Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
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抗击社交媒体中的 COVID-19 信息流行病：整体视角和战斗号召
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Preslav Nakov
中科院分区：
文献类型：
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作者：
Firoj Alam;Fahim Dalvi;Shaden Shaar;Nadir Durrani;Hamdy Mubarak;Alex Nikolov;Giovanni Da San Martino;Ahmed Abdelali;Hassan Sajjad;Kareem Darwish;Preslav Nakov
随着 COVID-19 大流行的爆发，人们转向社交媒体阅读和分享及时的信息，包括统计数据、警告、建议和励志故事。不幸的是，除了所有这些有用的信息之外，还出现了医学和政治错误信息和虚假信息的新混合，从而引发了第一次全球信息流行病。虽然人们通常从事实角度来考虑对抗这种信息流行病，但问题要广泛得多，因为恶意内容不仅包括假新闻、谣言和阴谋论，还包括宣传虚假疗法、恐慌、种族主义、仇外心理和对当局的不信任等。这是一个复杂的问题，需要采取整体方法，结合记者、事实核查人员、政策制定者、政府实体、社交媒体平台和整个社会的观点。考虑到这一点，我们定义了反映这些观点的注释模式和详细注释说明。我们进一步部署了多语言注释平台，并向研究界及其他领域发出号召，通过支持我们的众包注释工作来加入战斗。我们使用注释模式执行初始注释，并且我们的初始实验证明了相对于基线的相当大的改进。
With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories. Unfortunately, alongside all this useful information, there was also a new blending of medical and political misinformation and disinformation, which gave rise to the first global infodemic. While fighting this infodemic is typically thought of in terms of factuality, the problem is much broader as malicious content includes not only fake news, rumors, and conspiracy theories, but also promotion of fake cures, panic, racism, xenophobia, and mistrust in the authorities, among others. This is a complex problem that needs a holistic approach combining the perspectives of journalists, fact-checkers, policymakers, government entities, social media platforms, and society as a whole. With this in mind, we define an annotation schema and detailed annotation instructions that reflect these perspectives. We further deploy a multilingual annotation platform, and we issue a call to arms to the research community and beyond to join the fight by supporting our crowdsourcing annotation efforts. We perform initial annotations using the annotation schema, and our initial experiments demonstrated sizable improvements over the baselines.