Joshua A. Tucker
Related Research & News
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Commentary
AI Could Create a Disinformation Nightmare in the 2024 Election
Generative AI has the potential to supercharge the production and spread of disinformation on social media. In an op-ed for The Hill, Joshua A. Tucker breaks down the risks AI poses going into the 2024 election -- and what can be done to mitigate them.
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Policy
White House OSTP Comments on AI
In response to the Biden-Harris Administration's public request for information on mitigating the risks of AI, we submitted comments highlighting the importance of transparent standards for identifying and labeling AI generated content online.
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Analysis
How Americans’ Confidence in Technology Firms has Dropped
Results from the American Institutional Confidence poll's second wave show that the public's confidence in technology, and tech companies, has markedly decreased over the past five years.
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Policy
Feedback on EU Article 40
In response to the European Commission's Digital Services Act, we submitted comments highlighting the importance of data access for independent research and suggested standards for data access mechanisms.
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Commentary
Globally, Russia May Actually Not Be Losing the Information War
In the modern digital information era, information wars are always global.
February 24, 2023
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Book
Computational Social Science for Policy and Quality of Democracy: Public Opinion, Hate Speech, Misinformation, and Foreign Influence Campaigns
Handbook of Computational Social Science for Policy, 2023
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Journal Article
Exposure to the Russian Internet Research Agency Foreign Influence Campaign on Twitter in the 2016 US Election and Its Relationship to Attitudes and Voting Behavior
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Musk’s Twitter Shake-Up Could Deliver a Critical Blow to Social Media Research
We still don’t know the extent of what Musk has actually changed within Twitter. But without mandated data access for researchers, we risk never knowing their impact on society as well.
November 9, 2022
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Analysis
Latinos Who Use Spanish-Language Social Media Get More Misinformation
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Journal Article
Dictionary-Assisted Supervised Contrastive Learning
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2022