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                <text>Talking to Trolls—How Users Respond to a Coordinated Information Operation and Why They’re So Supportive</text>
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                <text>This research explored how users interacted with inauthentic social media accounts with the goal of&#13;
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coding with natural-language processing to measure the ways in which users talked with and about the accounts employed by the Russian-affiliated Internet Research Agency in the month before the&#13;
2016 U.S. Election. We find that user mentions were overwhelming supportive of the IRA accounts,&#13;
belying the standard characterization of these personas as “trolls.” This pattern is particularly&#13;
strong for the more ideological troll types, suggesting that a strategy of building homophilic&#13;
connections with like-minded people was central to the IRA campaign. This strategy seems to work—on days that the personas’ mentions were more supportive, they received more engagement.</text>
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                <text>The online sphere allows people to be personally anonymous while simultaneously being so�cially identifiable. Twitter users can use a pseudonym but signal allegiance to a political party&#13;
in their profile (e.g., #MAGA). We explore the interplay of these two dimensions of anonym�ity on a custom-built social media platform that allowed us to examine the causal effects of personal and social anonymity on discussion quality. We find no support for the hypothesis that personal anonymity breeds incivility or lowers discussion quality in discussions on gun rights. On the other hand, when personal anonymity is combined with social identifiability&#13;
(operationalized as political party visibility), it improves several features linked to discussion&#13;
quality, that is, higher rationality and lower incivility. We discuss the mechanisms that might explain the results and offer recommendations for future experiments about the design of so�cial media platforms. </text>
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                <text>Journal of Computer-Mediated Communication 00 (2021)</text>
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                  <text>VOL 27 ISSUE 1 2022</text>
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                <text>A recurring hypothesis in the literature is that “passive” social media use (browsing) leads to negative effects on well-being. This preregistered study investigated a rival hypothesis, which states&#13;
that the effects of browsing on well-being depend on person-specific susceptibilities to envy, inspiration, and enjoyment. We conducted a three-week experience sampling study among 353 adolescents (13–15 years, 126 assessments per adolescent). Using an advanced N ¼ 1 method of analysis, we found sizeable heterogeneity in the associations of browsing with envy, inspiration, and&#13;
enjoyment (e.g., for envy ranging from b ¼ �.44 to b ¼ þ.71). The Passive Social Media Use Hypothesis was confirmed for 20% of adolescents and rejected for 80%. More adolescents with browsing-induced envy experienced negative effects on affective well-being (25%) than adolescents with no browsing-induced envy (13%). Conversely, more adolescents with browsing-induced enjoyment experienced positive effects on affective well-being (47%) than adolescents with no browsing-induced enjoyment (9%).</text>
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                <text>This study examines how people experiencing homelessness invest their efforts in locating survival support over social media and crowdfunding and the barriers they experience along the way. Reporting on ethnographic fieldwork with unstably housed adults in Chicago, the study&#13;
introduces the concept of connective ambition to describe how platform narratives take hold in&#13;
a context of deep exclusion, informing a view of social media as a vast terrain of untapped support from strangers. Digital inequality emerges in the failure of campaigns to raise money for rent from virtual ties, but also in how limited skills and heightened concerns over privacy and safety discourage most people living on the street from ever seeking out support over social media. Ethnography can help better illustrate the interlocking features of offline and digital&#13;
inequalities, showing how status-specific uses of social platforms emerge and shape unequal&#13;
outcomes of digital participation for members of marginalized communities.</text>
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                <text>Sri Wahyuni</text>
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                <text>We propose a new way of imagining and measuring opinions emerging from social media. As people tend to connect with like-minded others and express opinions in response to current events on social media, social media public opinion is naturally occurring, temporally sensi�tive, and inherently social. Our framework for measuring social media public opinion first samples targeted nodes from a large social graph and identifies homogeneous, interactive, and stable networks of actors, which we call “flocks,” based on social network structure, and then measures and presents opinions of flocks. We apply this framework to Twitter and provide empirical evidence for flocks being meaningful units of analysis and flock membership predicting&#13;
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                <text>Sri Wahyuni</text>
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                <text>Journal of Computer-Mediated Communication 00 (2021)</text>
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