Jonathan Nagler
Related Research & News
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    Journal ArticleTesting the Effect of Information on Discerning the Veracity of News in Real TimeJournal of Experimental Political Science, 2023 
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    Journal ArticleReplicating the Effects of Facebook Deactivation in an Ethnically Polarized SettingResearch & Politics, 2023 
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    Working PaperLarge Language Models Can Be Used to Estimate the Latent Positions of PoliticiansWorking Paper, September 2023 
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    PolicyWhite House OSTP Comments on AIIn 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. July 7, 2023 
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    Journal ArticleMeasuring the Ideology of Audiences for Web Links and Domains Using Differentially Private Engagement DataProceedings of the International AAAI Conference on Web and Social Media, 2023 
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    PolicyFeedback on EU Article 40In 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. May 23, 2023 
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    Journal ArticleExposure to the Russian Internet Research Agency Foreign Influence Campaign on Twitter in the 2016 US Election and Its Relationship to Attitudes and Voting BehaviorNature Communications, 2023 
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    CommentaryMusk’s Twitter Shake-Up Could Deliver a Critical Blow to Social Media ResearchWe 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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    AnalysisLatinos Who Use Spanish-Language Social Media Get More MisinformationThat could affect their votes — and their safety from covid-19. November 8, 2022 
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    Journal ArticleDictionary-Assisted Supervised Contrastive LearningProceedings of the Conference on Empirical Methods in Natural Language Processing, 2022 
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    Journal ArticleUsing Social Media Data to Reveal Patterns of Policy Engagement in State LegislaturesState Politics & Policy Quarterly, 2022 
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    AnalysisEcho Chambers, Rabbit Holes, and Ideological Bias: How YouTube Recommends Content to Real UsersWe find that YouTube’s recommendation algorithm does not lead the vast majority of users down extremist rabbit holes, although it does push users into increasingly narrow ideological ranges of content in what we might call evidence of a (very) mild ideological echo chamber. October 13, 2022 
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    Journal ArticleMost Users Do Not Follow Political Elites on Twitter; Those Who Do, Show Overwhelming Preferences for Ideological Congruity.Science Advances, 2022 
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    Journal ArticleElection Fraud, YouTube, and Public Perception of the Legitimacy of President BidenJournal of Online Trust and Safety, 2022 
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    Journal ArticleWhat We Learned About The Gateway Pundit from its Own Web Traffic DataWorkshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022 
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    Working PaperEcho Chambers, Rabbit Holes, and Algorithmic Bias: How YouTube Recommends Content to Real UsersWorking Paper, May 2022 
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    Journal ArticleNews Credibility Labels Have Limited Average Effects on News Diet Quality and Fail to Reduce MisperceptionsScience Advances, 2022 
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    PolicyThe Social Media Data We Need to Answer Key Research QuestionsAhead of a Senate Judiciary Subcommittee hearing on platform transparency, we submitted a letter outlining the type of research questions we want to answer — and the social media data we need to answer them. May 4, 2022 
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    Journal ArticleWhat’s Not to Like? Facebook Page Likes Reveal Limited Polarization in Lifestyle PreferencesPolitical Communication, 2021 
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    Journal ArticleShort of Suspension: How Suspension Warnings Can Reduce Hate Speech on TwitterPerspectives on Politics, 2023