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                <text>Social media mindsets: a new approach to understanding&#13;
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                <text>Social media mindsets are the core beliefs that orient individuals’ expectations, behaviors, attributions, and goals about social media’s role in&#13;
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&#13;
media use (“in control” vs. “out of control”) and the valence of its effects (“enhancing” vs. “harmful”) that are meaningfully related to psycho-&#13;
logical well-being. We develop and apply the Social Media Mindsets scale, revealing that agentic, positive mindsets are associated with better&#13;
&#13;
well-being and low-agency, and negative mindsets are associated with worse well-being (Studies 1, 2a, and 2b). Notably, these mindsets&#13;
explained more variance in relational well-being and psychological distress than other measures (Study 3) and were related to differences in&#13;
how people used social media and interpreted the time they spent on it (Studies 3 and 4). Our findings introduce a novel potential explanation&#13;
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                <text>Angela Y. Lee 1,�, Jeffrey T. Hancock1</text>
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                <text>Too scared to share? Fear of social sanctions for political&#13;
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                <text>fear of social sanctions, political expression, news sharing, spiral of silence, social media, social networks</text>
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                <text>While social media provide opportunities for political expression, many people may be reluctant to share their opinions if they fear personal or&#13;
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why people often avoid expressing political opinions online. Using panel survey data collected during the 2020 U.S. election, this study examines&#13;
the predictors of FOSSs, as well as its relationship with several forms of online political expression. Results indicate that the ideological diversity&#13;
of people’s online networks fosters their FOSSs, which in turn is associated with decreases in several types of online political expression. Thus,&#13;
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                <text>Brian E. Weeks 1,*, Audrey Halversen1&#13;
&#13;
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                <text>The story of social media: evolving news coverage of&#13;
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                <text>This article examines how American news media have framed social media as political technologies over time. To do so, we analyzed 16 years&#13;
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moral language, (b) is consistently focused on national politicians (vs. non-elite actors), and (c) increasingly emphasizes normatively negative&#13;
uses (e.g., misinformation) and their remedies (i.e., regulation). In discussing these findings, we consider the ways that these prominent&#13;
normative representations of social media may shape (and limit) their role in political life.</text>
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&#13;
*, Hannah Overbye-Thompson1&#13;
&#13;
, Emilija Gagrcin2</text>
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                <text>Does mindless scrolling hamper well-being? Combining&#13;
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                <text>social media, mindless scrolling, behavioral data, guilt, goal conflict.</text>
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                <text>This manuscript presents findings from a preregistered mixed-method study involving 67,762 ecological momentary assessments and behav-&#13;
ioral smartphone observations from 1,315 adults. The study investigates (a) momentary associations between mindless scrolling, goal conflict,&#13;
&#13;
and guilt over smartphone use, and (b) whether guilt experiences during the day culminate into lower well-being. Results indicate that individu-&#13;
als experienced more guilt over their smartphone use when they had mindlessly scrolled for a longer period and that experienced goal conflict&#13;
&#13;
partially mediated this relationship. Daily analyses revealed that mindless scrolling was also associated with small negative changes in well-&#13;
being, and this relationship was partially mediated by guilt experienced over the same day. Individuals with less self-control were more prone to&#13;
&#13;
experiencing goal conflict after mindlessly scrolling. These findings indicate that although mindless scrolling may seem a relatively harmless me-&#13;
dia behavior, it may have both momentary and downstream negative implications for well-being.</text>
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                <text>David de Segovia Vicente 1,�, Kyle Van Gaeveren 1&#13;
&#13;
, Stephen L. Murphy 1&#13;
,&#13;
&#13;
Mariek M. P. Vanden Abeele</text>
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                <text>https://doi.org/10.1093/jcmc/zmad056</text>
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                <text>Quantifying gender disparities and bias online: editors’&#13;
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special issue</text>
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                <text>This special issue collects studies about how gender divides manifest in digital environments, spanning online repositories, social media, and&#13;
AI-powered technologies. Computational research helps in assessing the nature and prevalence of gender divides: Identifying differences and&#13;
bias requires defining benchmarks, systematic departures, and overall incidence. This collection showcases evidence uncovered quantitatively&#13;
&#13;
and illustrates how such evidence can advance theoretical understanding of gender dynamics as socially constructed phenomena. Social inter-&#13;
actions and discursive practices are shaped by the technologies we use to communicate, work, and organize. These technologies shape, in&#13;
