-world Jewish collectivities. Moreover, the most popular comments are found to be disproportionately likely to be supportive of Icke or his video or otherwise anti-Jewish. These findings provide evidence that at least the active portion of the video’s YouTube audience may have had a tendency not only towards support of Icke’s ideas but also towards linkage of those ideas with an overtly antisemitic worldview. It is argued that YouTube’s ranking of comments by popularity may be serving to insulate harmful fantasies such as Icke’s from rational challenge by rendering genuinely critical responses invisible. This illustrates the dangers of outsourcing the evaluation of content to an online user community. But it also suggests that YouTube’s user interface design may be actively contributing to the spread of misinformation and bigotry by placing those who try to oppose them at a disadvantage. Keywords: antizionism, audience, conspiracism, conspiracy fantasy, conspiracy theory, content analysis, David Icke, discourse analysis, reception, right-wing extremism, YouTube
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Hassan, Bahaa-eddin A. "Impolite viewer responses in Arabic political TV talk shows on YouTube." Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA) 29, no. 4 (August 27, 2019): 521–44. http://dx.doi.org/10.1075/prag.18025.has.
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Abstract The article deals with the features of impolite responses of YouTube Arab viewers of political TV talk shows. YouTube comments are written discourse of live commentary, a new genre of computer-mediated communication. Based on data from comments of Arabic viewers of political TV talk shows on YouTube, the article argues that impolite responses appear to be a common feature in Arabic comments in political talk shows on YouTube. Identity and power are reconsidered in this paper as variables that trigger impoliteness in Arabic online responses in political talk shows on YouTube. It argues that obscuring identity online incites the use of conventionalized impoliteness to exercise power on the TV presenter or the TV episode’s guest. The article also shows how communication variables such as context, commentator’s identity and models of communication influence the realization of impolite responses in those online interactions. The study draws on Spencer-Oatey (2007) to correlate identity, power, and impoliteness. It also utilized Culpeper’s (2011) bottom-up model of impoliteness triggers.
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Murthy, Dhiraj, and Sanjay Sharma. "Visualizing YouTube’s comment space: online hostility as a networked phenomena." New Media & Society 21, no. 1 (August 16, 2018): 191–213. http://dx.doi.org/10.1177/1461444818792393.
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This study examines YouTube’s comment space. By focusing on responses to the provocative musical group, Das Racist, we offer an innovative analysis of online racialized expression as a networked phenomenon. A blend of social network analysis, qualitative coding, and thick data descriptive methods are used to interpret comments posted on the five most viewed Das Racist videos. Given the dearth of literature exploring YouTube’s comment space, this study serves as a critical means to further understand race and the production and consumption of YouTube comments in everyday online encounters. We visualized networked antagonisms, which were found to be significantly racialized, and entangled with other expressions of hostility. YouTube comments are often perceived as individual, random insults or only generalized expressions of “hate.” Our study probes deeper and discovers that racialized expressions also involved networked interactions, where hostile ideas, passed through multiple parts of the comment network, both intra-/inter-video.
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Kaur, Gagandeep, Abhishek Kaushik, and Shubham Sharma. "Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach." Big Data and Cognitive Computing 3, no. 3 (July 3, 2019): 37. http://dx.doi.org/10.3390/bdcc3030037.
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The success of Youtube has attracted a lot of users, which results in an increase of the number of comments present on Youtube channels. By analyzing those comments we could provide insight to the Youtubers that would help them to deliver better quality. Youtube is very popular in India. A majority of the population in India speak and write a mixture of two languages known as Hinglish for casual communication on social media. Our study focuses on the sentiment analysis of Hinglish comments on cookery channels. The unsupervised learning technique DBSCAN was employed in our work to find the different patterns in the comments data. We have modelled and evaluated both parametric and non-parametric learning algorithms. Logistic regression with the term frequency vectorizer gave 74.01% accuracy in Nisha Madulika’s dataset and 75.37% accuracy in Kabita’s Kitchen dataset. Each classifier is statistically tested in our study.
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Rosenbusch, Hannes, Anthony M. Evans, and Marcel Zeelenberg. "Multilevel Emotion Transfer on YouTube: Disentangling the Effects of Emotional Contagion and Homophily on Video Audiences." Social Psychological and Personality Science 10, no. 8 (January 25, 2019): 1028–35. http://dx.doi.org/10.1177/1948550618820309.
