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Authors: Agrima Seth 1 ; Shraddha Nayak 2 ; Josiane Mothe 3 and Sangeeta Jadhay 2

Affiliations: 1 Army Institute of Technology and Université de Toulouse, India ; 2 Army Institute of Technology, India ; 3 Université de Toulouse, France

ISBN: 978-989-758-247-9

Keyword(s): News Dissemination, Twitter Data, News Articles Data, Data Analysis, Data Visualization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Coupling and Integrating Heterogeneous Data Sources ; Data Engineering ; Databases and Information Systems Integration ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Operational Research ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web 2.0 and Social Networking Controls ; Web Information Systems and Technologies

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.

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Paper citation in several formats:
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

@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},
}

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

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