Is it possible to crack the election enigma and provide the correct answer to that most fateful of all political questions: Who will win? Here is the real-life story of how an Indian journalist used latest data tools to accomplish something no one had ever achieved before: the ability to predict the winning party of any election even before the votes are counted. The tale of how Sanjeev Singh and data scientist Rishabh Srivastava converged their expertise to build the Singh-Srivastava Model is told in everyday, easy-to-understand language. Singh takes us step by step through the process of putting the model together, from the first hint that the idea would actually work to the final elation of victory and beyond. The Online Effect will educate and entertain not just psephologists and others who can use the model for their own work but also general voters and users of X (formerly Twitter) whose support of political parties and tweets respectively provide the foundation of the model.
Sanjeev Singh is one of India?s most eminent digital broadcast leaders with over 24 years of experience as a journalist and content producer in senior positions in digital, TV, print media and academia. He was previously Editor, Digital Broadcasting, Times Internet, where his primary work included creating digital video and audio content on the Times of India and nine other online platforms of the Times Group. Singh is currently Dean, Times School of Media at Bennett University.
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