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Journal articles on the topic 'Social media filters'
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AlShehri, Bashayer, Aljawhra Alotaibi, Hind Alqhtani, Alaa AlAli, and Heba Kurdi. "A Mobile Platform for Social Media Filters." Procedia Computer Science 170 (2020): 297–302. http://dx.doi.org/10.1016/j.procs.2020.03.043.
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Steinbaugh, Adam. "Social media filters risk First Amendment scrutiny." Campus Legal Advisor 21, no. 1 (August 12, 2020): 1–3. http://dx.doi.org/10.1002/cala.40313.
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Mona, Eflina Nurdini Febrita, and Frederik Masri Gasa. "Literasi Media: Sosial Media Sebagai “Front Stage” Baru Personal Image Generasi Digital Native." JURNAL SIMBOLIKA: Research and Learning in Communication Study 6, no. 2 (October 30, 2020): 107–20. http://dx.doi.org/10.31289/simbollika.v6i2.3650.
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The purpose of this research is to see how social media creates a new "front stage" for individuals and provides space for these individuals to form and manage their personal images, which tend to be more enjoyable for the digital native generation. This study uses an interpretive paradigm. For interpretive researchers, the goal of social research is to develop an understanding of social life and discover how people construct meaning in natural settings. The implementation of this research produces media literacy, not just an activity that filters out various information that is of no use to its users, positives and more advantages. The conclusion of this research is that Native Digital Generaation is a different group in the stage of searching for identity, and is at the stage of searching for an appropriate role which is expected to receive the appreciation they expect, media literacy is needed as skills not only filter out the negative things of freedom, social media, but furthermore requires the ability to maximize social media space to get positive things and more benefits.
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Triana, Rinanda, Nurdin Hidayah, and Daeng Noerdjamal. "RANCANGAN PENGELOLAAN SOCIAL MEDIA MARKETING ENGAGEMENT." Jurnal IPTA 9, no. 1 (July 19, 2021): 188. http://dx.doi.org/10.24843/ipta.2021.v09.i01.p19.
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This research intends to designed the engagement management of facebook and instagram of Management Unit of Jakarta Historical Museums formed by 3 major elements in managing social media interactions namely creator-related features, contextual features, and content features. This study used kualitatif method with descriptive approach by conducting interviews with companies and visitors, also observation on their social media. Which the results be analyzed using the Miles and Huberman analysis model and tested the validity of the data using source triangulation technique. The results of this research show that Management Unit of Jakarta Historical Museums has operator division in managing their social media consisting of coordinator and three admins, but there is no classification of admin’s job description in managing their social media. From both social media, the interaction that exists on facebook and instagram is still not optimal can be seen from the average number of likes and comment that has not shown a significant number. Interesting content for visitors is informative, provide detailed information, the right composition and layout, and use filters that are not excessive.
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Lavrence, Christine, and Carolina Cambre. "“Do I Look Like My Selfie?”: Filters and the Digital-Forensic Gaze." Social Media + Society 6, no. 4 (October 2020): 205630512095518. http://dx.doi.org/10.1177/2056305120955182.
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Filtered faces are some of the most heavily engaged photos on social media. The vast majority of literature on selfies have focused on self-reported practices of creating and posting selfies and how subjects view themselves, but research on using filters and the kinds of looking filter provoke is underexplored. Part of a larger project, this analysis draws from a study using photo-elicitation techniques to discuss selfie filters with 12 focus groups, exploring the dominant discourses of cis-gendered looking within digital sociality. We explore how participants edit their selfies, imagine potential audiences, interact with, and perceive the filtering behaviors of others, asking what the “work” of filters is, visually and socially. We probe the kinds of discourses filters participate in, and their gendered and affective dimensions. Our focus groups indicate that when looking at the selfies of others there is often an a priori assumption that filtering has been applied, whether conspicuously or not, to the extent that visual tune-ups have become central to the genre itself. As such, we explore the ambivalence and anxiety about authenticity that filters produce, as well as the intense looking practices aimed at decoding the legitimacy of images. We posit that filters are part of a digital ecosystem that demands an intensification of looking practices, which produce and enhance specific forms of objectification directed toward selves and others within digital environments.
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Surve, Sophia. "Comparative Study of Emojis and Filters for Enhancing Presence on Social Media." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 308–13. http://dx.doi.org/10.22214/ijraset.2018.3046.
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Matsick, Jes L., Lizbeth M. Kim, and Mary Kruk. "Facebook LGBTQ Pictivism: The Effects of Women’s Rainbow Profile Filters on Sexual Prejudice and Online Belonging." Psychology of Women Quarterly 44, no. 3 (June 10, 2020): 342–61. http://dx.doi.org/10.1177/0361684320930566.
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Facebook’s rainbow profile filter represents a popular display of activism (“pictivism”) commonly used by women, yet little is known of pictivism’s potential for creating social change. We tested whether women’s group status (belonging to a dominant vs. marginalized group) and filter use influenced viewers’ perceptions, attitudes, and behaviors. We conducted a series of 2 (target sexual orientation: queer or heterosexual) × 2 (filter use: filter or no filter) experiments with heterosexual ( N 1 = 198, N 2 = 186) and LGBTQ ( N 3 = 290) participants. Participants rated women who used rainbow filters as more activist than women who did not engage in pictivism. Although neither target sexual orientation nor filter use influenced participants’ ally behavior (donations), heterosexual people who viewed a woman using a filter reported greater closeness to LGBTQ people and greater intentions of supporting LGBTQ people when the woman was queer than heterosexual. Exposure to rainbow filters caused LGBTQ participants to express greater online and societal belonging than when filters were absent. Taken together, women’s pictivism and the online visibility of queer women yielded some psychological benefits for heterosexual and LGBTQ viewers. If the goal of pictivism is to enhance marginalized groups’ feelings of support, it works as intended. We thus recommend that both heterosexual and LGBTQ people who care about LGBTQ rights and seek to affirm LGBTQ individuals’ sense of belonging embrace opportunities on social media, specifically through profile picture filters, to communicate their support. Additional online materials for this article are available on PWQ ’s website at http://journals.sagepub.com/doi/suppl/10.1177/0361684320930566
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Hunter, Margaret. "Technologies of Racial Capital." Contexts 18, no. 4 (November 2019): 53–55. http://dx.doi.org/10.1177/1536504219884073.
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Drucker, Susan J., and Gary Gumpert. "The Impact of Digitalization on Social Interaction and Public Space." Open House International 37, no. 2 (June 1, 2012): 92–99. http://dx.doi.org/10.1108/ohi-02-2012-b0011.
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The tradition of urban public space confronts the reality of a ubiquitous, mobile ‘me media’ filled environments. Paradoxically, the ability to connect globally has the tendency of disconnecting location. The examination of modern public spaces, diversity and spontaneity in those spaces requires recognition of the transformative power of changes in the media landscape. Compartmentalization or segregation of interaction based on choice shapes attitudes toward diversity. In the digital media environment the individual blocks, filters, monitors, scans, deletes and restricts while constructing a controlled media environment. Modern urban life is lived in the interstice between physical and mediated spaces (between physical local and virtual connection) the relationship to public space. Augmented with embedded and mobile media public spaces simultaneously offer those who enter a combination of connection and detachment. This paper utilizes a media ecology model.
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Li, Shugang, Ru Wang, Yuqi Zhang, Hanyu Lu, Nannan Cai, and Zhaoxu Yu. "Potential social media influencers discrimination for concept marketing in online brand community." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 317–29. http://dx.doi.org/10.3233/jifs-201809.
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Identifying potential social media influencers (SMIs) accurately can achieve a long-time and effective concept marketing at a lower cost, and then promote the development of the corporate brand in online communities. However, potential SMIs discrimination often faces the problem of insufficient available information of the long-term evolution of the network, and the existing discriminant methods based on link analysis fail to obtain more accurate results. To fill this gap, a consensus smart discriminant algorithm (CSDA) is proposed to identify the potential SMIs with the aid of attention concentration (AC) between users in a closed triadic structure. CSDA enriches and expands the users’ AC information by fusing multiple attention concentration indexes (ACIs) as well as filters the noise information caused by multi-index fusion through consensus among the indexes. Specifically, to begin with, to enrich the available long-term network evolution information, the unidirectional attention concentration indexes (UACIs) and the bidirectional attention concentration indexes (BACIs) are defined; next, the consensus attention concentration index (CACI) is selected according to the principle of minimum upper and lower bounds of link prediction bias to filter noise information; the potential SMI is determined by adaptively calculating CACI among the user to be identified, unconnected user group and their common neighbor. The validity and reliability of the proposed method are verified by the actual data of Twitter.
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Carlson, Bronwyn, and Ryan Frazer. "“They Got Filters”: Indigenous Social Media, the Settler Gaze, and a Politics of Hope." Social Media + Society 6, no. 2 (April 2020): 205630512092526. http://dx.doi.org/10.1177/2056305120925261.
