On the Author Profiling and Deception Detection in Arabic shared task at FIRE

Francisco M. Rangel Pardo, Paolo Rosso, Anis Charfi, Wajdi Zaghouani, Bilal Ghanem, Javier Sánchez-Junquera

Abstract: This paper summarises the Author Profiling and Deception Detection in Arabic (APDA) shared task at [email protected] 2019. Two have been the main aims of this year's task: i) to profile the age, gender and native language of a Twitter user; ii) to determine whether an Arabic text is deceptive or not in two different genres: Twitter and news headlines. For this purpose we have created three corpora in Arabic. Altogether, the approaches of 13 participants are evaluated.