Scholar
Björn Ross
Google Scholar ID: RQ2zK8QAAAAJ
University of Edinburgh
Citations & Impact
Citations
3,526
H-index
22
i10-index
35
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'The Insight-Inference Loop: Efficient Text Classification via Natural Language Inference and Threshold-Tuning,' 'Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster,' 'Potential Pitfalls With Automatic Sentiment Analysis: The Example of Queerphobic Bias,' '#OpinionLeaders: A comparison of self-reported and observable influence of Twitter users,' 'Caution: Rumors ahead – The debunking of false information on social media,' and 'Are social bots a real threat? An agent-based model of the spiral of silence to analyse the impact of manipulative actors in social networks.'
Research Experience
- Currently a Reader (Associate Professor) in Computational Social Science at the University of Edinburgh School of Informatics. Also, Deputy Director of the Institute for Language, Cognition and Computation, Co-Director of the SMASH group, and part of the management team of the CDT in NLP. Helps run the Social Data Science Hub. Previously, a postdoctoral researcher at the University of Duisburg-Essen.
Education
- PhD from University of Duisburg-Essen in 2019; MSc in Computer Science from University of Münster in 2016; Exchange year at University of Strasbourg from 2014-2015; BSc in Information Systems from University of Münster in 2013.
Background
- Reader (Associate Professor) in Computational Social Science, with research interests in computational social science, social computing, information systems, social media analytics and communication, social network analysis, agent-based modelling and simulation, natural language processing, and text classification. His research focuses on various aspects of social media, such as misinformation, hate speech, and the malicious use of automation (bots). He also examines issues with these methods, including data collection practices, fairness, bias, and AI ethics.
Miscellany
- Serves as an Associate Editor of Business & Information Systems Engineering, in the Senior Programme Committee of ICWSM, and was Ethics Co-Chair of ACL 2025.
