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Daniel Trielli

 College Park, Maryland, USA.
Assistant Professor, School of Communication, University of Maryland.


Daniel Trielli is an Assistant Professor at the University of Maryland. He researches how news reaches the public in our increasingly algorithmically-defined world and how journalists can cover algorithms. Before his life in academia, he was a journalist for about a decade in his native country of Brazil.

Scholarly beginnings

A research idea

Envisioning possible futures in the field of communication and media studies

Learn more about Prof. Trielli’s journey

Selected readings

Shin, D., Hameleers, M., Park, Y. J., Kim, J. N., Trielli, D., Diakopoulos, N., … Baumann, S. (2022). Countering Algorithmic Bias and Disinformation and Effectively Harnessing the Power of AI in Media. Journalism & Mass Communication Quarterly, 99(4), 887–907.

Trielli, Daniel, & Diakopoulos, N. (2022). Algorithmic Agenda-Setting: The Shape of Search Media During the 2020 US Election. #ISOJ Journal, (AI and the News), 45.

Trielli, Daniel, & Diakopoulos, N. (2020). Partisan search behavior and Google results in the 2018 U.S. midterm elections. Information, Communication & Society.

Trielli, Daniel, & Diakopoulos, N. (2020). How Journalists Can Systematically Critique Algorithms. Computation + Journalism Symposium.

Trielli, Daniel, & Diakopoulos, N. (2019). Search as news curator: The role of Google in shaping attention to news information. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–15.


Watch Prof. Trielli present “Studying the Complex System of Algorithmic Media Curation” at the Center for Latinx Digital Media

Listen to Prof. Trielli’s insights about his professional journey in El Café Latinx podcast