activity
20192021
most citedSemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

23 citations · 23 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts

Arianna Muti, Federico Ruggeri, Khalid Al-Khatib +2

We propose misogyny detection as an Argumentative Reasoning task and we investigate the capacity of large language models (LLMs) to understand the implicit reasoning used to convey…

cs.AI2021

Automated Fact-Checking for Assisting Human Fact-Checkers

Preslav Nakov, David Corney, Maram Hasanain +6

The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians an…

cs.CL202023 cited

SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

G. Da San Martino, A. Barrón-Cedeño, H. Wachsmuth +2

We present the results and the main findings of SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is about Spa…

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.CL2019

A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates

Pepa Gencheva, Ivan Koychev, Lluís Màrquez +2

In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-…