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09/20/2023
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets
A crucial aspect of a rumor detection model is its ability to generalize...
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08/29/2023
Classification-Aware Neural Topic Model Combined With Interpretable Analysis – For Conflict Classification
A large number of conflict events are affecting the world all the time. ...
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08/14/2023
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification
Adapters and Low-Rank Adaptation (LoRA) are parameter-efficient fine-tun...
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08/12/2023
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation
Medical systematic reviews can be very costly and resource intensive. We...
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08/10/2023
Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning
The task of retrieving already debunked narratives aims to detect storie...
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05/23/2023
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
Instruction-tuned Large Language Models (LLMs) have exhibited impressive...
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04/10/2023
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation
The COVID-19 pandemic led to an infodemic where an overwhelming amount o...
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04/10/2023
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination
Previous studies have highlighted the importance of vaccination as an ef...
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04/09/2023
Similarity-Aware Multimodal Prompt Learning for Fake News Detection
The standard paradigm for fake news detection mainly utilizes text infor...
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03/16/2023
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification
This paper describes our approach for SemEval-2023 Task 3: Detecting the...
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01/17/2023
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter
Vaccine hesitancy has been a common concern, probably since vaccines wer...
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12/14/2022
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation
This paper compares quantitatively the spread of Ukraine-related disinfo...
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07/18/2022
Classifying COVID-19 vaccine narratives
COVID-19 vaccine hesitancy is widespread, despite governments' informati...
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06/22/2021
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic
The spreading COVID-19 misinformation over social media already draws th...
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06/05/2020
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus
The explosion of disinformation related to the COVID-19 pandemic has ove...
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02/28/2020
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media
Early rumor detection (ERD) on social media platform is very challenging...
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04/25/2019
Online Abuse of UK MPs from 2015 to 2019: Working Paper
We extend previous work about general election-related abuse of UK MPs w...
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11/12/2018
Bio-YODIE: A Named Entity Linking System for Biomedical Text
Ever-expanding volumes of biomedical text require automated semantic ann...
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08/31/2018
