Election Result
Election result analysis is a rapidly evolving field focusing on improving the fairness, accuracy, and security of electoral processes. Current research emphasizes developing novel algorithms and models, such as adaptive questionnaires for voting advice applications, machine learning frameworks for detecting fake news and identifying bots, and agent-based simulations to model electoral outcomes under various conditions. These advancements aim to enhance the understanding of voter behavior, improve election administration, and ultimately contribute to more credible and representative elections.
Papers
Uchaguzi-2022: A Dataset of Citizen Reports on the 2022 Kenyan Election
Roberto Mondini, Neema Kotonya, Robert L. Logan IV, Elizabeth M Olson, Angela Oduor Lungati, Daniel Duke Odongo, Tim Ombasa, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes
Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation
Vipula Rawte, Deja N Scott, Gaurav Kumar, Aishneet Juneja, Bharat Sowrya Yaddanapalli, Biplav Srivastava