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                <text>“Come on f––er, just load!” Powerlessness, waiting, and&#13;
life without broadband</text>
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                <text>rural broadband, digital inequalities, waiting, time, power</text>
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                <text>Waiting is a way of experiencing the effects of power. This article finds those waiting for fixed broadband connection are powerless to end&#13;
the waiting and increasingly frustrated with the powerful—the governmental officials, policy makers, and broadband providers—who control&#13;
their waiting. This article, built on 19 interviews with residents of a rural county in the United States, details the lived experiences of those&#13;
&#13;
waiting for a fixed broadband connection and shines a critical light on the unequal power dynamics of digital inequality and waiting. The find-&#13;
ings demonstrate residents suffer from “chronic waiting” for a connection. They also wait while using the internet, via inferior mobile connec-&#13;
tions, laboring through issues such as buffering. Finally, the findings illustrate the only way to avoid “technology-induced waiting” is to wait in&#13;
&#13;
alternative ways, including turning into a “second-shift” family to enjoy internet service in the middle of the night.</text>
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                <text>Nick Mathewsand , Christopher Ali2</text>
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                <text>https://doi.org/10.1093/jcmc/zmac020</text>
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                <text>AI agency vs. human agency: understanding human–AI&#13;
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                <text>Artificial intelligence (AI) technology has vastly reshaped user experiences on social media. AI-powered social media use and its outcomes&#13;
largely depend on how users collaborate with AI that exercises agency. Through in-depth interviews with TikTok users, this study investigates&#13;
how users collaborate with AI when using AI-powered social media and how such dynamics shape user engagement. We found that TikTok&#13;
users are receptive to personalized experiences enabled by machine agency. However, by influencing each other, user agency and machine&#13;
agency also led to user–AI synergy. Users deliberately influence content curation algorithms to make them cater more precisely to their needs;&#13;
AI also facilitates users’ content creation and networking. Such AI–user collaboration on TikTok significantly influences medium engagement and&#13;
social-interactive engagement. These findings advance our understanding of the dynamics between human agency and machine agency and,&#13;
thus, how AI transforms user experiences on social media.</text>
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                <text>Hyunjin Kang ,Chen Lou</text>
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                <text>https://doi.org/10.1093/jcmc/zmac014</text>
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                <text>Understanding darkness: age, sex, and tech-proficiency in&#13;
knowledge and perceptions of technology-mediated abuse</text>
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                <text>Keywords: intimate partner violence, romantic relationship, intrusion, abuse, social affordances</text>
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                <text>This article examines how people understand technology-mediated abuse (TMA) between adult romantic partners. Because knowledge and&#13;
attitudes regarding sensitive issues are created and shaped via technology, users’ interpretations are crucial to understanding life-threatening&#13;
relational situations such as TMA. In this study, 551 individuals were recruited via community-based chain-referral sampling and asked to&#13;
describe TMA (e.g., online stalking, hacking, verbal attack, etc.). To varying degrees, age, sex, and technological proficiency each and also,&#13;
interactively predicted TMA perceptions. Findings showed that older (vs. younger) and male (vs. female) individuals understood different&#13;
technology-mediated behaviors as harmful when used by adult romantic partners.</text>
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                <text>Jessica J. Eckstein</text>
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                <text>https://doi.org/10.1093/jcmc/zmac013</text>
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