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Why do connected users in online social networks express similar emotions? Past approaches have suggested situational emotion transfers (i.e., contagion) and the phenomenon that emotionally similar users flock together (i.e., homophily). We analyze these mechanisms in unison by exploiting the hierarchical structure of YouTube through multilevel analyses, disaggregating the video- and channel-level effects of YouTuber emotions on audience comments. Dictionary analyses using the National Research Council emotion lexica were used to measure the emotions expressed in videos and user comments from 2,083 YouTube vlogs selected from 110 vloggers. We find that video- and channel-level emotions independently influence audience emotions, providing evidence for both contagion and homophily effects. Random slope models suggest that contagion strength varies between YouTube channels for some emotions. However, neither average channel-level emotions nor number of subscribers significantly moderate the strength of contagion effects. The present study highlights that multiple, independent mechanisms shape emotions in online social networks.
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Park, Juha, and Jaehoon Chun. "Expressing lookism on YouTube fashion channels: Perceptions of young Korean women." International Journal of Fashion Studies 9, no. 1 (April 1, 2022): 87–107. http://dx.doi.org/10.1386/infs_00061_1.
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This study examines the factors that promote lookism on YouTube fashion channels as well as the influence of video watching by analysing media viewers experiencing lookism in Korean society. Young Korean women in their 20s who subscribe to YouTube fashion channels were interviewed. On these fashion channels, viewers’ herd mentality is stimulated by videos about certain looks or slender physiques and plastic surgery, while the comments highlight the importance of one’s appearance, causing viewers to be concerned with others’ assessments of their looks. Compared with celebrities, beauty/fashion YouTubers share ordinary themes and familiarize themselves with viewers, eventually becoming objects of social comparison and standards of ideal beauty in Korea. Viewers’ consistent exposure to these videos causes them to compare their socio-economic conditions regarding appearance management with those of the YouTubers. Meanwhile, the positive appearance-related values and healthy appearance management of some YouTubers enable their viewers to recognize diversity in appearance and independently participate in appearance management, thus increasing confidence in viewers’ appearance and reinforcing their use of beauty/fashion YouTube content to discover their own tastes. Research has shown that YouTube videos and YouTubers can affect one’s perception and attitude towards personal appearance and confirmed that the influence of YouTube fashion channels on society is growing as an emerging discourse on appearance management based on diversity. This study finds that fashion-related content on YouTube substantially affects viewers’ different perceptions of looks, appearance management behaviours and appearance-related values. This study has implications for social media studies by suggesting the need to constantly examine YouTube, a medium that reflects the phenomenon of lookism in Korean society.
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Prayoga, Reza Amarta. "Perundungan di Dunia Maya sebagai Perilaku Menyimpang: Analisis Isi Komentar dalam Konten Youtube Keke Bukan Boneka pada Kanal Rahmawati Kekeyi Putri Cantikka." Jurnal Kawistara 12, no. 2 (October 5, 2022): 243. http://dx.doi.org/10.22146/kawistara.72335.
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The comment column as an expressive forum on YouTube video sharing media is often used as a ground by netizens to stab comments - comments about "bullying cattle". Killing personal characters, dropping people's dignity, and negative comments tend to be rude, becoming decorations that are easily found and accessed in the comments column on YouTube. This paper specifically describes the behavior of netizens in bullying on Rahmawati Kekeyi Putri Cantikka's youtube channel on the content of the song Keke Bukan Boneka. The method used is descriptive qualitative. The form of data presented in this study is commented (responses or reviews) from citizens contained in the youtube channel. The presentation of the data analysis network in the form of comments using an online application, namely https://netlytic.org, and interpreted based on the theory of cyberbullying behavior proposed by Willard and the theory of deviant behavior from the combination of perspectives of James Vender Zender, Bruce J Cohen, and Robert M.Z. Lawang. The results of this study show that first, the content of the song Keke Bukan Boneka is used as an arena decorated with flaming, harassment, and denigration-type bullying comments on the figure of Kekeyi and trapped in a vortex of deviant behavior. Second, the network of bullying accounts is involved in enlivening the comment column, allegedly as a way to go viral the content of the song. Third, behind the exploitation that accompanied the bullying of Kekeyi, it turned out to be a commodity object to get monetization in the form of fantastic income from YouTube.
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Döring, Nicola, and M. Rohangis Mohseni. "Gendered hate speech in YouTube and YouNow comments: Results of two content analyses." Studies in Communication and Media 9, no. 1 (2020): 62–88. http://dx.doi.org/10.5771/2192-4007-2020-1-62.
