To see the other types of publications on this topic, follow the link: Social Media Homophily.
Journal articles on the topic 'Social Media Homophily'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Social Media Homophily.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Hanusch, Folker, and Daniel Nölleke. "Journalistic Homophily on Social Media." Digital Journalism 7, no. 1 (February 16, 2018): 22–44. http://dx.doi.org/10.1080/21670811.2018.1436977.
Full text
2
Aiello, Luca Maria, Alain Barrat, Rossano Schifanella, Ciro Cattuto, Benjamin Markines, and Filippo Menczer. "Friendship prediction and homophily in social media." ACM Transactions on the Web 6, no. 2 (May 2012): 1–33. http://dx.doi.org/10.1145/2180861.2180866.
Full text
3
Bisgin, Halil, Nitin Agarwal, and Xiaowei Xu. "A study of homophily on social media." World Wide Web 15, no. 2 (August 19, 2011): 213–32. http://dx.doi.org/10.1007/s11280-011-0143-3.
Full text
4
Cinelli, Matteo, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, and Michele Starnini. "The echo chamber effect on social media." Proceedings of the National Academy of Sciences 118, no. 9 (February 23, 2021): e2023301118. http://dx.doi.org/10.1073/pnas.2023301118.
Full textAbstract:
Social media may limit the exposure to diverse perspectives and favor the formation of groups of like-minded users framing and reinforcing a shared narrative, that is, echo chambers. However, the interaction paradigms among users and feed algorithms greatly vary across social media platforms. This paper explores the key differences between the main social media platforms and how they are likely to influence information spreading and echo chambers’ formation. We perform a comparative analysis of more than 100 million pieces of content concerning several controversial topics (e.g., gun control, vaccination, abortion) from Gab, Facebook, Reddit, and Twitter. We quantify echo chambers over social media by two main ingredients: 1) homophily in the interaction networks and 2) bias in the information diffusion toward like-minded peers. Our results show that the aggregation of users in homophilic clusters dominate online interactions on Facebook and Twitter. We conclude the paper by directly comparing news consumption on Facebook and Reddit, finding higher segregation on Facebook.
5
Barbeisch, Victoria, and Archana Krishnan. "Applying Signaling Theory to Examine Credibility and Impression Management on Social Media." Journal of Communication Technology 5, no. 2 (August 22, 2022): 48–71. http://dx.doi.org/10.51548/joctec-2022-008.
Full textAbstract:
This study adapts and extends signaling theory to examine perceptions of credibility, gender, homophily, and impression management on social media. Specifically, the influence of different signal types – conventional, assessment, and strategic signals. A 2x3 experimental design was conducted to examine the effect of source gender and signal type on receiver perceptions of source and message credibility, homophily, and impressions of the source. Findings confirm that different signal types affect the perception of message and source credibility on social media. Concepts of gender and homophily were not impacted by signal types in this research. With the increase of image-oriented social media such as Instagram, these results demonstrate the sender's role in the person perception process. The role of signaling theory for strategic communication practices is addressed, and future theoretical directions are considered.
6
Ma, Long, Chei Sian Lee, and Dion Hoe-Lian Goh. "Understanding news sharing in social media." Online Information Review 38, no. 5 (July 7, 2014): 598–615. http://dx.doi.org/10.1108/oir-10-2013-0239.
Full textAbstract:
Purpose – The purpose of this paper is to draw from the diffusion of innovations theory to explore multi-levels of influences (i.e. individuals, networks, news attributes) on news sharing in social media. Design/methodology/approach – A survey was designed and administered to 309 respondents. Structural equation modelling analysis was conducted to examine the three levels of influential factors. These included self-perceptions of opinion leadership and seeking at the individual level, perceived tie strength and homophily at the network level, and finally, perceived news credibility and news preference at the news attribute level. Findings – The results revealed that the influences of self-perceptions of opinion leadership, perceived tie strength in online networks and perceived preference of online news had significant effects on users’ news sharing intention in social media. However, self-perceptions of opinion seeking, homophily, and perceived news credibility were not significant. Originality/value – This is one of the first studies on news sharing in social media that focus on diverse levels of influential factors. In particular, the research suggests the viability of the diffusion of innovations theory to explain this pervasive global phenomenon. Further, the influential factors identified may help to stimulate active participation in social media platforms and ultimately enhance the sustainability of these platforms.
7
Suprawan, Lokweetpun, and Sasipa Pojanavatee. "What causes social media users to engage and mimic virtual influencers? The role of self-congruity." Innovative Marketing 18, no. 4 (December 13, 2022): 148–60. http://dx.doi.org/10.21511/im.18(4).2022.13.
Full textAbstract:
Influencer marketing has been widely utilized in marketing communication. With the growing interest in virtual influencers, this study aims to investigate why social media users would interact with virtual influencers. The research model was developed based on the self-congruity theory. The data were obtained by questionnaires distributed to social media users using judgmental sampling (respondents were above 18 years old and actively used Instagram within the past six months). The questionnaire was posted on social media, and 230 responses were collected and analyzed using a covariance-based structural equation. Influencer-brand fit was found to have a weak direct effect on engagement (γ = 0.158, p < 0.05), but insignificant direct effect on mimicry desire (γ = 0.160, p > 0.05). Value homophily significantly affects both engagement and mimicry desire directly (β = 0.338 and β = 0.622, p < 0.01). Moreover, value homophily was found to fully mediate the virtual influencer-brand fit/mimicry desire relationship (B = 0.546, p < 0.01) and partially mediate the relationship of virtual influencer-brand fit/engagement (B = 0.229, p < 0.01). However, the mediating effect of mimicry desire on the virtual influencer-brand fit/engagement relationship was found to be non-significant (B = 0.065, p > 0.05). This study contributes to influencer marketing by highlighting value homophily as the most significant factor explaining why consumers respond to a virtual influencer when used as a message source in marketing communication.
8
Freelon, Deen, Marc Lynch, and Sean Aday. "Online Fragmentation in Wartime." ANNALS of the American Academy of Political and Social Science 659, no. 1 (April 9, 2015): 166–79. http://dx.doi.org/10.1177/0002716214563921.
Full textAbstract:
Theorists have long predicted that like-minded individuals will tend to use social media to self-segregate into enclaves and that this tendency toward homophily will increase over time. Many studies have found moment-in-time evidence of network homophily, but very few have been able to directly measure longitudinal changes in the diversity of social media users’ habits. This is due in part to a lack of appropriate tools and methods for such investigations. This study takes a step toward developing those methods. Drawing on the complete historical record of public retweets posted between January 2011 and August 2013, we propose and justify a partial method of measuring increases or decreases in network homophily. We demonstrate that Twitter network communities that focused on Syria are in general highly fragmented and homophilous; however, only one of the nine detected network communities that persisted over time exhibited a clear increase in homophily.
