Impact of Positive Journalism: A Machine Learning Perspective

  • Nikhil Matta, Sachin Pondichurri, Sagarika Jain, Ujjwal Jain, Vishnu Vellure, Preeti Mulay, Rahul Joshi


With the exponential rise and change in technology over recent times, the way users consume data has changed along with the changes in technology. The data we consume on a regular basis has a direct correlation to how we feel and react. Dr APJ Abdul Kalam, the 11th president of India, once stated; “Why is the Indian media so negative? Why are we in India so embarrassed to recognize our own strengths, our achievements? We are such a great nation. We have so many amazing success stories but we refuse to acknowledge them. There are millions of such achievements but our media is only obsessed with the bad news and failures and disasters.” With the direction in which the media is headed all over the world, we decided to try and comprehend its effects on readers.

In this paper, we attempt to understand how the news that we regularly go through affects us and what role machine learning could play to help the situation. The work done in this paper can be used to help further the research in the field of natural language processing and its use in news. Since the advent of internet technologies, databases and libraries of e-News Paper is getting built over the years. Few university libraries and online libraries / archives become very useful data source for researchers from media domain. These huge data sources are useful for researchers from IT domain too for applying various classification techniques to know further details and insights which are printed as news, published worldwide, read by many and used too.