activity
20172021
most citedFine-Grained Analysis of Propaganda in News Articles

96 citations · 116 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CL20211 cited

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…

cs.CL2020

AutoKG: Constructing Virtual Knowledge Graphs from Unstructured Documents for Question Answering

Seunghak Yu, Tianxing He, James Glass

Knowledge graphs (KGs) have the advantage of providing fine-grained detail for question-answering systems. Unfortunately, building a reliable KG is time-consuming and expensive as…

cs.CL20203 cited

A Survey on Computational Propaganda Detection

Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno +3

Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of…

cs.CL2020

Prta: A System to Support the Analysis of Propaganda Techniques in the News

Giovanni Da San Martino, Shaden Shaar, Yifan Zhang +3

Recent events, such as the 2016 US Presidential Campaign, Brexit and the COVID-19 "infodemic", have brought into the spotlight the dangers of online disinformation. There has been…

cs.CL201916 cited

Experiments in Detecting Persuasion Techniques in the News

Seunghak Yu, Giovanni Da San Martino, Preslav Nakov

Many recent political events, like the 2016 US Presidential elections or the 2018 Brazilian elections have raised the attention of institutions and of the general public on the rol…

cs.CL201996 cited

Fine-Grained Analysis of Propaganda in News Articles

Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño +2

Propaganda aims at influencing people's mindset with the purpose of advancing a specific agenda. Previous work has addressed propaganda detection at the document level, typically l…