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Arkaitz Zubiaga
Bronze Contributor
6,155 Points

Contributions by role

Author 740
Editor 5,415

Contributions by subject area

Artificial Intelligence
Computational Linguistics
Data Mining and Machine Learning
Natural Language and Speech
Data Science
Social Computing
Network Science and Online Social Networks
World Wide Web and Web Science
Security and Privacy
Human-Computer Interaction
Algorithms and Analysis of Algorithms
Digital Libraries
Visual Analytics
Spatial and Geographic Information Systems
Computer Networks and Communications
Adaptive and Self-Organizing Systems
Agents and Multi-Agent Systems
Autonomous Systems
Computer Vision
Optimization Theory and Computation
Scientific Computing and Simulation
Databases
Theory and Formal Methods
Text Mining
Sentiment Analysis
Neural Networks
Software Engineering
Programming Languages
Computer Education
Mobile and Ubiquitous Computing
Bronze Contributor

Arkaitz Zubiaga

PeerJ Editor & Author

Summary

I'm a senior lecturer (associate professor) at Queen Mary University of London. My research revolves around Social Data Science, interdisciplinary research bridging NLP and Computational Social Science. I'm particularly interested in linking online data with events in the real world, among others for tackling problematic issues on the Web and social media that can have a damaging effect on individuals or society at large, such as hate speech, misinformation and inequality.

Computational Linguistics Data Mining & Machine Learning Data Science Human-Computer Interaction Natural Language & Speech Network Science & Online Social Networks Sentiment Analysis Social Computing Text Mining World Wide Web & Web Science

Section Editor

Human-Computer Interaction

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Queen Mary University of London
University of Warwick

Work details

Senior Lecturer (Associate Professor)

Queen Mary University of London
March 2019
School of Electronic Engineering and Computer Science

Websites

  • Google Scholar
  • Personal site

PeerJ Contributions

  • Articles 6
  • Edited 25
May 16, 2023
Check-worthy claim detection across topics for automated fact-checking
Amani S. Abumansour, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.1365
October 25, 2022
Aggregating pairwise semantic differences for few-shot claim verification
Xia Zeng, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.1137
October 8, 2021
Abusive language detection in youtube comments leveraging replies as conversational context
Noman Ashraf, Arkaitz Zubiaga, Alexander Gelbukh
https://doi.org/10.7717/peerj-cs.742
June 17, 2021
Towards generalisable hate speech detection: a review on obstacles and solutions
Wenjie Yin, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.598
April 6, 2021
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover
Leon Fröhling, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.443
October 7, 2019
Leveraging aspect phrase embeddings for cross-domain review rating prediction
Aiqi Jiang, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.225

Academic Editor on

May 22, 2023
Scenario-feature identification from online reviews based on BERT
Xunjiang Huang, Kang Yan
https://doi.org/10.7717/peerj-cs.1398
January 30, 2023
Critical reflections on three popular computational linguistic approaches to examine Twitter discourses
Dan Heaton, Jeremie Clos, Elena Nichele, Joel Fischer
https://doi.org/10.7717/peerj-cs.1211
January 13, 2023
Unsupervised query reduction for efficient yet effective news background linking
Marwa Essam, Tamer Elsayed
https://doi.org/10.7717/peerj-cs.1191
December 15, 2022
Addressing religious hate online: from taxonomy creation to automated detection
Alan Ramponi, Benedetta Testa, Sara Tonelli, Elisabetta Jezek
https://doi.org/10.7717/peerj-cs.1128
September 28, 2022
COVID-19 mass media coverage in English and public reactions: a West-East comparison via Facebook posts
Ahmad R. Pratama, Firman M. Firmansyah
https://doi.org/10.7717/peerj-cs.1111
August 18, 2022
Investigating toxicity changes of cross-community redditors from 2 billion posts and comments
Hind Almerekhi, Haewoon Kwak, Bernard J. Jansen
https://doi.org/10.7717/peerj-cs.1059
June 21, 2022
Using social media advertisement data to monitor the gender gap in STEM: opportunities and challenges
Reham Al Tamime, Ingmar Weber
https://doi.org/10.7717/peerj-cs.994
January 3, 2022
Participation in wiki communities: reconsidering their statistical characterization
Ámbar Tenorio-Fornés, Javier Arroyo, Samer Hassan
https://doi.org/10.7717/peerj-cs.792
December 1, 2021
DPWSS: differentially private working set selection for training support vector machines
Zhenlong Sun, Jing Yang, Xiaoye Li, Jianpei Zhang
https://doi.org/10.7717/peerj-cs.799
November 18, 2021
Event classification from the Urdu language text on social media
Malik Daler Ali Awan, Nadeem Iqbal Kajla, Amnah Firdous, Mujtaba Husnain, Malik Muhammad Saad Missen
https://doi.org/10.7717/peerj-cs.775
October 27, 2021
Ask me in your own words: paraphrasing for multitask question answering
G. Thomas Hudson, Noura Al Moubayed
https://doi.org/10.7717/peerj-cs.759
October 19, 2021
Identifying vulgarity in Bengali social media textual content
Salim Sazzed
https://doi.org/10.7717/peerj-cs.665
August 20, 2021
A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media
Heng-yang Lu, Chenyou Fan, Xiaoning Song, Wei Fang
https://doi.org/10.7717/peerj-cs.688
July 29, 2021
Analysis and tuning of hierarchical topic models based on Renyi entropy approach
Sergei Koltcov, Vera Ignatenko, Maxim Terpilovskii, Paolo Rosso
https://doi.org/10.7717/peerj-cs.608
July 22, 2021
FrameAxis: characterizing microframe bias and intensity with word embedding
Haewoon Kwak, Jisun An, Elise Jing, Yong-Yeol Ahn
https://doi.org/10.7717/peerj-cs.644
June 18, 2021
Fake news detection: a survey of evaluation datasets
Arianna D’Ulizia, Maria Chiara Caschera, Fernando Ferri, Patrizia Grifoni
https://doi.org/10.7717/peerj-cs.518
May 26, 2021
Overview of current state of research on the application of artificial intelligence techniques for COVID-19
Vijay Kumar, Dilbag Singh, Manjit Kaur, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.564
May 4, 2021
News sensitive stock market prediction: literature review and suggestions
Shazia Usmani, Jawwad A. Shamsi
https://doi.org/10.7717/peerj-cs.490
May 4, 2021
Natural language inference for Malayalam language using language agnostic sentence representation
Sara Renjit, Sumam Idicula
https://doi.org/10.7717/peerj-cs.508
April 14, 2021
Stance detection with BERT embeddings for credibility analysis of information on social media
Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, TS Raghu
https://doi.org/10.7717/peerj-cs.467
March 25, 2021
Advanced feature selection to study the internationalization strategy of enterprises
Álvaro Herrero, Alfredo Jiménez, Roberto Alcalde
https://doi.org/10.7717/peerj-cs.403
February 15, 2021
Optical character recognition system for Baybayin scripts using support vector machine
Rodney Pino, Renier Mendoza, Rachelle Sambayan
https://doi.org/10.7717/peerj-cs.360
February 4, 2021
Search, access, and explore life science nanopublications on the Web
Fabio Giachelle, Dennis Dosso, Gianmaria Silvello
https://doi.org/10.7717/peerj-cs.335
December 14, 2020
Identifying Twitter users who repost unreliable news sources with linguistic information
Yida Mu, Nikolaos Aletras
https://doi.org/10.7717/peerj-cs.325
September 7, 2020
Democratizing AI: non-expert design of prediction tasks
James P. Bagrow
https://doi.org/10.7717/peerj-cs.296