• Dr.A.Peda Gopi
• Ganjikunta Sai Avanthi
• Manda Himani
• Marri Leela Swarna
• Bussa Achitha

In the digital era, fake news detection on social media is a matter of great concern that also involves identification and control of misinformation as well as disinformation being spread across these platforms. In this process, both automated techniques and human-based methods are employed. Automated processes make use of Natural Language Processing (NLP) to examine text for indicators of falsity, whereas machine learning models which are trained with sets of verified fake and genuine news can predict whether new content is false or not. Furthermore, fact-checking APIs and network analysis improve detection by confirming information and studying how it is distributed. Human-based approaches focus on source verification, cross-referencing with multiple trusted outlets, and exposing biases in reporting. Users should exercise critical thinking skills; be able to identify sensational headlines and grammatical errors; access reliable fact-checking websites among other best practices. Furthermore, there are browser extensions like News Guard in addition to platform-specific measures that aid users in identifying untrustworthy sources while at the same time flagging misleading content. These methods have been integrated into a multifaceted approach which is crucial to fighting the prevailing problem of fake news thus promoting enlightened public discussion.

Fake news detection ,Social media ,Misinformation, Automated techniques ,Natural Language Processing (NLP),Machine learning models ,Fact-checking APIs, Network analysis, Source verification, Cross-referencing, Critical thinking, Trusted outlets, Browser extensions, News Guard, Platform-specific measures ,Misleading content, Public discussion

"FAKE NEWS DETECTION ON SOCIAL MEDIA USING BLOCK CHAIN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.142-152, October-2024, Available :http://www.jetir.org/papers/JETIRGN06017.pdf

"FAKE NEWS DETECTION ON SOCIAL MEDIA USING BLOCK CHAIN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. pp142-152, October-2024, Available at : http://www.jetir.org/papers/JETIRGN06017.pdf