Journal articles on the topic 'Youtube Users'
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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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Tsao, Wen-Yu. "Understanding Users’ Preference to Engage in YouTubers." International Journal of Human Resource Studies 9, no. 1 (February 17, 2019): 277. http://dx.doi.org/10.5296/ijhrs.v9i1.14357.
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The YouTubers are the new vocations to make money. People like to access the videos to relax or learn from the special YouTuber. Despite the growth and commercial potential of virtual worlds, relatively little is known about what users’ motivations to favor specific YouTubers. This paper offered and empirically tested a conceptual model to fill this gap. Given the system characteristics (mobility, reachability, compatibility, convenience) and YouTuber specific characteristics (escapism and post popularity) integrated extrinsic and intrinsic motivation as their preference determinants. Using PROCESS on a survey of 349 users of YouTube. The results confirmed the role of extrinsic and intrinsic motivation as preference determinants and showed the two system and two YouTuber specific characteristics as motivational basis. Implications for research and practice are discussed.
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Widjaja, Kevin, and Raymond Sunardi Oetama. "K-Means Clustering Video Trending di Youtube Amerika Serikat." Ultima InfoSys : Jurnal Ilmu Sistem Informasi 11, no. 2 (December 28, 2020): 78–84. http://dx.doi.org/10.31937/si.v11i2.1508.
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Youtube is the most popular video platform in the world today. Successful YouTubers can create videos that are widely viewed by many Youtube users around the world. A lot of viral videos on Youtube came from the United States. But, making viral videos on Youtube is a tough challenge, both for seasoned YouTubers and especially for new YouTubers. This research focuses on discovering the properties of these viral videos by clustering them into distinct clusters. K-Means algorithm is used for the clustering process. The purpose of this clustering process is to look for patterns in the data that were previously unseen. The result shows that the videos are divided into three clusters which are built from 3 variables; views, likes and dislikes. The patterns and insights found in this study can be useful for aspiring video makers who want to achieve success as a Youtuber.
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Buf, Diana-Maria, and Oana Ștefăniță. "Uses and Gratifications of YouTube: A Comparative Analysis of Users and Content Creators." Romanian Journal of Communication and Public Relations 22, no. 2 (July 1, 2020): 75. http://dx.doi.org/10.21018/rjcpr.2020.2.301.
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Drawing on the classic media theory of uses and gratifications, this paper comparatively analyzes the uses of YouTube and the rewards obtained by consumers and content of this video sharing platform. The aim of this research is two-fold: 1. to identify the main uses and gratifications that determine consumers and content creators to use YouTube, and 2) to examine the reasons behind the decision to become a content creator on YouTube. Based on a qualitative research method, the paper highlights how YouTube is used from the perspective of consumers and content creators and the types of needs it gratifies. The research consists of 20 in-depth interviews with YouTube consumers and content creators from Romania. While for content consumers YouTube is mainly a means of relaxation and information, for content creators this platform becomes a source of recognition and social validation. The study also indicates that vlogging can provide job-specific gratifications. Moreover, the research reveals essential aspects behind the decision to become a content creator.
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O’Callaghan, Derek, Derek Greene, Maura Conway, Joe Carthy, and Pádraig Cunningham. "Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems." Social Science Computer Review 33, no. 4 (October 16, 2014): 459–78. http://dx.doi.org/10.1177/0894439314555329.
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In addition to hosting user-generated video content, YouTube provides recommendation services, where sets of related and recommended videos are presented to users, based on factors such as co-visitation count and prior viewing history. This article is specifically concerned with extreme right (ER) video content, portions of which contravene hate laws and are thus illegal in certain countries, which are recommended by YouTube to some users. We develop a categorization of this content based on various schema found in a selection of academic literature on the ER, which is then used to demonstrate the political articulations of YouTube’s recommender system, particularly the narrowing of the range of content to which users are exposed and the potential impacts of this. For this purpose, we use two data sets of English and German language ER YouTube channels, along with channels suggested by YouTube’s related video service. A process is observable whereby users accessing an ER YouTube video are likely to be recommended further ER content, leading to immersion in an ideological bubble in just a few short clicks. The evidence presented in this article supports a shift of the almost exclusive focus on users as content creators and protagonists in extremist cyberspaces to also consider online platform providers as important actors in these same spaces.
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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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Wattenhofer, Mirjam, Roger Wattenhofer, and Zack Zhu. "The YouTube Social Network." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (August 3, 2021): 354–61. http://dx.doi.org/10.1609/icwsm.v6i1.14243.
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Today, YouTube is the largest user-driven video content provider in the world; it has become a major platform for disseminating multimedia information. A major contribution to its success comes from the user-to-user social experience that differentiates it from traditional content broadcasters. This work examines the social network aspect of YouTube by measuring the full-scale YouTube subscription graph, comment graph, and video content corpus. We find YouTube to deviate significantly from network characteristics that mark traditional online social networks, such as homophily, reciprocative linking, and assortativity. However, comparing to reported characteristics of another content-driven online social network, Twitter, YouTube is remarkably similar. Examining the social and content facets of user popularity, we find a stronger correlation between a user's social popularity and his/her most popular content as opposed to typical content popularity. Finally, we demonstrate an application of our measurements for classifying YouTube Partners, who are selected users that share YouTube's advertisement revenue. Results are motivating despite the highly imbalanced nature of the classification problem.
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Khan, Rafaqat Alam. "Spammer Detection: A Study of Spam Filter Commentson YouTube Videos." International Journal for Electronic Crime Investigation 2, no. 4 (December 7, 2018): 5. http://dx.doi.org/10.54692/ijeci.2018.020425.
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This paper presents a methodology to find out the spam comments on YouTube videos. The purpose of this research is to find out the comments of those spam users, who comment for their own promotional intentions or to detect users whose comments that have no relevancy with the given video.The monetization policy introduced by YouTube for its user's channel and advertisement of different ads on YouTube videos has attracted a large number of users. This increase in a large number of users has also lead to an increase in malicious users whose job is to create automated bots for commenting and subscription to different YouTube channels. These malicious users'comments hurt the channel publicity and also affect the normal user's experience. YouTube is also working on this issue by using different methods to limit these kinds of automated bots malicious comments by blocking those comments. These kinds of methods are ineffective so far as spammers have found out different methods to bypass those heuristic approaches. Different machine learning approaches provide somehow better classification accuracy with the introduction of new approaches to solve it better than that. In this work, different techniques used for classification of spam comments with those of normal user comments to improve the classification and recent trend going on in this area are briefly analyzed to tackle this major issue.
