JDSA-OID 2021 : Special Issue on Online Information Disorder: Fake News, Bots, and Trolls

Topics of interest

We solicit original, unpublished, and innovative research work on all aspects around, but not limited to, the following themes:

• Computational approaches for the detection of online misinformation and disinformation (e.g., satire, clickbaits, fake news, rumors, conspiracy theories, hoaxes, bots and trolls)
• Computational approaches to identify and analyze the use of propaganda in misinformation and dis-information campaigns
• Computational approaches for spotting users purposefully spread different types of mis/disinformation (e.g., detection of fake news spreaders, detection of conspiracy spreaders, detection of water armies)
• Identification of information spread by bots and trolls
• Network analysis in fake news propagation and circulation in social media and social networks
• Automatic identification and verification of claims
• Intention detection for the different types of disinformation
• Credibility assessment of online information sources
• Detection of polarization in online communities
• Computational approaches for multimodal disinformation detection
• Computational approaches for early detection of fake news
• Fake news prevention, filtering and containment
• Analysis/detection of multi-platform fake news spreading
• Measurements and analysis of fake news impact
• Resources for journalists for fake news detection
• Datasets and evaluation methodologies for disinformation detection in social media