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Collaborative Research: SaTC: CORE: Small: Detecting Accounts Involved in Influence Campaigns on Social Media

Collaborative Research: SaTC: CORE: Small: Detecting Accounts Involved in Influence Campaigns on Social Media
协作研究:SaTC:核心:小型:检测参与社交媒体影响力活动的帐户
批准号:
2114411
负责人:
Jeremy Blackburn
金额:
$22.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-05-01 至 2024-04-30

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中文摘要
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英文摘要
The growing popularity of online social networks has opened the door to false information being disseminated by malicious actors. Hostile nation states are orchestrating disinformation campaigns in the United States with the goal of influencing public discourse or pushing talking points that favor a particular country’s agenda. These campaigns are typically carried out with the help of fake social media accounts known as trolls, which pose as fictitious personas. These trolls interact with each other and with unsuspecting social network users with the goal of polarizing discussion and furthering false narratives. Despite the serious threat that disinformation poses to our society, social networks are struggling to keep up with the threat, resorting to reactive measures that remove malicious accounts after the fact. The goal of this project is to develop techniques able to automatically identify troll accounts on social networks so that they can be more swiftly removed.To carry out this project, the investigators are collecting information about the troll accounts identified by Twitter and Reddit as belonging to several foreign countries’ disinformation campaigns. These data are used to train machine learning algorithms able to automatically identify other troll accounts on Twitter and Reddit. The project follows two parallel research tasks. In the first task, the research team aims to train supervised learning algorithms to learn the typical behavior of known troll accounts, with the goal of identifying more accounts that behave similarly and are therefore part of the same disinformation campaign. Preliminary results show that troll accounts exhibit peculiar interaction patterns that are uncommon in real accounts. In the second task, the researchers will work towards identifying traits that are typical of troll accounts regardless of the campaign that they belong to, and use transfer learning techniques to identify emerging disinformation campaigns. Students are involved at all stages of the research.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.
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"I'm a Professor, which isn't usually a dangerous job": Internet-facilitated Harassment and Its Impact on Researchers
“我是一名教授,这通常不是一项危险的工作”:互联网引发的骚扰及其对研究人员的影响
DOI: 10.1145/3476082
发表时间: 2021
期刊: Proceedings of the ACM on Human-Computer Interaction
影响因子: --
作者: [Doerfler, Periwinkle, Forte, Andrea, De Cristofaro, Emiliano, Stringhini, Gianluca, Blackburn, Jeremy, McCoy, Damon]
通讯作者: McCoy, Damon
DOI: 10.1109/sp46214.2022.9833706
发表时间: 2021-12
期刊: 2022 IEEE Symposium on Security and Privacy (SP)
影响因子: --
作者: [Mohammad Hammas Saeed;Shiza Ali;Jeremy Blackburn;Emiliano De Cristofaro;Savvas Zannettou;G. Stringhini]
通讯作者: Mohammad Hammas Saeed;Shiza Ali;Jeremy Blackburn;Emiliano De Cristofaro;Savvas Zannettou;G. Stringhini
Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos
拍打猫、摇头和奥利奥奶昔:了解 TikTok 短视频中的病毒式传播指标
DOI: 10.1145/3501247.3531551
发表时间: 2022
期刊: ACM Conference on Web Science
影响因子: --
作者: [Ling, Chen, Blackburn, Jeremy, De Cristofaro, Emiliano, Stringhini, Gianluca]
通讯作者: Stringhini, Gianluca
DOI: 10.1109/bigdata52589.2021.9671843
发表时间: 2021-03
期刊: 2021 IEEE International Conference on Big Data (Big Data)
影响因子: --
作者: [Yuping Wang;Savvas Zannettou;Jeremy Blackburn;B. Bradlyn;Emiliano De Cristofaro;G. Stringhini]
通讯作者: Yuping Wang;Savvas Zannettou;Jeremy Blackburn;B. Bradlyn;Emiliano De Cristofaro;G. Stringhini
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    • 批准号:
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    • 项目类别:
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    • 资助金额:
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    • 财政年份:
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    • 负责人:
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    • 财政年份:
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    • 负责人:
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    • 批准号:
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    • 项目类别:
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    • 资助金额:
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    • 批准年份:
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    • 负责人:
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    • 依托单位:
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