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Social media technologies have had ambivalent political implications for Indigenous peoples and communities. On one hand, they constitute new horizons toward which settler colonial forces of marginalization, disenfranchisement, and elimination can extend and strengthen their power. On the other hand, social media have also offered opportunities to resist and reject the violence of colonization and its ideological counterparts of domination and racial superiority, and work toward imagining and realizing alternative futures. In this article, we draw on insights from settler colonial studies and affect theory to chart the politics of “affect” through the stories of Indigenous Australian social media users. We first argue that the online practices of Indigenous social media users are often mediated by an awareness of the ‘settler gaze’—that is, a latent audience of non-Indigenous others observing in bad faith. We then outline two responses to this presence described by participants: policing the online behaviors of friends and family, and circulating hopeful, inspiring, and positive content. If “policing” is about delimiting the things of which online bodies are capable, then an affective politics of hope is about expanding a body’s capacity to act and imagining other possible futures for Indigenous people.
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Barker, Jessica. "Making-up on mobile: The pretty filters and ugly implications of Snapchat." Fashion, Style & Popular Culture 7, no. 2 (March 1, 2020): 207–21. http://dx.doi.org/10.1386/fspc_00015_1.
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Abstract What happens when the fashionable beauty ideal ‐ typically considered unattainable ‐ becomes instantly attainable for the masses with the mere tap of a touchscreen? As the widespread use of Snapchat's popular but problematic Lenses has shown, responses are mixed and critiques abound. The social media platform Snapchat introduced Lenses ‐ commonly known as face filters ‐ in 2015. These filters apply virtual accessories and edit facial features, enabling users to incorporate augmented reality technology into their daily sartorial practice. Through this 'digital adornment' users experiment with creativity and self-expression, as with cosmetics and clothing, while forging social connections. However, Snapchat's filters frequently spark controversy by slimming the jawlines and noses, enlarging the eyes and lips, and smoothing and lightening the complexions of millions of users. These effects have caused users to consider the powers of self-fashioning and question the standard of beauty being presented. By examining the observations and opinions presented in the online fashion, tech and news media, this study explores the problematic nature of Snapchat's beautifying filters. It traces users' dismay at how Snapchat, originally praised as a space for authentic, unfiltered self-presentation, became a force for aggressively perpetuating fashionable but exclusionary beauty ideals. It presents the range of reactions to these face-perfecting filters, from satisfaction and guilt to insecurity and body dysmorphia. It also explores the connection between face filters, cosmetics and feminine beauty ideals in a celebrity-led, self-image-saturated culture, with reference to brand-sponsored filters.
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Pescott, Claire Kathryn. "“I Wish I was Wearing a Filter Right Now”: An Exploration of Identity Formation and Subjectivity of 10- and 11-Year Olds’ Social Media Use." Social Media + Society 6, no. 4 (October 2020): 205630512096515. http://dx.doi.org/10.1177/2056305120965155.
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Social media use is changing the experience of socialization for younger children, as they are heavy adopters of these platforms despite the terms of service being 13 years of age. This research recruited eight Year 6 focus groups in four primary schools and employed a range of activities to explore their views surrounding social media. Results indicate that young children are aware of overt dangers, such as catfishing, but may experience negative subjective experiences when interacting on social media. This was particularly apparent in the discussions around Snapchat filters (digital overlays placed over photographs). It is necessary to address emotional resilience in response to this.
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Varman, Rahul M., Nicole Van Spronsen, Mia Ivos, and Joshua Demke. "Social Media Filter Use and Interest to Pursue Cosmetic Facial Plastic Procedures." American Journal of Cosmetic Surgery 38, no. 3 (January 7, 2021): 181–86. http://dx.doi.org/10.1177/0748806820985751.
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Our aim was to explore the effect of social media face-altering programs on desire for subsequent facial plastic procedures. This was a cross-sectional survey study in two cities, incorporating participants ages 18 to 29 in undergraduate and graduate programs. Demographic and social media–specific factors were descriptively and quantitatively analyzed. Total respondents were n = 398. The use of face-enhancing Instagram filters was associated with subsequent desire to undergo facial plastic procedures (chi-square = 5.04, p < .05). History of prior psychiatric diagnosis was also independently associated with a desire to undergo facial plastic procedures (chi-square = 7.34, p < .05). The use of face-altering software on social media has a significant association with subsequent desire to undergo facial cosmetic procedures. Comorbid psychiatric disorders also independently have a significant effect on the desire to pursue such procedures. Continued studies and elucidation of these factors may benefit the facial plastic surgeon for appropriate counseling and management to optimize patient outcomes.
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Ezeh, Nkiru Comfort, and Augustine Godwin Mboso. "Youth perspective on social media discourse on “Lazy Nigerian Youths” conversations." Informasi 50, no. 2 (December 29, 2020): 111–22. http://dx.doi.org/10.21831/informasi.v50i2.31334.
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The Social Media has emerged as a new platform for discourses. It has no doubt provided people with easier and faster accessibility to information and has become an outlet for them to share their views on socio-political issues. It has also been observed that negative and hate comments seem to dominate on social networks used for social and political communication. Anchored on Public Sphere Theory, focus group discussions were conducted with undergraduate youths in South-east Nigeria examined on the issue of President Mohammadu Buhari’s referring to Nigerian youths as lazy, while speaking at the Commonwealth Business Forum in Westminster on 18th April 2018. This article, therefore, explored the opinions advanced in the discourse based on the principles of freedom of expression and responsibility. The study suggests that while Twitter platform was more objective in the discussion of the issue of the day because it allows the use of filters to ensure that contents posted on the platform adhere strictly to rules and fair usage; Facebook and Whatsapp trailed with abuses and hate comments. The study recommended that owners of blogs and media houses who now post their contents on the social media should coordinate comments on such platforms and continue developing mechanisms that work to regulate the quality of posted content.
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Pınarbaşı, Fatih, and İbrahim Kırçova. "Emoji usage in brand communication through social media: An evaluation on Turkey context." Turkish Journal of Marketing 6, no. 1 (April 25, 2021): 90–103. http://dx.doi.org/10.30685/tujom.v6i1.109.
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As one of the crucial elements in today’s communication, the emoji concept contains helpful insights about the market environment and brand communication. The research on emoji concept for Turkey context is limited and primarily based on traditional marketing research approaches, and this study aims to provide a data-based approach for understanding the concept by a 25.134 tweets sample from 5 industries/25 brands. The first section of the study uses the data retrieved through Twitter API by an exploratory approach that utilizes emoji presence, emoji density, and emoji variety variables. The second stage filters the sample by average interaction amounts and examines the sample by emoji categories and emotions. 21% emoji intensity and 15% emoji variety are found for the overall sample, while the smileys & people category is the most used category in the second stage sample. Top used emojis and emoji sentiment findings are also concluded in the study.
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Hoffman, L. H., C. J. Glynn, M. E. Huge, R. B. Sietman, and T. Thomson. "The Role of Communication in Public Opinion Processes: Understanding the Impacts of Intrapersonal, Media, and Social Filters." International Journal of Public Opinion Research 19, no. 3 (July 29, 2007): 287–312. http://dx.doi.org/10.1093/ijpor/edm014.
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Sándor, Alexandra Valéria. "The Psychosocial Impact of Modifying Face and Body Photographs in Social Media." Journal of Advanced Research in Social Sciences 3, no. 2 (December 30, 2020): 41–46. http://dx.doi.org/10.33422/jarss.v3i2.504.
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Social media usage has become widespread in the past decade, and studying its far-reaching impacts requires an interdisciplinary approach. This pilot study takes the first step in discovering the psychosocial impact of specific media content, modified face and body photographs, and the act of modifying in this context with a mixed-method assessment. The analysis is based on structured interviews with ten social media users with various demographic traits (such as gender, age, or education) who were presented eight pairs of "before-and-after modification" photographs and completed the Beck Depression Inventory (BDI) to assess a possible relationship between modified face and body photographs in social media and depression. All the participants encountered such face and body photographs that they considered "modified". The definition of modification was "retouching, editing, using filters or any kind of digital altering mechanism". Seventy per cent of users admitted that they took the opportunity to modify photographs of their face and body. The average Beck score of the image modifiers was 7.14, while non-modifiers' was 2.33. Thirty per cent of the interviewees probably had mild depression or were in a mildly depressive state during the data collection based on their Beck scores; all were image modifiers exposed to modified pictures. Besides the fully structured interviews with social media users, half-structured interviews were also recorded with four experts – a social psychologist, a clinical psychologist, a plastic surgeon, and a professional photographer – to gain a deeper understanding of this complex topic and contribute to further, more extensive research on this area.
