Vol. 3, Issue 1, Part L (2017)
Big data and data journalism from the perspective of data scientists, retailers, and journalists
Big data and data journalism from the perspective of data scientists, retailers, and journalists
Author(s)
Yash Paul and Rajesh Singh
Abstract
The main ambition of this study is to motivate and make journalism professionals aware of Big Data & and its applications in journalism. Big Data can be defined in terms of 5V’s i.e., Volume, velocity, value, Veracity, and variety. Huge data sets can be analyzed using computers to identify motifs, tendencies, and associations, especially those related to human conduct and interactions. Big data is a social, cultural, and technological phenomenon. Professionals in the media and communication have recently begun to analyze and think about data science and big data in relation to the media and public life, especially the consequences of journalism. This paper introduces different techniques and methodologies of data science and big data that may be needed to enhance the quality of journalism all around the world. This study presents the idea of data journalism from the viewpoint of the BBC, and we'll also look at how other TV channels utilize the idea of data science and big data to make their shows better. We'll explore how big data is being used to track the daily growth of the retail sector. Throughout this study, we will see how big data can be used to keep journalism at a high standard. Finally, we provide a summary of the numerous speeches and opinions of leading journalists and CEOs of the most prestigious media industries worldwide.
How to cite this article:
Yash Paul, Rajesh Singh. Big data and data journalism from the perspective of data scientists, retailers, and journalists. Int J Appl Res 2017;3(1):1082-1089. DOI:
10.22271/allresearch.2017.v3.i1l.12396