The spread of fake news increased dramatically during the COVID-19 pandemic worldwide. This study aims to synthesize the extant literature to understand the magnitude of this …
We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the …
The identification of Hate Speech in Social Media is of great importance and receives much attention in the text classification community. There is a huge demand for research for …
As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …
Interventions that shift users attention toward the concept of accuracy represent a promising approach for reducing misinformation sharing online. We assess the replicability and …
SA Memon, KM Carley - arXiv preprint arXiv:2008.00791, 2020 - arxiv.org
From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hot- bed for the spread of misinformation online. It is more important than ever to identify methods …
The HASOC track is dedicated to the evaluation of technology for finding Offensive Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
MMF Caceres, JP Sosa, JA Lawrence… - AIMS Public …, 2022 - ncbi.nlm.nih.gov
Since the inception of the current pandemic, COVID-19 related misinformation has played a role in defaulting control of the situation. It has become evident that the internet, social …
In this paper, we present a first multilingual cross-domain dataset of 5182 fact-checked news articles for COVID-19, collected from 04/01/2020 to 15/05/2020. We have collected the fact …