9
Jiang, Tianji. "Studying opinion polarization on social media." Social Work and Social Welfare 4, no. 2 (2022): 232–41. http://dx.doi.org/10.25082/swsw.2022.02.003.
Full textAbstract:
Opinion polarization on social media raises a lot of concerns today. In this study, the author provides a systematic review of publications about the issues since 2013 to show the achievements in the existing research on the topic, to sort out the relevant knowledge, and to provide some inspirations for future research in this area. This paper finds that opinion polarization on social media is initiated by three patterns of factors: increasing the homophily in discussions, increasing conflict in social media discussions, and facilitating the spread of misinformation. It also summarizes the existing findings on how to detect and measure opinion polarization in social media, and comes up with opportunities for further researches on this topic.
10
Suwandee, Sasithorn, Jiraporn Surachartkumtonkun, and Aurathai Lertwannawit. "EWOM firestorm: young consumers and online community." Young Consumers 21, no. 1 (September 20, 2019): 1–15. http://dx.doi.org/10.1108/yc-03-2019-0982.
Full textAbstract:
Purpose This study aims to examine the influence of homophily in an online community and the effect of electronic word of mouth (eWOM) consensus on young consumers’ attitudes. Design/methodology/approach This study implemented an experimental research design using a two (low/high homophily) × two (low/high eWOM consensus) mixed factorial design. This study explores young consumers’ changes in brand attitude after encountering negative eWOM. Findings The results indicate that a high consensus of negative eWOM among online community members leads to significant changes in attitude, while a low consensus of negative eWOM does not produce such an effect. Negative eWOM from either high or low homophilous sources produces significant changes in attitude. There are significant attitude changes when a strong consensus of negative eWOM is received from a source with a high level of homophily. Research limitations/implications Service failures in offline service settings lead to the dissemination of negative eWOM on social media. To handle and prevent social media crises, researchers should understand online crises antecedents relating to information characteristics i.e. eWOM consensus and characteristics of online community members to evaluate the crises impact. Brands should monitor tone and dialogue of online community member on social media to remedy and diminish any damage done to their brand image from negative eWOM. Originality/value This study contributes to the application of social network theory by understanding the role of nodes on negative eWOM effect in social media.
11
Muda, Mazzini, and Muhammad Iskandar Hamzah. "Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention." Journal of Research in Interactive Marketing 15, no. 3 (June 15, 2021): 441–59. http://dx.doi.org/10.1108/jrim-04-2020-0072.
Full textAbstract:
PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.
12
Vitaloka, Ni Made Dhiar Wulan, and Yeshika Alversia. "Identifying Aspects toward EWOM Credibility and Source of Trustworthiness." GATR GLOBAL JOURNAL OF BUSINESS AND SOCIAL SCIENCE REVIEW 7, no. 3 (September 26, 2019): 166–77. http://dx.doi.org/10.35609/gjbssr.2019.7.3(1).
Full textAbstract:
Objective - Nowadays, people became conscious of their outward appearance and use make-up and skincare to enhance their appearance. The trends in personal care are influenced by the advancement of social media. People use social media to share their opinion, thoughts, and experience about personal care. This study is purposed to analyze aspects such as homophily, authority, and interestingness towards purchase intention as independent aspects with EWOM credibility and source of trustworthiness as a mediating variable. Methodology/Technique – This study uses purposive sampling with 485 respondent samples from Indonesia and uses a method of scaling and structural equation model to see the relationship between variables. Finding and Novelty - The result of this research implies that homophily, authority, and interestingness has a significant effect on the source of trustworthiness. Furthermore, authority and source of trustworthiness has a significant impact on EWOM credibility. EWOM credibility is having a substantial impact on purchase intention. It is also found that homophily, authority, and interestingness strengthen EWOM credibility through a source of trustworthiness. This finding concludes that the source of trustworthiness works to strengthen independent aspects of EWOM credibility rather than depending on EWOM credibility itself. Type of Paper: Empirical. Keywords: Homophily; Authority; Interestingness; Purchase Intention; Source of Trustworthiness; EWOM credibility; Personal care. Reference to this paper should be made as follows: Vitaloka, N.M.D.W; Alversia Y. 2019. Identifying Aspects toward EWOM Credibility and Source of Trustworthiness, Global J. Bus. Soc. Sci. Review 7 (3): 166 – 177. https://doi.org/10.35609/gjbssr.2019.7.3(1) JEL Classification: M31, M39.
13
Fincham, Kelly. "Exploring Political Journalism Homophily on Twitter: A Comparative Analysis of US and UK Elections in 2016 and 2017." Media and Communication 7, no. 1 (March 21, 2019): 213–24. http://dx.doi.org/10.17645/mac.v7i1.1765.
Full textAbstract:
The tendency of political journalists to form insular groups or packs, chasing the same angles and quoting the same sources, is a well-documented issue in journalism studies and has long been criticized for its role in groupthink and homogenous news coverage. This groupthink attracted renewed criticism after the unexpected victory of Republican candidate Donald Trump in the 2016 US presidential election as the campaign coverage had indicated a likely win by the Democratic candidate Hillary Clinton. This pattern was repeated in the 2017 UK election when the Conservative party lost their majority after a campaign in which the news coverage had pointed to an overall Tory victory. Such groupthink is often attributed to homophily, the tendency of individuals to interact with those most like them, and while homophily in the legacy media system is well-studied, there is little research around homophily in the hybrid media system, even as social media platforms like Twitter facilitate the development—and analysis—of virtual political journalism packs. This study, which compares Twitter interactions among US and UK political reporters in the 2016 and 2017 national elections, shows that political journalists are overwhelmingly more likely to use Twitter to interact with other journalists, particularly political journalists, and that their offline tendencies to form homogenous networks have transferred online. There are some exceptions around factors such as gender, news organizations and types of news organization—and important distinctions between types of interactions—but overall the study provides evidence of sustained homophily as journalists continue to normalize Twitter.
14
Dalen, Håvard Bergesen, and Ørnulf Seippel. "Friends in Sports: Social Networks in Leisure, School and Social Media." International Journal of Environmental Research and Public Health 18, no. 12 (June 8, 2021): 6197. http://dx.doi.org/10.3390/ijerph18126197.
Full textAbstract:
Young athletes value their social relations in sports, and these social relations can have consequences when it comes to joining, continuing, and quitting sports. Yet the important question of how social relations in sports develop has not yet been adequately answered. Hence, we investigated how athletes’ social relations in sports depend on social relations outside of sports: in leisure, school, and social media. A total of 387 athletes (aged 16–19) from 30 Norwegian sports groups completed a survey on electronic tablets. We asked how social relations in leisure, school, and social media—through the social mechanisms of contact, homophily, and contagion—influenced social relations in sports. We also controlled for the effect of exercise frequency and duration (years) of contact in sports. Exponential random graph modelling (ERGM) analyses showed that first and foremost, relations from social media and leisure, but also school networks and exercise frequency, influence sports networks. This study shows that social relations in sports are diverse and depend on social relations outside sports. We discuss how this has ‘counterintuitive’ consequences for sports participation, particularly the importance of supporting athletes’ social relations outside of sports for the strengthening of social relations within sports when addressing challenges concerning recruitment, continuation, and dropout from sports.