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Khan, Rafaqat Alam. "Spammer Detection: A Study of Spam Filter Commentson YouTube Videos." International Journal for Electronic Crime Investigation 2, no. 4 (December 7, 2018): 5. http://dx.doi.org/10.54692/ijeci.2019.030125.
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This paper presents a methodology to find out the spam comments on YouTube videos. The purpose of this research is to find out the comments of those spam users, who comment for their own promotional intentions or to detect users whose comments that have no relevancy with the given video.The monetization policy introduced by YouTube for its user's channel and advertisement of different ads on YouTube videos has attracted a large number of users. This increase in a large number of users has also lead to an increase in malicious users whose job is to create automated bots for commenting and subscription to different YouTube channels. These malicious users'comments hurt the channel publicity and also affect the normal user's experience. YouTube is also working on this issue by using different methods to limit these kinds of automated bots malicious comments by blocking those comments. These kinds of methods are ineffective so far as spammers have found out different methods to bypass those heuristic approaches. Different machine learning approaches provide somehow better classification accuracy with the introduction of new approaches to solve it better than that. In this work, different techniques used for classification of spam comments with those of normal user comments to improve the classification and recent trend going on in this area are briefly analyzed to tackle this major issue.
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Wijayanto, Xenia Angelica, and Lestari Nurhajati. "Copyright issue on music back sound usage by Indonesian YouTuber." Journal of Social Studies (JSS) 16, no. 2 (September 24, 2020): 137–56. http://dx.doi.org/10.21831/jss.v16i2.31055.
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According to We Are Social research in January 2018, Indonesia's population now is 265,4 million, while its social media active users reached 130 million. 43% of people are using Youtube as their primary social media. This situation shows us that Youtube is still the most used and liked social media channel, followed closely by Facebook and Whatsapp. The vlogger phenomenon is also getting stronger among Indonesian young people. The increasing number of Youtube content production ranged from artists, public figures, and ordinary people, also known as Youtuber. One of the famous Youtuber is Raditya Dika, whose subscriber reached more than 3.3 million, and estimated income per year around USD 46 thousand to USD 739 thousand. The problem that arises is about the copyright violation in background music used by Indonesian Youtuber. This research tries to dig further data about the youtube policy in protecting the copyright issue in that area. This research uses a discourse analysis method on 15 videos from the top 5 Youtuber in Indonesia as the unit of analysis. The result shows that some Youtuber still violate the copyright issue while using background music on their Youtube materials production.
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Bessi, Alessandro, Fabiana Zollo, Michela Del Vicario, Michelangelo Puliga, Antonio Scala, Guido Caldarelli, Brian Uzzi, and Walter Quattrociocchi. "Users Polarization on Facebook and Youtube." PLOS ONE 11, no. 8 (August 23, 2016): e0159641. http://dx.doi.org/10.1371/journal.pone.0159641.
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Klobas, Jane E., Tanya J. McGill, Sedigheh Moghavvemi, and Tanuosha Paramanathan. "Problematic and extensive YouTube use: first hand reports." Online Information Review 43, no. 2 (April 8, 2019): 265–82. http://dx.doi.org/10.1108/oir-01-2018-0032.
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Purpose The purpose of this paper is to present brief YouTube life stories to learn about how extensive users experience YouTube use and manage (or fail to manage) their use. It also explores the consequences of different types of extensive use. Design/methodology/approach In this paper, a biographical approach was used. Nine students who used YouTube for two or more hours every day were guided to tell life stories of their introduction to YouTube, subsequent use and critical events associated with YouTube use. Thematic analysis distinguished between non-problematic, compulsive and addicted users. Three single case life stories illustrate the experiences of users in each category. Findings These extensive YouTube users tell similar stories of informal learning from early interaction with the platform. For some, extensive YouTube use became problematic; for others, it remained functional. Similar to other social platforms, users unable to regulate use became compulsive users and some users can become addicted. While the symptoms of YouTube addiction are similar to other online addictions, compulsive YouTube use is driven more by algorithm-generated content chaining than overt social interaction. Originality/value The paper introduces life stories as a way to present case studies of social media use. The distinction between extensive, but functional, and problematic YouTube use illustrates how extensive social media use is not necessarily dysfunctional. User education for self-regulation of YouTube use is recommended.
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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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Ayuningtyas, Fitria, and Ahmad Zakki Abdullah. "Kognisi Sosial Melalui Situs Jejaring Youtube Pada Komunitas Online (Studi Kasus pada Komunitas Online LinkPictureID)." Jurnal Komunikasi 9, no. 2 (January 16, 2018): 137. http://dx.doi.org/10.24912/jk.v9i2.1076.
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The Video portal known as Youtube has become one of the alternative broadcasting channels. As the Internet usage is increasing the use of visual form becomes a public space. A YouTuber, a popular slang for video producer on youtube has formed a style of its own, in which there are some interesting research studies, especially in the establishment of reality and social cognition. Videos that teached the perspective and expression of opinion is an example of how the youtuber shapes reality to the audience. This video was varied, ranging from animation, social experiment up to the high-level animation. Social cognition is becoming prominance, that the audience use video logic as a basis for understanding the various things in surrounding environment. However, the capacity and the youtuber background are very wide - range as they have no common standard to their profession as videographer. The aim of this study is an effort to observe how Youtube users see the social situation as a cognitive ability form the use of video. This study used theory about social cognition, social media and youtube. This study used qualitative method. The result of this study is an interaction between users and creators create a whole different kind of dialogue, given in this era of communication technology they are none other than Prosumen (producer-consumer). The rapid reproduction of this message is very dynamic, especially responding to social circumstances. This study focuses on an active online community focusing on the interaction CMC via youtube video portals as the establishment of social cognition.The conclusion this study was social cognition thru youtube give us new perspective that we can get creative as well as possible to be able to work freely. In this study, the community used youtube as reference and benchmark. In this case, LinkPicture ID community well understand about “upgrade” concept that required to speed up in taking a decision based on the dynamics that happened. Portal video Youtube telah menjadi salah satu saluran penyiaran alternatif. Penggunaan internet yang semakin meningkat membentuk sebuah ruang penggunaan visual yang bebas. Youtuber, sebutan untuk para produsen video di youtube telah membentuk sebuah nuansa tersendiri, didalamnya terdapat beberapa kajian kajian menarik terutama di pembentukan realita dan kognisi sosial. Video-video yang mengajarkan cara pandang dan pengungkapan opini maupun pendapat adalah contoh bagaimana para youtuber membentuk realita terhadap penontonnya. Kognisi sosial dalam pandangan ini sangatlah penting mengingat bahwa para penonton menggunakan logika video tersebut sebagai dasar dalam memahami berbagai hal disekitar lingkungannya. Namun demikian kapasitas maupun latar belakang para youtuber ini sangat bermacam–macam mengingat mereka tidak memiliki standard umum terhadap profesi mereka sebagai videografis. Tujuan penelitian ini untuk melihat bagaimana pengguna youtube melihat keadaan sosial sebagai kemampuan koginitif. Teori yang digunakan dalam penelitian ini yaitu kognisi sosial, situs jaringan sosial, dan youtube. Penelitian ini menggunakan metode penelitian kualitatif. Adapun hasil dari penelitian ini adalah interaksi antar pengguna dan pembuat video merupakan interaksi yang sangat berbeda, mengingat di era teknologi komunikasi ini mereka tidak lain dari produsen-konsumen. Pesatnya reproduksi pesan ini sangatlah dinamis terutama menanggapi keadaan sosial. Penelitian ini memfokuskan diri pada sebuah komunitas online yang aktif dan mengutamakan interaksi CMC lewat portal video youtube sebagai pembentukan kognisi sosial. Kesimpulan kognisi sosial melalui youtube memberikan pandangan bahwa kita bisa berkreasi sebaik mungkin untuk bisa berkarya secara bebas. Adapun penggunaan youtube sebagai sebagai referensi dan pembanding. Dalam hal ini, komunitas LinkPictureID paham dengan konsep “upgrade” dimana diperlukan sebuah kecepatan dalam mengambil keputusan berdasarkan dinamika yang terjadi.
