Başak is a PhD student in Social Data Science at the Oxford Internet Institute, where she examines the transformative role of Large Language Models (LLMs) in fact-checking. Her research spans political communication, political psychology and human-AI interaction, focusing on how LLMs shape fact-checking practices. This includes exploring how professionals incorporate LLMs into their workflows, analysing the impact of chatbot-assisted fact-checking on users’ beliefs in misinformation and evaluating the effectiveness of LLM-driven interventions in curbing the spread of misinformation on social media.
Başak holds a B.S. in Computer Engineering, an M.A. in Political Science and an M.A. in Sociology.
Artificial intelligence; Natural language processing; Computational social science; Fact-checking; Misinformation.
This programme supports research on AI, Government and Policy.
This project will analyse the challenges and opportunities created by EU governments’ use of AI systems in social media monitoring during elections
31 October 2024
On November 5, around 240 million eligible US American voters across 50 states will elect the next president. In this piece, OII researchers consider the role of digital technologies in this election.