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Chandra Kusuma, Dian Novita Sari, and Roswita Oktavianti. "Penggunaan Aplikasi Media Sosial Berbasis Audio Visual dalam Membentuk Konsep Diri (Studi Kasus Aplikasi Tiktok)." Koneksi 4, no. 2 (October 1, 2020): 372. http://dx.doi.org/10.24912/kn.v4i2.8214.
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TikTok social media is popular with various groups and age groups. TikTok is an audio visual based social media application that contains short videos that are homemade or made by other people who entertain with interesting features such as the latest music, unique face filters and others. This study uses the Theory of Uses and Gratifications to determine individual satisfaction in using TikTok social media. Social media can shape the self-concept of its users based on internal factors (physical and psychological) and external factors (other people and reference groups). This study aims to find out how the use of audio visual-based social media in shaping the self-concept of users with different age levels. This study uses a qualitative approach with a case study method for users of TikTok social media. Data collection was carried out using observations and interviews with 4 sources of users of TikTok applications who have different age levels. The results of this study indicate differences in the age level of TikTok users affect the duration of using the application also affect the formation of self-concept formed by the speakers. The use of the TikTok application forms the self-concept of the resource person in a positive direction such as increasing the confidence of the resource person to show his identity and negative self-concepts such as lack of time management.Media sosial TikTok digemari oleh berbagai kalangan dan jenjang umur. TikTok adalah aplikasi media sosial berbasis audio visual yang berisikan video-video pendek buatan sendiri maupun buatan orang lain yang menghibur dengan fitur-fitur menarik seperti musik terbaru, filter wajah yang unik dan lain-lain. Penelitian ini menggunakan Teori Uses and Gratifications untuk mengetahui kepuasan individu dalam menggunakan media sosial TikTok. Media sosial dapat membentuk konsep diri dari penggunanya berdasarkan faktor internal (fisik dan psikis) dan faktor eksternal (orang lain dan kelompok rujukan). Penelitian ini bertujuan untuk mengetahui bagaimana penggunaan media sosial berbasis audio visual dalam membentuk konsep diri penggunanya dengan jenjang umur yang berbeda. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus terhadap pengguna media sosial TikTok. Pengumpulan data dilakukan menggunakan observasi dan wawancara kepada 4 narasumber pengguna aplikasi TikTok yang memiliki jenjang umur yang berbeda. Hasil dari penelitian ini menunjukkan perbedaan jenjang umur pengguna TikTok mempengaruhi durasi dalam menggunakan aplikasi juga mempengaruhi pembentukan konsep diri yang dibentuk oleh narasumber. Penggunaan aplikasi TikTok membentuk konsep diri narasumber ke arah positif seperti meningkatkan kepercayaan diri narasumber untuk menunjukkan jati dirinya dan konsep diri negatif seperti kurangnya dalam mengatur waktu.
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Sezen, Diğdem. "Without a blink: Machine ways of seeing in contemporary visual culture." Interactions: Studies in Communication & Culture 11, no. 1 (April 1, 2020): 103–7. http://dx.doi.org/10.1386/iscc_00010_7.
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In the last decade following the technological and commercial advances in digital image production and in artificial intelligence, human vision-centred understanding of visuality has changed profoundly. Machine vision technologies (MVTs) are used across a wide spectrum of activities ranging from surveillance to medical diagnosis, to adaptive visual filters on social media. This commentary calls for a rethinking of visuality that takes both technological advances and lessons learned from cultural studies into consideration.
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Sharma, Chanakya, Samuel Whittle, Pari Delir Haghighi, Frada Burstein, Roee Sa'adon, and Helen Isobel Keen. "Mining social media data to investigate patient perceptions regarding DMARD pharmacotherapy for rheumatoid arthritis." Annals of the Rheumatic Diseases 79, no. 11 (September 3, 2020): 1432–37. http://dx.doi.org/10.1136/annrheumdis-2020-217333.
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ObjectivesWe hypothesise that patients have a positive sentiment regarding biological/targeted synthetic disease modifying anti-rheumatic drugs (b/tsDMARDs) and a negative sentiment towards conventional synthetic agents (csDMARDs). We analysed discussions on social media platforms regarding DMARDs to understand the collective sentiment expressed towards these medications.MethodsTreato analytics were used to download all available posts on social media about DMARDs in the context of rheumatoid arthritis. Strict filters ensured that user generated content was downloaded. The sentiment (positive or negative) expressed in these posts was analysed for each DMARD using sentiment analysis. We also analysed the reason(s) for this sentiment for each DMARD, looking specifically at efficacy and side effects.ResultsComputer algorithms analysed millions of social media posts and included 54 742 posts about DMARDs. We found that both classes had an overall positive sentiment. The ratio of positive to negative posts was higher for b/tsDMARDs (1.210) than for csDMARDs (1.048). Efficacy was the most commonly mentioned reason in posts with a positive sentiment and lack of efficacy was the most commonly mentioned reason for a negative sentiment. These were followed by the presence/absence of side effects in negative or positive posts, respectively.ConclusionsPublic opinion on social media is generally positive about DMARDs. Lack of efficacy followed by side effects were the most common themes in posts with a negative sentiment. There are clear reasons why a DMARD generates a positive or negative sentiment, as the sentiment analysis technology becomes more refined, targeted studies could be done to analyse these reasons and allow clinicians to tailor DMARDs to match patient needs.
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Salcudean, Minodora, and Raluca Muresan. "The emotional impact of traditional and new media in social events." Comunicar 25, no. 50 (January 1, 2017): 109–18. http://dx.doi.org/10.3916/c50-2017-10.
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In past times, media were the sole vector to reflect in their entire complexity the events surrounding major world tragedies. Nowadays, social media are an essential component of the media process and classical press channels are connected to the social networking flow, where they can find information and, at the same time, tap into the emotional pulse of society. On 30 October 2015, a Bucharest nightclub was destroyed in a blaze tragedy in which 64 people were killed, most of them young. The present study focuses on how Romanian mainstream media and social media came together and made use of each other, generating post-tragedy side effects. Monitoring was conducted over a period of one month, starting from 30 October 2015, the date of the tragedy, until 30 November. Our investigation method combines content analysis and the interpretation of quantitative data, with reference to parameters such as context, themes, style, genre, and information/opinion rapport. The conclusions of this case study show that the interweaving between media and social media has generated a change of paradigm in mass communication, as a result of which professional journalists continue to play a role as responsible filters. En el pasado, al referirse a tragedias, los medios de comunicación representaban el único vector que reflejaba el acontecimiento en toda su complejidad. Hoy en día, los medios sociales constituyen un componente esencial del proceso mediático, y son los medios clásicos de prensa los que están conectados al flujo de las redes sociales, de las que, no solo recopilan información, sino también el pulso emocional de la sociedad. El 30 de octubre de 2015, en un club de Bucarest, se produjo un incendio que ocasionó 64 muertes, la mayoría jóvenes. Este estudio se centra en cómo el flujo mediático y las redes sociales en Rumanía se fusionaron y se apoyaron mutuamente, generando efectos secundarios tras la tragedia. El período de seguimiento fue de un mes, desde el 30 de octubre, cuando se produjo la tragedia, hasta el 30 de noviembre. El método de investigación combina el análisis de contenido y la interpretación cualitativa de los datos, con referencia a parámetros como el contexto, el tema del artículo, el estilo, el género periodístico o la relación información/opinión. Las conclusiones de este estudio nos muestran que la conexión entre los medios tradicionales y los medios sociales ha ocasionado un cambio en el paradigma de los medios de comunicación, cuyo resultado es que el papel de los periodistas profesionales como filtro de garantía sigue siendo prioritario.
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Kostygina, Ganna, Hy Tran, Steven Binns, Glen Szczypka, Sherry Emery, Donna Vallone, and Elizabeth Hair. "Boosting Health Campaign Reach and Engagement Through Use of Social Media Influencers and Memes." Social Media + Society 6, no. 2 (April 2020): 205630512091247. http://dx.doi.org/10.1177/2056305120912475.
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Public health organizations are increasingly turning to social media as a channel for health campaign dissemination, as these platforms can provide access to “hidden” or at-risk audiences such as populations of color and youth. However, few studies systematically assess the effects of such campaigns in a competitive communication environment characterized by an influx of sophisticated tobacco product marketing. The objective of the current study is to investigate how content and source features of Twitter messages about truth® campaigns influence their popularity, support, and reach. Keyword rules were used to collect tweets related to each of the six campaigns from the Twitter Firehose posted between August 2014 and June 2016. Data were analyzed using a combination of supervised and unsupervised machine learning, keyword algorithms, and human coding. Tweets were categorized by source type (direct or truth®-owned social influencer; non-influencer). Tweet content was coded and classified for valence and campaign references (branded vs. non-branded or organic content). Message reach was calculated by source type and message type. Keyword filters captured 308,216 tweets posted by 225,912 Twitter users. Findings revealed that campaigns that utilized social influencers as message sources generated more campaign-branded and sharable content (e.g., campaign hashtags) and greater volume of tweets per day and reach per day. Influential users posted fewer organic messages and more branded/sharable content, generating greater reach compared to non-influencers. Oppositional messages decreased over time. Harnessing cultural elements endemic to social media, such as popular content creators (influencers) and messages (memes), is a promising strategy for improving health campaign interest and engagement.