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Tan, Min, and Seong-Joon Limb. "A Study on the Determinants of YouTube Music User Satisfaction and Continuous Use Intention - Focusing on YouTube Premium Subscribers -." Korea Association Of Cultural Economics 25, no. 3 (December 31, 2022): 135–68. http://dx.doi.org/10.36234/kace.2022.25.3.135.
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In this study, the user’s selection factors (UGC service, content sufficiency, content diversity, pricing plan, personalization, system quality) were derived for the music streaming service ‘YouTube Music’, and their effect on satisfaction and continuous use intention was empirically investigated. To this end, a survey was conducted on 314 YouTube Premium subscribers who mainly listen to music through YouTube Music. As a result of the analysis, among the selection factors, only personalization, system quality, content sufficiency, and pricing plan had significant positive effects on the satisfaction and continued use intention of YouTube Music users, but UGC service and content diversity did not. The implications of YouTube Music and other domestic music streaming providers according to the study results were discussed.
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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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Arisuwito, Natan Dwipangga, and Hutomo Setia Budi. "PEMBUATAN KARAKTER VIRTUAL SEBAGAI PEMANDU DALAM KONTEN VIDEO TUTORIAL MENGGAMBAR." Jurnal VICIDI 10, no. 2 (December 31, 2020): 20–30. http://dx.doi.org/10.37715/vicidi.v10i2.1927.
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Drawing tutorial become a necessity for people who learn to draw. Drawing tutorial videos can be accessed via YouTube. On the other hand, virtual youtuber become a global trend including in Indonesia where dozens of virtual youtuber channels are popping up. Through this study, researcher designed virtual character which will guide the audiences through drawing tutorial videos on a YouTube channel. The purposes of this study are to find out how to design a virtual character and drawing tutorial which will attract the audiences and to take viewers response to the virtual characters as a guide for drawing tutorial. The research methods used in this study are qualitative and quantitative method. The approaches is carried out by spreading questionnaires, interviewing expert and extreme users and observing competitor.
Keyword : virtual youtuber, virtual character, drawing tutorial
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Purwatiningsih, Sri Desti. "Communication ethics in distribution of information through Youtube social media (Case of teacher sexual harassment on Santriwati)." Technium Social Sciences Journal 28 (February 9, 2022): 319–29. http://dx.doi.org/10.47577/tssj.v28i1.5869.
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In social life, YouTube as a social media is often used to spread messages and information quickly on a large scale to its users at a relatively low cost. The purpose of this study is to identify and describe communication ethics in the use of youtube social media as a means of information media for youtube users through a geographic method approach, which is a method used to understand the culture of social media users as a safe space for youtube social media users in sharing information. Netnography is a method for investigating social media users' behavior (culture) or habits. This research is only focused on communication ethics in the use of YouTube social media as a medium for disseminating and fulfilling information for the community by raising a case about the harassment and rape of a religious teacher as well as the owner of a boarding school to his students to give birth to a baby. The problems studied were cases of harassment and rape against female students that occurred in several Islamic boarding schools that were carried out by the teacher/ustad himself.
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Lange, James E., Jason Daniel, Kestrel Homer, Mark B. Reed, and John D. Clapp. "Salvia divinorum: Effects and use among YouTube users." Drug and Alcohol Dependence 108, no. 1-2 (April 2010): 138–40. http://dx.doi.org/10.1016/j.drugalcdep.2009.11.010.
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Lee, Doyeon, Dong-yoon Kim, and hun Kim. "How do users perceive YouTube as a press? An exploratory study of the factors affecting users’ perceptions of YouTube journalism." Socail Science Review 53, no. 1 (May 31, 2022): 269–88. http://dx.doi.org/10.31502/ssri.53.1.11.
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Han, JeongHun. "Who Consumes Political News through YouTube?: An Application of the OMA Framework to YouTube Use in South Korea." Korea Observer - Institute of Korean Studies 53, no. 4 (November 30, 2022): 601–28. http://dx.doi.org/10.29152/koiks.2022.53.4.601.
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This study analyzes how individual motivations including political interest and media trust and cognitive abilities affect news consumption through YouTube in a high choice media environment of South Korea. In the empirical analysis, we use a nationally representative dataset differentiating respondents in tree types of users concerning YouTube - namely, non-users, non-news consumers, and news consumers. Applying a binary response model with sample selection, we resolve a potential selectin bias and prove that political interest is the strongest motivation leading individuals to consume news through YouTube. In addition, the positive impact of political interest is shown to increases as individuals trust less traditional news media. However, we do not find any evidence that news consumption through YouTube is biased toward a specific party or ideological orientation.
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Ni, Shuangdan. "Exploring the Preferences of US YouTube Users and Factors Related to YouTube Uploader’s Revenue." Studies in Social Science & Humanities 2, no. 1 (January 2023): 43–54. http://dx.doi.org/10.56397/sssh.2023.01.08.
