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Presenting UCLA’s first conference on

Data-Informed Governance (DIG)

July 7, 2021

Online, starting at 8 a.m. PDT

REGISTER NOW

Watch three panel discussions featuring experts and peers from the public, private, and civic sectors.

Exchange innovative, actionable approaches to real-world policy issues.

Find out why it is increasingly critical for state and local governments to become technology proficient, using data to inform critical policy decisions.

Join with participants from a wide spectrum of organizations and geographies – from local nonprofits to national research institutes, small cities to regional governing bodies.

LEARN MORE

The DIG Conference is a convening of people from diverse backgrounds that aims to demonstrate the potential for structured peer-to-peer learning on this subject. This cross-section of attendee profiles encourages the advancement of data-centric solutions for public policy that are accessible, scalable, and pragmatic.


DIG is made possible thanks to the support of the UCLA Luskin School of Public Affairs, the Luskin Center for Innovation at UCLA, the College of Social Sciences, the LA Social Science Initiative, the Anderson School of Management, the Ziman Center for Real Estate, and Impact@Anderson.

UCLA Big Data and Politics Seminar Series

The Prevalence and Sharing Patterns of “Fake News” in the US in 2016 and 2020

David Lazer
University Distinguished Professor of Political Science and Computer Sciences

Co-Director of NULab for Texts, Maps, and Networks

Northeastern University

Friday, May 14, 12:00 PM – 1:30 PM PT

Zoom link: https://ucla.zoom.us/j/97899586814

Abstract: This presentation discusses the prevalence and sharing patterns of “fake news” in the United States in 2016 (regarding the election) and 2020 (regarding COVID-19). Substantively, the questions asked are: How common is fake news, as a specific genre of misinformation, been on Twitter? How concentrated are exposure and sharing patterns? And how does fake news fit into the broader information ecosystem on Twitter? Methodologically, the focus will in part be on the development of panels of accounts that are linked to administrative data as a method to measure aggregate behaviors on social media.

UCLA Big Data and Politics Seminar Series

Legislative Communication and Power:

Measuring Leadership in the U.S. House

of Representatives from Social Media

Daniel Ebanks

ABD, California Institue of Technology

R. Michael Alvarez

Professor, California Institute of Technology

with

Hao Yan (Facebook)

Sanmay Das (GMU)

Betsy Sinclair (WUSTL)

Friday, April 30, 12:30 PM – 2:00 PM PT

Zoom Link: https://ucla.zoom.us/j/95015937122

Abstract:  Who leads and who follows in Congress? By leveraging the Twitter accounts of members of the U.S. House of Representatives, this paper develops a new understanding of House leadership power using innovative natural language processing methods. Formal theoretic work on congressional leadership suggests a tension in legislative party members’ policy stances as they balance between a coordination problem and an information problem. When their coordination problem is more pressing, the model predicts that legislative members will follow their party leaders’ policy positions. But when the information problem is more acute, party members coordinate and effectively give their leaders direction for the party’s agenda. We test these hypotheses with novel and dynamic policy influence measurements. Specifically, we exploit the network structure of retweets to derive measures of House leadership centrality within each party. We then employ Joint Sentiment Topic modeling to quantify the discussion space for House members on Twitter. Our results partially support the theoretical insights. For policies where there is an information problem, House leaders do not generally initiate policy discussion on Twitter, although they do so more often than rankandfile members. Moreover, increases in House leaders’ propensity to discuss a sentimenttopic results in meaningful increases in rankandfile members’ propensities to discuss those same sentimenttopics. In line with the theoretical prediction, we also find that as the barriers to coordination in policy stances within a party increases, House party leaders hold more central and arguably more powerful roles within their party. Nonetheless, in contrast both to the theoretical predictions as well as to the existing scholarship on House congressional leadership, we find that rankandfile members exert influence over House party leaders, and moreover that rankandfile influence is larger in magnitude than that of House party leadership.