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                <text>In this study, we examine the effects of the near-constant use of digital media in everyday life on well-being in the context of close relationships. Building on media multiplexity and attachment perspectives, we argue that communication over a dyad’s media ecosystem, including face-to-face, text messaging, cellphone calls, e-mail, and instant messaging, creates connected availability. Connected availability is the perception that a partner is at a contin�uous (digital) arm’s reach offering protection and security. Using longitudinal dyadic data of cohabitating romantic partners, we track the effects of media multiplexity on well-being by factoring in both partners’ perspectives to untangle the security offered through partner’s&#13;
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                <text>In this study, we examine the effects of the near-constant use of digital media in everyday life on well-being in the context of close relationships. Building on media multiplexity and attachment perspectives, we argue that communication over a dyad’s media ecosystem, including face-to-face, text messaging, cellphone calls, e-mail, and instant messaging, creates connected availability. Connected availability is the perception that a partner is at a contin�uous (digital) arm’s reach offering protection and security. Using longitudinal dyadic data of cohabitating romantic partners, we track the effects of media multiplexity on well-being by factoring in both partners’ perspectives to untangle the security offered through partner’s&#13;
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                <text>Artificial Intelligence, AI, algorithms, content moderation, news recommendations, polari�zation, biased information processing, social media, counter-attitudinal views, news, bias, online moderation, perceived justice </text>
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                <text>Although artificial intelligence is blamed for many societal challenges, it also has underexplored potential in political contexts online. We rely on six preregistered experiments in three countries&#13;
(N ¼ 6,728) to test the expectation that AI and AI-assisted humans would be perceived more favorably than humans (a) across various content moderation, generation, and recommendation scenarios and (b) when exposing individuals to counter-attitudinal political information. Contrary to the preregistered hypotheses, participants see human agents as more just than AI across the scenarios tested, with the exception of news recommendations. At the same time, participants are not more open to counter-attitudinal information attributed to AI rather than a human or an AI-assisted human. These findings, which—with minor variations—emerged across&#13;
countries, scenarios, and issues, suggest that human intervention is preferred online and that peo�ple reject dissimilar information regardless of its source. We discuss the theoretical and practical&#13;
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                  <text>VOL 26 ISSUE 4 2021</text>
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                <text>This study examined how and when a chatbot’s emotional support was effective in reducing people’s stress and worry. It compared emotional support from chatbot versus human partners in terms of its process and conditional effects on stress/worry reduction. In an online experiment, participants discussed a personal stressor with a chatbot or a human partner who provided none, or either one or both of emotional support and reciprocal self-disclosure. The results showed that emotional support from a conversational partner was mediated through perceived supportiveness of the partner to reduce stress and worry among&#13;
participants, and the link from emotional support to perceived supportiveness was stronger for a human&#13;
than for a chatbot. A conversational partner’s reciprocal self-disclosure enhanced the positive effect of emo�tional support on worry reduction. However, when emotional support was absent, a solely self-disclosing chatbot reduced even less stress than a chatbot not providing any response to participants’ stress. </text>
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