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Flores Michel, Julieta, Margarita Emilia González Treviño, and Alma Elena Gutiérrez Leyton. "Challenging Stereotypes with Media and Information Literacy in Mexico." Medijske studije 10, no. 19 (October 21, 2019): 68–82. http://dx.doi.org/10.20901/ms.10.19.4.
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Information overload that affects digital natives and other generations in the 21st century makes it difficult for recipients to analyze the information’s truthfulness and quality. In this context, items of fake news pass as facts that could be interpreted as true, which may result in serious issues for the social fabric, especially if immersed in unstable or troublesome political and economic contexts. Still, the problem with disinformation is not limited to fake news because, even when content comes from trustworthy sources and verifiable facts, there are filters that present a subjective, biased and deformed reality. Within this context, we are submitting an example of a positive practice in media literacy targeting Research Methodology students at the Faculty of Communication. During this project, students analyzed the way women and men are shown on the cover of a local printed newspaper El Porvenir in the city of Monterrey, Mexico. In broad strokes, the results found a preference for stories showcasing men and stereotypes that place men in the public sphere and women in a private domain.
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Parida, Dillip Kumar, and D. Prasanna Kumar. "A Framework to Score the Risk Associated with Suspicious Money Laundering Activity and Social Media Profile." Indian Journal of Finance and Banking 4, no. 2 (July 15, 2020): 1–10. http://dx.doi.org/10.46281/ijfb.v4i2.662.
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Money laundering has immense entailments. The criminal who possesses black money and wants to mask it as legitimate must fabricate the source to look genuine. It makes the crime organized and more systematic to break the financial system. The existing AML (Anti Money Laundering) solutions and its design based on the creation of a transaction profile. Most of the leading AML software focuses on financial transactions and rarely focuses on linked suspicious individual’s social media profiles. Social networking is one of the most popular platforms to interact with others and millions of users use these platforms to communicate with each other from around the world. At the same time, the web has plenty of social and demographic information to create an accurate profile that aims to construct a legitimate profile. This paper consolidates the fragmented discussion from several articles and provides a detailed view of fraud profile identification. Practical insights are identified from various AML solutions and summarized from an extensive literature review. The risk scoring framework and definitions of filters can be widened to include more parameters for effective alert generation. In this paper, we propose an approach and risk scoring framework to assess customer profiles that drive the suspicious profile or transactions based on social media attributes.
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CIMINI, GIULIO, AN ZENG, MATÚŠ MEDO, and DUANBING CHEN. "THE ROLE OF TASTE AFFINITY IN AGENT-BASED MODELS FOR SOCIAL RECOMMENDATION." Advances in Complex Systems 16, no. 04n05 (August 2013): 1350009. http://dx.doi.org/10.1142/s0219525913500094.
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In the Internet era, online social media emerged as the main tool for sharing opinions and information among individuals. In this work, we study an adaptive model of a social network where directed links connect users with similar tastes, and over which information propagates through social recommendation. Agent-based simulations of two different artificial settings for modeling user tastes are compared with patterns seen in real data, suggesting that users differing in their scope of interests is a more realistic assumption than users differing only in their particular interests. We further introduce an extensive set of similarity metrics based on users' past assessments, and evaluate their use in the given social recommendation model with both artificial simulations and real data. Superior recommendation performance is observed for similarity metrics that give preference to users with small scope — who thus act as selective filters in social recommendation.
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Jennings, Freddie J., Calvin R. Coker, Mitchell S. McKinney, and Benjamin R. Warner. "Tweeting Presidential Primary Debates: Debate Processing Through Motivated Twitter Instruction." American Behavioral Scientist 61, no. 4 (April 2017): 455–74. http://dx.doi.org/10.1177/0002764217704867.
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Researchers have noted that an individual’s processing of political media messages occurs through various filters including partisanship, interest, and cynicism. The phenomenon of motivated processing, however, is understudied particularly in the context of televised presidential debates. As major campaign events, presidential debates have been linked to increases in viewers’ political knowledge, political information efficacy, and changes in candidate evaluation. Yet individual’s information processing, largely unexplored in the extant debate literature, may well influence these outcomes. In the present study, we manipulate processing of a political debate and monitor the effects through participant engagement with social media. Researchers asked debate viewers to tweet while watching 2016 Democrat and Republican presidential primary debates following instructions designed to prime either directional motivated processing or accuracy motivated processing. The results demonstrate that the accuracy prompt reduced issue-based tweeting and therefore reduced knowledge acquisition. Conversely, the directional prompt increased issue-based tweeting and therefore increased knowledge acquisition.
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Florenthal, Bela. "Young consumers’ motivational drivers of brand engagement behavior on social media sites." Journal of Research in Interactive Marketing 13, no. 3 (August 12, 2019): 351–91. http://dx.doi.org/10.1108/jrim-05-2018-0064.
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Purpose A comprehensive operational framework is proposed to explain young consumers’ (i.e. generations Y and Z) engagement with brands on social media sites (SMSs). This paper aims to synthesize two motivational theories: uses and gratifications (U&G) theory and the technology acceptance model (TAM). Design/methodology/approach A selective literature review was conducted to examine recent publications related to young consumers’ brand-driven engagement behavior on SMSs in which either TAM or U&G theory was applied. A three-stage method was used: an initial search was followed by vertical and horizontal searches and then a targeted search of scholarly publications. At each stage, the university’s library databases and Google Scholar were searched for relevant, mainly peer-reviewed articles, using appropriate filters and keywords. The articles’ references and the studies that cited those articles were added to the initially identified research pool (vertical search), coupled with publications of a similar nature based on keywords (horizontal search). The final stage, the targeted search, involved identifying and adding specific articles (e.g. literature reviews and integrated models). Findings After a review of a significant number of U&G and TAM studies, similarities and differences of the two theories were identified, and an integrated operational framework was developed. Based on empirical findings of existing U&G and TAM studies, testable propositions were presented. Research limitations/implications The proposed hybrid model and the associated propositions provide a research opportunity to empirically examine how young consumers’ motivational (i.e. motivating and demotivating) drivers, normative influence, perceived value and attitudes (toward brand content and engagement) predict intention or actual brand-related behavior on SMSs. Practical implications Much of current research indicates that generations Y and Z (“digital natives”) spend considerably more time on SMSs than any of the older generations (“digital immigrants”). Thus, brands that aim to target this cohort need to develop successful engagement strategies (e.g. gamification and influencer marketing) on current and emerging SMSs. The suggested conceptualization provides guidelines for companies to effectively use such communication strategies to motivate young people to engage with their brands on sites such as Twitter, Instagram and Facebook. Originality/value A review of TAM research indicates that it lacks rich motivating/demotivating constructs, and thus borrows from other theories to complement this weakness. An examination of U&G frameworks, particularity Ducoffe (1996)-based models, indicates that these frameworks mainly test engagement with social media advertising but seldom other types of brand-driven engagement on SMSs. In addition, many U&G studies focus less than TAM studies do on outcome variables such as behavioral intentions and behavior. Thus, the authors propose a synthesized U&G and TAM framework that mitigates both theories’ weaknesses and builds on their strengths, enriching the growing research on brand-driven engagement behavior via SMSs.
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Ramos, Margarita, Oluwatobi Yerokun, Sheera F. Lerman, Julie Caffrey, and Charles S. Hultman. "606 Is Social Media Contributing to a New Trend of Burns in Youth?" Journal of Burn Care & Research 42, Supplement_1 (April 1, 2021): S155—S156. http://dx.doi.org/10.1093/jbcr/irab032.256.
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Abstract Introduction Burn injuries in adolescents in the United States continue to occur at significant rates despite the many different programs focused on burn education and prevention. With the introduction of social media earlier in life and more social media targeting younger populations, our burn center has experienced a new class of burn injury: risky behavior promoted or encouraged as part of gaining social media popularity. Adolescents are likely the most vulnerable population in this type of risky behavior because of their access to social media and their willingness and ability to attempt the challenges, but younger children can also be burnt as bystanders or recruited participants by older minors. This study seeks to understand the content in social media which may lead to this risky behavior in minors. Methods We performed a term search in a popular social media application (TikTok) which included “burn”, “fire”, and “fire challenge””. We screened the top 50 most popular videos for each word search. Only videos which included footage of a person or body part being set on fire whether real or through a hologram or filters. We excluded videos showing professionals use fire (i.e. cooks, entertainers, welders, artisans), video game characters, videos with no body parts on fire. Metrics included in the social media were number of likes and number of views, as well as date posted. Results Six hundred and twelve videos were screened (153 videos in each search term category). A total of 20 (3.2%) of videos contained a demonstration of a risky behavior with fire. The most common content was four videos (20%) were the subject was setting one hand on fire. Two videos were pranks involving burning the pranked. Sixteen videos (80%) involved real fire and 4 (20%) involved a hologram of fire. The “likes” on the videos ranged from 1.9 million to 189. The comments ranged from 0 to 11,200. All of the authors were young adolescents or young adults. The videos had been there from 6 weeks to 21 months. Conclusions TikTok is a fast way to disseminate videos a large number of viewers. The majority of videos with content of risky behavior around fire are of individuals which are playing with fire or simulating playing with fire and often have no other overt agenda but to want attention and popularity. A minority of these videos are purposefully spreading risky behavior around fire as a “challenge” or “trend” to be copied by other TikTok viewers.
