Automated Journalism; A Study on Selection of News Stories Based on Individual Priority
Arya M R1, Athira Sreekumar2, S Dinesh Babu3

1Arya M R, MJMC Post Graduation, Department of Visual Media & Communication, Amrita school of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India.

2Athira Sreekumar, MJMC Post Graduation, Department of Visual Media & Communication, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India.

3S Dinesh Babu, Assistant Professor, Department of Visual Media & Communication, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India.

Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 02 June 2019 | PP: 257-262 | Volume-8 Issue-7S2 May 2019 | Retrieval Number: G10450587S219/19©BEIESP

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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.

Keywords: Automated journalism, Artificial Intelligence, Google news, Selection of news Stories According to Individual Priority.
Scope of the Article: Artificial Intelligence Approaches to Software Engineering