World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7497
World Ranking
8008
National Ranking
480

Overview

Arkaitz Zubiaga is affiliated with Queen Mary University of London in the United Kingdom and specializes primarily in computer science. Their research portfolio includes 217 publications within this field, with a strong focus on artificial intelligence, which accounts for 177 of these works. Other subfields of study include sociology and political science, information systems, statistical and nonlinear physics, and computer vision and pattern recognition.

The scope of their research covers a range of topics, notably:

  • Topic Modeling
  • Hate Speech and Cyberbullying Detection
  • Misinformation and Its Impacts
  • Sentiment Analysis and Opinion Mining
  • Natural Language Processing Techniques
  • Spam and Phishing Detection
  • Advanced Text Analysis Techniques

Zubiaga's frequent publication venues reflect engagement with various academic communities. The most common platforms include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • PeerJ Computer Science
  • Zenodo (CERN European Organization for Nuclear Research)
  • Online Social Networks and Media

Their recent papers illustrate a sustained interest in language technologies, misinformation, and hate speech detection. Selected recent works include:

  • "Towards generalisable hate speech detection: a review on obstacles and solutions" (2021, PeerJ Computer Science)
  • "Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover" (2021, PeerJ Computer Science)
  • "Automated fact-checking: A survey" (2021, Language and Linguistics Compass)
  • "Toward Automated Factchecking" (2021, Digital Threats Research and Practice)
  • "Online Multilingual Hate Speech Detection: Experimenting with Hindi and English Social Media" (2020, Information)

Collaboration plays a significant role in Zubiaga's research. Frequent co-authors include:

  • Maria Liakata
  • Rabab Alkhalifa
  • Aiqi Jiang
  • Elena Kochkina
  • Peiling Yi

Best Publications

  • Detection and Resolution of Rumours in Social Media: A Survey

    Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata

  • Analysing how people orient to and spread rumours in social media by looking at conversational threads

    Arkaitz Zubiaga;Maria Liakata;Rob Procter;Geraldine Wong Sak Hoi

  • SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

    Leon Derczynski;Kalina Bontcheva;Maria Liakata;Rob Procter

  • Exploiting Context for Rumour Detection in Social Media

    Arkaitz Zubiaga;Maria Liakata;Maria Liakata;Rob Procter;Rob Procter

  • SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours

    Genevieve Gorrell;Elena Kochkina;Maria Liakata;Ahmet Aker

  • Real-time classification of Twitter trends

    Arkaitz Zubiaga;Damiano Spina;Raquel Martínez;Víctor Fresno

  • Towards generalisable hate speech detection: a review on obstacles and solutions.

    Wenjie Yin;Arkaitz Zubiaga

  • Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media.

    Arkaitz Zubiaga;Maria Liakata;Rob Procter

  • Discourse-aware rumour stance classification in social media using sequential classifiers

    Arkaitz Zubiaga;Elena Kochkina;Elena Kochkina;Maria Liakata;Maria Liakata;Rob Procter;Rob Procter

  • All-in-one: Multi-task Learning for Rumour Verification

    Elena Kochkina;Maria Liakata;Arkaitz Zubiaga

  • Hawkes processes for continuous time sequence classification : an application to rumour stance classification in Twitter

    Michal Lukasik;P. K. Srijith;Duy Vu;Kalina Bontcheva

  • Tweet, but verify: epistemic study of information verification on Twitter

    Arkaitz Zubiaga;Heng Ji

  • A DP-based Search Using Monotone Alignments in Statistical Translation

    Christoph Tillmann;Stephan Vogel;Hermann Ney;Alex Zubiaga

  • Towards real-time summarization of scheduled events from twitter streams

    Arkaitz Zubiaga;Damiano Spina;Enrique Amigó;Julio Gonzalo

  • Classifying trending topics: a typology of conversation triggers on Twitter

    Arkaitz Zubiaga;Damiano Spina;Víctor Fresno;Raquel Martínez

  • Towards detecting rumours in social media

    Arkaitz Zubiaga;Maria Liakata;Rob Procter;Kalina Bontcheva

  • Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter

    Bo Wang;Arkaitz Zubiaga;Maria Liakata;Rob Procter

  • Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations

    Arkaitz Zubiaga;Elena Kochkina;Maria Liakata;Rob Procter

  • Feature-based detection of automated language models: Tackling GPT-2, GPT-3 and Grover

    Leon Fröhling;Arkaitz Zubiaga

  • A longitudinal assessment of the persistence of twitter datasets

    Arkaitz Zubiaga

  • Enhancing Navigation on Wikipedia with Social Tags

    Arkaitz Zubiaga

Frequent Co-Authors

Maria Liakata
Maria Liakata Queen Mary University of London
Rob Procter
Rob Procter University of Warwick
Kalina Bontcheva
Kalina Bontcheva University of Sheffield
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Trevor Cohn
Trevor Cohn University of Melbourne
Mark Rouncefield
Mark Rouncefield Lancaster University
Yulan He
Yulan He King's College London
Julio Gonzalo
Julio Gonzalo National University of Distance Education
Nicholas Diakopoulos
Nicholas Diakopoulos Northwestern University
Isabelle Augenstein
Isabelle Augenstein University of Copenhagen

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