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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Dynamics of Fake News Diffusion
verfasst von : Tanmoy Chakraborty
Erschienen in: Data Science for Fake News
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Modeling information diffusion on social media has gained tremendous research attention in the last decade due to its impact in understanding the overall spread of news contents through network links such as followers, friends, etc. Those fake stories which gain quick visibility are deployed on social media in a strategic way in order to create maximum impact. In this context, the selection of initiators, the time of deployment, the estimation of the reach of the news, etc. play a decisive role to model the spread appropriately. In this chapter, we start by defining the problem of fake news diffusion and addressing the challenges involved. We then model information cascade in various ways such as a diffusion tree. We then present a series of traditional and recent approaches which attempt to model the spread of fake news on social media.