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YouTube is a mainstream media that is popular with the general public. It has a powerful yet special force that attracts almost all young people who come into contact with it. YouTube permeates every aspect of people’s lives, education, daily life, work, leisure, and entertainment. Everyone can be a professional uploader. It is very important to know how to be a good uploader and what the important elements are related to generating revenue from YouTube. This article uses the top 1000 channels and the top 200 daily YouTube video’s data from September 2020 to January 2022 in the United States to analyze popular categories of channels, and use the YouTube videos and their related data from September 2020 to January 2022 from Ken Jee to analyze uploader characteristics. The dataset of this article is based on YouTube API and the uploader’s release. CRISP-DM method is applicated to exploring the data in Jupyter using Python. In addition, Pearson correlation analysis is used to analyze revenue-related metrics. This paper contains both qualitative and quantitative analyses. In this paper, we found that among the top 1000 most popular uploaders, Entertainment, and Music types are the most popular, with 241 and 222 respectively. The Autos & Vehicles and Travel & Events categories are the least represented, with only 1 on the list. This article also finds out Entertainment, Music, People & Blogs and Gaming type of videos users are most attracted to, the core audience, and their interests. Have strong positive relation with revenue. In addition, watch time (hours), subscribers lost, likes, shares, and dislikes are strongly positively correlated with revenues. Comments are moderately positively correlated with revenues. RPM and CPM almost have no correlation with revenue. This study offers a statistical analysis of the content genre based on a number of categories and details of YouTube users’ interests. This study also demonstrates the variables that might have an impact on YouTube uploaders’ revenue. So that uploaders, researchers, and investors can acquire a rough idea of the impact on YouTube.
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Nabila, Shifa, and Adrian Achyar. "ANALYSIS OF FACTORS AFFECTING USERS’ ATTITUDE TOWARD THE YOUTUBE ADS AND THEIR EFFECTS ON PURCHASE INTENTION." JURNAL MANAJEMEN DAN BISNIS SRIWIJAYA 17, no. 2 (April 27, 2020): 91–100. http://dx.doi.org/10.29259/jmbs.v17i1.8858.
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ABSTRACTResearch Purposes – This study aims to identify five factors in YouTube advertising (entertainment, informativeness, customization, irritation and credibility) which might effect on ad value, and attitude toward YouTube ads, leading to purchase intention of consumers.Methods – The study uses conceptual models where their hypothesis is that the ad value is positively correlated with respect to the attitude toward YouTube ads, which then affects consumer’s purchase intention.Result – This study found that entertainment, customization, and credibility is positively effected to advertising value on YouTube, where ad value has a positive effect on attitude toward YouTube ads and purchase intention of consumer.Research limitations – For this study, our respondents include 248 active YouTube users in Indonesia that will be used for data collection and analysis.Originality/value – In addition, this study found that irritation is negatively effected to advertising advertising value on YouTube, and informativeness has no effect on advertising value on YouTube.Keywords: Ad value, attitude toward YouTube ads, credibility, customization, entertainment, informativeness, irritation, purchase intention.
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Wu, Lee-Chun, Kuei-Lun Chang, Tung-Lin Chuang, You-Shyang Chen, and Jung-Fa Tsai. "Identification of Applicable YouTubers for Hotels: A Case Study of Integrated Hybrid MCDM Model." Sustainability 14, no. 18 (September 14, 2022): 11494. http://dx.doi.org/10.3390/su141811494.
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The coronavirus disease 2019 (COVID-19) pandemic has caused a serious business recession in various walks of life, particularly in the full-service hotel industry. YouTube has one billion active users and is undoubtedly a social media platform that companies use to build relationships with customers and create value for brands. Marketers should be aware of YouTubers’ significant influence on complex decision-making processes. Given the above reasons, identifying a YouTuber attracts the concerns of various industries; thus, this important issue is focused on and offered the study’s rationality. This study proposes an integrated hybrid MCDM model to organize the four key techniques of FDM, DEMATEL, ANP, and TOPSIS to identify YouTubers for hotels. Consequently, 12 key criteria and four core dimensions were identified to improve the decision of optimal YouTubers for promoting sustainable development and increasing the efficiency of decision-making. From the limited literature review, the proposed hybrid model was not observed regarding YouTuber identification of hotels; thus, this study provides a superior application contribution to address this important and interesting topic for academicians and practitioners.
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Alawadh, Husam M., Amerah Alabrah, Talha Meraj, and Hafiz Tayyab Rauf. "English Language Learning via YouTube: An NLP-Based Analysis of Users’ Comments." Computers 12, no. 2 (January 19, 2023): 24. http://dx.doi.org/10.3390/computers12020024.
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Online teaching and learning has been beneficial in facilitating learning of English as a foreign language (EFL). In online EFL learning, YouTube is one of the most utilized information and communication technology (ICT) tools because of its inherent features that make it a unique environment for learners and educators. Many interesting aspects of YouTube-based learning can be beneficial in supplementing conventional classroom methods, and, therefore, such aspects must be identified. Previous scholarly work aimed at improving YouTube learning environment was predominantly conducted manually by gathering learners’ impressions through interviews and questionnaires to analyze the differences between YouTube- and classroom-based EFL learning. However, such methods are tedious and time-consuming and can lead to results that are of less generalizable implications. User comments on YouTube channels are useful in identifying such aspects, as they present a wealth of information related to the quality of the content provided, challenges the targeted audience faces, and areas of potential improvement. Therefore, in our current study, YouTube API is used to collect the comments of three randomly selected and popular YouTube channels. Following a data cleaning process, people’s sentiments about EFL learning were first identified via a TextBlob method. Second, the automated latent semantic analysis (LSA) method of topic finding was used to collect global and open-ended topics of discussion on YouTube-based EFL learning. Users’ sentiments on the most popular topics of discussion are discussed in this paper. Further, based on the results, hypothetical findings on YouTube EFL learning are provided as recommendation for future content, including more variety of the content covered, introduction of the meanings and punctuation following words, the design of the course such that it addresses a multinational audience of any age, and targeted teaching of each variety of English, such as British and American. We also make suggestions for learners of English who wish to utilize online and offline learning, which include finding the course of interest first based on one’s needs which can be discussed with a tutor or any English teacher to optimize the learning experience, participating in fearless educator–learner interaction and engagement, and asking other EFL learners for their previous experiences with learning online in order for the learner to maximize benefit.
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Dutta, Hridoy Sankar, Nirav Diwan, and Tanmoy Chakraborty. "Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 147–58. http://dx.doi.org/10.1609/icwsm.v16i1.19280.
