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

Topics

• Rumour detection
• Veracity Assessment
• Information Spread