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Filter Bubble and Fake News: Facebook and Journalist Ethics

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  • Fatima Saeed

    (Riphah International University, Department of Media Sciences, Pakistan)

Abstract

In 2016, the result of the American presidential election and Referendum in the United Kingdom shocked journalists all around the world. Social networking sites are now blamed for the construction of the filter bubble. The filter bubble is considered an intellectual state of isolation in which algorithms are making a circumstance where consumers progressively are getting data that reinforce their prior beliefs and less exposure to contradictory viewpoints. Filter bubbles play a key role in the handling, distribution, and dissemination of fake news stories. The study’s objective is to find out how a filter bubble increases susceptibility to believing and sharing fake news and whether applying the filter bubble violates journalistic ethics. Peircean pragmatic perspective is used as a methodological approach to concentrate on concepts such as representation, reality, and fixation of belief (priori method) because this method is relatively close to what happens with the filter bubble on social networking sites. The study results reflect the thing that the platforms of Social media i.e. Facebook, and Google search engines are blamed for the false news controversy, but still, the users’ belief activity and their online presence perform a critical role in driving facebook’s algorithms in this problem.

Suggested Citation

  • Fatima Saeed, 2022. "Filter Bubble and Fake News: Facebook and Journalist Ethics," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(10), pages 59-65, October.
  • Handle: RePEc:bcp:journl:v:6:y:2022:i:10:p:59-65
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    References listed on IDEAS

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    1. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    2. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
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