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Social reputation (e.g., likes, comments, shares, etc.) on YouTube is the primary tenet to popularize channels/videos. However, the organic way to improve social reputation is tedious, which often provokes content creators to seek services of online blackmarkets for rapidly inflating content reputation. Such blackmarkets act underneath a thriving collusive ecosystem comprising core users and compromised accounts (together known as collusive users). Core users form the backbone of blackmarkets; thus, spotting and suspending them may help in destabilizing the entire collusive network. Although a few studies focused on collusive user detection on Twitter, Facebook, and YouTube, none of them differentiate between core users and compromised accounts. We are the first to present a rigorous analysis of core users in YouTube blackmarkets. To this end, we collect a new dataset of collusive YouTube users. We study the core-periphery structure of the underlying collusive commenting network (CCN). We examine the topology of CCN to explore the behavioral dynamics of core and compromised users. We then introduce KORSE, a novel graph-based method to automatically detect core users based only on the topological structure of CCN. KORSE performs a weighted k-core decomposition using our proposed metric, called Weighted Internal Core Collusive Index (WICCI). However, KORSE is infeasible to adopt in practice as it requires complete interactions among collusive users to construct CCN. We, therefore, propose NURSE, a deep fusion framework that only leverages user timelines (without considering the underlying CCN) to detect core blackmarket users. Experimental results show that NURSE is quite close to KORSE in detecting core users and outperforms nine baselines.
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Trang, Nguyen Thi Thu, Le Thi Huong Ly, Do Thi Thanh Toan, Vu Nhat Mai, Nguyen Thi Huong Thao, Vu Thu Trang, Nguyen Thi Thao, et al. "Promotion of e-cigarettes by providers and users’ feedback in some social networks in Vietnam in 2019." Tạp chí Y học Dự phòng 31, no. 4 (June 18, 2021): 107–17. http://dx.doi.org/10.51403/0868-2836/2021/343.
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E-cigarettes (e-cigarettes) have been using social media as an informative platform to promote e-cigarettes for their users. The most popular social media in Vietnam were YouTube and Facebook. The information and knowledge could affect e-cigarette user’s belief and the way they make a decision. Despite this, there is a gap in our knowledge of policy maker’s in user’s perceptions about how they feel with promotion on social media platform in Vietnam. This study aimed to describe the promotion of e-cigarettes by providers on some social networks and to describe electronic cigarette users’ feedback about videos/posts of providers on some social networks in Vietnam in 2019. Searches in major electronic databases, including Facebook and YouTube, were conducted using the following search terms: “electronic cigarette,” “electronic vaporizer,” “electronic pod,”. The video/post was selected if they’re from providers and include advertising content on the social media platform during 2019. Of the 104 e-cigarette related videos/posts retrieved, there were 27% on Facebook and 28% on YouTube. The three most common advertising contents were beneft of using e-cigarette, negative health consequences and entertainment effects.
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Müller, Eggo. "‘Great Stuff!’." Many Lives of Europe’s Audiovisual Heritage 7, no. 13 (May 16, 2018): 19. http://dx.doi.org/10.18146/2213-0969.2018.jethc139.
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In 2014, British Pathé launched its YouTube channel with more than 85,000 items of audiovisual heritage from the 20th century. This article analyses the curational strategies of this channel as developed by the German multi-channel network Mediakraft in consideration of YouTube’s algorithms and supposed user expectations. This article argues that, in the context of YouTube’s commercial ecosystem, Mediakraft’s curation emphasizes celebrities, spectacular historical events, and curiosities to attract users online.
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Hadi S, Ika Brianti, Endang Pratiwi Kurniawan, and Irwansyah Irwansyah. "Pengungkapan Diri di Situs Media Sosial Youtube." JURNAL LENSA MUTIARA KOMUNIKASI 5, no. 1 (June 12, 2021): 42–51. http://dx.doi.org/10.51544/jlmk.v5i1.1526.
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Social media is a rapidly growing phenomenon, not only a growing phenomenon in Indonesia. This development is certainly accompanied by the enthusiasm of the community and the existence of social media as a place of self-expression which is increasingly popular and easier to utilize. One of the most popular social media is YouTube. Youtube is a platform where users can upload, watch and share videos. This easily accessible social media platform makes its users come from all ages. This phenomenon is an opportunity for YouTube content creators to make self-disclosure or self-use which is often personal. Self-disclosure plays an important role in life and in the daily life of an individual does not escape the activity of self-disclosure. Researchers want to see the extent to which youtube users use social media as a means of self-disclosure. This research was conducted based on previous studies with similar cases.
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Yudhiasta, Sheidy, and Leily Suci Rahmatin. "Netnographic Analysis of Youtube Users Comments on Conservation Threats." Jurnal Spektrum Komunikasi 10, no. 1 (April 1, 2022): 62–77. http://dx.doi.org/10.37826/spektrum.v10i1.276.
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Conservation and mining are considered as two contradictory aspects of an activity. Conservation activities will be lost if mining development does not match the area analysis. Ecosystems are threatened, and endemic species in an area will become extinct. Mining activities are often two sharp blades. On the one hand, it will increase the economy. However, on the other hand, the more significant damage will make it difficult for the ecosystem to return to its original condition. This is what is currently happening in the Sangihe Islands. Gold mining has become an issue in online discussions on the internet; objections and protests are conveyed to preserve the ecosystem of the region, not only from endemic animal and plant species but also from human existence. This research was conducted by exploring public comments, especially YouTube users in the comments column of the BBC News Indonesia YouTube video: Tambang Emas Pulau Sangihe Mengancam Hutan dan Burung Endemik yang Hampir Punah. A qualitative approach is used in this study with netnographic analysis to analyze netizen comments on BBC News Indonesia YouTube videos. Data retrieval using the botster.io website and analyzed using NVivo 12 software as a qualitative research management tool. The data obtained is 1.000 comments in the comments column. The analysis results show that the majority of internet residents in comments on YouTube videos uploaded by BBC News Indonesia gave a negative response to the Sangihe Island gold mine because it was considered a threat to the conservation and extinction of Sangihe's endemic species, namely the Sangihe Seriwang bird. People on the internet also respond that policy makers' participation in making regulations is important to cancel decisions related to the mining area.
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Rizkiansyah, Mariko, and Muslikhin. "Cyber conflict and Islam Ethics on the Ustadz Harassment cases in the YouTube Community." Asian Social Science and Humanities Research Journal (ASHREJ) 3, no. 2 (September 30, 2021): 45–56. http://dx.doi.org/10.37698/ashrej.v3i2.79.
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The number of Indonesia user YouTube Access increases significantly. The content of YouTube also diverse including Islam da'wah in many channels in YouTube both national and international. The comment fixture in YouTube not only simplify users to comment but also create a conflict between users including the Ustadz Abdul Somad Rejection broadcasting. This aim of the research is to figure out how the meaning of YouTube comment and how the application of comment Islam ethics according to Quran and Hadis in the Ustadz Abdul Somad cases on YouTube. This research also using cyber conflict and Quran verse and Hadis related to communication Islam ethics. The method of this research using Netnography where researcher focus to comment columns who indicated have a conflict between users. The data of this research is the comment columns on three video who indicated have an Ustadz Abdul Somad Rejection topic. The result of this research that Pro UAS trying to mobilize opinion to drive out Banser while anti-UAS framing UAS as a radicalism orator and involve in prohibit organization. Both pro-UAS and anti-UAS always mocking each other when creating a conflict. They also think this is the best way to win the debate.
