Arkaitz Zubiaga¶
Affiliation: University of Warwick, Department of Computer Science
Arkaitz Zubiaga is a researcher specializing in rumour detection and analysis of information spread in social media. He has contributed foundational work on annotation schemes and datasets for rumour verification.
Key work¶
- Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations — introduces Tree CRF for exploiting conversational structure in stance classification
- Detection and Resolution of Rumours in Social Media: A Survey — authoritative survey of rumour detection and resolution pipeline
- All-in-one: Multi-task Learning for Rumour Verification
- RumourEval 2019 — shared task extending 2017 with Reddit data
- SemEval-2017 Task 8: RumourEval — shared task on rumour veracity and stance
- PHEME project — comprehensive research on rumour and misinformation in social media
- PHEME rumour scheme dataset — annotation methodology for rumours and conversation analysis