RAPID: Investigating Social Influence and Mitigating Disinformation Campaigns in Non-English Social Media

RAPID：调查非英语社交媒体中的社会影响力并减少虚假信息活动

• 批准号: 2304209
• 负责人: Morteza Dehghani
• 金额: $ 19.99万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-15 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2304209&HistoricalAwards=false
• 关键词: RAPID; Investigating; Social; Influence; Mitigating

Non-English Twitter and other social media have served as public spaces for activists in non-Western countries to express opinions and exchange information during public protests. However, cyber-attacks by different actors have been used to distort the news, malevolently distract audiences, interrupt collective action, and foster affective polarization and outgroup hate. The project team will be studying how cyber-attacks and communication in this online world are correlated with offline protests, violence, and state action. The project team is collecting a large representative corpus of Non-English social media. The team is building tools to identify misinformation and its sources in order to provide a more secure and trustworthy cyberspace to everyday users who rely on social media for receiving news.Given the scientific significance of the corpus being collected, along with the potential security concerns of this domain, the project team is working on a data sharing agreement for researchers interested in studying this corpus while providing a level of security and anonymity to users. Part of the data is being annotated for bots, misinformation, and different types of rhetoric. The data will be used to design and optimize models of bot and troll detection for this domain that will be incorporated in browser plug-ins to help users detect problematic information and accounts. The interdisciplinary project will advance our basic understanding of the role of online communication and offline violence in an understudied cultural setting, adding to the emerging line of work on online behaviors outside Western democracies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

非英语的Twitter和其他社交媒体已成为非西方国家活动人士在公众抗议期间表达意见和交换信息的公共空间。然而，不同行为者的网络攻击被用来歪曲新闻，恶意分散观众的注意力，打断集体行动，并助长情感两极分化和外群体仇恨。该项目团队将研究网络世界中的网络攻击和通信如何与离线抗议，暴力和国家行动相关联。该项目团队正在收集大量非英语社交媒体的代表性语料库。该团队正在构建识别错误信息及其来源的工具，以便为依赖社交媒体接收新闻的日常用户提供更安全和值得信赖的网络空间。鉴于正在收集的语料库的科学意义，沿着该领域的潜在安全问题，该项目小组正在为有兴趣研究这一语料库的研究人员制定一项数据共享协议，同时为用户提供一定程度的安全和匿名。部分数据被注释为机器人，错误信息和不同类型的修辞。这些数据将用于设计和优化该领域的机器人和巨魔检测模型，这些模型将被纳入浏览器插件中，以帮助用户检测有问题的信息和帐户。这个跨学科的项目将促进我们对在线交流和离线暴力在未充分研究的文化环境中的作用的基本理解，增加西方民主国家以外的在线行为的新兴工作线。这个奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。