News Dissemination on Twitter and Conventional News Channels

Agrima Seth, Shraddha Nayak, Josiane Mothe, Sangeeta Jadhay

2017

Abstract

Big Data is "things that one can do at a large scale that cannot be done at a small one". Analyzing flows of news events that happen worldwide falls in the scope of Big Data. Twitter has emerged as a valuable source of information where users post their thoughts on news events at a huge scale. At the same time traditional media channels also produce huge amount of data. This paper presents means to compare the propagation of the same news topic through Twitter and news articles, both important yet varied sources. We present visual means based on maps to make it possible to visualize the flow of information at different level of temporal granularity. We also provide an example and how the flow can be interpreted.

Paper Citation

in Harvard Style

Seth A., Nayak S., Mothe J. and Jadhay S. (2017). News Dissemination on Twitter and Conventional News Channels . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 43-52. DOI: 10.5220/0006264100430052

in Bibtex Style

@conference{iceis17,
author={Agrima Seth and Shraddha Nayak and Josiane Mothe and Sangeeta Jadhay},
title={News Dissemination on Twitter and Conventional News Channels},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={43-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006264100430052},
isbn={978-989-758-247-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - News Dissemination on Twitter and Conventional News Channels
SN - 978-989-758-247-9
AU - Seth A.
AU - Nayak S.
AU - Mothe J.
AU - Jadhay S.
PY - 2017
SP - 43
EP - 52
DO - 10.5220/0006264100430052