A Survey on Fake News Detection

Authors

  • Sireddy. Naveen Kumar Reddy Department of Electronics and Communication, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, Tamil Nadu, India Author
  • Dr.M.Sujatha Department of Electronics and Communication, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, Tamil Nadu, India Author

DOI:

https://doi.org/10.61841/r8zrf518

Keywords:

False news, training the data’s

Abstract

Social media is a double-edged sword for news consumption; on one side it is easy to access and low cost, and on the other side fake news will spread widely and include false information. The wide spread of this fake news results in negative impacts on society and individuals. Fake news is mainly created to misguide readers in order to believe information that is not true. Source, headline, body text, and image or video are the content attributes for news. Source is the news article publisher. The short text that makes readers attention and describes the important topic in that article is called  the headline. The entire content about that article is present in body text and includes images or videos that are related to that article. Based on these attributes, fake news characteristics are extracted. 

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References

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Published

30.04.2020

Issue

Vol. 24 No. 2 (2020): 24 (2) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

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How to Cite

Naveen Kumar Reddy, S., & M., S. (2020). A Survey on Fake News Detection. International Journal of Psychosocial Rehabilitation, 24(2), 5760-5764. https://doi.org/10.61841/r8zrf518