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20132026
most citedLearning Reporting Dynamics during Breaking News for Rumour Detection in Social Media

153 citations · 680 across the 71 of their papers we have counts for

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Showing 2021Show all

13 papers · 1 filter

cs.CL2021★ 1 cited

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…

cs.CL2021★ 3 cited

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021★ 1 cited

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…