18 citations · 51 across the 20 of their papers we have counts for
25 papers
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani +2
Propaganda is the expression of an opinion or an action by an individual or a group deliberately designed to influence the opinions or the actions of other individuals or groups wi…
GREENER: Graph Neural Networks for News Media Profiling
Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar +2
We study the problem of profiling news media on the Web with respect to their factuality of reporting and bias. This is an important but under-studied problem related to disinforma…
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media
Momchil Hardalov, Anton Chernyavskiy, Ivan Koychev +2
While there has been substantial progress in developing systems to automate fact-checking, they still lack credibility in the eyes of the users. Thus, an interesting approach has e…
Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Md. Shad Akhtar +7
The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audi…
DISARM: Detecting the Victims Targeted by Harmful Memes
Shivam Sharma, Md. Shad Akhtar, Preslav Nakov +1
Internet memes have emerged as an increasingly popular means of communication on the Web. Although typically intended to elicit humour, they have been increasingly used to spread h…
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification
Rabindra Nath Nandi, Firoj Alam, Preslav Nakov
The spread of fake news, propaganda, misinformation, disinformation, and harmful content online raised concerns among social media platforms, government agencies, policymakers, and…