The aim of this workshop is to establish a premier international forum on countering online information disorder. In particular, the workshop will bring together practitioners, technologists, scholars, researchers and applied scientists from academia, research institutes, laboratories and industry, in order to
(i) discuss challenges, solutions, practices, principles, limitations and results, (ii) exchange and refine ideas, (iii) develop models, methods, techniques, case studies and tools, (iv) design algorithms, approaches, platforms and frameworks;Â
provide a venue, where participants with different expertise and perspectives are connected to grow a research community, that promotes cross-disciplinary cooperation with scientific exchanges within and across various focal areas, for unprecedented synergistic insights and cutting-edge applications;
advance existing research through a multi-disciplinary analysis of open issues, emerging trends, unexplored directions and novel solutions;
support new comers to the field of online information disorder via an in-depth view of the current research.
The workshop solicits recent advancements. Especially welcomed are models, methods, techniques, algorithms, systems, empirical assessments, evaluation metrics, new data sets, case studies, preliminary ideas, work in progress, demonstrations and tools. Submissions will be reviewed by their appropriateness and relevance to the workshop as well as the novelty, importance, technical soundness and clarity of their contributions.
The workshop invites submissions on all relevant topics, including but not limited to:
Misinformation, disinformation and malinformation: fake news, hoaxes, urban legends, crowdturfing, revenge porn, hate speeches, disinformation campaigns, conspiracy theories, propaganda, rumors, deceptive reviews, bias, deepfakes, clickbaits, bullying, etc.;
Temporal analysis of information disorder;
Profiling of authors, spreaders and consumers: roles, trustworthiness, reputation, (mis)behavior, etc.;
New datasets for disorder classification and prediction;
Automatic claim-verification, fact-checking and debunking;
Reliability of online information and crowdsourcing;
Information disorder from spam, bots and trolls;
Filter bubbles, echo chambers, selective exposure, polarization;
Spreading and propagation of information disorder;
Knowledge representation, sentiment analysis, opinion mining and information disorder;
Impact and accountability of information disorder;
Mitigation of information-disorder impact;
Counterintelligence.