Tim Weninger
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Article
An AI Early Warning System to Monitor Online Disinformation, Stop Violence, and Protect Elections
By: Walter Scheirer, Tim Weninger, Michael Yankoski
Appeared In: Bulletin of the Atomic Scientists
The authors are developing an AI early warning system to monitor how manipulated content online—such as altered photos in memes—leads, in some cases, to violent conflict and societal instability.
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Article
Meme Warfare: AI countermeasures to disinformation should focus on popular, not perfect, fakes
By: Walter Scheirer, Tim Weninger, Michael Yankoski
Appeared In: Bulletin of the Atomic Scientists
From QAnon conspiracy theories to Russian government-sponsored election interference, social media disinformation campaigns are a part of online life, and identifying these threats is a challenge.
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Article
Automatic Discovery of Meme Genres with Diverse Appearances
By: Joel Brogan, Daniel Moreira, Pascal Phoa, Walter Scheirer, William Theisen, Pamela Bilo Thomas, Tim Weninger
Appeared In: Proceedings of the International AAAI Conference on Web and Social Media
This paper introduces a scalable automated visual recognition pipeline for discovering meme genres of diverse appearance, work relevant to the study of political disinformation campaigns.
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Article
Analysis of Moral Judgment on Reddit
By: Nicholas Botzer, Shawn Gu, Tim Weninger
Appeared In: IEEE Transactions on Computational Social Systems
Moral outrage has become synonymous with social media in recent years. However, the preponderance of academic analysis on social media websites has focused on hate speech and misinformation. This article aims to help address that gap.
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Article
Subreddit Links Drive Community Creation and User Engagement on Reddit
By: Rachel Krohn, Tim Weninger
Appeared In: Proceedings of the International AAAI Conference on Web and Social Media
Krohn and Weninger have undertaken a study on subreddit links on Reddit, with the goal of understanding their impact on both the referenced subreddit, and on the subreddit landscape as a whole.