• Siddhant Bajpai
• Shweta Kushwaha
• Er. Sandeep Dubey

Fake content is something that is present on social media or on other sites with the objective of misleading the audience or the readers with the increasing reach of social media to the number of people the chances of spreading fake news among them is also increasing. So has always been a burning topic. To control the widespread of fake content and to retain the trust of people on social media it is necessary to perform a fake content check on any material before it is posted on social media. This paper presents a survey on fake news detection. It summarizes the work done previously in this field. In addition, here we propose a machine learning approach to detect fake content. We predict whether the text provided by the user is fake or real using the SVM and Naive Bayes machine learning algorithms.

Machine Learning, Logistic Regression, ensemble, Random Forest

"A Survey on Fake Content Detection Over the Internet ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.g607-g609, May-2022, Available :http://www.jetir.org/papers/JETIR2205769.pdf

"A Survey on Fake Content Detection Over the Internet ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppg607-g609, May-2022, Available at : http://www.jetir.org/papers/JETIR2205769.pdf