Work

For a referenced list, visit my Google Scholar profile.

Jakesch, M., French, M., Ma, X., Hancock, J. T., & Naaman, M. (2019). AI-Mediated Communication: How the perception that profile text was written by AI affects trustworthiness. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.

Jakesch, M., Koren, M., Evtushenko, A. & Naaman, M. (2019). Source, Headline and Expressive Responding in Political News Evaluation. Computation + Journalism Symposium 2019.

Jakesch, M., Koren, M., Evtushenko, A. & Naaman, M. (2019). The Social Influence of Political Crowds in News Evaluation. Workshop Paper. 2019 ACM Conference on Economics and Computation.

Jakesch, M., Koren, M., Evtushenko, A. & Naaman, M. (2020). How Partisan Crowds Affect News Evaluation. Proceedings of the 2020 Conference for Truth and Trust Online.

Jakesch, M., Garimella, K., Naaman, M., Eckles, D. (2020), Information Operations between WhatsApp and Twitter in the Indian General Elections. IC2S2 6th International Conference on Computational Social Science.

Jakesch, M., Garimella, K., Eckles, D., Naaman, M. (2021), #Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election. arXiv preprint.