Overview of the clef–2022 checkthat! lab on fighting the covid-19 infodemic and fake news detection

P Nakov, A Barrón-Cedeño, G da San Martino… - … Conference of the Cross …, 2022 - Springer
We describe the fifth edition of the CheckThat! lab, part of the 2022 Conference and Labs of
the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to …

Overview of the CLEF-2022 CheckThat! lab task 1 on identifying relevant claims in tweets

P Nakov, A Barrón-Cedeño… - 2022 Conference and …, 2022 - research.rug.nl
We present an overview of CheckThat! lab 2022 Task 1, part of the 2022 Conference and
Labs of the Evaluation Forum (CLEF). Task 1 asked to predict which posts in a Twitter …

A comprehensive review on transformers models for text classification

R Kora, A Mohammed - 2023 International Mobile, Intelligent …, 2023 - ieeexplore.ieee.org
The rapid progress in deep learning has propelled transformer-based models to the
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …

Recent deep learning based nlp techniques for chatbot development: An exhaustive survey

B Rawat, AS Bist, U Rahardja, Q Aini… - … Conference on Cyber …, 2022 - ieeexplore.ieee.org
Chatbots are becoming popular as many applications need it. E-commerce, aviation, supply
chain management companies etc. are using AI based chatbots to attract customers. Deep …

Not good times for lies: Misinformation detection on the Russia-Ukraine war, COVID-19, and refugees

C Toraman, O Ozcelik, F Şahinuç, F Can - arXiv preprint arXiv:2210.05401, 2022 - arxiv.org
Misinformation spread in online social networks is an urgent-to-solve problem having
harmful consequences that threaten human health, public safety, economics, and so on. In …

ARC-NLP at PAN 2023: Transition-Focused Natural Language Inference for Writing Style Detection

IE Kucukkaya, U Sahin, C Toraman - arXiv preprint arXiv:2307.14913, 2023 - arxiv.org
The task of multi-author writing style detection aims at finding any positions of writing style
change in a given text document. We formulate the task as a natural language inference …

Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking

M Sundriyal, MS Akhtar, T Chakraborty - arXiv preprint arXiv:2309.09274, 2023 - arxiv.org
The expansion of online social media platforms has led to a surge in online content
consumption. However, this has also paved the way for disseminating false claims and …

A Comparative Analysis of Various Machine Learning and Transformer Models for Harmful Tweet Detection

TR Das, S Chakraborty, AN Chy - 2024 6th International …, 2024 - ieeexplore.ieee.org
The COVID-19 pandemic's effects have remained for more than 2 years. During this time,
people use social media to collaborate and acquire news, but these platforms can also be …

Countering Dis-information by Multimodal Entailment via Joint Embedding

A Bobde, S Tawari, V Narnaware… - … on Intelligent and …, 2023 - ieeexplore.ieee.org
Fake news has always been hard to flag and take down before they make a negative impact.
With the recent advancement in technology and access to social media platforms, spread of …

Detecting Misinformation on Social Media Using Community Insights and Contrastive Learning

O Ozcelik, C Toraman, F Can - ACM Transactions on Intelligent Systems and … - dl.acm.org
Social media users are more likely to be exposed to similar views and tend to avoid
contrasting views, especially when they are part of a community of social media users. In this …