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Session Submission Type: Full Paper Panel
This panel examines the political implications of Artificial Intelligence, on citizens' political participation, belief formation, and behavior in the labor market.
Messing et al. uncover and quantifie the presence of political propaganda in commonly used training data for AI and show it has downstream impact on the output of AI.
Dietrich et al. use an online experiment to study the effect of generative AI on the political communication between citizens and elected political representatives.
Margalit and Raviv use a field experiment to examine workers' responses to algorithmic management and their support for policy responses to AI automation.
Scurrell explores the persuasive and manipulative effects of large language model-based chatbots on citizens' political opinions.
Propaganda and AI - Hannah Waight, New York University; Eddie Yang, University of California, San Diego; Solomon Messing, New York University; Margaret E Roberts, University of California, San Diego; Brandon Michael Stewart, Princeton University; Joshua A. Tucker, New York University; Yin Yuan, University of California, San Diego
The Second Order Effects of LLMs and Generative AI on Political Communication - Bryce Dietrich, Purdue University; Kaylyn Jackson Schiff, Purdue University; Daniel S. Schiff, Purdue University
How AI Automation Affects Workers’ Performance and Political Preferences - Shir Raviv, Columbia University; Yotam Margalit, Tel Aviv University
How Bots Influence Political Opinion Formation in Online Social Networks - Jennifer Victoria Scurrell, ETH Zurich