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Mihai. "Romanian Users’ YouTube “Shakespeares”: Digital Localities in Global Fields." Humanities 8, no. 2 (April 24, 2019): 84. http://dx.doi.org/10.3390/h8020084.
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The cultural production of “Shakespeare” on the Internet has received growing attention in recent years, particularly in reference to newcomers in the field such as media users or “prosumers”. This is potentiated by the connectivity of digital platforms and growing access to digital means of production and distribution. From a field perspective on digital cultural production, participation online can be seen as a socially situated activity, often differentiated and marked by the habitus of digital media users. The present article aims firstly to discuss the utility of a field conceptualization of the cultural production of Shakespeare online, with reference to the work of Pierre Bourdieu. Secondly, through a critical framework derived from cultural and media economies, this article analyses Romanian appropriations of Shakespeare’s works on YouTube as cultural productions inscribed in both the global digital economy and also in the local cultural field. Thirdly, based on an overview of Romanian producers who have published Shakespeare videos and on the analysis of their visibility and circulation online, as well as their chosen genres and discourses, I argue that the Romanian digital (re)production of Shakespeare is situated at the periphery of both the national and the global digital field. User-made Shakespeare productions are yet to find valuation in the local cultural and media fields, being situated in an illegitimate location for appropriating Shakespeare. This will be contextualized in the larger discourse regarding the fundamental role of curation, but also in light of recent concerns about privileged locations, languages, and algorithmic bias across online cultural production, circulation, and consumption.
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Yoo, SoYeop, and OkRan Jeong. "The YouTube Video Recommendation Algorithm using Users' Social Category." Journal of KIISE 42, no. 5 (May 15, 2015): 664–70. http://dx.doi.org/10.5626/jok.2015.42.5.664.
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Schneider, Christopher J. "“I Wish I Could Grow a Full Beard”: The Amateur Pogonotropher on the Beardbrand YouTube Channel." Cultural Studies ↔ Critical Methodologies 20, no. 4 (November 25, 2018): 295–306. http://dx.doi.org/10.1177/1532708618809723.
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Pogonotrophy refers to beard cultivation including growth and grooming practices. This exploratory study contributes to the little understood role of beard culture on YouTube. Scholarship examining the relationship between social media platforms such as YouTube and beard culture is almost nonexistent. This gap in the research allows us to ask the following: What sorts of content do users circulate about beards on YouTube? And, how does this content contribute to how users interact and learn about beards? A total of 62,061 user-generated comments across 310 videos featured on the Beardbrand YouTube channel were collected and examined using qualitative media analysis. Three themes emerged from an analysis of these data: the yeard quest, the ideal type, and how to beard. The findings illustrate the important role that YouTube plays in fostering contemporary beard culture. Suggestions for future research are noted.
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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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Papadamou, Kostantinos, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Michael Sirivianos. "“It Is Just a Flu”: Assessing the Effect of Watch History on YouTube’s Pseudoscientific Video Recommendations." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 723–34. http://dx.doi.org/10.1609/icwsm.v16i1.19329.
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The role played by YouTube's recommendation algorithm in unwittingly promoting misinformation and conspiracy theories is not entirely understood. Yet, this can have dire real-world consequences, especially when pseudoscientific content is promoted to users at critical times, such as the COVID-19 pandemic. In this paper, we set out to characterize and detect pseudoscientific misinformation on YouTube. We collect 6.6K videos related to COVID-19, the Flat Earth theory, as well as the anti-vaccination and anti-mask movements. Using crowdsourcing, we annotate them as pseudoscience, legitimate science, or irrelevant and train a deep learning classifier to detect pseudoscientific videos with an accuracy of 0.79. We quantify user exposure to this content on various parts of the platform and how this exposure changes based on the user's watch history. We find that YouTube suggests more pseudoscientific content regarding traditional pseudoscientific topics (e.g., flat earth, anti-vaccination) than for emerging ones (like COVID-19). At the same time, these recommendations are more common on the search results page than on a user's homepage or in the recommendation section when actively watching videos. Finally, we shed light on how a user's watch history substantially affects the type of recommended videos.
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Pietrobruno, Sheenagh. "YouTube flow and the transmission of heritage: The interplay of users, content, and algorithms." Convergence: The International Journal of Research into New Media Technologies 24, no. 6 (December 7, 2016): 523–37. http://dx.doi.org/10.1177/1354856516680339.
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YouTube’s increasing convergence with television extends to the notion of flow. The platform’s revising and reshaping of television flow theorized by Raymond Williams ((1974) Television. London: Routledge.), which is produced through the combined work of users and algorithms, enables diverse cultural representations to come into contact. This diversity creates relational juxtapositions that become meaningful through human interpretation. The algorithms that are entrenched in YouTube’s business models and designed to monetize the work of users may also circulate divergent versions of a cultural practice. That YouTube flow can produce diverse cultural representations is demonstrated by a case study of the Mevlevi Sema ceremony, a Turkish intangible heritage practice safeguarded by UNESCO; official heritage narratives put forward by the nation-state of Turkey through UNESCO are challenged by other narratives on the platform.
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Fischer, Tasja-Selina, Castulus Kolo, and Cornelia Mothes. "Political Influencers on YouTube: Business Strategies and Content Characteristics." Media and Communication 10, no. 1 (February 24, 2022): 259–71. http://dx.doi.org/10.17645/mac.v10i1.4767.
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Young media users increasingly engage with public affairs via social media such as YouTube, where content is increasingly produced by influencers who neither represent established professional news media nor political parties. Although the audience of these channels is already substantial in absolute terms and still growing enormously—making alternative influencers serious competitors to professional journalism—we still know little about their ways of attracting and monetizing audiences, the topics they emphasize, or the specific content they provide. To address this void, the present study examines political videos and their producers on YouTube in an explorative and comparative way for English- and German-speaking YouTube channels. We conducted a content analysis of the five most popular YouTube videos for each of the 20 most successful English- and German-speaking political influencers in 2020. Our analyses show that, although English YouTubers already appear to be more professionalized, similar patterns emerge in both language regions, particularly with regards to increasing efforts to manage microcelebrity status. In terms of content, two main types of political YouTube videos were identified: “partisan mockery” and “engaging education.” Results will be discussed in terms of their implications for political discourse, youth participation, and established journalistic media.
