Tuğrulcan Elmas
Computer Science · Indiana University
Publications
31
Citations
151
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2015
Tuğrulcan Elmas studies how social media platforms are manipulated, focusing on detecting coordinated campaigns, bots, fake trends, and disinformation, as well as measuring censorship and content virality. Much of this work involves building datasets and detection methods using platforms like Twitter (X) and YouTube. Recent projects also explore using large language models for analyzing online political content.
Publication activity has been steady to growing over recent years, averaging around 3.6 papers per year over the last five years with a peak of eight in 2021.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
Proceedings of the International AAAI Conference on Web and Social Media · 2025
- Density-Aware Walks for Coordinated Campaign Detection
Lecture notes in computer science · 2025
- State & Geopolitical Censorship on Twitter (X): Detection & Impact Analysis of Withheld Content
2025
- Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
arXiv (Cornell University) · 2025
- Density-aware Walks for Coordinated Campaign Detection
arXiv (Cornell University) · 2025
- Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends
2024
- #TeamFollowBack: Detection & Analysis of Follow Back Accounts on Social Media
Proceedings of the International AAAI Conference on Web and Social Media · 2024
- #TeamFollowBack: Detection & Analysis of Follow Back Accounts on Social Media
arXiv (Cornell University) · 2024
- Measuring and Detecting Virality on Social Media: The Case of Twitter’s Viral Tweets Topic
2023
- Misleading Repurposing on Twitter
Proceedings of the International AAAI Conference on Web and Social Media · 2023
- The Impact of Data Persistence Bias on Social Media Studies
2023
- Analyzing Activity and Suspension Patterns of Twitter Bots Attacking Turkish Twitter Trends by a Longitudinal Dataset
2023
- Opinion Mining from YouTube Captions Using ChatGPT: A Case Study of Street Interviews Polling the 2023 Turkish Elections
arXiv (Cornell University) · 2023
- WayPop Machine: A Wayback Machine to Investigate Popularity and Root Out Trolls
2022
- Characterizing Retweet Bots: The Case of Black Market Accounts
Proceedings of the International AAAI Conference on Web and Social Media · 2022
- arXiv (Cornell University)×13
- Proceedings of the International AAAI Conference on Web and Social Media×6
- Zenodo (CERN European Organization for Nuclear Research)×3
- Lecture notes in computer science×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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