15
Wukich, Clayton, Qian Hu, and Michael D. Siciliano. "Cross-Sector Emergency Information Networks on Social Media: Online Bridging and Bonding Communication Patterns." American Review of Public Administration 49, no. 7 (July 9, 2019): 825–39. http://dx.doi.org/10.1177/0275074019861701.
Full textAbstract:
A key challenge for public administrators is facilitating communication among diverse actors. This article illustrates the information seeking and sharing preferences of notable emergency information suppliers on social media who operate primarily within four states. Through homophily and brokerage analyses, two basic communication preferences were noted: (a) bridging patterns in which actors interact with diverse sources of information, and (b) bonding patterns in which actors rely on sources from similar backgrounds. Both provide value for practitioners. A crucial task, then, is to balance those approaches and adjust to the shifting demands of the external environment.
16
AYAR ŞENTÜRK, Hayat. "HOW DOES PARASOCIAL INTERACTION DEVELOP? WHAT ARE THE EFFECTS? : A QUANTITATIVE RESEARCH STUDY." IEDSR Association 7, no. 18 (March 18, 2022): 12–23. http://dx.doi.org/10.46872/pj.491.
Full textAbstract:
As a fascinating concept, although parasocial interaction (PSI) has been studied extensively in both the traditional and digital media, studies have usually focused on the operationalization, antecedents or effects of the concept. In this regard, there is a need for studies focusing the antecedents and consequences of PSI from holistic view, and thus contribute to broader understanding more accurately how PSI develop. This study aims to find strong empirical evidence on antecedents and effects of PSI. In this study, we propose a model that assesses the influence of physical and social attractiveness and attitude homophily of contestant on PSI; and PSI effects on audience commitment. By studying 689 audience, we found that i) social attractiveness, physical attractiveness and attitude homophily positively influence PSI, and ii) PSI positively influences audience commitment.
17
Toloknev, K. A. "BOTS LEADING THE PEOPLE? MODEL OF SOCIAL BOT'S IMPACT ON POLITICAL MOBILIZATION AND DEMOBILIZATION IN SOCIAL MEDIA." Вестник Пермского университета. Политология 15, no. 4 (2021): 16–29. http://dx.doi.org/10.17072/2218-1067-2021-4-16-29.
Full textAbstract:
Bots (automated accounts) in social media have gained more attention from social scientists in recent years. The former are employed by both governments and civil society groups in order to manipulate online political discussion in social media. Nevertheless, there is no conclusive evidence on their effectiveness as a tool to bolster (mobilize) or suppress (demobilize) political discussion in social media. This paper presents a novel agent-based model, capable of simulating bot deployment as both mobilization and demobilization tool. Results of the simulations reveal three major effects of bot deployment. First, bots are more effective at demobilizing opponents than mobilizing supporters. Second, transmitting radical opinions via bots may backfire, demobilizing a certain group rather than mobilizing it. Third, the effectiveness of social bots is dependent on homophily: more homophilous networks are less susceptible to bots’ influence. Results of modeling may both advance our estimations of bots’ effectiveness and serve as a tool to generate potential hypotheses for future empirical research.
18
Wang, Xiaohui, and Yunya Song. "Viral misinformation and echo chambers: the diffusion of rumors about genetically modified organisms on social media." Internet Research 30, no. 5 (June 22, 2020): 1547–64. http://dx.doi.org/10.1108/intr-11-2019-0491.
Full textAbstract:
PurposeThe spread of rumors on social media has caused increasing concerns about an under-informed or even misinformed public when it comes to scientific issues. However, researchers have rarely investigated their diffusion in non-western contexts. This study aims to systematically examine the content and network structure of rumor-related discussions around genetically modified organisms (GMOs) on Chinese social media.Design/methodology/approachThis study identified 21,837 rumor-related posts of GMOs on Weibo, one of China's most popular social media platforms. An approach combining social network analysis and content analysis was employed to classify user attitudes toward rumors, measure the level of homophily of their attitudes and examine the nature of their interactions.FindingsThough a certain level of homophily existed in the interaction networks, referring to the observed echo chamber effect, Weibo also served as a public forum for GMO discussions in which cross-cutting ties between communities existed. A considerable amount of interactions emerged between the pro- and anti-GMO camps, and most of them involved providing or requesting information, which could mitigate the likelihood of opinion polarization. Moreover, this study revealed the declining role of traditional opinion leaders and pointed toward the need for alternative strategies for efficient fact-checking.Originality/valueIn general, the findings of this study suggested that microblogging platforms such as Weibo can function as public forums for discussing GMOs that expose users to ideologically cross-cutting viewpoints. This study stands to provide important insights into the viral processes of scientific rumors on social media.
19
Zubiaga, Arkaitz, Bo Wang, Maria Liakata, and Rob Procter. "Political Homophily in Independence Movements: Analyzing and Classifying Social Media Users by National Identity." IEEE Intelligent Systems 34, no. 6 (November 1, 2019): 34–42. http://dx.doi.org/10.1109/mis.2019.2958393.
Full text
20
Ylä-Anttila, Tuukka. "Social Media and the Emergence, Establishment and Transformation of the Right-Wing Populist Finns Party." Populism 3, no. 1 (February 3, 2020): 121–39. http://dx.doi.org/10.1163/25888072-02021043.
Full textAbstract:
Abstract This paper assesses the significance of social media for the Finns Party and the related anti-immigration movement from 2007 to the present day, in light of theories on the relationship of populism and social media. These include people-centrism, disenfranchisement, homophily, the attention economy, media elitism, and (lack of) communicative resources. Tracing the historical trajectory of the Finnish anti-immigration movement and the Finns Party, I argue that the Finnish case is an example of a movement being born online and using social media to build a political identity and strategically gain influence through a party, eventually transforming it from the inside out—rather than the party strategically using social media for its purposes, as is sometimes assumed in party-centric literature. While acknowledging the continued importance of parties, research on contemporary populist movements must take into account the political engagement of citizens facilitated by online media.
21
Mikheev, E. A., and T. A. Nestik. "Disinformation in social networks: current state and perspective research directions." Social Psychology and Society 9, no. 2 (2018): 5–20. http://dx.doi.org/10.17759/sps.2018090201.