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Online hate speech in general, and gendered online hate speech in particular, have become an issue of growing concern both in public and academic discourses. However, although YouTube is the most important social media platform today and the popularity of social live streaming services (SLSS) such as Twitch, Periscope and YouNow is constantly growing, research on gendered online hate speech on video platforms is scarce. To bridge this empirical gap, two studies investigated gendered online hate speech in video comments on YouTube and YouNow, thereby systematically replicating a study by Wotanis and McMillan (2014). Study 1 investigated YouTube in the form of a content analysis of N = 8,000 publicly available video comments that were addressed towards four pairs of female and male German-speaking YouTubers within the popular genres Comedy, Gaming, HowTo & Style, and Sports [Fitness]. Study 2 examined YouNow, with a quantitative content analysis of N = 6,844 publicly available video comments made during the video streams of 16 female and 14 male popular German-speaking YouNowers. Study 1 successfully replicated the findings of Wotanis and McMillan (2014) that compared to male You-Tubers, female YouTubers received more negative video comments (including sexist, racist, and sexually aggressive hate speech) (H1a). In addition, they received fewer positive video comments regarding personality and video content but more positive video comments regarding physical appearance (H2a). Study 2 partly confirmed the earlier findings: It found that, compared to male YouNowers, the video comments received by female YouNowers were more sexist and sexually aggressive, but not generally more hostile or negative (H1b). They received more positive video comments regarding their physical appearance but did not receive fewer positive video comments regarding their personality or the content of their videos (H2b). With some exceptions, the findings of study 2 were comparable to the findings of study 1 (RQ1). In both studies, most effect sizes were small. Overall, females on the video platforms YouTube and YouNow seem to be disproportionately affected by both hostile and benevolent sexism expressed in viewer comments. The results are in line with the Expectation States Theory and the Ambivalent Sexism Theory. The total number of public hate comments was probably underestimated because inappropriate comments can be deleted by moderators and users. Future research directions and practical implications are discussed. Supplementary material can be retrieved from https://osf.io/da8tw
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Ayatina, Ayatina. "PRINSIP KESANTUNAN PADA KOMENTAR BERITA DI YOUTUBE KOMPAS TV." J-Simbol: Jurnal Magister Pendidikan Bahasa dan Sastra Indonesia 9, no. 1 (2021): 36–43. http://dx.doi.org/10.23960/j-simbol/v9i1.2021.6.
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This article explains the principle of civility in the online news comments of the Kompas Tv. The purpose of this study is to describe the principles of indonesian-language civility in the social media commentary column for knowing what form the impact and violation of language based principles. Research data on speech obtained from youtube channel Kompas Tv in the political news category. By using a descriptive, qualitative method. Research has revealed that speech complies with the maxim of the wisdom, maxim of generosity, maxim of compliments, maxim of humility, maxim of agreements, maxim of sympathy. But it is the divine truth that violates the maxim of the wisdom, the maxim of generosity, the maxim of compliments, the maxim of humility, maxim of a deal, the maxim of sympathy.
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Cheng, Qijin, Angie Kwan Yu Shum, Flora Wai Lam Ip, Ho Kit Wong, Wilson Kam Kai Yip, Aron Hin Lun Kam, and Paul S. F. Yip. "Co-Creation and Impacts of a Suicide Prevention Video." Crisis 41, no. 1 (January 2020): 7–14. http://dx.doi.org/10.1027/0227-5910/a000593.
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Abstract. Background: Youth suicide has become an emerging public health challenge globally. In this study we leveraged the power of social media to better engage the youth population. Aims: We aimed to investigate the impacts of promoting suicide prevention through social media and evaluate the co-creation process of the project with a popular YouTuber in Hong Kong. Method: A YouTube suicide prevention short film was co-produced by the YouTuber and the research team. We examined the co-creation process using thematic analysis, and analyzed the YouTube video statistics and the data collected from the online survey and public comments. Results: The short film brought positive perceived changes in the audience's suicide prevention knowledge, attitude, and behaviors. Three facilitating factors and one challenge of the co-creation process were identified. The short film statistics and demographics of the audience were also extracted and analyzed. Limitations: There was a small sample size and a lack of a control group in this study. Conclusion: Suicide prevention promotion by the YouTuber was promising. This study demonstrates the effectiveness in promoting suicide prevention via social media and provides a framework for future studies to evaluate similar forms of collaborations.
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Kim, Dukjin, Wooyoung Lee, Dohyung Kim, and Gwangyong Gim. "An Empirical Study on Filter Bubbles in the YouTube Comments Network." International Journal of Software Innovation 9, no. 3 (July 2021): 52–65. http://dx.doi.org/10.4018/ijsi.2021070104.
