• Sagar Sarvade
• Shraddha Pawar
• Fariha Naz
• Shraddha Tarapurkar
• Prof. Vibha Lahane, Prof. Meghana Solanki

The phony News Detection topic has gained a great deal of interest from researchers around the world. When some event has occurred, many people discuss it on the web through social networking. Very few people know the real fact of the event while most people believe the forwarded news from their credible friends or relatives. There are a lot of news articles, where the news is false or modified according to the individuals mind. Such type of activities are not good for the society where some rumors or vague news evaporates the negative thought among the people or a specific category of people. As fast the technology is moving, at the same pace the preventive measures are required to deal with such activities. So, there is a need for an automated system to analyze the truthfulness of the news. This paper gives a survey of different techniques used by the researcher to determine whether the news is real or fake.

Phony News Detection, Machine Learning techniques, negative effects, Natural Language Processing, online social Media, Classification

"Phony News Detection & Classification using NLP Approach: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a247-a250, June-2021, Available :http://www.jetir.org/papers/JETIR2106036.pdf

"Phony News Detection & Classification using NLP Approach: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa247-a250, June-2021, Available at : http://www.jetir.org/papers/JETIR2106036.pdf