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Automated Journalism; A Study on Selection of News Stories based on Individual Priority

Publication Type : Journal Article

Publisher : OPUS : IJITEE Journal

Source : OPUS : IJITEE Journal , Volume 8, Issue 7S2 (2019)

Url :

Campus : Kochi

School : School of Arts and Sciences

Department : English

Year : 2019

Abstract : Automated journalism is a set of artificial intelligence algorithms that select thousands of news stories for a particular topic quickly, potentially, in minimum cost and without much errors as compared to human journalists. Automated journalism is most useful in generating routine news stories for repetitive topic for which clean, accurate and structured data are available. The paper aims to discuss the bird view of artificial intelligence and examine how these technologies are adopted in the Google news engine. And the paper also demands the criteria and process of selection of news stories to each of their readers in accordance with their personal priorities by analysing their previous Google search and most visited pages in internet. The author has employed quantitative analysis in this paper by monitoring different random samples about the relation between their previous Google searches and the news stories that has been selected automatically by the Google news for them.

Cite this Research Publication : A. M. R, sreekumar, A., and S. Dinesh Babu, “Automated Journalism; A Study on Selection of News Stories based on Individual Priority”, OPUS : IJITEE Journal , vol. 8, no. 7S2, 2019.

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