John C. Paolillo
Social Sciences · Indiana University
Publications
54
Citations
2,446
Est. group size
—
Recurring co-author estimate
Active years
39
Publishing since 1987
John C. Paolillo studies how language and communication work on digital and social media platforms, including topics like online misinformation, how communities form around content on sites such as YouTube and Twitter, and how features like Facebook reactions carry meaning. His work also covers traditional linguistics questions, such as how words borrowed between languages change in pronunciation, and it applies statistical and network-analysis methods to language and social data.
Publication output has been fairly steady over the past decade, averaging around one to two publications per year with modest year-to-year fluctuation.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Sri Lankan Influencer Monks: Conflict and Intolerance on Social Media
Journal of Religion Media and Digital Culture · 2025
- The awkward semantics of Facebook reactions
First Monday · 2023
- YouTube COVID-19 Vaccine Misinformation on Twitter: Platform Interactions and Moderation Blind Spots
arXiv (Cornell University) · 2022
- Revisiting Phonetic Integration in Bilingual Borrowing
Language · 2020
- Revisiting phonetic integration in bilingual borrowing
Language · 2020
- Against 'Sentiment'
2019
- A Network View of Social Media Platform History: Social Structure, Dynamics and Content on YouTube
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2019
- The Flat Earth phenomenon on YouTube
First Monday · 2018
- Logistic Regression Analysis of Linguistic Data
2017
- arXiv (Cornell University)×4
- Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences×3
- Language×2
- First Monday×2
- Journal of Religion Media and Digital Culture×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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