International Workshop on Modeling, Learning and Mining to Counter Information Disorder

About GENUINE 2023

The increasing popularity of social media has fostered the proliferation of online information disorder, i.e., the authoring, publishing and viral dissemination of misinformation, disinformation and malinformation. This phenomenon involves growing volumes of information, with a harmful impact on individuals, organizations, institutions and society, which sows doubt, confusion and mistrust, besides undermining the trustworthiness of online contents. Despite various studies, realizing and countering information disorder remain challenging issues for different reasons. To begin with, information disorder affects a wide variety of online contents such as web pages, political/medical/financial/socio-cultural information, personal profiles, reviews and news. Also, it spreads through a wealth of online services including news outlets, forums, question-answering communities, wikis, social media, as well as platforms for microblogging and photo/video sharing. Moreover, its purposes are manifold and varied, including hate speeches, harassments, propaganda, scams, leaks, religious and socio-cultural prejudice/violence, polarized narrative, misleading advertising, de-legitimization campaigns and information warfare. Yet, countering online information disorder requires multi-disciplinary approaches, at the intersection of natural language processing, knowledge representation, data mining, machine learning, information retrieval, social sciences and computer vision.