Full textAbstract:
Studying problem of disinformation psychology mechanisms (manipulation of in- formation process), including developing in social psychology way — psychology ma- nipulation in social and mass media. Pay attention such psychology effects as mo- tivated reasoning, that confirms preexisting beliefs, normative influence, homophily, polarization (echo-cameras), negative collective emotions. There are not only theoreti- cal discussion, but also Russian and foreigner psychology, sociology, politology, PR and marketing researches. The ways for counteracting online astroturfing are discussed. Also there are still many psychological factors to be clarified with regard enhanced informal-psychology protection identity, such as, connection between attitude toward disinformation and values, trust, anxiety, social identities and level of social capital.
22
Rowe, Matthew, and Hassan Saif. "Mining Pro-ISIS Radicalisation Signals from Social Media Users." Proceedings of the International AAAI Conference on Web and Social Media 10, no. 1 (August 4, 2021): 329–38. http://dx.doi.org/10.1609/icwsm.v10i1.14716.
Full textAbstract:
The emergence and actions of the so-called Islamic State of Iraq and the Levant (ISIL/ISIS) has received widespread news coverage across the World, largely due to their capture of large swathes of land across Syria and Iraq, and the publishing of execution and propaganda videos. Enticed by such material published on social media and attracted to the cause of ISIS, there have been numerous reports of individuals from European countries (the United Kingdom and France in particular) moving to Syria and joining ISIS. In this paper our aim to understand what happens to Europe-based Twitter users before, during, and after they exhibit pro-ISIS behaviour (i.e. using pro-ISIS terms, sharing content from pro-ISIS accounts), characterising such behaviour as radicalisation signals. We adopt a data-mining oriented approach to computationally determine time points of activation (i.e. when users begin to adopt pro-ISIS behaviour), characterise divergent behaviour (both lexically and socially), and quantify influence dynamics as pro-ISIS terms are adopted. Our findings show that: (i) of 154K users examined only 727 exhibited signs of pro-ISIS behaviour and the vast majority of those 727 users became \emph{activated} with such behaviour during the summer of 2014 when ISIS shared many beheading videos online; (ii) users exhibit significant behaviour divergence around the time of their activation, and; (iii) social homophily has a strong bearing on the diffusion process of pro-ISIS terms through Twitter.
23
Ao, Lie, Rohit Bansal, Nishita Pruthi, and Muhammad Bilawal Khaskheli. "Impact of Social Media Influencers on Customer Engagement and Purchase Intention: A Meta-Analysis." Sustainability 15, no. 3 (February 2, 2023): 2744. http://dx.doi.org/10.3390/su15032744.
Full textAbstract:
This research aims at providing a meta-analysis of empirical findings of the literature on the characteristics of social media influencers on customer engagement and purchase intention. For this purpose, researchers derived eight social media influencers’ characteristics, i.e., homophily, expertise, trustworthiness, credibility, congruence with the product, entertainment value, informative value, and attractiveness. The current study synthesizes 176 effect sizes derived from 62 individual studies, and 22,554 individuals act as an aggregate sample. Results revealed that these characteristics have a moderate to high correlation with customer engagement and purchase intention. The entertainment value of social media influencers has the strongest association with customer engagement among all the attributes studied in this analysis. It also concluded that the credibility of influencers impacts purchase intention more than any other attribute. This work provides a novel approach to reducing the heterogeneity in influencer marketing research by empirically specifying the directions of relationships and the extent of the effect of these relationships.
24
Ilham, Romi, and Cantika Sari Siregar. "Can Instagram convince information to users?" Jurnal Manajemen Teknologi 20, no. 2 (2021): 117–33. http://dx.doi.org/10.12695/jmt.2021.20.2.2.
Full textAbstract:
Abstract. In the age of social media, everyone can provide opinions via electronic word of mouth (eWOM). This experiment explores how users adopt culinary information on social media, especially Instagram, as one social media platform that has many users in Indonesia. With the many opinions that develop on social media, a phenomenon appears where users must sort out the information of choosing food products. The main objective of this study was to investigate the effect of source credibility and information quality on information adoption mediated attitudes towards information and information usefulness with the object of research on food products — analysis of the research model using partial least squares on 368 valid questionnaires distributed in East Java-Bali. The literature review and analytical techniques show that the source's credibility and the quality of information positively affect the adoption of information mediated attitudes towards information and the usefulness of the information. The novelty of research on the development of information adoption models is the complex source credibility variables, including expertise, trustworthiness, attractiveness, and homophily. It is an electronic persuasion that culinary business people need in the current era of social media. Keywords: E-wom, source credibility, information adoption, instagram, culinary.
25
Gu, Bin, Prabhudev Konana, Rajagopal Raghunathan, and Hsuanwei Michelle Chen. "Research Note—The Allure of Homophily in Social Media: Evidence from Investor Responses on Virtual Communities." Information Systems Research 25, no. 3 (September 2014): 604–17. http://dx.doi.org/10.1287/isre.2014.0531.
Full text
26
Hristova, Desislava, Mirco Musolesi, and Cecilia Mascolo. "Keep Your Friends Close and Your Facebook Friends Closer: A Multiplex Network Approach to the Analysis of Offline and Online Social Ties." Proceedings of the International AAAI Conference on Web and Social Media 8, no. 1 (May 16, 2014): 206–15. http://dx.doi.org/10.1609/icwsm.v8i1.14544.
Full textAbstract:
Social media allow for an unprecedented amount of interaction between people online. A fundamental aspect of human social behavior, however, is the tendency of people to associate themselves with like-minded individuals, forming homogeneous social circles both online and offline. In this work, we apply a new model that allows us to distinguish between social ties of varying strength, and to observe evidence of homophily with regards to politics, music, health, residential sector and year in college, within the online and offline social network of 74 college students. We present a multiplex network approach to social tie strength, here applied to mobile communication data — calls, text messages, and co-location, allowing us to dimensionally identify relationships by considering the number of communication channels utilized between students. We find that strong social ties are characterized by maximal use of communication channels, while weak ties by minimal use. We are able to identify 75% of close friendships, 90% of weaker ties, and 90% of Facebook friendships as compared to reported ground truth. We then show that stronger ties exhibit greater profile similarity than weaker ones. Apart from high homogeneity in social circles with respect to political and health aspects, we observe strong homophily driven by music, residential sector and year in college. Despite Facebook friendship being highly dependent on residence and year, exposure to less homogeneous content can be found in the online rather than the offline social circles of students, most notably in political and music aspects.
27
Purwandari, Betty, Arief Ramadhan, Kongkiti Phusavat, Achmad Nizar Hidayanto, Adyssa Fairuz Husniyyah, Ferdinand Hanif Faozi, Nicolas Henry Wijaya, and Rifqi Hilman Saputra. "The Effect of Interaction between Followers and Influencers on Intention to Follow Travel Recommendations from Influencers in Indonesia Based on Follower-Influencer Experience and Emotional Dimension." Information 13, no. 8 (August 11, 2022): 384. http://dx.doi.org/10.3390/info13080384.
