Current state of the art to detect fake news in social media

Date Posted: May 15, 2019 Last Modified: May 15, 2019
Current state of the art to detect fake news in social media: Global trendings and next challenges Photo: ATLAS Social Media, Flickr

This research aims to present a survey on the state of the art on detecting fake news and its proposed solutions. The survey focuses on content analysis, network propagation, fact-checking and fake news analysis and emerging detection systems. It also discusses the rationale behind successfully deceiving readers and highlights the important challenges these solutions bring.

Highlights:
  • The various approaches taken by the scientific community and also the rumoured actions taken by Facebook and Google come at the cost of the danger letting someone establish the limits of reality, if not the reality itself.
  • The trend to design and develop systems based on open source resources which while freely available or at a minimum cost, give more power to service providers. This power ultimately gives them control over intelligence built on a service provided by their systems.
  • While the development of these systems is crucial to the fight against fake news and has to be built on a sentiment of trust. The challenge ahead lies in defining what is real, what is important, or even, what is real.