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Titlebook: HCI International 2022 – Late Breaking Posters; 24th International C Constantine Stephanidis,Margherita Antona,Gavriel Conference proceedi

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發(fā)表于 2025-3-30 11:02:52 | 只看該作者
Utilization of Social Media in Handling and Preventing Violence Against Women and Children Case Studs an important part of providing education through communication of preventive measures and assistance. This study uses QDAS (Qualitative Data Analysis Software) approach using the data source of the Twitter @kpp_pa (KPPA) social media account. The Ministry of Women‘s Empowerment and Child Protectio
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發(fā)表于 2025-3-30 12:26:35 | 只看該作者
Investigating Information Cocoon Attitudes in Short-Form Video Applicationsnt information, and simultaneously create information cocoon. Limited research has paid attention to this phenomenon. To fill the gap, drawing on Dual-factor Theory, this study systematically investigates the enablers and inhibitors in conjunction to measure user attitudes toward information cocoon
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發(fā)表于 2025-3-30 17:56:22 | 只看該作者
Governing for Free: Rule Process Effects on Reddit Moderator Motivationsnities to practice governance through content moderation roles. The over 2.8 million “subreddit” communities on Reddit are governed by hundreds of thousands of volunteer moderators, many of whom have no training or prior experience in a governing role. While moderators often devote daily time to com
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發(fā)表于 2025-3-31 00:24:08 | 只看該作者
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發(fā)表于 2025-3-31 01:28:57 | 只看該作者
Video Conferencing Platforms for Learning: Which is the Best Platform?deoconferencing platforms are Microsoft Teams, Zoom, Google Meet, and WhatsApp. This article aims to identify the perceptions that teachers have when using these platforms to determine which platform is the most optimal for developing the activities..The study involved 33 male and female teachers wo
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發(fā)表于 2025-3-31 06:39:30 | 只看該作者
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發(fā)表于 2025-3-31 20:18:01 | 只看該作者
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發(fā)表于 2025-4-1 01:23:02 | 只看該作者
Structure and Function of Immune Systemtly, the ability to detect them is imperative. Although research has been done in creating algorithms for automatic detection, there is little work conducted on how users identify deepfakes. Hence, the present paper fills this gap with a user study. Through semi-structured interviews, participants w
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