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Witri, Akira Aulia, and Mutia Rahmi Pratiwi. "ETNOGRAFI VIRTUAL PADA LAMAN PENGGUNA INSTAGRAM STORIES (IG STORIES) SEBAGAI BENTUK KOMUNIKASI INTERPERSONAL." Jurnal Audience 2, no. 2 (July 25, 2019): 135–54. http://dx.doi.org/10.33633/ja.v2i2.2710.
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AbstrakPerkembangan media sosial di Indonesia berdampak pada penggunanya, terutama bagiremaja. Instagram merupakan salah satu media sosial yang digunakan oleh para remaja untukmenunjukan eksistensinya melalui berbagai informasi yang diunggah. Instagram Stories (IGStories) merupakan salah satu fitur di Instagram yang memiliki banyak pengguna. Fitur IGStories menjadi media pengungkapan diri melalui unggahan berupa foto, teks, video yangdidukung dengan filter didalamnya. Penelitian ini merupakan penelitian kualitatif denganmetode etnografi virtual. Subjek penelitian terdiri dari dua orang yaitu Icak dan Rizky, remajaberusia 18 dan 23 tahun yang aktif menggunakan IG Stories di akun pribadinya. Hasil penelitianmenunjukan bahwa terdapat lima aspek dalam pengungkapan diri yang melatarbelakangipengguna fitur IG stories, yaitu: (1) Berdasarkan aspek ketepatan, para informan mengunggahkonten yang relevan dengan kegiatan yang sedang dilakukan; (2) Berdasarkan aspek motivasi,para informan termotivasi untuk mengungkapkan dirinya karena adanya dorongan dari luardan dalam melalui setiap foto yang diposting; (3) Berdasarkan aspek waktu, para informanmemposting foto pada pagi, siang dan malam hari; (4) Berdasarkan aspek keintensifan yangditunjukan oleh para informan kepada siapa ia mengungkapkan dirinya; (5) Berdasarkan aspekkedalaman, para informan melakukan postingan di IG Stories yang ditujukan kapada semuafollower di akunnya. Kata Kunci: Self Disclosure, Instagram Stories, Remaja. AbstractThe development of social media in Indonesia has an impact on its users, especially for teenagers.Instagram is one of the social media used by teenagers to show their existence through variousuploaded information. Instagram Stories (IG Stories) is one of the features on Instagram thathas many users. IG Stories feature is a medium for self disclosure through uploads of photos,text, videos that are supported by filters inside. This research is a qualitative research with virtual ethnographic methods. The research subjects consisted of two people, Icak and Rizky, adolescents aged 18 and 23 years who actively used IG Stories in their personal accounts.The results of the study describe a five aspect of instagram stories feature. Five aspect of selfdisclosure which is influence the user of Instagram Stories feature: (1) Accuracy, the informantsuploaded content that was relevant to the activities being carried out;(2) Motivation aspect,the informant is motivated to express himself because of the encouragement from insideand outside through each photo posted; (3)The time aspect, the informant posted a photoin the morning, afternoon and evening; (4) The intensification aspect, which is indicated bythe informant to whom he revealed himself; (5) The depth aspect, the informant posting on instagram stories is directed to all followers or to certain accounts on his instagram.Keywords: Self Disclosure, Social Media, Adolescent
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Yurko, Olha. "The functioning of information system in the society of the Second modern in conditions of military conflict." Grani 23, no. 3 (March 7, 2020): 108–17. http://dx.doi.org/10.15421/172031.
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The features of functioning of information system in the society of the Second modern in conditions of military conflict are analyzed in the article. Also we tried to analyze connection of this features with characteristics of the political and economic systems of this type of society. Television continues to be the main source of information about state of affairs in Ukraine and in the world, although it’s influence is decreasing. The concentration of media ownership in the hands of financial and industrial groups, associated with political forces, is an important issue. Online media and social networks are the second among the sources of information about state of affairs in Ukraine and in the world. Their increasing influence raises the question of the power of large internet companies, who have the ability to control information flows, provide an opportunity to use the information aggregated by them for the application of specific political technologies of influence on the public sphere. These companies are out of control of the regulatory mechanisms of state institutions in most countries, which creates vulnerabilities in the public sphere of nation-states to influence from other countries and unregulated aspects of online electoral campaigns. The crisis of confidence in traditional media increases the importance of offline and online networks of social interactions as a source of information. Data in Ukraine, Europe and USA show that loss of confidence in public institutions, rise of populism directly related to the decline in confidence in traditional media. The level of trust in vaccination in different regions of the world is also analyzed in the context of the functioning of media institutions and other public institutions. Modern media (both traditional and internet) tend to mix entertaining formats with political information. Converting policy to show, spreading fakes, noticeable dependence of media on certain political and economic groups and media’s partiality, weakening of expert filters undermines confidence in traditional and new media. Although the importance of social media for the democratization of the public sphere exists. Decreasing confidence in media in general converted to the сonfidence in concrete media figures (bloggers, experts etc.). The article also contains generalization of researches of media consumption in Ukraine in first part of 2019.
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Germonpre, Peter, Dirk Van Rompaey, and Costantino Balestra. "Evaluation of Protection Level, Respiratory Safety, and Practical Aspects of Commercially Available Snorkel Masks as Personal Protection Devices Against Aerosolized Contaminants and SARS-CoV2." International Journal of Environmental Research and Public Health 17, no. 12 (June 19, 2020): 4347. http://dx.doi.org/10.3390/ijerph17124347.
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Introduction: The “Severe Acute Respiratory Syndrome Coronavirus 2″ (SARS-CoV2) pandemic has led to a worldwide shortage of personal protection devices (PPD) for medical and paramedical personnel. Adaptation of commercially available snorkel masks to serve as full face masks has been proposed. Even not formally approved as PPD, they are publicized on social media as suitable for this use. Concerns about actual protection levels and risk of carbon dioxide (CO2) accumulation while wearing them for extended periods made us perform a systematic testing of various brands, in order to verify whether they are as safe and effective as claimed. Methods: A ‘fit’ test was performed, analogous to gas mask testing. Respiratory safety was evaluated by measuring end-tidal CO2 and oxygen saturation while wearing the masks in rest and during physical exercise. Masks were tested with 3D adaptors to mount regular bacterial-viral ventilator filters when available, or with snorkel openings covered with N95/FFP2 cloth. Results: Modified masks performed reasonably well on the fit test, comparable to regular N95/FFP2 masks. Not all ventilator filters are equally protective. For all masks, a small initial increase in end-tidal CO2 was noted, remaining within physiological limits. 3D printed adaptors are safer, have more flexibility and reliability than makeshift adaptations. Conclusions: These masks can offer benefit as a substitute for complete protective gear as they are easier to don and remove and offer full-face protection. They may be more comfortable to wear for extended periods. Proper selection of mask size, fit testing, quality of 3D printed parts, and choice of filter are important.
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Furrakh Abbas, Azhar Majeed Qureshi, Sana Nazir Ahmed,. "The use of social-networking sites in English language education: An exploratory study using SWOT analysis technique." Psychology and Education Journal 58, no. 1 (January 15, 2021): 4640–50. http://dx.doi.org/10.17762/pae.v58i1.1586.
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The global importance of English as the language of international communication needs no description. English has gained competitive edge and is considered a requirement in order to make progress in the global world. There is bulk of research dedicated to finding better means of learning and teaching English language. The current research aims at exploring the potential of using social networking sites for improving English language skills especially in the skill areas of reading and writing. The research proposes to analyze the opinion of the participants by using SWOT analysis technique. This techniques dissects the themes from the data under strength, weakness, opportunity and threat in order to draw the picture of the potential of anything, In the current research, SWOT analysis technique was used to organize the data in the themes mentioned here. The study concludes that the use of social networking sites in English language education has marvelous potential as the students learn with ease of mind. The language is learnt in without any affective filters like anxiety or lack of motivation. Though social media sites can be effective platforms, their use may also distract the language learners with all their misinformation, ungrammatical content, and artificial human interaction. The study implicates that there is need to formulate effective strategies for proximal advantage of the strengths and countering the weaknesses and threats in order to make the best of the opportunities provided by social media sites in English language education.
