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                <text>Performative or authentic? How affordances signal&#13;
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viewers evaluate the authenticity of men who post allyship messages on Instagram. Additionally, we examine how viewer perceptions of comment deletion and comment restriction impact source evaluations. Results indicate that greater perceived persistence and visibility led women&#13;
viewers to rate ostensible allies as more authentic and less self-interested. Moreover, comment deletion and restriction were found to partially&#13;
affect how viewers evaluated ally authenticity and motive, providing additional support to warranting theory. Implications for promoting prosocial messaging and digital allyship online are discussed</text>
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                <text>The rise of large language models (LLMs) expands opportunities for creating interpersonal messages. Building on artificial intelligent (AI)-mediated&#13;
communication (AI-MC), this study examines how people use LLM-based chatbots to generate support messages and how patterns of human–AI&#13;
collaboration shape message features and influence message evaluations of helpfulness and authenticity. We propose the process-adoption model,&#13;
categorizing message generation into four patterns: human-only, AI-only, modified-AI, and AI-guided. Results showed that AI-only and modified-AI&#13;
messages were more likely than human-only messages to include informational and emotional support, which in turn, enhanced viewers’ evaluations&#13;
of message helpfulness and authenticity. AI-guided messages were more likely to provide reciprocal self-disclosure than AI-only messages, which&#13;
enhanced perceived authenticity. Lastly, AI-guided messages were rated as more authentic than AI-only messages even after accounting for the&#13;
mediating effects of message features. These findings provide a nuanced understanding of the AI-MC spectrum, and discussions are provided about&#13;
human–AI collaboration in support provision.</text>
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of misleading news</text>
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                <text>This study examined whether accuracy nudges and content veracity labels enhance people’s discernment in believing and sharing true versus&#13;
false news. Participants in the United Kingdom, the United States, and Hong Kong were shown five true and five false social media posts in random order. Two true posts and two false posts were randomly assigned “True” and “False” labels, respectively. Multilevel regression models&#13;
indicated that accuracy nudges and veracity labels had no direct effects on the perceived accuracy of posts or willingness to share them, though&#13;
the interaction of the “False” label and accuracy nudge significantly reduced the perceived accuracy of and intention to share false news across&#13;
the samples. Post hoc analyses further uncovered contingent effects based on individual differences, including partisan identity in the United&#13;
States and conspiratorial thinking in the United Kingdom and Hong Kong. The findings demonstrate the efficacy of combined countermeasures&#13;
in attenuating the effects of misinformation.</text>
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                <text>Building on the idea that subjective evaluations of social media use (SMU) may shape well-being effects, this study investigated how two&#13;
“social media mindsets”—agency (perceived control over SMU) and valence (perceived effects of SMU)—relate to self-reported and logged&#13;
SMU, and four well-being indicators (depression, anxiety, stress, and life satisfaction) in a South African sample of young adults (N ¼ 1,858; M&#13;
age ¼ 21.01). Agency mindsets were negatively correlated with SMU and positively with well-being, while valence mindsets were associated&#13;
with higher SMU but not with well-being. Logged SMU showed weaker associations with mindsets and well-being than self-reported SMU,&#13;
suggesting differences between perceived and actual behavior. The findings replicate, extend, and in some cases contradict prior research, emphasizing how users’ sense of control is more important for well-being than SMU duration or perceptions of its effects, and that more work is&#13;
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                <text>While authenticity has been identified as pivotal on social media, it has not been studied as part of a broader value ecology shaping content evaluation. Addressing this gap, we investigated users’ evaluations of prominent Instagram genres in relation to perceptions of authenticity. A survey&#13;
of 1,000 users from the United States, Germany, Italy, Japan, and South Korea revealed transnational similarities in value-related interpretations&#13;
of genres, alongside local variation. Participants described the most liked genres as expressing happiness, togetherness, and peacefulness, and authenticity was positively correlated with favorable evaluation of content across countries and genres. Ultimately, evaluation on Instagram is shaped&#13;
by the intersection of perceived authenticity and pleasure derived from peaceful solitude or close social bonds. We conclude by reflecting on the&#13;
utility of our multi-method approach and the importance of situating authenticity vis-�a-vis other values in social media research.</text>
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