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Some point out that the influence of YouTube's video recommendation algorithm is causing users to be exposed to only video clips in limited subjects or fields, especially to biased content with opinions that are tilted to one side. However, there is a lack of empirical research on filter bubbles as algorithms in YouTube have not been disclosed. This study indirectly demonstrated the phenomenon of filter bubble on YouTube by extracting comment-based content network between uploaders who posted videos and writers who wrote comments on the video by each subject of the contents. Also, this study analyzed communication patterns between users through social network analysis (SNA). According to the analysis, users' narrow information acquisition and communication phenomenon caused by the filter bubble in YouTube was found.
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Afifa, Salsabila, Yelfiza Yelfiza, and Yola Merina. "Cyberbullying Found in Commentary on English Educational Youtube Channel for High School Students." Edumaspul: Jurnal Pendidikan 6, no. 1 (March 1, 2022): 717–22. http://dx.doi.org/10.33487/edumaspul.v6i1.2039.
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Cyberbullying is a phenomenon that occurs in social networks such as (e-mail, Facebook, Instagram, Twitter, blogs, YouTube, etc.) where internet access is very easy to get. Cyberbullying occurs on an intentional basis based on 7 types of cyberbullying according to Styron et al. (2016) namely: Flaming (burning), Online Harassment (distraction), Cyberstalking, Denigration (defamation), Impersonating (impersonation), Trickery (deception), Exclusion (exception in online groups). The background of this research is based on a real basic phenomenon that can be seen on various social media platforms, cyberbullying has a bad impact on the generation of students and the education of teenagers. Researchers conducted this research on a YouTube channel commentary platform with video content about learning English for high school students/equivalent. The method used in this research is the phenomenological method, where the data can be obtained based on real events. Of the seven types of cyberbullying, researchers found three types of cyberbullying in youtube comments based on the scope of data sources in the youtube channel comments found by researchers, types of data found were as follows: Flaming, Online Harassment, and Denigration.
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Tur-Viñes and Castelló-Martínez. "Commenting on Top Spanish YouTubers: “No Comment”." Social Sciences 8, no. 10 (September 20, 2019): 266. http://dx.doi.org/10.3390/socsci8100266.
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The aim of this paper was to analyze commenting activity and sentiment (polarity and subjectivity) in interactions in response to videos by Spain’s most-subscribed YouTubers. An exploratory study was conducted on the content of the comments, their relationship with other social media actions, subjectivity, and polarity, as well as from the perspective of the participatory culture. The results show that commenting is a potential option for interaction that is underused by the communities of users. Replies to comments are found to be limited to the user–user level, while YouTubers themselves and the moderators that YouTube allows them to designate rarely comment or reply on social networks. However, creators do monitor comments and provide feedback to a limited selection thereof in subsequent videos. There thus appears to be a strategic, exploitative use of comments, marked by a delayed response aimed at attracting audiences to new content.
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Gan, Lin. "Research on Prediction of Different Categories of Video based on YOUTUBE Using Text Mining and Sentiment Analysis." BCP Business & Management 13 (November 16, 2021): 176–79. http://dx.doi.org/10.54691/bcpbm.v13i.91.
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With the development of online commentary research, scholars have tried to tap into the deeper value of online commentary from the analysis of sentiment analysis, quality evaluation, false comment recognition to the usefulness of comments. Previous studies have focused on online product reviews while news reviews. Social media research has been relatively rare. social media and news commentary contain readers' opinions and evaluations on current events, and reflect the trend of public opinion. The purpose of this paper is to investigate and analyze the intrinsic link between social media content of different type and the number of commentaries, and sentiment analysis.
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Cheng, Qijin, Carrie Lui, Flora Wai Lam Ip, and Paul Siu Fai Yip. "Typology and Impact of YouTube Videos Posted in Response to a Student Suicide Crisis: Social Media Metrics and Content Analyses." JMIR Mental Health 8, no. 6 (June 17, 2021): e15551. http://dx.doi.org/10.2196/15551.
