I'm a PhD student in Information Science and a Digital Life Initiative fellow at Cornell. I research how people evaluate digital information and how their biases may undermine the deliberative foundations of democratic societies. I design AI systems to support citizen's decisions, trying to make the best of what we know about the cognitive and digital. I'm excited about social-psychological models, computational methods, machine learning, and causal inference.
AI-Mediated Communication: How Profile Generation by AI Affects Perceived Trustworthiness.
Jakesch, M., French, M., Ma, X., Hancock, J.T. & Naaman, M. – Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM.
We take first look at how AI-Mediated Communication – interpersonal communication not only mediated by technology but optimized by an AI-in-the-middle – affects trust.
The Role of Source, Headline and Expressive Responding in Political News Evaluation.
Jakesch, M., Koren, M., Evtushenko, A. & Naaman, M. – Computation + Journalism Symposium 2019
Through the novel use of source-headline-randomization we estimate the separate influences of article content and perceptions of publisher politics on news evaluations.
Maurice Jakesch joined Cornell University Department of Information Science in 2017. As a PhD student he is advised by Mor Naaman and works with the Social Technologies Lab at Cornell Tech. Maurice is a doctoral fellow at the Cornell Digital Life Initiative and has been supported by the German National Academic Foundation and the Graduate Network of Bavaria. He holds a BSc in Electrical Engineering from ETH Zurich, an MSc in Information Technology from the Hong Kong University of Science & Technology, as well as an honors degree in Technology Management and an MA in Philosophy of Science and Technology from the Technical University of Munich. He has interned with the Facebook Core Data Science team, the GE Digital Foundries and BMW's digital innovation team. He helped setting up TeleClinic, Germany's first eHealth platform, and volunteers for MIT D-Lab's Innovation Network.