The Role of Social Media in Deepfake Spread and Misinformation Mitigation

Abstract—Advancements in artificial intelligence (AI) have significantly impacted information dissemination on social media, particularly increasing exposure to deepfakes and fake news. This study aims to analyze how social media news use and instantaneous sharing of news contribute to inadvertent deepfake sharing. Additionally, it explores the role of deepfake exposure in increasing the risk of misinformation spread. To mitigate these risks, the study examines strategies such as authenticating news before sharing and implementing both active and passive corrective actions against fake news. The findings are expected to provide insights into how individuals can be more cautious in filtering information on social media and how mitigation measures can help reduce the unintentional spread of deepfakes. Furthermore, this study contributes to a broader understanding of the role of social media in shaping public perception of AI and digital news. By identifying key factors influencing the spread of misinformation, the research highlights the need for digital literacy and proactive measures to ensure responsible information sharing in the digital age.摘要——人工智能（AI）的技术进步对社交媒体领域的信息传播产生了显著影响，尤其加剧了用户接触深度伪造（deepfake）内容与虚假新闻的情况。本研究旨在剖析社交媒体新闻使用与新闻即时分享行为，如何促成深度伪造内容的无意传播；此外，本研究还探讨了深度伪造内容接触对提升错误信息传播风险的作用机制。为缓解此类风险，本研究对相关应对策略展开了分析，例如分享前对新闻进行真伪核验，以及针对虚假新闻实施主动与被动两类纠正措施。本研究的预期成果将为用户如何更审慎地筛选社交媒体信息，以及各类缓解措施如何助力减少深度伪造内容的无意传播提供启示。此外，本研究还将推动学界更全面地理解社交媒体在塑造公众对人工智能与数字新闻的认知方面所扮演的角色。通过识别影响错误信息传播的核心因素，本研究凸显了提升数字素养、采取积极举措以保障数字时代负责任信息分享的必要性。