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Background Videos relating to suicide are available on YouTube, but their characteristics and impacts have seldom been examined. Objective This study aimed to examine YouTube videos posted in response to a sudden spate of student suicides in Hong Kong during the 2015-2016 school year and evaluate the impacts of those videos. Methods Keyword search was performed on YouTube, and relevant videos were identified. Video typology was examined through content analysis, specifically grouping the videos by who uploaded the videos, what presentation formats were used in the videos, whether the videos were originally created by the uploaders, and whether the videos disclosed the uploaders’ personal experiences with suicide. Impacts of the videos were assessed in terms of reach (measured by view count), engagement (measured by comment count), and insights (measured as to what extent the comments to each video could reveal personal suicide risk and attitude toward help-seeking). Statistical analysis was conducted to compare the impacts of different types of videos. The 7 most impactful videos that were originally created by the YouTubers were selected for further analysis. They were compared with 7 videos uploaded by the same YouTubers right before the student suicide videos and 7 right after the student suicide videos. The comparison focused on their impacts and the network structure of the comments to those videos. Results A total of 162 relevant YouTube videos were identified. They were uploaded by 7 types of stakeholders, and the most common format was one person talking to the camera. A total of 87.0% (141/162) of the videos were originally created by the uploaders and only 8.0% (13/162) of the videos disclosed uploader personal experiences with suicide. The uploader profiles being popular or top YouTubers and the video containing disclosure of the uploader’s personal experiences were found to be significantly correlated with greater impacts (P<.001). Focusing on the 7 most impactful original videos, it is found that those videos generated more engagement, especially more interactions between the viewers, and more insights than regular videos uploaded by the same YouTubers. Conclusions When responding to a youth suicide crisis, videos made by key opinion leaders on YouTube sharing their own experiences of overcoming suicide risks could generate significant positive impacts. These types of videos offer a precious opportunity to craft online campaigns and activities to raise suicide prevention awareness and engage vulnerable youth.
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Papadamou, Kostantinos, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Michael Sirivianos. ""How over is it?" Understanding the Incel Community on YouTube." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–25. http://dx.doi.org/10.1145/3479556.
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YouTube is by far the largest host of user-generated video content worldwide. Alas, the platform has also come under fire for hosting inappropriate, toxic, and hateful content. One community that has often been linked to sharing and publishing hateful and misogynistic content are the Involuntary Celibates (Incels), a loosely defined movement ostensibly focusing on men's issues. In this paper, we set out to analyze the Incel community on YouTube by focusing on this community's evolution over the last decade and understanding whether YouTube's recommendation algorithm steers users towards Incel-related videos. We collect videos shared on Incel communities within Reddit and perform a data-driven characterization of the content posted on YouTube. Among other things, we find that the Incel community on YouTube is getting traction and that, during the last decade, the number of Incel-related videos and comments rose substantially. We also find that users have a 6.3% chance of being suggested an Incel-related video by YouTube's recommendation algorithm within five hops when starting from a non Incel-related video. Overall, our findings paint an alarming picture of online radicalization: not only Incel activity is increasing over time, but platforms may also play an active role in steering users towards such extreme content.
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Khomsah, Siti, and Agus Sasmito Aribowo. "Text-Preprocessing Model Youtube Comments in Indonesian." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 4 (August 20, 2020): 648–54. http://dx.doi.org/10.29207/resti.v4i4.2035.
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YouTube is the most widely used in Indonesia, and it’s reaching 88% of internet users in Indonesia. YouTube’s comments in Indonesian languages produced by users has increased massively, and we can use those datasets to elaborate on the polarization of public opinion on government policies. The main challenge in opinion analysis is preprocessing, especially normalize noise like stop words and slang words. This research aims to contrive several preprocessing model for processing the YouTube commentary dataset, then seeing the effect for the accuracy of the sentiment analysis. The types of preprocessing used include Indonesian text processing standards, deleting stop words and subjects or objects, and changing slang according to the Indonesian Dictionary (KBBI). Four preprocessing scenarios are designed to see the impact of each type of preprocessing toward the accuracy of the model. The investigation uses two features, unigram and combination of unigram-bigram. Count-Vectorizer and TF-IDF-Vectorizer are used to extract valuable features. The experimentation shows the use of unigram better than a combination of unigram and bigram features. The transformation of the slang word to standart word raises the accuracy of the model. Removing the stop words also contributes to increasing accuracy. In conclusion, the combination of preprocessing, which consists of standard preprocessing, stop-words removal, converting of Indonesian slang to common word based on Indonesian Dictionary (KBBI), raises accuracy to almost 3.5% on unigram feature.
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Farida, Indri Nur, I. Ketut Darma Laksana, and I. Gusti Ngurah Ketut Putrayasa. "Disfemia dalam Kolom Komentar Akun Youtube Najwa Shihab." Stilistika : Journal of Indonesian Language and Literature 1, no. 2 (April 15, 2022): 12. http://dx.doi.org/10.24843/stil.2022.v01.i02.p02.
