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Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic
Free accessArXiv | 2021| -
Sub-story detection in Twitter with hierarchical Dirichlet processes
British Library Online Contents | 2017| -
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
Free accessArXiv | 2020| -
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus
Free accessArXiv | 2020| -
Task-dependent aspects of knowledge acquisition: A case study in a technical domain
Springer Verlag | 1997| -
Online Abuse of UK MPs in 2015 and 2017: Perpetrators, Targets, and Topics
Free accessArXiv | 2018| -
Stance Classification in Out-of-Domain Rumours: A Case Study Around Mental Health Disorders
Springer Verlag | 2017| -
Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels
Free accessArXiv | 2023| -
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter
Free accessArXiv | 2023| -
Natural Language Technology for Information Integration in Business Intelligence
Springer Verlag | 2007| -
Online Abuse toward Candidates during the UK General Election 2019: Working Paper
Free accessArXiv | 2020| -
Automated tackling of disinformation : major challenges ahead.
Free accessEU Bookshop | 2019|Contributors: Bontcheva, Kalina
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