Full textAbstract:
Social media has become a very commonplace way for many people to have social interactions. The role of social media has changed from what was originally only a way to bridge social interactions, to becoming a business tool in various industries, one of which is the tourism industry. The interaction between social media users can create new ways to increase public awareness of existing tourist objects. One way to achieve that goal is by utilizing social media influencers. This study aims to identify the factors that influence the intention of the followers to follow the travel recommendations given by the influencer. This study uses the theory of follower-influencer experience and the theory of emotional dimensions, as well as their effect on the level of commitment and intention to follow the recommendation. This research was conducted by distributing surveys through social media and we managed to obtain a total of 203 valid respondents. The results of the study were analyzed using structural equation modeling (SEM), which showed that information experience and homophily experience had a significant effect on pleasure, arousal, and dominance. Pleasure and dominance have a significant effect on commitment, and commitment has a significant effect on the intention to follow the recommendation.
28
Peterson, Paul Silas. "The Public Sphere of Democracy and the Wisdom Tradition." Interdisciplinary Journal for Religion and Transformation in Contemporary Society 8, no. 1 (July 7, 2022): 133–58. http://dx.doi.org/10.30965/23642807-bja10041.
Full textAbstract:
Abstract The essay addresses contemporary trends in modern democracy, especially focusing on the transformation of the public sphere. It seeks to answer the following question: how can we strengthen ideologically diverse spaces of public discourse today in light of the social trends toward homophily and echo chambers? Specifically, it addresses the way in which modern political discourse has been transformed by social media and broader social and economic trends. Furthermore, it raises questions about the future challenges of discourse ethics and ideal conceptions of overlapping consensus in our contemporary context of pluralism. The role of the media in this broad public sphere is also addressed. An ideal-type conception of the wisdom tradition, one which can strengthen the channels of communication, is offered as a response to these trends. It is a pattern of thought capable of embracing the ambiguity.
29
Cinus, Federico, Marco Minici, Corrado Monti, and Francesco Bonchi. "The Effect of People Recommenders on Echo Chambers and Polarization." Proceedings of the International AAAI Conference on Web and Social Media 16 (May 31, 2022): 90–101. http://dx.doi.org/10.1609/icwsm.v16i1.19275.
Full textAbstract:
The effects of online social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our societies. Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting the information and the opinions users are exposed to. In this paper, we propose a novel framework to assess the effect of people recommenders on the evolution of opinions. Our proposal is based on Monte Carlo simulations combining link recommendation and opinion-dynamics models. In order to control initial conditions, we define a random network model to generate graphs with opinions, with tunable amounts of modularity and homophily. Finally, we join these elements into a methodology able to study the causal relationship between the recommender system and the echo chamber effect. Our method can also assess if such relationships are statistically significant. We also show how such a framework can be used to measure, by means of simulations, the impact of different intervention strategies. Our thorough experimentation shows that people recommenders can in fact lead to a significant increase in echo chambers. However, this happens only if there is considerable initial homophily in the network. Also, we find that if the network already contains echo chambers, the effect of the recommendation algorithm is negligible. Such findings are robust to two very different opinion dynamics models, a bounded confidence model and an epistemological model.
30
Al-Emadi, Fatima Abdulaziz, and Imene Ben Yahia. "Ordinary celebrities related criteria to harvest fame and influence on social media." Journal of Research in Interactive Marketing 14, no. 2 (May 14, 2020): 195–213. http://dx.doi.org/10.1108/jrim-02-2018-0031.
Full textAbstract:
Purpose The study aims to explore why consumers engage with ordinary celebrities on social media by identifying the influential characteristics that have engaged followers and have led to opinion leadership on visual platforms, such as Instagram and Facebook. Design/methodology/approach Qualitative data were collected from 32 social media users following at least one ordinary celebrity on Instagram and Facebook in Qatar and Tunisia. Findings The findings of this study highlight five main characteristics that lead to fame and opinion leadership on social media visual platforms: credibility, storytelling and content quality, fit with the platform, Actual and aspired image homophily and consistency. Research limitations/implications This research is, to the best of the authors’ knowledge, one of the first studies that highlight the features determining opinion leadership on visual platforms such as Instagram and Facebook. Second, the results of the study highlight some features that distinguish ordinary celebrities from traditional established celebrities. Practical implications The findings of this research represent a guideline for effective influential marketing development. Based on the results, recommendations are provided for companies, influencers and social media users who aspire to become influencers. Originality/value This research, to the best of the authors’ knowledge, is among the first to shed light on opinion leadership through ordinary celebrities on visual social media platforms, such as Facebook and Instagram, and thus, adds new insights to the area of social media marketing.
31
Yang, Yi, and Jacob Eisenstein. "Overcoming Language Variation in Sentiment Analysis with Social Attention." Transactions of the Association for Computational Linguistics 5 (December 2017): 295–307. http://dx.doi.org/10.1162/tacl_a_00062.
Full textAbstract:
Variation in language is ubiquitous, particularly in newer forms of writing such as social media. Fortunately, variation is not random; it is often linked to social properties of the author. In this paper, we show how to exploit social networks to make sentiment analysis more robust to social language variation. The key idea is linguistic homophily: the tendency of socially linked individuals to use language in similar ways. We formalize this idea in a novel attention-based neural network architecture, in which attention is divided among several basis models, depending on the author’s position in the social network. This has the effect of smoothing the classification function across the social network, and makes it possible to induce personalized classifiers even for authors for whom there is no labeled data or demographic metadata. This model significantly improves the accuracies of sentiment analysis on Twitter and on review data.
32
Tukachinsky, Riva, Nathan Walter, and Camille J. Saucier. "Antecedents and Effects of Parasocial Relationships: A Meta-Analysis." Journal of Communication 70, no. 6 (November 10, 2020): 868–94. http://dx.doi.org/10.1093/joc/jqaa034.
Full textAbstract:
Abstract The current meta-analysis synthesizes four decades of research (k = 120) on the antecedents and effects of parasocial relationships (PSRs). In line with contemporary theorization of PSRs as an extension of, rather than as a substitution for social relationships, the meta-analysis does not find a significant relationship between social deficiencies and PSRs. PSRs are also strongly correlated with factors that facilitate interpersonal bonds (e.g., homophily), other forms of involvement (e.g., identification, transportation), and persuasive outcomes. Furthermore, the analysis validates the theoretical distinction between PSRs and parasocial interactions (PSIs) revealing only a moderate correlation between the two constructs. Likewise, while PSRs and PSIs did not differ with respect to effects on persuasive outcomes, PSRs emerge as a stronger predictor of media involvement. The findings are discussed in relation to theoretical models of media involvement and effects
33
Mourchid, Fatima, and Mohamed El Koutbi. "LBRW." International Journal of Information Systems and Social Change 6, no. 3 (July 2015): 15–34. http://dx.doi.org/10.4018/ijissc.2015070102.
