Voting and Elections Data, Articles, and Research Resources

Historical election data, while publicly available, is not in a publicly accessible format that voters could easily find and understand. As part of the Data Science Institute's Data & Democracy research initiative, Data Science Clinic students Sally North, Lisa Singh, Klaudia Barbarossa, and Jacob Chui used Large Language Models to consolidate comprehensive election results in a repository that's available to the pub....

Cornell University's Data and Democracy lab evaluated data from the November 2024 election, weighing it against some of voters' top concerns in the months before. Read more: https://www.kgw.com/article/news/local/the-story/portland-ranked-choice-vote-election-report-research-single-transferrable/283-eedb94d4-5ab0-4660-a2d3-8dc52228b007 Watch more The Story videos: https://bit.ly/TheStoryKGW Follow The Story on Twit....

How political are today’s AIs? We review a new large-scale, longitudinal study that queried 12 language models with 12,000+ election questions almost daily through the 2024 US election, the first one in history to have such widespread public access to LLMs like ChatGPT. ORIGINAL PAPER: Sarah H. Cen, Andrew Ilyas, Hedi Driss, et al., Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Elect....