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Ashraf, Noman, Abid Rafiq, Sabur Butt, Hafiz Muhammad Faisal Shehzad, Grigori Sidorov, and Alexander Gelbukh. "YouTube based religious hate speech and extremism detection dataset with machine learning baselines." Journal of Intelligent & Fuzzy Systems 42, no. 5 (March 31, 2022): 4769–77. http://dx.doi.org/10.3233/jifs-219264.
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On YouTube, billions of videos are watched online and millions of short messages are posted each day. YouTube along with other social networking sites are used by individuals and extremist groups for spreading hatred among users. In this paper, we consider religion as the most targeted domain for spreading hate speech among people of different religions. We present a methodology for the detection of religion-based hate videos on YouTube. Messages posted on YouTube videos generally express the opinions of users’ related to that video. We provide a novel dataset for religious hate speech detection on Youtube comments. The proposed methodology applies data mining techniques on extracted comments from religious videos in order to filter religion-oriented messages and detect those videos which are used for spreading hate. The supervised learning algorithms: Support Vector Machine (SVM), Logistic Regression (LR), and k-Nearest Neighbor (k-NN) are used for baseline results.
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Hariyanto, Didik, and Aninda Pinasti Putri Mariyanto. "Motif Menonton Vlog "Keluarga Beti" Channel Youtube Arif Muhammad." Kanal: Jurnal Ilmu Komunikasi 8, no. 2 (March 1, 2020): 67–72. http://dx.doi.org/10.21070/kanal.v8i2.264.
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This study aims to determine the motives of vlog audience "beti family". This study uses in-depth interviews, and documentation. Measurement of motifs in this study uses McQuail's motive theory, namely: information motives, personal identity motives, social interaction motives, and entertainment motives. The Uses and Gratification Theory assumes that media is not all powerful, which has a high power, that is to its users. Media users have the choice of consuming media to satisfy their needs. The "Beti Family" vlog Arif Muhammad's youtube channel is the research subject chosen by the researcher. This is because one of the drama vlogs on YouTube is the most popular community and is often included in YouTube's tranding column. The results that can be dominant in the motives of social interaction and entertainment motives. The informant's answer about the motives of social interaction because it allows the informant to interact with each other and get new conversations about the uniqueness contained in this vlog. And for answers about entertainment motives because they want to get entertainment and want to get rid of boredom.
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Mazzuchetti, Roselis Natalina, Vinicios Mazzuchetti, Adalberto Dias de Souza, and Ismael Barbosa. "A SOCIO-RHETORICAL ANALYSIS OF SPORTS-TAGGED CONTENT PRODUCED BY YOUTUBERS." International Journal for Innovation Education and Research 7, no. 7 (July 31, 2019): 78–92. http://dx.doi.org/10.31686/ijier.vol7.iss7.1576.
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This research proposes a socio-rhetorical analysis of videos posted on YouTube under the tag “Sports”, specifically the regular content created by users, so-called YouTubers. The theoretical basis contemplates the concept of technology – based on the works by Viera Pinto (2005) – and participatory cultured – mainly guided by ideas from Shirky (2008, 2011). The analytical device is derived from work by Swales (1990, 1998, 2004), Askehave & Swales (2001), and Miller (1998, 2012). A hybrid methodology was created, resulting from the sociological and linguistic concepts applied to the organizational reality of virtual massive communication. The analysis decomposes the video in rhetorical movements. We follow the hypothesis that the main purpose of such communicational practices is self-promotion of the individual who produce the YouTube channel, or the promotion of the brand of which constitutes the channel produced by multiple users. Furthermore, the self-promotion and widening of audience is pursued with financial purpose.
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Rizkia, Ajeng Dwi, Dwi Ispriyanti, and Sugito Sugito. "PENGARUH KUALITAS LAYANAN DAN CITRA MEREK TERHADAP KEPUASAN PENGGUNA YOUTUBE PREMIUM MENGGUNAKAN PARTIAL LEAST SQUARE." Jurnal Gaussian 11, no. 3 (July 19, 2022): 323–31. http://dx.doi.org/10.14710/j.gauss.11.3.323-331.
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As one of the largest digital service providers in the world, YouTube certainly makes breakthroughs to maintain user interest in accessing videos through YouTube, one of which is by creating the YouTube Premium service. This research was conducted to determine the extent to which these services can provide a sense of satisfaction for its users, because as a digital service provider company, YouTube is very dependent on user satisfaction. User satisfaction is influenced by service quality and brand image. In this study, service quality, brand image, and service user satisfaction act as latent variables. To test the predictive relationship between indicator variables and variables that cannot be measured directly (latent variables) by seeing whether there is a relationship or influence between these variables using the obtained modeling can be done using the Partial Least Square method. Therefore, to determine the effect of service quality and brand image on YouTube Premium user satisfaction, an analysis was conducted using the Partial Least Square method. The research data was obtained by distributing questionnaires to 150 YouTube Premium users in Indonesia. The results of the analysis show that service quality and brand image have a significant effect on YouTube Premium user satisfaction.
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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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Turco, Carmine, Claudia Collà Ruvolo, Simone Cilio, Giuseppe Celentano, Gianluigi Califano, Massimiliano Creta, Marco Capece, et al. "Looking for cystoscopy on YouTube: Are videos a reliable information tool for internet users?" Archivio Italiano di Urologia e Andrologia 94, no. 1 (March 29, 2022): 57–61. http://dx.doi.org/10.4081/aiua.2022.1.57.
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Objective: The Internet is an important and easily accessible source of information. The aim of the current study was to investigate the quality of YouTube videos on cystoscopy and to establish if they can be used as a reliable information tool for internet users. Materials and methods: The search term “cystoscopy” was used on YouTube platform and the first 120 YouTube videos were analyzed. To assess the video quality Patient Education Materials Assessment Tool (PEMAT) for Audiovisual (A/V) Materials (Understandability and Actionability sections), Misinformation score and Global Quality Score (GQS) were used. Results: Of all 120 videos, 72 were included in the analyses. Of all videos, 59.7% (n = 43), and 40.3% (n = 29) were targeted to General Public and Healthcare Workers. Moreover, “technical aspects” was the main topic addressed (n = 29, 40.3%). The median PEMAT A/V Understandability and Actionability scores were 50.0% (IQR: 39.1-70.0) and 66.7% (IQR: 33.3- 100.0), respectively. The median Misinformation score ranged from 1.0 to 3.0. According to GQS, 22 (30.6%), 26 (36.1%), 16 (22.2%), 8 (11.1%) videos were poor, generally poor, moderate, and good, respectively. No video was evaluated as excellent. Conclusions: Today, YouTube videos on cystoscopy are more frequently uploaded by healthcare workers, who share information about specific aspects of this procedure. However, the quality of YouTube contents on cystoscopy is still poor. Therefore, currently users interested in cystoscopy cannot rely on YouTube to get good informative material on this topic. In consequence, future authors should focus on improving the quality of video contents on cystoscopy
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O'Callaghan, Derek, Martin Harrigan, Joe Carthy, and Pádraig Cunningham. "Network Analysis of Recurring YouTube Spam Campaigns." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (August 3, 2021): 531–34. http://dx.doi.org/10.1609/icwsm.v6i1.14288.
