Misinformation is one of the most critical challenges of recent years. Despite all the attempts, the automatic detection of misinformation still remains an open problem. Although misinformation and fake news exist for a long period of time, the ubiquitousness of social media has facilitated their propagation with severe consequences for the society. This talk will focus on the topic of misinformation detection. First, I will introduce the concept and characteristics of the different types of misinformation and disinformation such as fake news, satire, rumours that go viral in online social networks. Then, I will present some of the most recent detection approaches with a particular focus on approaches that exploit psycho-linguistic information (i.e., emotion, sentiment, informal language). Also, I will present approaches that exploit information extracted from user profiles and user interactions. Finally, I will discuss challenges and open issues in the field of misinformation detection.
- Authorship Verification
- Celebrity Profiling
- Profiling Fake News Spreaders on Twitter
- Style Change Detection
March 31, 2020now until May 07, 2020: Early bird software submission phase (optional) April 28, 2020May 22, 2020 until June 5, 2020: Software submission phase May 24, 2020July 17, 2020: Participant paper submission [template] [guidelines] [submission] June 14, 2020August 14, 2020: Peer review notification June 28, 2020August 28, 2020: Camera-ready participant papers submission
- Caution: There is no time for amendments. Late submission or missing data/documents will cause removal from proceedings.
- TBD: Early bird conference registration
- September 22-25, 2020: Online Conference
The timezone of all deadlines is Anywhere on Earth.