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This article examines the use of dysphemia in the comments column of Najwa Shihab's youtube account "Reformation Test". The comment column is a virtual interaction space for netizens. Every netizen can comment in the public space freely. Freedom to comment in the next section leads to the use of dysphemia. Dysphemia is an effort to replace words that mean smooth or ordinary with words that mean rude. There are two problem formulations in this article. 1) what is the form of dysphemia in the comment column of Najwa Shihab's youtube account "Reformation Test" 2) what are the characteristics of hate speech in the column Comments on Najwa Shihab's youtube account "Reformation Test" in terms of the use of dysphemia. The theory used is semantic theory, especially dysphemia. Data collection is carried out by the listening method, free to engage in conversation. Data analysis is carried out using the agih method with the determining element sorting technique (PUP). Presentation analysis results are presented informally and formally. The results of the 70 data showed that the use of dysphemia was dominated by the word form with 36 data. Dysphemia in the form of 26 data phrases, then 2 data in the form of clause dysphemia. The last 6 data form of sentence dysphemia. The existence of this form of dysphemia is intended to sharpen and strengthen the meaning in the commentary aspect. The characteristics of hate speech in the comments column of Najwa Shihab's youtube account "Reformation Test" in terms of the use of dysphemia are divided into four characteristics, namely insults, defamation, provocation, and unpleasant actions.
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Agatha, Angella, Sinta Paramita, and Sudarto. "Opini Publik Netizen terhadap Pencemaran Nama Baik di Media Online." Koneksi 6, no. 2 (November 2, 2022): 278–86. http://dx.doi.org/10.24912/kn.v6i2.15670.
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This study discusses netizen public opinion on the issue of defamation that occurs in online media with a case study on the issue of defamation of Kartika Putri by dr. Richard Lee circulated in the public through the YouTube video content of each channel. From this case, a public discussion in the comments column with various opinions arose, this is what will be analyzed. The research focuses on knowing the responses of netizens, seeing different opinions on netizens, as well as knowing the process of forming netizens' opinions in seeing the phenomenon of the case. Because of these things, this phenomenon is interesting to study, plus the fact that the case involves Kartika Putri who is a public figure with dr. Richard Lee, who is a beauty specialist with a MARS, AAAM degree and is a beauty YouTuber as well. Based on this phenomenon, this research was conducted using the theory of public opinion and continued with the spiral of silence theory. In the process applying a qualitative approach using case study methods and supported by content analysis. To get the results of the study, an analysis was carried out on the object of research, namely the YouTube video content of Kartika Putri and dr. Richard Lee who became the beginning of the emergence of the phenomenon. The research subjects are the top thirty comments from Kartika Putri's youtube video comments and the top thirty comments from dr. Richard Lee, the data is primary data, then secondary data is obtained through data from the youtube video. From the research process, the results obtained include, among others, netizen responses through comments can become public opinion based on the average opinion of netizens on the phenomenon, netizens respond by assessing the characteristics in various forms of expression and support for both parties, then this phenomenon is analyzed based on its sentiments, has elements of public opinion based on differences in views that tend to be pro dr. Richard Lee and contra on Kartika Putri, then these groups were specified to be the majority group for the supporters of dr. Richard Lee and the minority group of Kartika Putri supporters. Penelitian ini membahas bagaimana opini publik netizen terhadap isu pencemaran nama baik yang terjadi di media online dengan studi kasus isu pencemaran nama baik Kartika Putri oleh dr. Richard Lee yang beredar di publik melalui konten video YouTube dari masing-masing kanal. Dari adanya kasus tersebut timbulah diskusi publik pada kolom komentar dengan berbagai pendapat, hal inilah yang akan dianalisis. Penelitian berfokus untuk mengetahui tanggapan dari netizen, melihat pendapat yang berbeda pada netizen, juga untuk mengetahui proses pembentukan opini netizen dalam melihat fenomena dari kasus tersebut. Oleh hal – hal tersebut fenomena ini menarik untuk diteliti, ditambah lagi fakta bahwa kasus tersebut melibatkan Kartika Putri yang merupakan seorang public figure dengan dr. Richard Lee yang merupakan seorang dokter spesialis kecantikan dengan gelar MARS, AAAM dan merupakan seorang youtuber kecantikan pula. Berdasarkan fenomena tersebut, penelitian ini dilakukan dengan teori opini publik dan dilanjutkan dengan teori spiral of silence. Dalam prosesnya menerapkan pendekatan secara kualitatif dengan menggunakan metode studi kasus dan didukung analisis isi. Untuk mendapatkan hasil