&#13;
turn, how we perceive and reinforce gender stereotypes. In this editors‘ note, we discuss how the seven articles included in the special issue&#13;
&#13;
unpack communicative processes in the context of various online environments, disentangling gendered dynamics from the use of digital tech-&#13;
nologies. Ultimately, our goal is to energize a research agenda that requires continued work as technologies morph and evolve in unprece-&#13;
dented directions.</text>
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                <text>The social grooming model (SGM), which theorizes social media users’ social grooming behaviors based on invested costs, is robust, reflecting&#13;
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&#13;
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&#13;
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&#13;
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                <text>This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube&#13;
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&#13;
creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering vari-&#13;
ous modalities such as captions and thumbnails, revealed that themes related to children and health often appeared in videos mentioning&#13;
&#13;
women, while science misinformation was more common in videos mentioning men. We observed cross-platform differences in portraying&#13;
&#13;
gender stereotypes. YouTube’s video descriptions often highlighted women-associated moral language, whereas TikTok emphasized men-&#13;
associated moral language. YouTube’s thumbnails frequently featured climate activists or women with nature, while TikTok’s thumbnails&#13;
&#13;
showed women in Vlog-style selfies and with feminine gestures. These findings advance understanding about gender and science through a&#13;
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                <text>Generative Artificial Intelligence (AI) models like DALLE 2 can interpret prompts and generate high-quality images that exhibit human creativity.&#13;
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this gap by examining the prevalence of two occupational gender biases (representational and presentational biases) in 15,300 DALLE 2 images&#13;
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occupations. Additionally, DALLE 2 images tend to depict more women than men with smiles and downward-pitching heads, particularly in&#13;
&#13;
female-dominated (versus male-dominated) occupations. Our algorithm auditing study demonstrates more pronounced representational and pre-&#13;
sentational biases in DALLE 2 compared to Google Images and calls for feminist interventions to curtail the potential impacts of such biased AI-&#13;
generated images on the media ecology.</text>
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                <text>Luhang Sun 1&#13;
&#13;
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&#13;
, Yibing Sun 1&#13;
&#13;
, Yoo Ji Suh 1&#13;
&#13;
, Liwei Shen 2&#13;
&#13;
, Sijia Yang</text>
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                <text>Drawing on theories of digital media (non-)use and well-being, this study examines how voluntary disconnection relates to subjective well-being&#13;
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throughout the day (e.g., putting screen devices away and muting notifications) with momentary experiences of well-being. We collected 4,028&#13;
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effects of disconnection on affective well-being, social connectedness, or life satisfaction, nor a significant moderation effect of digital skills.&#13;
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of deliberate non-use of technology in the digital age.</text>
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              <name>Title</name>
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                  <text>VOL 29 ISSUE 1 2024</text>
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            <name>Title</name>
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                <text>Standing up to problematic content on social media: which&#13;
objection strategies draw the audience’s approval?</text>
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            <name>Subject</name>
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                <text>objections, online offenses, moral judgment, behavioral intentions, social norms.</text>
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                <text>Problematic content on social media can be countered through objections raised by other community members. While intended to deter&#13;
offenses, objections can influence the surrounding audience observing the interaction, leading to their collective approval or disapproval. The&#13;
results of an experiment manipulating seven types of objections against common types of offenses indicate audiences’ support for objections&#13;
&#13;
that implore via appeals and disapproval of objections that threaten the offender, as they view the former as more moral, appropriate, and effec-&#13;
tive compared to the latter. Furthermore, audiences tend to prefer more benign and less threatening objections regardless of the offense sever-&#13;
ity (following the principle of “taking the high road”) instead of objections proportionate to the offense (“an eye for an eye”). Taken together,&#13;
&#13;
these results show how objections to offensive behaviors may impact collective perceptions on social media, paving the way for interventions&#13;
to foster effective objection strategies in social media discussions.</text>
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                <text>Pengfei Zhao1,�, Natalie N. Bazarova1&#13;
&#13;
, Dominic DiFranzo2&#13;
&#13;
, Winice Hui1&#13;
&#13;
, Rene � F. Kizilcec3&#13;
,&#13;
&#13;
Drew Margolin</text>
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                <text>https://doi.org/10.1093/jcmc/zmad046</text>
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                <text>10 October 2023</text>
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