163 citations · 539 across the 205 of their papers we have counts for
22 papers · 1 filter
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge
Revanth Gangi Reddy, Sai Chetan, Zhenhailong Wang +8
Claim detection and verification are crucial for news understanding and have emerged as promising technologies for mitigating misinformation and disinformation in the news. However…
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
Anton Chernyavskiy, Dmitry Ilvovsky, Pavel Kalinin +1
The use of contrastive loss for representation learning has become prominent in computer vision, and it is now getting attention in Natural Language Processing (NLP). Here, we expl…
Detecting Harmful Memes and Their Targets
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee +4
Among the various modes of communication in social media, the use of Internet memes has emerged as a powerful means to convey political, psychological, and socio-cultural opinions.…
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed +16
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to…
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Shaden Shaar, Firoj Alam, Giovanni Da San Martino +4
We present the results and the main findings of the NLP4IF-2021 shared tasks. Task 1 focused on fighting the COVID-19 infodemic in social media, and it was offered in Arabic, Bulga…
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar
Preslav Nakov, Firoj Alam, Shaden Shaar +2
While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer fake news may hinder efforts to recover from th…
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov +3
Internet memes have become powerful means to transmit political, psychological, and socio-cultural ideas. Although memes are typically humorous, recent days have witnessed an escal…
The Spread of Propaganda by Coordinated Communities on Social Media
Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino +2
Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and…
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
Shaden Shaar, Nikola Georgiev, Firoj Alam +3
Given the recent proliferation of false claims online, there has been a lot of manual fact-checking effort. As this is very time-consuming, human fact-checkers can benefit from too…
Interpretable Propaganda Detection in News Articles
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami +2
Online users today are exposed to misleading and propagandistic news articles and media posts on a daily basis. To counter thus, a number of approaches have been designed aiming to…
Detecting Propaganda Techniques in Memes
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar +5
Propaganda can be defined as a form of communication that aims to influence the opinions or the actions of people towards a specific goal; this is achieved by means of well-defined…
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri +2
With the continuing spread of misinformation and disinformation online, it is of increasing importance to develop combating mechanisms at scale in the form of automated systems tha…
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
The rise of Internet has made it a major source of information. Unfortunately, not all information online is true, and thus a number of fact-checking initiatives have been launched…
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar +5
We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and Images: the data, the annotation guidelines, the evaluation setup, the results, and the participa…
Cross-Domain Label-Adaptive Stance Detection
Momchil Hardalov, Arnav Arora, Preslav Nakov +1
Stance detection concerns the classification of a writer's viewpoint towards a target. There are different task variants, e.g., stance of a tweet vs. a full article, or stance with…
The Role of Context in Detecting Previously Fact-Checked Claims
Shaden Shaar, Firoj Alam, Giovanni Da San Martino +1
Recent years have seen the proliferation of disinformation and fake news online. Traditional approaches to mitigate these issues is to use manual or automatic fact-checking. Recent…
A Survey on Predicting the Factuality and the Bias of News Media
Preslav Nakov, Husrev Taha Sencar, Jisun An +1
The present level of proliferation of fake, biased, and propagandistic content online has made it impossible to fact-check every single suspicious claim or article, either manually…
A Neighbourhood Framework for Resource-Lean Content Flagging
Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov +3
We propose a novel framework for cross-lingual content flagging with limited target-language data, which significantly outperforms prior work in terms of predictive performance. Th…
A Survey on Multimodal Disinformation Detection
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty +6
Recent years have witnessed the proliferation of offensive content online such as fake news, propaganda, misinformation, and disinformation. While initially this was mostly about t…
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain +6
The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians an…
A Survey on Stance Detection for Mis- and Disinformation Identification
Momchil Hardalov, Arnav Arora, Preslav Nakov +1
Understanding attitudes expressed in texts, also known as stance detection, plays an important role in systems for detecting false information online, be it misinformation (uninten…
Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Go
Arnav Arora, Preslav Nakov, Momchil Hardalov +8
The proliferation of harmful content on online platforms is a major societal problem, which comes in many different forms including hate speech, offensive language, bullying and ha…