Abstract
News dissemination in the modern world deploys online social networks (OSNs) to instantly and freely convey facts and opinions to Internet users worldwide. Recent research studies the structure of the graph formed by the relationships between news readers and media outlets in OSNs to investigate the profile of the media and derive their political leanings. In this work, we focus on the notion of political impartiality in multipartite political scenes. Our aim is to describe the graph-theoretic attributes of the ideal outlet that exhibits an impartial stance towards all political groups and propose a methodology based on Twitter, an OSN with profound informative and political profile, to algorithmically approximate this ideal medium and evaluate the deviation of popular outlets from it. The magnitude of deviation is used to rank the existing outlets based on their political impartiality and, hence, tackle the bewildering question: Which are the most impartial news media in a political scene?. We utilize our techniques on a snapshot of the Twitter subgraph concerning the Greek political and news media scene in April 2018. The results of our approach are juxtaposed with the findings of a survey provided to a group of political scientists and the efficiency of our proposed methodology is soundly confirmed.
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Acknowledgements
This work was supported by the project “Assessment of News Reliability in Social Networks of Influence” (Grant No. MIS 5006337) that has been co-financed by the Operational Program “Human Resources Development, Education and Lifelong Learning” and is co-financed by the European Union (European Social Fund) and Greek National funds. We thank Chrysanthos Tassis and Costas Eleftheriou from the Department of Social Administration and Political Science, Democritus University of Thrace, for their support in running the survey and Maria Kyriakidou from the School of Journalism, Media and Culture, Cardiff University, for the valuable information and guidance in comprehending the notion of news media impartiality. We would also like to thank the anonymous reviewer for providing the valuable feedback that led us to the creation of projection \(Proj^{G}_{\phi -pos}\).
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Gyftopoulos, S., Drosatos, G., Stamatelatos, G. et al. A Twitter-based approach of news media impartiality in multipartite political scenes. Soc. Netw. Anal. Min. 10, 36 (2020). https://doi.org/10.1007/s13278-020-00642-x
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DOI: https://doi.org/10.1007/s13278-020-00642-x