Elite & Mass Political Behavior
Politicians, celebrities, and other major figures have a big influence on society. They drive conversations, determine policy, and set fashion trends. Our researchers examine the response of political elites to our new media environment, and the impact of social media on political behavior.
Academic Research
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Book
Online Data and the Insurrection
Media and January 6th, 2024
Online data is key to understanding the leadup to the January 6 insurrection, including how and why election fraud conspiracies spread online, how conspiracy groups organized online to participate in the insurrection, and other factors of online life that led to the insurrection. However, there are significant challenges in accessing data for this research. First, platforms restrict which researchers get access to data, as well as what researchers can do with the data they access. Second, this data is ephemeral; that is, once users or the platform remove the data, researchers can no longer access it. These factors affect what research questions can ever be asked and answered.
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Working Paper
Large Language Models Can Be Used to Estimate the Latent Positions of Politicians
Working Paper, September 2023
Existing approaches to estimating politicians' latent positions along specific dimensions often fail when relevant data is limited. We leverage the embedded knowledge in generative large language models (LLMs) to address this challenge and measure lawmakers' positions along specific political or policy dimensions. We prompt an instruction/dialogue-tuned LLM to pairwise compare lawmakers and then scale the resulting graph using the Bradley-Terry model. We estimate novel measures of U.S. senators' positions on liberal-conservative ideology, gun control, and abortion. Our liberal-conservative scale, used to validate LLM-driven scaling, strongly correlates with existing measures and offsets interpretive gaps, suggesting LLMs synthesize relevant data from internet and digitized media rather than memorizing existing measures. Our gun control and abortion measures -- the first of their kind -- differ from the liberal-conservative scale in face-valid ways and predict interest group ratings and legislator votes better than ideology alone. Our findings suggest LLMs hold promise for solving complex social science measurement problems.
Reports & Analysis
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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.
June 14, 2023
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Analysis
Latinos Who Use Spanish-Language Social Media Get More Misinformation
That could affect their votes — and their safety from covid-19.
November 8, 2022
News & Commentary
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News
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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Policy
CSMaP Files Amicus Brief in Supreme Court Social Media Cases
When the Supreme Court considers the Florida and Texas laws, it should craft rulings that leave ample room for legislative and regulatory efforts to mandate transparency and access to data.
December 7, 2023