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Land, Molly K. "Speech Duties." AJIL Unbound 112 (2018): 329–33. http://dx.doi.org/10.1017/aju.2018.85.
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Using the example of harmful speech online, this essay argues that duties to others—a core component of our humanness—require us to consider the impact our speech has on those who hear it. The widening availability of tools for sharing information and the rise of social media have opened up new avenues for individuals to communicate without the need for journalistic intermediaries. While this presents considerable opportunities for expression, it also means that there are fewer filters in place to manage the harmful effects of speech. Moreover, the structure of online spaces and the uneven legal frameworks that regulate them have exacerbated the effects of harmful speech, allowing mob behavior, harassment, and virtual violence, particularly against minority populations and other vulnerable groups.
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Perwirawati, Elok, Prietsaweny Riris T. Simamora, and Lestari Victoria Sinaga. "POLA KOMUNIKASI KELOMPOK AGAMA DALAM PENCEGAHAN PENYEBARAN UJARAN KEBENCIAN DI KECAMATAN MEDAN POLONIA PADA PEMILIHAN PRESIDEN TAHUN 2019." Jurnal Darma Agung 27, no. 3 (December 11, 2019): 1124. http://dx.doi.org/10.46930/ojsuda.v27i3.371.
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This research was inspired by many hate speech cases on social media that massively occurred ahead of the presidential election in 2019. The purpose of this study was to determine the communication patterns of religious groups in preventing the spread of hate speech and the group communication process carried out by religious leaders towards their groups about preventing the spread of hate speech in Medan Polonia District. This research uses a qualitative descriptive approach. The subjects of this study are religious leaders and members of their groups in Medan Polonia District. The sampling technique is by purposive sampling. The results showed that each religious group (Hindu, Protestant Christian, Buddhist and Islamic) had different communication patterns one to another. There are various ways conveyed by the religious leaders in minimalizing their religious members in expressing hate speech in social media. (1) Hindu religious groups tend to have relatively closed network communication networks in terms of politics to avoid the disunity the Hindu’s fellow and also urge their groups to enhance their group mutual respect. (2) The Buddhist group, in its worship process, did not touch the political issues and prefer to discuss issues of security and the economy. (3)Contastively, an open and active communication network is easily found in Christian groups who are oftenly tend to accommodate their group's development with circulation of hate speech on social media, for example by utilizing whatsapp applications, and discussed it in prayer groups. (4) However, religious leader of Islamic religious groups provide themselves as filters in their network communication to avoid any communication containing hate speech so that for his group religious leaders become role models / patrons to behave.
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TANDI PAYUK, EVA ERIVA. "SEMIOTIC ANALYSIS IN INSTAGRAM LOGO." NOTION: Journal of Linguistics, Literature, and Culture 2, no. 2 (November 18, 2020): 64. http://dx.doi.org/10.12928/notion.v2i2.2358.
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This article investigated about semiotic that found in instagram logo. This article used Instagram, because many people nowadays used Instagram to express theirselves. The aim of this study is to find out the connotative and denotative meaning through the instagram. The researcher used John theory to reveal this study. In this research, the researcher applies the qualitative descriptive method. The method of collecting data is observation. The steps are choosing the logo that would be analyzed. The result is there are twelve data that has meaning from different logo on Instagram. They all have different functions based on the logo. The conclusion is Instagram as a social media app that allows users to share photos and videos, add captions, edit filters, engage with others, and explore the world by using this application.
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Haynes, David, and Kelly Hughes. "55059 Developing the COmmuNity kNowlEdge to aCtion Toolkit (CONNECT) to reduce breast cancer screening disparities Let’s CONNECT." Journal of Clinical and Translational Science 5, s1 (March 2021): 73. http://dx.doi.org/10.1017/cts.2021.591.
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ABSTRACT IMPACT: Advanced spatial analysis techniques are used to target a community education intervention for Immigrant and African American women to increase breast cancer screening. OBJECTIVES/GOALS: We are addressing breast cancer screening disparities through the development of the COmmuNity kNowlEdge to aCtion Toolkit (CONNECT). CONNECT implements a mixed-methods approach using GIScience, community education, and social media to mitigate the impact of breast cancer screening disparities for Immigrant African and African American women. METHODS/STUDY POPULATION: We used advanced spatial analysis techniques, Spatially Adaptive Filters (SAF) to reveal mammography screening rates below the state level. SAF create screening maps of This new information allows lay health educators to identify and engage their communities in the Breast Cancer Champions program. We transformed and curated existing cancer educational material into culturally relevant educational training for lay health educators. Lay health educators participate in educational trainings and receive stipends for conducting formal and informal breast cancer education and screening events. RESULTS/ANTICIPATED RESULTS: We have identified four principles for designing culturally relevant education materials. 1.Visual representation of the community in materials2.Positive Framing3.Statistics and graphs should be minimal4.Appropriate reading level and minimizing jargonDue to COVID-19, our breast cancer champions are engaging with their community in socially responsible ways (i.e., engaging through social media, developing and placing community education flyers, community radio spots). Our social media campaign, which began in October has already attracted over 1000 followers. DISCUSSION/SIGNIFICANCE OF FINDINGS: Despite the disruption of COVID-19, our project continues reduce breast cancer screening disparities. We have developed and created culturally appropriate materials and are currently training Champions. By incorporating an online presence into our community outreach, we are increasing the ways we connect with our community.
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Świtalski, Piotr, and Mateusz Kopówka. "Machine Learning Methods in E-mail Spam Classification." Studia Informatica, no. 23 (December 22, 2020): 57–76. http://dx.doi.org/10.34739/si.2019.23.04.
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Increasing number of unwanted e-mails has influence on users’ security in the Internet. Today spam e-mails can store potential malicious messages which e.g. can redirect user to fake sites. These messages recently appeared in social media. Filtering of this content is important due to minimize financial and branding costs. Traditional methods of spam filtering cannot be sufficient for present threats. We required new methods for constructing more dependable and robust antispam filters. Machine learning recently becomes very popular technique in classification methods. It has been successfully used in spam classification. In this paper we present some methods of machine learning for spam detecting. We would also like to introduce ways to solve the spam classification problem. We show that these methods can be useful in classification of malicious messages. We also compared developed methods and presented results in the experimental section.
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Stegnii, O. G. "Empirical identification of the competence level of respondents in mass polls." Ukrainian Society 77, no. 2 (July 15, 2021): 124–39. http://dx.doi.org/10.15407/socium2021.02.124.
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Paper dwells upon the methodological problems of empirical identification of respondents’ competence in mass surveys as a factor of reliability of empirical sociological knowledge in public space. In modern conditions of public life digitalisation, comprehensive access to various information sources is seen as an information management skill and an element of media literacy, primarily the sensitivity to distorted media content. This competence forms the respondents’ factual knowledge about the survey subject. The subjects of public opinion are the respondents of national representative surveys. The discursive aspect of the empirical sociological knowledge reliability determines the relevance of considering the social context of public opinion formation. The focus is on the differences between public opinion and mass sentiment. Public opinion is based primarily on knowledge of social reality, while the mass attitude is mainly a situational emotional attitude to such a reality. The author analyses the influence of the subjects of the media space on the level of respondents’ competence, in particular, the effect of replacing respondents’ own opinion with the reproduction of the narrative of the relevant media content. As a result, a wrong worldview is formed with an inadequate assessment by respondents of the activities of individual political figures and events in national history. The existing imbalance between the articulation of interest in socio-political issues and the patterns of political activity is recognized. The importance of methodological procedures for identifying the level of respondents’ competence, factual knowledge of the subject of the survey is emphasized. Evaluation judgments should be based on the respondent’s awareness of the nature of the questions asked, which is checked using special filters. At the same time, the pollster-sociologist is responsible for both the tools, the correspondence of the survey subject to the level of respondents’ competence, and the meaningful interpretation of the published data. This requirement is getting more essential in mass surveys on sensitive socio-political issues.
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Werner, Martin. "GloBiMapsAI: An AI-Enhanced Probabilistic Data Structure for Global Raster Datasets." ACM Transactions on Spatial Algorithms and Systems 7, no. 4 (June 21, 2021): 1–24. http://dx.doi.org/10.1145/3453184.
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In the last decade, more and more spatial data has been acquired on a global scale due to satellite missions, social media, and coordinated governmental activities. This observational data suffers from huge storage footprints and makes global analysis challenging. Therefore, many information products have been designed in which observations are turned into global maps showing features such as land cover or land use, often with only a few discrete values and sparse spatial coverage like only within cities. Traditional coding of such data as a raster image becomes challenging due to the sizes of the datasets and spatially non-local access patterns, for example, when labeling social media streams. This article proposes GloBiMap, a randomized data structure, based on Bloom filters, for modeling low-cardinality sparse raster images of excessive sizes in a configurable amount of memory with pure random access operations avoiding costly intermediate decompression. In addition, the data structure is designed to correct the inevitable errors of the randomized layer in order to have a fully exact representation. We show the feasibility of the approach on several real-world datasets including the Global Urban Footprint in which each pixel denotes whether a particular location contains a building at a resolution of roughly 10m globally as well as on a global Twitter sample of more than 220 million precisely geolocated tweets. In addition, we propose the integration of a denoiser engine based on artificial intelligence in order to reduce the amount of error correction information for extremely compressive GloBiMaps.