Full textAbstract:
Location-based social networks (LBSNs) have witnessed a great expansion as an attractive form of social media. LBSNs allow users to “check-in” at geographical locations and share this information with friends. Indeed, with the spatial, temporal and social aspects of user patterns provided by LBSNs data, researchers have a promising opportunity for understanding human mobility dynamics, with the purpose of designing new generation mobile applications, including context-aware advertising and city-wide sensing applications. In this paper, the authors introduce a learning based random walk model (LBRW) combining user interests and “mobility homophily” for location recommendation in LBSNs. These properties are observed from a real-world Location-Based Social Networks (LBSNs) dataset. The authors present experimental evidence that validates LBRW and demonstrates the power of these inferred properties in improving location recommendation performance.
34
Segado-Boj, Francisco, and Elias Said-Hung. "Alternative approaches to news: the role of media distrust, perceived network homophily, and interests in news topics." Revista de Comunicación 20, no. 2 (September 15, 2021): 355–73. http://dx.doi.org/10.26441/rc20.2-2021-a19.
Full textAbstract:
This study focuses on three contemporary alternative users' attitudes to news previously detetected in the literature: 'News finds me', 'The information is out there' and 'I don't know what to believe. It analyzes the role of users' media distrust and social network homophily perception as predictors of each considered attitude. Secondly, the study also considers the effect of the mentioned attitude on user's interests in different news topics. Last, it compares the reciprocal influence of the aforementioned attitudes among them. A survey (n = 279) was developed among Spanish Facebook users. Data was analysed through multiple regression test. Results show that media distrust positively predicted “The Information Is Out There” but was not relevant in the cases of “News Finds Me” and “I Don’t Know What To Believe”. “News Finds Me” negatively predicted interest in hard news (domestic, international politics, and economy), and “The Information Is Out There” predicted interest in lifestyle news and stories about celebrities. Perceived network homophily was not predicted by any of the observed attitudes. A reciprocal influence was detected between “The Information Is Out There” and “News Finds Me” but no influence was identified from or to “I Don’t Know What To Believe”. We conclude that “The Information Is Out There” may have the same negative effects on political knowledge and participation that “News Finds Me” as it drives users away from hard news item and towards softer topics.
35
Macskassy, Sofus, and Matthew Michelson. "Why do People Retweet? Anti-Homophily Wins the Day!" Proceedings of the International AAAI Conference on Web and Social Media 5, no. 1 (August 3, 2021): 209–16. http://dx.doi.org/10.1609/icwsm.v5i1.14110.
Full textAbstract:
Twitter and other microblogs have rapidly become a significant means by which people communicate with the world and each other in near realtime. There has been a large number of studies surrounding these social media, focusing on areas such as information spread, various centrality measures, topic detection and more. However, one area which has not received much attention is trying to better understand what information is being spread and why it is being spread. This work looks to get a better understanding of what makes people spread information in tweets or microblogs through the use of retweeting. Several retweet behavior models are presented and evaluated on a Twitter data set consisting of over 768,000 tweets gathered from monitoring over 30,000 users for a period of one month. We evaluate the proposed models against each user and show how people use different retweet behavior models. For example, we find that although users in the majority of cases do not retweet information on topics that they themselves Tweet about as or from people who are "like them" (hence anti-homophily), we do find that models which do take homophily, or similarity, into account fits the observed retweet behaviors much better than other more general models which do not take this into account. We further find that, not surprisingly, people's retweeting behavior is better explained through multiple different models rather than one model.
36
Supovitz, Jonathan A., Christian Kolouch, and Alan J. Daly. "The Social Psychology of Homophily: The Collective Sentiments of Education Advocacy Groups." Teachers College Record: The Voice of Scholarship in Education 122, no. 6 (June 2020): 1–32. http://dx.doi.org/10.1177/016146812012200603.
Full textAbstract:
Background/Context As a major area of civic decision making, public education is a central arena for advocacy groups seeking to influence policy debates. An emerging body of research examines advocates’ use of social media. While debates about policy can be thought of as a clash of large ideas contained within frames, cognitive linguists note that framing strategies are activated by the particular words that advocates choose to convey their positions. Purpose/Objective/Research Question/Focus of Study This study examined the vociferous debate surrounding the Common Core State Standards on Twitter during the height of state adoption in 2014 and 2015. Combining social network analysis and natural language processing techniques, we first identified the organically forming factions within the Common Core debate on Twitter and then captured the collective psychological sentiments of these factions. Research Design The study employed quantitative statistical comparisons of the frequency of words used by members of different factions around the Common Core on Twitter that are associated in prior research with four psychological characteristics: mood, motivation, conviction, and thinking style. Data Collection and Analysis Data were downloaded from Twitter from November 2014 to October 2015 using at least one of three hashtags: #commoncore, #ccss, or #stopcommoncore. The resulting data set consisted of more than 500,000 tweets and retweets from more than 100,000 distinct actors. We then ran a community detection algorithm to identify the structural subcommunities, or factions. To measure the four psychological characteristics, we adapted Pennebaker and colleagues’ Linguistic Inquiry and Word Count libraries. We then connected the individual tweet authors to their faction based on the results of the social network analysis community detection algorithm. Using these groups, and the standardized results for each psychological characteristic/dimension, we performed a series of analyses of variance with Bonferroni corrections to test for differences in the psychological characteristics among the factions. Findings/Results For each of the four psychological characteristics, we found different patterns among the different factions. Educators opposed to the Common Core had the highest level of drive motivation, use of sad words, and use of words associated with a narrative thinking style. Opponents of the Common Core from outside education exhibited an affiliative drive motivation, a narrative thinking style, high levels of anger words, and low levels of conviction in their choice of language. Supporters of the Common Core used words that represented a more analytic thinking style, stronger levels of conviction, and words associated with a higher level of achievement orientation. Conclusions/Recommendations Individuals on Twitter, mostly strangers to each other, band together to form fluid communities as they share positions on particular issues. On Twitter, these bonds are formed by behavioral choices to follow, retweet, and mention others. This study reveals how like-minded individuals create a collective sentiment through their specific choice of words to express their views. By analyzing the underlying psychological characteristics associated with language, we show the distinct pooled psychologies of activists as they engaged together in political activity in an effort to influence the political environment.
37
Mathur, Puneet, Ramit Sawhney, and Rajiv Ratn Shah. "Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13873–74. http://dx.doi.org/10.1609/aaai.v34i10.7209.
Full textAbstract:
Social media platforms are increasingly being used for studying psycho-linguistic phenomenon to model expressions of suicidal intent in tweets. Most recent work in suicidal ideation detection doesn't leverage contextual psychological cues. In this work, we hypothesize that the contextual information embedded in the form of historical activities of users and homophily networks formed between like-minded individuals in Twitter can substantially improve existing techniques for automated identification of suicidal tweets. This premise is extensively tested to yield state of the art results as compared to linguistic only models, and the state-of-the-art model.
