Finding Fake News An Exhaustive Literature Review

Authors

  • Dr Vinay Vikram Singh
  • Dr. Ashima Singh
  • Kumud Das
  • Dr. Ravi Suryavansi
  • Dr. Rajni Mann

DOI:

https://doi.org/10.53555/sfs.v10i1.2944

Keywords:

Fake news, machine learning, linguistics are some of the topics covered in this article, Algorithms, digital technologies

Abstract

Individuals and society must be able to determine the veracity of information that is widely disseminated via digital media platforms. Fake news has existed for a long time, but it is becoming a common occurrence in our day and age. Fake news may have a wide variety of effects, from annoyance to influence and misinformation. Fake news may be detected in a number of ways. Using a thorough literature analysis, we were able to determine the most effective methods for spotting false news, as well as when and when to put them to use. In certain cases, a relevant example and the obstacles and the proper circumstances in which a specific technique may be employed are provided to highlight the specific approach.

Author Biographies

  • Dr Vinay Vikram Singh

    Associate professor, Faculty of Journalism and Mass Communication, United University, Prayagraj ,UP India

     

  • Dr. Ashima Singh

    Assistant Professor, School of Communication, Amity University, Noida UP, India

  • Kumud Das

    Associate professor, School of Media and Journalism, D Y Patil International University, Akurdi Pune, MH, India,

     

  • Dr. Ravi Suryavansi

    Assistant Professor, Central University of south Bihar,Gaya(Bihar)

  • Dr. Rajni Mann

    Assistant Professor, Faculty of journalism & Mass Communication, PDM University Bahadurgarh Haryana

     

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Published

2023-01-03

Issue

Section

Articles