Publication | Closed Access
Media-Rich Fake News Detection: A Survey
225
Citations
16
References
2018
Year
Unknown Venue
Fake NewsMedia StudiesModern DiasporaSocial MediaDisinformation DetectionMedia CritiqueComputational JournalismPolitical CommunicationCommunicationMass CommunicationArtsContent AnalysisNews SemanticsJournalismText MiningFact Checking
Fake News has been around for decades and with the advent of social media and modern day journalism at its peak, detection of media-rich fake news has been a popular topic in the research community. Given the challenges associated with detecting fake news research problem, researchers around the globe are trying to understand the basic characteristics of the problem statement. This paper aims to present an insight on characterization of news story in the modern diaspora combined with the differential content types of news story and its impact on readers. Subsequently, we dive into existing fake news detection approaches that are heavily based on text-based analysis, and also describe popular fake news data-sets. We conclude the paper by identifying 4 key open research challenges that can guide future research.
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