Topic and Themes

The central topic of the workshop concerns providing access to users to credible and/or verified information, to mitigate the information disorder phenomenon. By “information disorder” we mean all forms of communication pollution. From misinformation made out of ignorance, to intentional sharing of false content. In this context, all those approaches that can serve to the assessment of the credibility of information circulating online and in social media, in particular, find their place. This topic is very broad, as it concerns different contents (e.g., Web pages, news, reviews, medical information, online accounts, etc.), different Web and social media platforms (e.g., microblogging platforms, social networking services, social question-answering systems, etc.), and different purposes (e.g., identifying false information, accessing information based on its credibility, retrieving credible information, etc.). For this reason, the themes of interest include, but are not limited to, the following:

  • Access to credible information
  • Bias detection
  • Bot/Spam/Troll detection
  • Computational fact-checking
  • Crowdsourcing for credibility
  • Deep fakes
  • Disinformation/Misinformation detection
  • Evaluation strategies to assess information credibility
  • Fake news detection
  • Fake reviews detection
  • Filter Bubbles and Echo chambers
  • Harassment/bullying
  • Hate-speech detection
  • Information polarization in online communities
  • Propaganda identification/analysis
  • Retrieval of credible information
  • Security, privacy and credibility
  • Sentiment/Emotional analysis
  • Stance detection
  • Trust and Reputation systems (to mitigate the effects of disinformation)
  • Understanding and guiding the societal reaction in the presence of disinformation

Data-driven approaches, supported by publicly available datasets, are more than welcome.