Ceren Budak, assistant professor in the School of Information at the University of Michigan, will present "Quantifying the Role of Display Advertising in the Disinformation Ecosystem."
Ceren Budak's research interests lie in the area of computational social science. She utilizes network science, machine learning, and crowdsourcing methods and draws from scientific knowledge across multiple social science communities to contribute computational methods to the field of political communication.
- Bozarth, L., & Budak, C. (2021, May). Market forces: Quantifying the role of top credible ad servers in the fake news ecosystem. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 15, pp. 83-94). https://ojs.aaai.org/index.php/ICWSM/article/view/18043/17846
- Bozarth, L., & Budak, C. (2021). An Analysis of the Partnership between Retailers and Low-credibility News Publishers. Journal of Quantitative Description: Digital Media, 1. https://journalqd.org/article/view/2579
- Bozarth, L., Saraf, A., & Budak, C. (2020, May). Higher ground? How groundtruth labeling impacts our understanding of fake news about the 2016 US presidential nominees. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 14, pp. 48-59). https://ojs.aaai.org//index.php/ICWSM/article/view/7278
Meeting ID: 811 0481 5791
Questions? Contact Janet Eke
The Responsible Data Science and AI Speaker Series discusses topics such as explainability, reproducibility, biases, data curation and governance, and privacy. The series is co-organized by Associate Professor Jana Diesner and Assistant Professor Nigel Bosch at the iSchool at Illinois and hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS).
This event is sponsored by Center for Informatics Research in Science and Scholarship