Real-time Rumor Debunking on Twitter
Abstract
In this paper, we propose the first real time rumor debunking algorithm for Twitter. We use cues from 'wisdom of the crowds', that is, the aggregate 'common sense' and investigative journalism of Twitter users. We concentrate on identification of a rumor as an event that may comprise of one or more conflicting microblogs. We continue monitoring the rumor event and generate real time updates dynamically based on any additional information received. We show using real streaming data that it is possible, using our approach, to debunk rumors accurately and efficiently, often much faster than manual verification by professionals.
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Liu et al. (2015) proposed verification features based on journalist insights and showed their approach outperformed the Yang et al. (2012) and Castillo et al. (2011) baselines.
“The authors showed that the proposed approach outperformed the two baselines.”
From Detection and Resolution of Rumours in Social Media (2019) · cites this paper as Liu et al. (2015)
Liu et al. (2015) showed that adding belief identification to other features significantly improved results.
“They also showed that, when adding the belief identification to the other features, the results were significantly better than when not adding them to the feature set.”
From Detection and Resolution of Rumours in Social Media (2019) · cites this paper as Liu et al. (2015)
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References 10 · Cited by 391
- Authors
- Liu, X., Nourbakhsh, A., Li, Q., Fang, R., & Shah, S.
- Affiliations
- Thomson Reuters (United States) (US)
- Venue
- Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
- Publisher
- ACM
- Published
- 2015-10-17
- Pages
- 1867-1870
- ISSN
- 2155-0751 (ISSN-L)
- OpenAlex
- W2051405935
- Cited by
- 391
- References
- 10
- Citations by year
- 2026: 15 · 2025: 25 · 2024: 44 · 2023: 44 · 2022: 36 · 2021: 59 · 2020: 48 · 2019: 57 · 2018: 29 · 2017: 23 · 2016: 10 · 2015: 1
- FWCI
- 76.56
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM International Conference on Information and Knowledge Management (CIKM) (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- rumor debunking, Twitter, real-time information retrieval, wisdom of crowds, microblogging, dynamic updating, social media verification
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