penelitian, dilakukan analisis pada objek penelitian yaitu konten video YouTube Kartika Putri dan dr. Richard Lee yang menjadi awal mula munculnya fenomena. Subjek penelitiannya merupakan tiga puluh komentar teratas (top comment) dari komentar video youtube Kartika Putri dan tiga puluh top komentar dari komentar video youtube dr. Richard Lee, data tersebut merupakan data primer, kemudian untuk data sekunder didapat melalui data dari video youtube tersebut. Dari proses penelitian, tanggapan netizen melalui komentar dapat menjadi opini publik berdasarkan rata - rata pendapat netizen terhadap fenomena, netizen bertanggapan dengan menilai karakteristik dalam berbagai bentuk ekspresi dan dukungan terhadap kedua pihak. Fenomena ini dianalisis berdasarkan sentimennya, memiliki unsur opini publik berdasarkan perbedaan pandangan yang cenderung pro dr. Richard Lee dan kontra pada Kartika Putri, selanjutnya kelompok - kelompok tersebut terspesifikasi menjadi kelompok mayoritas pada pendukung dr. Richard Lee dan kelompok minoritas pada pendukung Kartika Putri.
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Heggestad, Jon. "Paranoid viewers and the ‘already knowing’ of YouTube’s coming out genre." Queer Studies in Media & Popular Culture 6, no. 2 (June 1, 2021): 105–22. http://dx.doi.org/10.1386/qsmpc_00048_1.
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While viewing LGBTQ+ coming out narratives within speech act theory is certainly nothing new, social media platforms (and YouTube, specifically) have created new opportunities for enacting these performances. Drawing on Eve Kosofsky Sedgwick’s method of paranoid reading, this article highlights the relationship between LGBTQ+ YouTubers, the coming out narratives they produce and their viewers’ engagement. After looking to YouTube as a platform frequently employed for sharing this genre of performative rhetoric, this article analyses individual video uploads alongside the viewer comments they have garnered to illustrate the paranoid phenomenon of ‘already knowing’ ‐ i.e., viewers’ refusal to be surprised by acts of coming out. While this paranoid approach is complicated through reparative readings and a breakdown of the paranoid/reparative binary, recent offerings of coming out videos uploaded to YouTube also suggest diverging trajectories for the genre’s future.
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Chansanam, Wirapong, Kulthida Tuamsuk, Kanyarat Kwiecien, and Sam Oh. "Korean popular culture analytics in social media streaming: evidence from YouTube channels in Thailand." International Journal of Advances in Intelligent Informatics 7, no. 3 (November 30, 2021): 329. http://dx.doi.org/10.26555/ijain.v7i3.769.
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This research aimed to study and analyze the influence and impact of Korean popular culture (K-pop) on Thai society. In this study, we used Social Network Analysis (SNA) to analyze streaming data obtained from a variety of YouTube channels belonging to YouTubers across the world, text analytics to analyze demographic characteristics, YouTuber's presentation techniques, as well as subscriber behavior, and multiple correlations analysis to analyze the relationship between factors affecting YouTube Channels in Thailand. The findings revealed that five Thai YouTube Channels were influencing Thai society. Furthermore, there were robust positive correlations between the number of dislikes and the number of comments (0.79), and the number of likes and comments (0.65). Additionally, there was a positive correlation between the number of views and the number of dislikes and one between the number of likes and dislikes. Future research can supplement the present findings with other social media sources to yield an even more diverse and comprehensive analysis. These analytics can be applied to various situations, including corporate marketing strategies, political campaigns, or disease/symptom analysis in medicine. This research extends to social computing by revealing intelligent trends in social networks.
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Amarasekara, Inoka, and Will J. Grant. "Exploring the YouTube science communication gender gap: A sentiment analysis." Public Understanding of Science 28, no. 1 (July 5, 2018): 68–84. http://dx.doi.org/10.1177/0963662518786654.
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YouTube has become the second most popular web search engine (see Alexa.com ) and the primary website for individuals and organisations to freely distribute video content. Popularity statistics indicate that Science, Technology, Engineering and Mathematics–related content is of significant interest to YouTube audiences, yet analysis of the 391 most popular science, engineering and mathematics–themed channels reveals a conspicuous absence of female communicators, with the hosts of just 32 of these channels presenting as female. To help understand potential causes of this gap, analysis was conducted on popularity indicators and audience sentiments of 450 videos from 90 Science, Technology, Engineering and Mathematics–related channels. Female hosted channels were found to accumulate more comments per view, and significantly higher proportions of appearance, hostile, critical/negative and sexist/sexual commentary.
