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, 2020: Early bird software submission
- April 28, 2020: Software submission deadline
- May 24, 2020: Participant paper submission [template] [guidelines] [submission]
- June 14, 2020: Peer review notification
- June 28, 2020: Camera-ready participant papers submission
- TBD: Early bird conference registration
- September 22-25, 2020: Conference
The timezone of all deadlines is Anywhere on Earth.