151 citations · 458 across the 25 of their papers we have counts for
33 papers
Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification
Xia Zeng, Arkaitz Zubiaga
As part of an automated fact-checking pipeline, the claim veracity classification task consists in determining if a claim is supported by an associated piece of evidence. The compl…
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga +3
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinforma…
Hidden behind the obvious: misleading keywords and implicitly abusive language on social media
Wenjie Yin, Arkaitz Zubiaga
While social media offers freedom of self-expression, abusive language carry significant negative social impact. Driven by the importance of the issue, research in the automated de…
Cyberbullying detection across social media platforms via platform-aware adversarial encoding
Peiling Yi, Arkaitz Zubiaga
Despite the increasing interest in cyberbullying detection, existing efforts have largely been limited to experiments on a single platform and their generalisability across differe…
Sexism Identification in Tweets and Gabs using Deep Neural Networks
Amikul Kalra, Arkaitz Zubiaga
Through anonymisation and accessibility, social media platforms have facilitated the proliferation of hate speech, prompting increased research in developing automatic methods to i…
Cross-lingual Hate Speech Detection using Transformer Models
Teodor Tiţa, Arkaitz Zubiaga
Hate speech detection within a cross-lingual setting represents a paramount area of interest for all medium and large-scale online platforms. Failing to properly address this issue…