38
Wei, Lewen, and Bingjie Liu. "Reactions to others’ misfortune on social media: Effects of homophily and publicness on schadenfreude, empathy, and perceived deservingness." Computers in Human Behavior 102 (January 2020): 1–13. http://dx.doi.org/10.1016/j.chb.2019.08.002.
Full text
39
Bössenecker, Giulia, Pim Mreijen, and Jan Treur. "A Second-Order Adaptive Network Model for Connecting Social Media Platforms and Users through Bonding by Faked Homophily." Procedia Computer Science 213 (2022): 32–40. http://dx.doi.org/10.1016/j.procs.2022.11.035.
Full text
40
Zhang, Ke, and Kineta Hung. "The Effect of Natural Celebrity–Brand Association and Para-Social Interaction in Advertising Endorsement for Sustainable Marketing." Sustainability 12, no. 15 (August 2, 2020): 6215. http://dx.doi.org/10.3390/su12156215.
Full textAbstract:
Celebrity endorsement has been regarded as an effective strategy for enterprises to implement sustainable marketing strategies. However, frequent use of celebrity ads renders consumers skeptical of the ads’ and celebrity’s profit-making intent, which may adversely affect the sustainable marketing of the brand. This has given rise to “natural celebrity-brand association” that features celebrities using the brand in real-life settings, which is usually presented on social media rather than mass media. Using a boot-strapping approach, the study contrasts the effects of natural and commercial endorsements (i.e., natural vs. advertising, natural vs. product placement) on consumer brand responses. Results showed that natural celebrity–brand association exerts superior effects. Further, the mediating variables, para-social interaction (PSI) and its drivers (celebrity attractiveness, consumers’ perceived homophily with the celebrity), which reflect consumer’s emotional connection with a celebrity, also exert significantly stronger effects in the natural (vs. commercial) endorsement context. This research provides insights for advertisers and marketers in exploring new patterns of brand presentation forms in advertisements and gaining competitive advantage in sustainable marketing.
41
Et. al., Lilian Pinda. "The Determinant Factors of Purchase Intention in the Culinary Business in Indonesia That Mediated by Parasocial Interaction and Food Vlogger Credibility." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 4852–65. http://dx.doi.org/10.17762/turcomat.v12i3.1991.
Full textAbstract:
This study aims to analyze the relationship between physical attractiveness, attitude homophily, social attractiveness, openness, interactivity, credibility, parasocial interaction, and purchase intention on YouTube in the culinary business in Indonesia. This research is a causal research design that applies the Structural Equation Modeling (SEM) research model as a method of data analysis. Using convenience sampling, the study sample involved 202 respondents as YouTube users in Jakarta and its surroundings who watched food review content by food vloggers more than three times a month. Based on the results of the hypothesis test, the factors that influence social interaction are physical attractiveness, social attractiveness, and interactivity. Meanwhile, only physical attractiveness affects food vlogger credibility. Therefore, before deciding to collaborate with a food vlogger, marketers can understand how credibility is formed and the interaction between a food vlogger and its audience on social media so that it can influence the audience's buying interest
42
Sundén, Jenny, and Susanna Paasonen. "Inappropriate Laughter: Affective Homophily and the Unlikely Comedy of #MeToo." Social Media + Society 5, no. 4 (October 2019): 205630511988342. http://dx.doi.org/10.1177/2056305119883425.
Full textAbstract:
This article investigates the affective and ambiguous dynamics of feminist humor as an unexpected strategy of resistance in connection with #MeToo, asking what laughter may do to the sharpness of negative affect of shame and anger driving the movement. Our inquiry comes in three vignettes. First, we deploy Nanette—Hannah Gadsby’s 2018 Netflix success heralded as the comedy of the #MeToo era—arguing that the uniform viral warmth surrounding the show drives the emergence of networked feminisms through “affective homophily,” or a love of feeling the same. With Nanette, the contagious qualities of laughter are tamed by a networked logic of homophily, allowing for intensity while resisting dissent. Our second vignette zooms in on a less known feminist comedian, Lauren Maul, and her online #MeToo musical comedy riffing off on apologies made by male celebrities accused of sexual harassment, rendering the apologies and the men performing them objects of ridicule. Our third example opens up the door to the ambivalence of irony. In considering the unexpected pockets of humor within the #MeToo scandal that ripped apart the prestigious institution of the Swedish Academy, we explore the emergence of carnivalesque comedy and feminist uses of irony in the appropriation of the pussy-bow blouse as an ambiguous feminist symbol. Our examples allow us to argue for the political importance of affective ambiguity, difference, and dissent in contemporary social media feminisms, and to highlight the risk when a movement like #MeToo closes ranks around homogeneous feelings of not only shame and rage, but also love.
43
Cinus, Federico, Francesco Bonchi, Corrado Monti, and André Panisson. "Generating Realistic Interest-Driven Information Cascades." Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 107–18. http://dx.doi.org/10.1609/icwsm.v14i1.7283.
Full textAbstract:
We propose a model for the synthetic generation of information cascades in social media. In our model the information “memes” propagating in the social network are characterized by a probability distribution in a topic space, accompanied by a textual description, i.e., a bag of keywords coherent with the topic distribution. Similarly, every user of the social media is described by a vector of interests defined over the same topic space. Information cascades are governed by the topic of the meme, its level of virality, the interests of each user, community pressure, and social influence.The main technical challenge we face towards our goal is the generation of realistic interest vectors, given a known network structure and a tunable level of homophily. We tackle this problem by means of a method based on non-negative matrix factorization, which is shown experimentally to outperform non-trivial baselines based on label propagation and random-walk-based graph embedding.As we showcase in our experiments, our model offers a small set of simple and easily interpretable “knobs” which allow to study, in vitro, how each set of assumptions affects the resulting propagations. Finally, we show how to generate synthetic cascades that have similar macro-statistics to the real-world cascades for a dataset containing both the network and the cascades.
44
Kamolov, Javohir, Assem Baimagambetova, and Dawei Liu. "A Review Study of Antecedents of Electronic Word-of-Mouth: The Case of Transition Economy – Uzbekistan." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 5, no. 2 (2019): 50–59. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.52.1005.
Full textAbstract:
Antecedents of electronic word-of-mouth (eWOM) in social media have not been analyzed in the case of transition economies. The Commonwealth of independent states (CIS) is an interesting case, where countries lived with the ideology of communism for a long time and now they need to adapt to a new set of rules. First of all, the current study analyzes the cultural aspects of Uzbekistan to understand them in the perspective of Hofstede’s classification. Secondly, it reviews previous literature and finds what kind of effects tie strength, homophily, interpersonal influence, trust, self-presentation, and self-disclosure can have on engagement in eWOM in individualistic and collectivistic communities. Finally, it suggests why future research involving the CIS sample is important.
