739 citations · 2.4k across the 93 of their papers we have counts for
9 papers · 1 filter
Check-worthy Claim Detection across Topics for Automated Fact-checking
Amani S. Abumansour, Arkaitz Zubiaga
An important component of an automated fact-checking system is the claim check-worthiness detection system, which ranks sentences by prioritising them based on their need to be che…
SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media
Aiqi Jiang, Arkaitz Zubiaga
The goal of sexism detection is to mitigate negative online content targeting certain gender groups of people. However, the limited availability of labeled sexism-related datasets…
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training
Xia Zeng, Arkaitz Zubiaga
To mitigate the impact of the scarcity of labelled data on fact-checking systems, we focus on few-shot claim verification. Despite recent work on few-shot classification by proposi…
Session-based Cyberbullying Detection in Social Media: A Survey
Peiling Yi, Arkaitz Zubiaga
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim through a social media session. By investigating cyberbullying perpetrated through social…
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…
Building for Tomorrow: Assessing the Temporal Persistence of Text Classifiers
Rabab Alkhalifa, Elena Kochkina, Arkaitz Zubiaga
Performance of text classification models tends to drop over time due to changes in data, which limits the lifetime of a pretrained model. Therefore an ability to predict a model's…
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…