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As the popularity of content sharing websites has increased, they have become targets for spam, phishing and the distribution of malware. On YouTube, the facility for users to post comments can be used by spam campaigns to direct unsuspecting users to malicious third-party websites. In this paper, we demonstrate how such campaigns can be tracked over time using network motif profiling, i.e. by tracking counts of indicative network motifs. By considering all motifs of up to five nodes, we identify discriminating motifs that reveal two distinctly different spam campaign strategies, and present an evaluation that tracks two corresponding active campaigns.
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Cahyono, Guntur, and Nibros Hassani. "YOUTUBE SENI KOMUNIKASI DAKWAH DAN MEDIA PEMBELAJARAN." Al-Hikmah 13, no. 1 (May 20, 2019): 23. http://dx.doi.org/10.24260/al-hikmah.v13i1.1316.
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This research describes the development of Social Media YouTube that gives new communication pattern for the preacher and the teacher. YouTube is the most strategic media which containing videos content that spreading the information as an art of communication which envolve the users. The society routine for Revolutional Industry 4.0 has changed the communication pattern to get online information (in the internet). Through certain keywords, YouTube users can get the information that is wanted. Media social platform possess the vary contents including Islamic Da’wah and Islamic Education. YouTube in the context of Islamic Education some certain of da’wah contents can become as learning media or material enrichment that is still limited in text book learning present day.
[Penelitian ini mendiskripsikan bahwa perkembangan media sosial YouTube memberikan pola baru komunikasi para pendakwah dan guru. YouTube adalah media paling strategis, yang memuat konten video untuk menyebarkan informasi sebagai seni berkomunikasi dengan melibatkan para pengguna. Kebiasaan masyarakat di era revolusi industri 4.0 mengubah pola komunikasi untuk mendapatkan informasi daring (dalam jaringan). Melalui kata kunci tertentu pengguna YouTube bisa memperoleh informasi yang diinginkan. Platform media sosial memiliki konten yang bermacam-macam termasuk didalamnya adalah dakwah Islam dan pendidikan Islam. YouTube Dalam konteks pendidikan Islam beberapa konten dakwah bisa dijadikan sebagai media pembelajaran atau pengayaan materi yang selama ini masih terbatas pada buku pelajaran].
Kata Kunci : YouTube, Komunikasi Dakwah, Media Pembelajaran
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Yeo, T. E. "Modeling Personality Influences on YouTube Usage." Proceedings of the International AAAI Conference on Web and Social Media 4, no. 1 (May 16, 2010): 367–70. http://dx.doi.org/10.1609/icwsm.v4i1.14054.
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Understanding the personality-contextual attributes of target users can help developers design tools that increase the effectiveness of social media sites or identify appropriate lead users to seed products already in development. This paper illustrates that users' personality traits serve as a distinguishable set of characteristics that can be meaningfully related to YouTube usage. A model outlining the structural relations among: personality and motives (predictors), involvement (mediator), and video preferences and user activities on YouTube (dependent constructs) was proposed and successfully tested. The analysis was able to capitalize on the full statistical advantage of structural equation modeling in testing the unattenuated effects of the constructs through the use of fully latent variables. In particular, through the use of the new exploratory structural equation modeling technique, a full set of Big Five personality factors was modeled as latent variables – which was not methodologically viable until recently. Modeling a fuller set of predictors allows researchers to control for the influence of non-salient predictors and to ascertain the unique and common variances among predictors. Each of the Big Five personality factors was found to have a significant influence on at least one aspect of user participation. Extraversion and openness to experience had the most number of significant effects, showing not only proximal effects on motives but direct effects on video preferences and user activities as well. Although the effects of the other personality factors — neuroticism, conscientiousness, and agreeableness — were limited to motives, they were moderately stronger than extraversion and openness to experience.
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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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Purwatiningsih, Sri Desti, and Sri Ekowati. "Interfaith Debate Through Youtube Media as an Effort to Educate and Fortify the Faith of the Ummah." Technium Social Sciences Journal 30 (April 9, 2022): 271–81. http://dx.doi.org/10.47577/tssj.v30i1.6246.
Full textAbstract:
The da'wah method through youtube media is a method used by Muslim debaters in conveying da'wah messages so that the da'wah message is conveyed according to the objectives to the listeners and viewers of the youtube channel so that Muslims are fortified with their faith so that they are not easily influenced and not easy to be converted by other religions. To facilitate and attract a broader audience in the world of da'wah and broadcast or debate between Islam and Christianity, Muslim and Christian apologists or debaters use effective communication media through online media, one of which is YouTube. The delivery of messages of truth must be systematically arranged so that the mission of this ministry can run efficiently and effectively. The research approach used is qualitative with nethographic research methods, namely the method used to understand the culture of social media users. The culture referred to here is social media (Youtube) as a safe space for social media users to share information. Netnography is a method for social media users' behavior (culture) or habits.
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Tran, Giang T. C., Luong Vuong Nguyen, Jason J. Jung, and Jeonghun Han. "Understanding Political Polarization Based on User Activity: A Case Study in Korean Political YouTube Channels." SAGE Open 12, no. 2 (April 2022): 215824402210945. http://dx.doi.org/10.1177/21582440221094587.
Full textAbstract:
This study proposes a novel approach for measuring political polarization using a user-activity-based model. By exploiting data from comments, user activity in this study is defined based on features such as coverage, duration, and enthusiasm. To determine these features, we collect information on the activities of users from South Korean YouTube channels. Notably, the collected data of the model contains approximately 11 M comments from more than 600 K users based on 37 K videos of 77 YouTube channels. To handle the big data collection, we deploy a web-based platform called TubePlunger to collect video information (e.g., comments, replies, etc.) automatically from YouTube channels. The output of the model reveals that the users are strongly polarized because the number of neutral users is very small (approximately 8% of the total). We then applied this model to the other channels in the testing dataset to define polarization with a bias percentage and to visualize the user activity distribution. The experimental results show that there are 30 fully polarized YouTube channels (16 left-wing channels and 14 right-wing channels) with a measured bias ratio higher than 70%. Our method of analyzing social network data based on user activity provides the foundation for polarization analysis that can be applied to fields other than politics.