I'm a PhD student in Information Science at Cornell where I'm a fellow at the Digital Life Initiative. I work on trust, credibility and truth in digital worlds. I explore them in the context of misinformation and algorithmic systems. I'm excited about computational methods and causal inference. I also like climbing, running and philosophy.
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 in 2017 as a Ph.D. student in the Department of Information Science. 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 Facebook Core Data Science, GE's Digital Foundries, BMW, and helped develop Germany's first eHealth platform. Maurice volunteers for MIT D-Lab's Innovation Network.