[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities

X Huang, S Wang, M Zhang, T Hu, A Hohl… - International Journal of …, 2022 - Elsevier
Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …

Overview of CheckThat! 2020: Automatic identification and verification of claims in social media

A Barrón-Cedeno, T Elsayed, P Nakov… - Experimental IR Meets …, 2020 - Springer
We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab
featured five tasks in two different languages: English and Arabic. The first four tasks …

g2tmn at constraint@ aaai2021: exploiting CT-BERT and ensembling learning for COVID-19 fake news detection

A Glazkova, M Glazkov, T Trifonov - … on​ Combating On​ line Ho​ st​ ile …, 2021 - Springer
The COVID-19 pandemic has had a huge impact on various areas of human life. Hence, the
coronavirus pandemic and its consequences are being actively discussed on social media …

[PDF][PDF] Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media.

S Shaar, A Nikolov, N Babulkov… - CLEF …, 2020 - star.informatik.rwth-aachen.de
We present an overview of the third edition of the Check-That! Lab at CLEF 2020. The lab
featured five tasks in Arabic and English, and here we focus on the three English tasks. Task …

Overview of the CLEF 2024 LongEval lab on longitudinal evaluation of model performance

R Alkhalifa, H Borkakoty, R Deveaud… - … Conference of the Cross …, 2024 - Springer
We describe the second edition of the LongEval CLEF 2024 shared task. This lab evaluates
the temporal persistence of Information Retrieval (IR) systems and Text Classifiers. Task 1 …

Characterisation of COVID-19-related tweets in the Croatian language: framework based on the Cro-CoV-cseBERT model

K Babić, M Petrović, S Beliga, S Martinčić-Ipšić… - Applied Sciences, 2021 - mdpi.com
This study aims to provide insights into the COVID-19-related communication on Twitter in
the Republic of Croatia. For that purpose, we developed an NL-based framework that …

Extended overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance

R Alkhalifa, H Borkakoty, R Deveaud… - CEUR Workshop …, 2024 - researchportal.bath.ac.uk
We describe the second edition of the LongEval CLEF 2024 shared task. This lab evaluates
the temporal persistence of Information Retrieval (IR) systems and Text Classifiers. Task 1 …

[PDF][PDF] Fight for 4230 at CheckThat! 2021: Domain-Specific Preprocessing and Pretrained Model for Ranking Claims by Check-Worthiness.

X Zhou, B Wu, P Fung - CLEF (Working Notes), 2021 - ceur-ws.org
The widespread dissemination of false news on social media has brought negative effects to
society. In this paper, we describe a model submitted to the CLEF-2021 CheckThat! Task 1 …

Natural Language Processing for Health System Messages: Deep Transfer Learning Approach to Aspect-Based Sentiment Analysis of COVID-19 Content

M Sun - 2022 - search.proquest.com
Recent efforts in clinical natural language processing research have focused on mining
social media data and other user-generated data relevant to COVID-19. An increasing …

TChecker: A Content Enrichment Approach for Fake News Detection on Social Media

N GabAllah, H Sharara, A Rafea - Applied Sciences, 2023 - mdpi.com
The spread of fake news on social media continues to be one of the main challenges facing
internet users, prohibiting them from discerning authentic from fabricated pieces of …