research
∙
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...
share
research
∙
09/14/2023
Detecting Misinformation with LLM-Predicted Credibility Signals and Weak Supervision
Credibility signals represent a wide range of heuristics that are typica...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
04/10/2023
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination
Previous studies have highlighted the importance of vaccination as an ef...
research
∙
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...
research
∙
02/06/2023
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits
New events emerge over time influencing the topics of rumors in social m...
research
∙
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...
research
∙
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...
research
∙
10/17/2022
On the Impact of Temporal Concept Drift on Model Explanations
Explanation faithfulness of model predictions in natural language proces...
research
∙
07/18/2022
Classifying COVID-19 vaccine narratives
COVID-19 vaccine hesitancy is widespread, despite governments' informati...
research
∙
07/26/2021
The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
The onset of the Coronavirus disease 2019 (COVID-19) pandemic instigated...
research
∙
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...
research
∙
03/04/2021
MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK: White Paper
The UK has had a volatile political environment for some years now, with...
research
∙
01/08/2021
Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2
The Coronavirus (COVID-19) pandemic has led to a rapidly growing `infode...
research
∙
10/09/2020
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
Hate speech and toxic comments are a common concern of social media plat...
research
∙
10/09/2020
Measuring What Counts: The case of Rumour Stance Classification
Stance classification can be a powerful tool for understanding whether a...
research
∙
08/12/2020
Vindication, Virtue and Vitriol: A study of online engagement and abuse toward British MPs during the COVID-19 Pandemic
COVID-19 has given rise to malicious content online, including online ab...
research
∙
06/10/2020
MP Twitter Abuse in the Age of COVID-19: White Paper
As COVID-19 sweeps the globe, outcomes depend on effective relationships...
research
∙
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...
research
∙
04/17/2020
Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
With regard to the wider area of AI/LT platform interoperability, we con...
research
∙
03/30/2020
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
research
∙
03/30/2020
European Language Grid: An Overview
With 24 official EU and many additional languages, multilingualism in Eu...
research
∙
01/23/2020
Online Abuse toward Candidates during the UK General Election 2019: Working Paper
The 2019 UK general election took place against a background of rising o...
research
∙
10/02/2019
Race and Religion in Online Abuse towards UK Politicians: Working Paper
Against a backdrop of tensions related to EU membership, we find levels ...
research
∙
07/04/2019
The evolution of argumentation mining: From models to social media and emerging tools
Argumentation mining is a rising subject in the computational linguistic...
research
∙
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...
research
∙
02/18/2019
Local Media and Geo-situated Responses to Brexit: A Quantitative Analysis of Twitter, News and Survey Data
Societal debates and political outcomes are subject to news and social m...
research
∙
02/05/2019
Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate
The recent past has highlighted the influential role of social networks ...
research
∙
02/05/2019
Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online
The recent past has highlighted the influential role of social networks ...
research
∙
09/18/2018
Argumentation Mining: Exploiting Multiple Sources and Background Knowledge
The field of Argumentation Mining has arisen from the need of determinin...
research
∙
09/18/2018
RumourEval 2019: Determining Rumour Veracity and Support for Rumours
This is the proposal for RumourEval-2019, which will run in early 2019 a...
research
∙
04/04/2018
Online Abuse of UK MPs in 2015 and 2017: Perpetrators, Targets, and Topics
Concerns have reached the mainstream about how social media are affectin...
research
∙
01/29/2018
Helping Crisis Responders Find the Informative Needle in the Tweet Haystack
Crisis responders are increasingly using social media, data and other di...
research
∙
12/06/2017
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers
Rumour stance classification, defined as classifying the stance of speci...
research
∙
08/17/2017
Simple Open Stance Classification for Rumour Analysis
Stance classification determines the attitude, or stance, in a (typicall...
research
∙
08/15/2017
Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data
Usage of online textual media is steadily increasing. Daily, more and mo...
research
∙
08/15/2017
Automatic Summarization of Online Debates
Debate summarization is one of the novel and challenging research areas ...
research
∙
04/20/2017
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Media is full of false claims. Even Oxford Dictionaries named "post-trut...
research
∙
04/03/2017
Detection and Resolution of Rumours in Social Media: A Survey
Despite the increasing use of social media platforms for information and...
research
∙
01/11/2017
Generalisation in Named Entity Recognition: A Quantitative Analysis
Named Entity Recognition (NER) is a key NLP task, which is all the more ...
research
∙
09/07/2016
Using Gaussian Processes for Rumour Stance Classification in Social Media
Social media tend to be rife with rumours while new reports are released...
research
∙
06/17/2016
Stance Detection with Bidirectional Conditional Encoding
Stance detection is the task of classifying the attitude expressed in a ...
research
∙
11/10/2015
