activity
20192022
most citedLet-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language

13 citations · 29 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL20224 cited

Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask

Bilal Ghanem, Lauren Lutz Coleman, Julia Rivard Dexter +2

Reading is integral to everyday life, and yet learning to read is a struggle for many young learners. During lessons, teachers can use comprehension questions to increase engagemen…

cs.CL202113 cited

Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language

Hala Mulki, Bilal Ghanem

Online misogyny has become an increasing worry for Arab women who experience gender-based online abuse on a daily basis. Misogyny automatic detection systems can assist in the proh…

cs.CL20212 cited

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…

cs.CL2020

Irony Detection in a Multilingual Context

Bilal Ghanem, Jihen Karoui, Farah Benamara +2

This paper proposes the first multilingual (French, English and Arabic) and multicultural (Indo-European languages vs. less culturally close languages) irony detection system. We e…

cs.CL2019

FacTweet: Profiling Fake News Twitter Accounts

Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso

We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method ext…

cs.CL201910 cited

TexTrolls: Identifying Russian Trolls on Twitter from a Textual Perspective

Bilal Ghanem, Davide Buscaldi, Paolo Rosso

The online new emerging suspicious users, that usually are called trolls, are one of the main sources of hate, fake, and deceptive online messages. Some agendas are utilizing these…