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Title: On the coverage of science in the media: A big data study on the impact of the Fukushima disaster
Authors: Lansdall-Welfare, T
Sudhahar, S
Veltri, Giuseppe A.
Cristianini, N
First Published: Oct-2014
Presented at: IEEE
Publisher: IEEE
Citation: Big Data (Big Data), 2014 IEEE International Conference on, 2014, pp. 60-66
Abstract: The contents of English-language online-news over 5 years have been analyzed to explore the impact of the Fukushima disaster on the media coverage of nuclear power. This big data study, based on millions of news articles, involves the extraction of narrative networks, association networks, and sentiment time series. The key finding is that media attitude towards nuclear power has significantly changed in the wake of the Fukushima disaster, in terms of sentiment and in terms of framing, showing a long lasting effect that does not appear to recover before the end of the period covered by this study. In particular, we find that the media discourse has shifted from one of public debate about nuclear power as a viable option for energy supply needs to a re-emergence of the public views of nuclear power and the risks associated with it. The methodology used presents an opportunity to leverage big data for corpus analysis and opens up new possibilities in social scientific research.
DOI Link: 10.1109/BigData.2014.7004454
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Archived with reference to IEEE PSPB Operations Manual. Publication of record:
Appears in Collections:Conference Papers & Presentations, Dept. of Media and Communication

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