45
You, Quanzeng, Darío García-García, Mahohar Paluri, Jiebo Luo, and Jungseock Joo. "Cultural Diffusion and Trends in Facebook Photographs." Proceedings of the International AAAI Conference on Web and Social Media 11, no. 1 (May 3, 2017): 347–56. http://dx.doi.org/10.1609/icwsm.v11i1.14902.
Full textAbstract:
Online social media is a social vehicle in which people share various moments of their lives with their friends, such as playing sports, cooking dinner or just taking a selfie for fun, via visual means, that is, photographs. Our study takes a closer look at the popular visual concepts illustrating various cultural lifestyles from aggregated, de-identified photographs. We perform analysis both at macroscopic and microscopic levels, to gain novel insights about global and local visual trends as well as the dynamics of interpersonal cultural exchange and diffusion among Facebook friends. We processed images by automatically classifying the visual content by a convolutional neural network (CNN). Through various statistical tests, we find that socially tied individuals more likely post images showing similar cultural lifestyles. To further identify the main cause of the observed social correlation, we use the Shuffle test and the Preference-based Matched Estimation (PME) test to distinguish the effects of influence and homophily. The results indicate that the visual content of each user's photographs are temporally, although not necessarily causally, correlated with the photographs of their friends, which may suggest the effect of influence. Our paper demonstrates that Facebook photographs exhibit diverse cultural lifestyles and preferences and that the social interaction mediated through the visual channel in social media can be an effective mechanism for cultural diffusion.
46
Bail, Christopher A., Brian Guay, Emily Maloney, Aidan Combs, D. Sunshine Hillygus, Friedolin Merhout, Deen Freelon, and Alexander Volfovsky. "Assessing the Russian Internet Research Agency’s impact on the political attitudes and behaviors of American Twitter users in late 2017." Proceedings of the National Academy of Sciences 117, no. 1 (November 25, 2019): 243–50. http://dx.doi.org/10.1073/pnas.1906420116.
Full textAbstract:
There is widespread concern that Russia and other countries have launched social-media campaigns designed to increase political divisions in the United States. Though a growing number of studies analyze the strategy of such campaigns, it is not yet known how these efforts shaped the political attitudes and behaviors of Americans. We study this question using longitudinal data that describe the attitudes and online behaviors of 1,239 Republican and Democratic Twitter users from late 2017 merged with nonpublic data about the Russian Internet Research Agency (IRA) from Twitter. Using Bayesian regression tree models, we find no evidence that interaction with IRA accounts substantially impacted 6 distinctive measures of political attitudes and behaviors over a 1-mo period. We also find that interaction with IRA accounts were most common among respondents with strong ideological homophily within their Twitter network, high interest in politics, and high frequency of Twitter usage. Together, these findings suggest that Russian trolls might have failed to sow discord because they mostly interacted with those who were already highly polarized. We conclude by discussing several important limitations of our study—especially our inability to determine whether IRA accounts influenced the 2016 presidential election—as well as its implications for future research on social media influence campaigns, political polarization, and computational social science.
47
Yu, Xing, Sunandan Chakraborty, and Erin Brady. "A Co-Training Model with Label Propagation on a Bipartite Graph to Identify Online Users with Disabilities." Proceedings of the International AAAI Conference on Web and Social Media 13 (July 6, 2019): 667–70. http://dx.doi.org/10.1609/icwsm.v13i01.3268.
Full textAbstract:
Collecting data from representative users with disabilities for accessibility research is time and resource consuming. With the proliferation of social media websites, many online spaces have emerged for people with disabilities. The information accumulated in such places is of great value for data collection and participant recruiting. However, there are also many active non-representative users in such online spaces such as medical practitioners, caretakers, or family members. In this work, we introduce a novel co-training model based on the homophily phenomenon observed among online users with the same disability. The model combines a variational label propagation algorithm and a naive Bayes classifier to identify online users who have the same disability. We evaluated this model on a dataset collected from Reddit and the results show improvements over traditional models.
48
Shevtsov, Alexander, Maria Oikonomidou, Despoina Antonakaki, Polyvios Pratikakis, and Sotiris Ioannidis. "What Tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 2020." PLOS ONE 18, no. 1 (January 31, 2023): e0270542. http://dx.doi.org/10.1371/journal.pone.0270542.
Full textAbstract:
Most studies analyzing political traffic on Social Networks focus on a single platform, while campaigns and reactions to political events produce interactions across different social media. Ignoring such cross-platform traffic may lead to analytical errors, missing important interactions across social media that e.g. explain the cause of trending or viral discussions. This work links Twitter and YouTube social networks using cross-postings of video URLs on Twitter to discover the main tendencies and preferences of the electorate, distinguish users and communities’ favouritism towards an ideology or candidate, study the sentiment towards candidates and political events, and measure political homophily. This study shows that Twitter communities correlate with YouTube comment communities: that is, Twitter users belonging to the same community in the Retweet graph tend to post YouTube video links with comments from YouTube users belonging to the same community in the YouTube Comment graph. Specifically, we identify Twitter and YouTube communities, we measure their similarity and differences and show the interactions and the correlation between the largest communities on YouTube and Twitter. To achieve that, we have gather a dataset of approximately 20M tweets and the comments of 29K YouTube videos; we present the volume, the sentiment, and the communities formed in YouTube and Twitter graphs, and publish a representative sample of the dataset, as allowed by the corresponding Twitter policy restrictions.
49
Parviz, Elnaz, and Cameron W. Piercy. "What Will They Think If I Post This? Risks and Returns for Political Expression Across Platforms." Social Media + Society 7, no. 4 (October 2021): 205630512110554. http://dx.doi.org/10.1177/20563051211055439.
Full textAbstract:
Social networking sites (SNSs) allow individuals to establish and maintain a variety of relationships as well as share different aspects of their identity by expressing their views on numerous topics, including politics. SNS also come with perceived interpersonal risks and benefits tied to sharing with a collapsed networked audience. Using a nationally representative sample of US social media users ( N = 2,873) from 2016, this study investigated how perceived network characteristics influence people’s decision to engage in online political expression on three platforms: Facebook, Twitter, and Instagram. Findings indicate that perceived ideological homophily with the audience on an SNS and past use of privacy management settings both predict how much individuals post about politics on Facebook and Twitter, but not on Instagram. On Instagram, Black Americans were significantly more likely to engage in online political expression. On Facebook and Twitter, older Americans engaged in more political expression, and across all platforms, perceptions that political discussion online is uncivil were negatively associated with political expression.
50
Maejima, Naoki. "Comparing Gender Homophily among the Multilayer Media Social Networks of Face-to-Face, Instant Messenger and Social Networking Services: A Case Study of a High School Classroom." Connections 40, no. 1 (2020): 1–21. http://dx.doi.org/10.21307/connections-2019.014.
Full text