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Eseke, Anthony. "Effects of Crisis News on Intercultural Tolerance: An International Comparative Study." Proceedings of the International Crisis and Risk Communication Conference 1 (March 2018): 34–37. http://dx.doi.org/10.30658/icrcc.2018.10.
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Human beings are “cultural animals who know and see and hear the world through socially constructed filters.” [1]. Fundamental to these filters are identities. Through the frames of identity, people often negotiate the dialectics of the ‘self’ with/against ‘the other’. The media in their reportage of conflicts and crisis produce and reinforce these dialectics. However, to what extent and directions do these reports influence social tolerance in the audience? This study therefore examined the effects of crisis/conflict news on otherness. The study defined otherness as the appraisal attitudes of tolerance, apathy, or intolerance towards other bodies based on identity categories. Consistent with media effects literature, the assumption was that the frames of crisis news were capable of stimulating measurable dissonances that influence tolerance/intolerance. The effects of two news reporting approaches were tested, ‘violence frames’ and ‘peace frames’. ‘Violence frame’ described news reporting styles that emphasize overt features of conflict such as the conflict arena – who threw the first stone; the fatalities; and the physical and human losses of the conflict. ‘Peace frame’, on the other hand, described news reportage that emphasize the roots and contexts of the conflict; and the constructive outcomes of the conflict by giving voice to all parties in the conflict. A 2 X 2 X 2 between-subjects factorial design surveyed the effects of religious crisis news story frames, victims’ religious identities, and the effects newspaper types on intercultural tolerance. The study found that in religious crisis news, the religious identity of victims significantly influenced the tolerance measures of the participants (F(4,722) = 14.505, p < .05). The religious identity (F(4,722) = 14.505, p < .05) and religiosity (F(8,657) = 3.340, p < .05) of the readers of the crisis news significantly moderated their measures of intercultural othering (tolerance). It was also found that the credibility perceptions towards the newspaper had significant effects on the tolerance levels of the readers (F(11,528) = 2.085, p < .05). The nationality (F(2,726) = 16.051, p < .05) and gender (F(3,719) = 3.037, p < .05) of readers of religious crisis news all had significant effects on intercultural othering. Crisis news frames had no significant effects on the intercultural othering of the participants. The findings of this study underscore the need for understanding the dynamic of crisis news in peace building and social tolerance.
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Kim, Yoonsang, Rachel Nordgren, and Sherry Emery. "The Story of Goldilocks and Three Twitter’s APIs: A Pilot Study on Twitter Data Sources and Disclosure." International Journal of Environmental Research and Public Health 17, no. 3 (January 30, 2020): 864. http://dx.doi.org/10.3390/ijerph17030864.
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Public health and social science increasingly use Twitter for behavioral and marketing surveillance. However, few studies provide sufficient detail about Twitter data collection to allow either direct comparisons between studies or to support replication. The three primary application programming interfaces (API) of Twitter data sources are Streaming, Search, and Firehose. To date, no clear guidance exists about the advantages and limitations of each API, or about the comparability of the amount, content, and user accounts of retrieved tweets from each API. Such information is crucial to the validity, interpretation, and replicability of research findings. This study examines whether tweets collected using the same search filters over the same time period, but calling different APIs, would retrieve comparable datasets. We collected tweets about anti-smoking, e-cigarettes, and tobacco using the aforementioned APIs. The retrieved tweets largely overlapped between three APIs, but each also retrieved unique tweets, and the extent of overlap varied over time and by topic, resulting in different trends and potentially supporting diverging inferences. Researchers need to understand how different data sources can influence both the amount, content, and user accounts of data they retrieve from social media, in order to assess the implications of their choice of data source.
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Wang, Yaqing, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, and Jing Gao. "Weak Supervision for Fake News Detection via Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 516–23. http://dx.doi.org/10.1609/aaai.v34i01.5389.
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Today social media has become the primary source for news. Via social media platforms, fake news travel at unprecedented speeds, reach global audiences and put users and communities at great risk. Therefore, it is extremely important to detect fake news as early as possible. Recently, deep learning based approaches have shown improved performance in fake news detection. However, the training of such models requires a large amount of labeled data, but manual annotation is time-consuming and expensive. Moreover, due to the dynamic nature of news, annotated samples may become outdated quickly and cannot represent the news articles on newly emerged events. Therefore, how to obtain fresh and high-quality labeled samples is the major challenge in employing deep learning models for fake news detection. In order to tackle this challenge, we propose a reinforced weakly-supervised fake news detection framework, i.e., WeFEND, which can leverage users' reports as weak supervision to enlarge the amount of training data for fake news detection. The proposed framework consists of three main components: the annotator, the reinforced selector and the fake news detector. The annotator can automatically assign weak labels for unlabeled news based on users' reports. The reinforced selector using reinforcement learning techniques chooses high-quality samples from the weakly labeled data and filters out those low-quality ones that may degrade the detector's prediction performance. The fake news detector aims to identify fake news based on the news content. We tested the proposed framework on a large collection of news articles published via WeChat official accounts and associated user reports. Extensive experiments on this dataset show that the proposed WeFEND model achieves the best performance compared with the state-of-the-art methods.
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Wandosell, Gonzalo, María Parra-Meroño, and Raul Baños. "Online Store Locator: An Essential Resource for Retailers in the 21st Century." Social Sciences 8, no. 2 (February 14, 2019): 53. http://dx.doi.org/10.3390/socsci8020053.
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Most retailers use their websites and social media to increase their visibility, while potential customers get information about these retailers using the Internet on electronic devices. Many papers have previously studied online marketing strategies used by retailers, but little attention has been paid to determine how these companies provide information through the Internet about the location and characteristics of their stores. This paper aims to obtain evidence about the inclusion of interactive web maps on retailers’ websites to provide information about the location of their stores. With this purpose, the store locator interactive tools of specialty retailers’ websites included in the report “Global Powers of Retailing 2015” are studied in detail using different procedures, such as frequency analysis and word clouds. From the results obtained, it was concluded that most of these firms use interactive maps to provide information about their offline stores, but today some of them still use non-interactive (static) maps or text format to present this information. Moreover, some differences were observed among the search filters used in the store locator services, according to the retailer’s specialty. These results provided insight into the important role of online store locator tools on retailers’ websites.
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Wang, Junzhang, Diwen Xue, and Karen Shi. "An Ensemble Framework for Spam Detection on Social Media Platforms." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 77–84. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1017.
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As various review sites grow in popularity and begin to hold more sway in consumer preferences, spam detection has become a burgeoning field of research. While there have been various attempts to resolve the issue of spam on the open web, specifically as it relates to reviews, there does not yet exist an adaptive and robust framework out there today. We attempt to address this issue in a domain-specific manner, choosing to apply it to Yelp.com first. We believe that while certain processes do exist to filter out spam reviews for Yelp, we have a comprehensive framework that can be extended to other applications of spam detection as well. Furthermore, our framework exhibited a robust performance even when trained on small datasets, providing an approach for practitioners to conduct spam detection when the available data is inadequate. To the best of our knowledge, our framework uses the most number of extracted features and models in order to finely tune our results. In this paper, we will show how various sets of online review features add value to the final performance of our proposed framework, as well as how different machine learning models perform regarding detecting spam reviews.
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DELICOTE, Radu. "From Agenda Setting to Melding: How Individuals Part of Certain On-line Groups Change Their Electoral Behavior amid the COVID-19 Pandemic." Journal of Media Research 13, no. 3 (38) (November 25, 2020): 95–111. http://dx.doi.org/10.24193/jmr.38.6.
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Do certain on-line groups influence the individual’s behavior? Moreover, do certain on-line groups tend to influence his or her electoral behavior amid the COVID-19 pandemic? This article aims to assess how or whether being a specific on-line group member (Facebook, WhatsApp, or the equivalent) could hold any influence regarding the individual’s trust in authorities, voting behavior, and if these groups can be a catalyst in this sense. The theoretical part of the article begins with explaining how public perception and its emotional-based elements work, proceeds with analyz- ing throughout agenda setting, priming, framing, second-level agenda-set- ting to agenda melding theories. The practical part of the article consists of explaining how the on-line groups influence the individual throughout sev- eral focus groups involving young politicians and people involved in daily politics. The overall context focuses on local elections in Romania. This ar- ticle proposes an explanation via aforementioned communication theories, on how mass media manages to shape the individuals’ set of opinions and eventually their behavior and how some individuals tend to change their beliefs influenced by certain groups. Mass media holds the ability to stir the public perception by using various techniques such as agenda-setting – by emphasizing different effects of the Corona crisis, priming – by setting several topics’ evaluation frameworks such as infection rates, hospitals’ situation, framing – by using specifics frames and filters to picture the cur- rent pandemic and even pushing individuals to meld their own sets of val- ues and doxies with the ones from familiar social groups. In other words, making them question whether it is safe to go and vote.
