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Online Misinformation Most Likely to be Believed by Ideological Extremists, New Study Shows
Findings reveal the importance of quickly addressing the spread of falsehoods
September 30, 2024
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News
What CSMaP Experts Are Watching Ahead of the 2024 Election: Part Three
From Kamala Harris memes to the nationalization of elections to election denialism, part three of our new series highlights several areas we’re looking at this year.
July 31, 2024
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What CSMaP Experts Are Watching Ahead of the 2024 Election: Part Two
From foreign influence campaigns to the role of WhatsApp to social media data access, part two of our new series highlights several areas we’re looking at this year.
July 17, 2024
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What CSMaP Experts Are Watching Ahead of the 2024 Election
From generative AI and misinformation, to young voters and TikTok, part one of our new series highlights several areas we’re looking at this year.
July 10, 2024
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Launching the AI Political Archive
Through online submissions and research by our team, this new joint project seeks to track the full range of uses of generative AI across local, state, and national races in 2024.
July 8, 2024
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News
Where Do Nextdoor Communities Exist — And What Do These Communities Talk About?
Study provides new data about Nextdoor, America’s most popular hyperlocal platform
May 29, 2024
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Event Recap: The Future of Search in the Age of AI
How do search engines influence the information landscape — and what role could AI play going forward? We convened experts from academia, journalism, and industry to discuss these questions and more.
May 17, 2024
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Jennifer Allen and Christopher Barrie to Join CSMaP and NYU Faculty
At CSMaP, Allen and Barrie will serve as core faculty members leading research projects on urgent topics related to digital media and democracy.
May 1, 2024
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Evaluating the Truthfulness of Fake News Through Online Searches Increases the Chances of Believing Misinformation
Surprising study results show limits of using recommended steps to debunk false content
December 20, 2023
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2023 Year in Review: Our Research & Impact
A look at our top articles, events, and more from the past year.
December 18, 2023
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First Four Papers from US 2020 Facebook & Instagram Research Election Study Published in Science and Nature
Unprecedented research in the context of the 2020 presidential election reveals algorithms are extremely influential in people’s on-platform experiences and there is significant ideological segregation in political news exposure but, among consenting study participants, changes to critical aspects of the algorithms that determine what they saw did not sway political attitudes.
July 27, 2023
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Twitter’s Transparency Theater
Elon Musk has said that increasing transparency on Twitter is one of his highest priorities, but his actions show otherwise.
April 18, 2023
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Dr. Solomon Messing Joins CSMaP as Research Associate Professor
As a leader in applied data science with high-level experience across Twitter, Meta, and Pew, Messing will leverage his strong technical background and deep knowledge of the platforms to expand CSMaP’s research capacity.
January 31, 2023
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Exposure to Russian Twitter Campaigns in 2016 Presidential Race Highly Concentrated, Largely Limited to Strongly Partisan Republicans
New study shows online push by foreign disinformation accounts didn’t change attitudes or voting behavior — but the disinformation effort may still have had consequences.
January 9, 2023
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2022 Year in Review: Our Research & Impact
A look at our top articles, events, and more from the past year.
December 19, 2022
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Siegel Family Endowment Renews Support for CSMaP Research
The grant will help us conduct cutting-edge research and advance evidence-based public policy. It also supports research from Tiago Ventura, a CSMaP postdoc who will join the latest cohort of Siegel Research Fellows.
November 16, 2022
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CSMaP Wins 2022 APSA Award
Our scholars won Best Article in the Information Technology and Politics Section.
September 20, 2022
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YouTube More Likely to Direct Election-Fraud Videos to Users Already Skeptical about 2020 Election’s Legitimacy
New study shows how site’s algorithms perpetuate existing misperceptions.
September 1, 2022
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Does Presenting Credibility Labels of Journalistic Sources Affect News Consumption? New Study Finds Limited Effects
On average, source credibility labels don’t change whether someone reads low-quality news sources — but it does appear to improve the news diet quality of the heaviest consumers of misinformation.
May 6, 2022
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How Pro-Regime Bots are Used in Russia to Demobilize Opposition and Manipulate Public Perception
In a new paper, we investigate how pro-regime bots employ a variety of tactics to prevent, suppress, or react to offline and online opposition activities in Russia, finding online activities produce stronger reactions than offline protests.
February 21, 2022
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2021 Year in Review: Our Research & Impact
A look at our top articles, events, and more from the past year.
January 5, 2022
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News
A Conversation About Reducing Harm on Social Media
Recap of our recent event with academic, policy, and tech experts on how to make social media a safer and more civil place.
December 20, 2021
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Warnings May Reduce Hate Speech on Twitter, New Study Finds
Warning users of the potential consequences of their behavior can temporarily reduce their hateful language.
November 22, 2021
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New Study: Can Ordinary Users Effectively Fact Check Fake News in Real Time?
Social media companies have suggested using ordinary users to assess the veracity of news articles and combat misinformation, but a new paper finds this is likely not a viable solution.
October 28, 2021
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Launching Multilingual Research Project Studying Election Disinformation
Craig Newmark Philanthropies donates $350,000 to fund new multilingual research on the types of disinformation communities are exposed to during elections.
September 13, 2021
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