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Christin, Angèle, and Rebecca Lewis. "The Drama of Metrics: Status, Spectacle, and Resistance Among YouTube Drama Creators." Social Media + Society 7, no. 1 (January 2021): 205630512199966. http://dx.doi.org/10.1177/2056305121999660.
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How does it feel to have one’s online worth and status be based almost exclusively on metrics? We examine this question through a qualitative study of YouTube “drama” channels. Drama creators cover the conflicts and scandals taking place among top YouTube celebrities. As producers of meta-commentary, they often rely on metrics as indicators of influence and celebrity on YouTube, thus constituting a relevant site to examine the connection between social media metrics and status. Based on interviews with English-speaking drama creators, we report three main findings. First, creators have a double orientation toward YouTube, which they understand as a site of both economic opportunities and tight-knit relationships. Second, the meanings that creators attach to metrics—their own and the ones of top YouTubers—reflect this double orientation: for them, metrics correlate with economic revenue and social status. Due to this central and multifaceted role of metrics, we find that traffic numbers can turn into a spectacle of their own for drama creators. Third, even in a context in which metrics are central, we identify several distancing strategies on the part of creators. We conclude by discussing whether—and why—resistance to metrics can be found everywhere.
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Wenty Agustin, M. Nur Mustafa, and Elvrin Septyanti. "Kesalahan Berbahasa Tataran Sintaksis Bidang Kalimat pada Komentar Youtube Najwa Shihab Melawan Corona." GERAM 9, no. 2 (December 21, 2021): 108–16. http://dx.doi.org/10.25299/geram.2021.vol9(2).6892.
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This study aims to identify and describe the form of language errors at the syntactic level in the sentence field in the Youtube commentary of Najwa Shihab Melawan Corona. This type of research is qualitative or can be interpreted as research that emphasizes the quality of data collected using descriptive methods. Sources of data in this study are comments written by YouTube users on the Najwa Shihab Melawan Corona broadcast. The data in this study are writings that represent the opinions of Youtube users regarding related videos. The data collection techniques used in this study were reading and note-taking techniques. The data analysis technique used in this study was data reduction, data presentation, and conclusion drawing. The results of this study found language errors in the sentence field in the form of non-subjected sentences, non-predicated sentences, lucky sentences, duplication of subjects, illogical sentences, ambiguity sentences, conjunction omissions, Excessive use of conjunctions, unparalleled sequences, use of foreign terms and use of unnecessary question words.
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Lee, Chei Sian, Hamzah Osop, Dion Hoe-Lian Goh, and Gani Kelni. "Making sense of comments on YouTube educational videos: a self-directed learning perspective." Online Information Review 41, no. 5 (September 11, 2017): 611–25. http://dx.doi.org/10.1108/oir-09-2016-0274.
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Purpose Through the lens of self-directed theory, the purpose of this paper is to investigate if social technologies such as YouTube will be viable to disseminate educational instructions and in the process empowering learners to take charge of their learning. Design/methodology/approach A total of 150 educational videos on YouTube were selected and 29,386 comments extracted using the authors’ customized extraction software application. Sentiment and qualitative content analyses were performed. Findings Results indicate that YouTube can play important roles in facilitating online self-directed learning (SDL) as the findings uncovered a variety of learning and social affordances of YouTube. However, caution should be exercised as high views and well-commented videos might not imply quality and credibility. This study concludes that YouTube generally provides a conducive a learning environment that affords learners the resources to meet their SDL objectives. Research limitations/implications To the best of knowledge, this is the first study that investigates SDL in social media by combining both qualitative content and sentiment analyses. The study shows that such a hybrid approach of combining two diverse analytical techniques provides an innovative means to make sense of comments expressed in social media. Practical implications The results will help educational institutions and policy-makers to craft better programs for public education and create policies to help self-directed learners in evaluating online video resources. Originality/value Despite a wealth of literature on the use of technologies to support learning, the majority of work done to date has dealt in the classroom context. Studies on SDL using educational content on YouTube are limited. Hence, this research contributes by providing insights on how educational institutions can move toward the direction of building collaborative digital learning platforms with relevant educational instruction and resources to enable users to participate in lifelong self-learning and education.