17 citations · 48 across the 11 of their papers we have counts for
19 papers
Fake News and Hate Speech: Language in Common
Berta Chulvi, Alejandro Toselli, Paolo Rosso
In this paper we raise the research question of whether fake news and hate speech spreaders share common patterns in language. We compute a novel index, the ingroup vs outgroup ind…
Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
Angelo Basile, Marc Franco-Salvador, Paolo Rosso
Zero-shot text classifiers based on label descriptions embed an input text and a set of labels into the same space: measures such as cosine similarity can then be used to select th…
FACTOID: A New Dataset for Identifying Misinformation Spreaders and Political Bias
Flora Sakketou, Joan Plepi, Riccardo Cervero +3
Proactively identifying misinformation spreaders is an important step towards mitigating the impact of fake news on our society. In this paper, we introduce a new contemporary Redd…
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios
Petr Lorenc, Ana-Sabina Uban, Paolo Rosso +1
The high prevalence of depression in society has given rise to the need for new digital tools to assist in its early detection. To this end, existing research has mainly focused on…
UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso
Identifying check-worthy claims is often the first step of automated fact-checking systems. Tackling this task in a multilingual setting has been understudied. Encoding inputs with…
FakeFlow: Fake News Detection by Modeling the Flow of Affective Information
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso +1
Fake news articles often stir the readers' attention by means of emotional appeals that arouse their feelings. Unlike in short news texts, authors of longer articles can exploit su…