153 citations · 680 across the 71 of their papers we have counts for
13 papers · 1 filter
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…
Automated Fact-Checking: A Survey
Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga
As online false information continues to grow, automated fact-checking has gained an increasing amount of attention in recent years. Researchers in the field of Natural Language Pr…
A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis
Dimitris Gkoumas, Bo Wang, Adam Tsakalidis +4
Dementia affects cognitive functions of adults, including memory, language, and behaviour. Standard diagnostic biomarkers such as MRI are costly, whilst neuropsychological tests su…
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions
Rabab Alkhalifa, Arkaitz Zubiaga
Social media platforms provide a goldmine for mining public opinion on issues of wide societal interest and impact. Opinion mining is a problem that can be operationalised by captu…
Opinions are Made to be Changed: Temporally Adaptive Stance Classification
Rabab Alkhalifa, Elena Kochkina, Arkaitz Zubiaga
Given the rapidly evolving nature of social media and people's views, word usage changes over time. Consequently, the performance of a classifier trained on old textual data can dr…