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Sabet, Safa, Moghtada Mobedi, Murat Barisik, and Akira Nakayama. "Numerical determination of interfacial heat transfer coefficient for an aligned dual scale porous medium." International Journal of Numerical Methods for Heat & Fluid Flow 28, no. 11 (November 5, 2018): 2716–33. http://dx.doi.org/10.1108/hff-03-2018-0097.
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Purpose Fluid flow and heat transfer in a dual scale porous media is investigated to determine the interfacial convective heat transfer coefficient, numerically. The studied porous media is a periodic dual scale porous media. It consists of the square rods which are permeable in an aligned arrangement. It is aimed to observe the enhancement of heat transfer through the porous media, which is important for thermal designers, by inserting intra-pores into the square rods. A special attention is given to the roles of size and number of intra-pores on the heat transfer enhancement through the dual scale porous media. The role of intra-pores on the pressure drop of air flow through porous media is also investigated by calculation and comparison of the friction coefficient. Design/methodology/approach To calculate the interfacial convective heat transfer coefficient, the governing equations which are continuity, momentum and energy equations are solved to determine velocity, pressure and temperature fields. As the dual scale porous structure is periodic, a representative elementary volume is generated, and the governing equations are numerically solved for the selected representative volume. By using the obtained velocity, pressure and temperature fields and using volume average definition, the volume average of aforementioned parameters is calculated and upscaled. Then, the interfacial convective heat transfer coefficient and the friction coefficient is numerically determined. The interparticle porosity is changed between 0.4 and 0.75, while the intraparticle varies between 0.2 and 0.75 to explore the effect of intra-pore on heat transfer enhancement. Findings The obtained Nusselt number values are compared with corresponding mono-scale porous media, and it is found that heat transfer through a porous medium can be enhanced threefold (without the increase of pressure drop) by inserting intraparticle pores in flow direction. For the porous media with low values of interparticle porosity (i.e. = 0.4), an optimum intraparticle porosity exists for which the highest heat transfer enhancement can be achieved. This value was found around 0.3 when the interparticle porosity was 0.4. Research limitations/implications The results of the study are interesting, especially from heat transfer enhancement point of view. However, further studies are required. For instance, studies should be performed to analyze the rate of the heat transfer enhancement for different shapes and arrangements of particles and a wider range of porosity. The other important parameter influencing heat transfer enhancement is the direction of pores. In the present study, the intraparticle pores are in flow direction; hence, the enhancement rate of heat transfer for different directions of pores must also be investigated. Practical implications The application of dual scale porous media is widely faced in daily life, nature and industry. The flowing of a fluid through a fiber mat, woven fiber bundles, multifilament textile fibers, oil filters and fractured porous media are some examples for the application of the heat and fluid flow through a dual scale porous media. Heat transfer enhancement. Social implications The enhancement of heat transfer is a significant topic that gained the attention of researchers in recent years. The importance of topic increases day-by-day because of further demands for downsizing of thermal equipment and heat recovery devices. The aim of thermal designers is to enhance heat transfer rate in thermal devices and to reduce their volume (and/or weight in some applications) by using lower mechanical power for cooling. Originality/value The present study might be the first study on determination of thermal transport properties of dual scale porous media yielded interesting results such as considerable enhancement of heat transfer by using proper intraparticle channels in a porous medium.
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Barman, Surasree Deb. "Which Cinderella You Want Your Daughter To Be?" SMART MOVES JOURNAL IJELLH 9, no. 1 (January 28, 2021): 146–57. http://dx.doi.org/10.24113/ijellh.v9i1.10887.
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Modern age has provided great opportunities in all domains of people's lives, but it has also generated unexpected obstacles; one of which is a negative change in the concept of beauty in society. The new emerging tendency of people to appear like a supermodel in social media and to draw the interest of others by adding beauty filters not only sends an ambiguous message about beauty, but also produces a false claim of appearance where teenagers like to 'fake it.' Beauty has always been the contentious subject in most fictional works and specially in fairy tales. Classic fairy tales portray their heroine as a beautiful being, a picture-perfect substance. They are celebrated not for their confidence or bravery, but for their outward appearance, clothing and jewels. Thus, every girl child has a fantasy of finding a Fairy God Mother who can turn her into a stunning, attractive princess and only then, they can meet their prince charming and happily ever after. But things are not the same, they don’t have God Mother or they don’t want to remain as a beautiful angel, rather, they want to be ordinary with full of courage and confidence to fight back to any evil. They don’t need any prince charming to fight for her rather they want to fight for their own. This paper will study the contrast between the classical and modern story of Cinderella in Children Literature and also explore how the concept of beauty is changing in the modern books and fairy tales.
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Felinska, Eleni Amelia, Zi-Wei Chen, Thomas Ewald Fuchs, Benjamin Otto, Hannes Götz Kenngott, Karl-Friedrich Kowalewski, Beat Peter Müller-Stich, and Felix Nickel. "Surgical Performance Is Not Negatively Impacted by Wearing a Commercial Full-Face Mask with Ad Hoc 3D-Printed Filter Connection as a Substitute for Personal Protective Equipment during the COVID-19 Pandemic: A Randomized Controlled Cross-Over Trial." Journal of Clinical Medicine 10, no. 3 (February 2, 2021): 550. http://dx.doi.org/10.3390/jcm10030550.
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(1) Background: During the COVID-19 pandemic, shortages in the supply of personal protective equipment (PPE) have become apparent. The idea of using commonly available full-face diving (FFD) masks as a temporary solution was quickly spread across social media. However, it was unknown whether an FFD mask would considerably impair complex surgical tasks. Thus, we aimed to assess laparoscopic surgical performance while wearing an FFD mask as PPE. (2) Methods: In a randomized-controlled cross-over trial, 40 laparoscopically naive medical students performed laparoscopic procedures while wearing an FFD mask with ad hoc 3D-printed connections to heat and moisture exchange (HME) filters vs. wearing a common surgical face mask. The performance was evaluated using global and specific Objective Structured Assessment of Technical Skills (OSATS) checklists for suturing and cholecystectomy. (3) Results: For the laparoscopic cholecystectomy, both global OSATS scores and specific OSATS scores for the quality of procedure were similar (Group 1: 25 ± 4.3 and 45.7 ± 12.9, p = 0.485, vs. Group 2: 24.1 ± 3.7 and 43.3 ± 7.6, p = 0.485). For the laparoscopic suturing task, the FFD mask group needed similar times to the surgical mask group (3009 ± 1694 s vs. 2443 ± 949 s; p = 0.200). Some participants reported impaired verbal communication while wearing the FFD mask, as it muffled the sound of speech, as well as discomfort in breathing. (4) Conclusions: FFD masks do not affect the quality of laparoscopic surgical performance, despite being uncomfortable, and may therefore be used as a substitute for conventional PPE in times of shortage—i.e., the global COVID-19 pandemic.
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Aramburu, María José, Rafael Berlanga, and Indira Lanza. "Social Media Multidimensional Analysis for Intelligent Health Surveillance." International Journal of Environmental Research and Public Health 17, no. 7 (March 28, 2020): 2289. http://dx.doi.org/10.3390/ijerph17072289.
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Background: Recent work in social network analysis has shown the usefulness of analysing and predicting outcomes from user-generated data in the context of Public Health Surveillance (PHS). Most of the proposals have focused on dealing with static datasets gathered from social networks, which are processed and mined off-line. However, little work has been done on providing a general framework to analyse the highly dynamic data of social networks from a multidimensional perspective. In this paper, we claim that such a framework is crucial for including social data in PHS systems. Methods: We propose a dynamic multidimensional approach to deal with social data streams. In this approach, dynamic dimensions are continuously updated by applying unsupervised text mining methods. More specifically, we analyse the semantics and temporal patterns in posts for identifying relevant events, topics and users. We also define quality metrics to detect relevant user profiles. In this way, the incoming data can be further filtered to cope with the goals of PHS systems. Results: We have evaluated our approach over a long-term stream of Twitter. We show how the proposed quality metrics allow us to filter out the users that are out-of-domain as well as those with low quality in their messages. We also explain how specific user profiles can be identified through their descriptions. Finally, we illustrate how the proposed multidimensional model can be used to identify main events and topics, as well as to analyse their audience and impact. Conclusions: The results show that the proposed dynamic multidimensional model is able to identify relevant events and topics and analyse them from different perspectives, which is especially useful for PHS systems.