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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

FAKE NEWS DETECTION SYSTEM ON SOCIAL MEDIA

Akshaya Masna Hanika Munukuntla Allibada Abhinav Goud Chaduvula Sravan Kumar

Department Of Artificial Intelligence Sreyas Institute Of Engineering and Technology Bandlaguda Nagole Hyderabad
DOI:https://doi.org/10.55041/ijcope.v2i4.584

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Abstract

Peace, Justice, and Strong Institutions is the sixteenth goal of the United Nations Sustainable Development Goals. SDG-16 is about creating peaceful societies and making sure justice is available. For everyone, and creating open and responsible institutions. In the digital age, the fast spread of Fake news spreading through social media and online platforms has become a big problem because it can, mislead people, influence how others think, and damage the way democracy works. A Fake News Detection The system works well to find and stop the spread of untrue information. The system Uses Artificial Intelligence to analyze news content and check if it is real or not. It looks at things like keywords, how someone writes, how trustworthy the source is, and the way the content is structured, classifies news as real or fake. The system can be added to news websites and social media platforms. platforms to provide real-time verification for users. This helps people make informed decisions and reduces the impact of misinformation. The Fake News Detection System supports social harmony, public trust, and responsible information sharing. It plays a vital role in strengthening institutions and promoting peace and justice, thereby contributing to the overall well-being and stability of society.

Keywords: Misinformation, Digital Media, Content Analysis, Credibility, Online Security, Information Literacy

How to Cite this Paper

Masna, A., Munukuntla, H., Goud, A. A. & Kumar, C. S. (2026). Fake News Detection System on Social Media. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.584

Masna, Akshaya, et al.. "Fake News Detection System on Social Media." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.584.

Masna, Akshaya,Hanika Munukuntla,Allibada Goud, and Chaduvula Kumar. "Fake News Detection System on Social Media." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.584.

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References


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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Apr 22 2026
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