Fake News Detection

Authors

  • Prof: Jayant Rajurkar Computer Engineering MIET College Bhandara, India
  • Pooja Dandhare UG Student, Computer Engineering MIET College Bhandara, India
  • Puja Gautam (UG Student) Computer Engineering MIET College Bhandara, India
  • Samiksha Malewar UG Student) Computer Engineering MIET College Bhandara, India
  • Shrutika Manwatkar (UG Student) Computer Engineering MIET College Nagpur, India

Keywords:

EDA, TFIDF Vectorizer, IDF

Abstract

Social media is a double-edged sword which gives information as well as false information, false information which led to the massive disturbance which is intentionally spread. We are also not able to differentiate the news which is fake and which is real. People immediately start expressing their concern as they came across the post without verifying the authenticity. Now the technology is in growing phase where “internet” plays the main role which separates the “print media” (i.e. television, radio, and news channel) and “social media” (i.e. what’s App, Facebook, twitter, Instagram.) The reach and the potential of social media is more for e.g. In a house we have television while mobile everyone having so it makes the extra impact and help for various people for spreading fake news.

References

“Detecting Misleading Information on Covid-19” MOHAMED K. ELHADAD, KIN FUN LI, FAYEZ GEBALI, Sep 2020, IEEE- ACCESS. 2020.3022867.

“Fake News Detection on Social Media- A Review” STENI MOL, SREEJA PS, Hindustan Institute of Technology & science APRIL-2020.

“Fake News Detection on Social Media: A Data Mining Perspective” KAI SHU, AMY SLIVA, SUHANG WANG, JILIANG TANG, HUAN LIU. Computer Science & Engineering, Cambridge, MA, USA, Aug 2020.

“Identification of Fake News Using Machine Learning”, RAHUL R MANDICAL, MAMATHA N, SHIVKUMAR N, MONICA R – IEEE 2020.

JASMINE SHAIKH & RUPALI PATIL, ”Fake News Detection”, IEEE--2020

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Published

18-04-2022

How to Cite

Prof: Jayant Rajurkar, Pooja Dandhare, Puja Gautam, Samiksha Malewar, & Shrutika Manwatkar. (2022). Fake News Detection. International Journal for Research Publication and Seminar, 13(3), 28–30. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/520

Issue

Vol. 13 No. 3 (2022): Volume 13 | Issue 3 | 2022 (NSCIT)

Section

Original Research Article

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