Impact of Time on Detecting Spammers in Twitter Mahdi Washha, Aziz Qaroush, Florence Sèdes To cite this version: Mahdi Washha, Aziz Qaroush, Florence Sèdes. Impact of Time on Detecting Spammers in Twitter. 32ème Conférence Gestion de Données : Principes, Technologies et Applications (BDA 2016), Labora- toire d’Informatique et d’Automatique pour les Systèmes (LIAS) - Université de Poitiers et ENSMA, Nov 2016, Poitiers, France. hal-03159076 HAL Id: hal-03159076 https://hal.archives-ouvertes.fr/hal-03159076 Submitted on 5 Mar 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives| 4.0 International License Impact of Time on Detecting Spammers in Twitter Mahdi Washha Aziz Qaroush Florence Sedes IRIT Laboratory Birzeit University IRIT Laboratory University of Toulouse Birzeit, Palestine University of Toulouse Toulouse, France
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[email protected] ABSTRACT events, news, and jokes, through a messaging mechanism al- Twitter is one of the most popular microblogging social sys- lowing 140 characters maximum. Statistics states that, in tems, which provides a set of distinctive posting services November 2015, the number of active users that use Twitter operating in real time manner.