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Published in Netsci 2021, 2021
This talk presents an analysis of the social networks formed by Turkish Members of Parliament on Twitter. It examines how these networks reflect political polarization and contribute to the shaping of online public discourse.
Published in APSA 2023, 2023
This study, presented at APSA 2023, investigates the impact of Elon Musk’s acquisition of Twitter on misinformation dynamics and partisan alignment. It highlights shifts in the platform’s ecosystem and their implications for political discourse and democratic engagement.
Published in Stanford Trust and Safety Conference, 2024
Presented at the Stanford Trust and Safety Conference 2024, this study explores the shifts in misinformation and partisan composition on social media platforms following Elon Musk’s acquisition of Twitter. It examines changes in the spread of misinformation, the alignment of users’ ideological composition, and the implications for public discourse in the digital era.
Published in APSA 2024, 2024
Presented at APSA 2024, this study investigates the structure and dynamics of online networks, focusing on segregation in user interactions and information dissemination. The findings provide insights into how digital platforms influence social and political engagement through networked environments.
Published in Journal of Quantitative Description: Digital Media, 2025
Examines Google’s prioritization of political information in search results when users search for elected officials.
Recommended citation: Wan, A., Guo, Z., Ozturan, B., Robertson, R., & Lazer, D. (2025). Searching for Elected Officials: Google’s Prioritization of Political Information. Journal of Quantitative Description: Digital Media, 5. https://doi.org/10.51685/jqd.2025.022
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Published in Harvard Kennedy School (HKS) Misinformation Review, 2025
Finds that information quality declined following changes in platform governance under new ownership.
Recommended citation: Özturan, B., Quintana-Mathe, A., Grinberg, N., Ognyanova, K., & Lazer, D. (2025). Declining information quality under new platform governance. Harvard Kennedy School (HKS) Misinformation Review. https://doi.org/10.37016/mr-2020-176
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Investigates how individuals’ political beliefs shape their trust in information generated by AI systems.
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Analyzes large-scale social media data to measure the concentration of information across users and sources, showing that a small number of outlets and highly active users dominate online information ecosystem, revealing structural inequalities in who gets seen and heard in digital spaces.
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Uses large-scale social media data matched to U.S. voter records to measure demographic segregation in information exposure. Shows that age- and gender-based divisions are equally strong as ideology using survey experiments.
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Conducted a large-scale behavioral analysis of political news exposure on mobile-phone, revealing that most U.S. adults now encounter political content indirectly through social media and messaging apps rather than traditional news outlets.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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