A Transnational Analysis of News and Tweets about Nuclear Phase-Out in the Aftermath of the Fukushima Incident

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Heinrich P, Adrian C, Kalashnikova O, Schäfer F, Evert S
Editor(s): Andreas Witt, Jana Diesner, Georg Rehm
Publisher: ELRA
Publishing place: Paris
Publication year: 2018
Conference Proceedings Title: Proceedings of the LREC 2018 “Workshop on Computational Impact Detection from Text Data”
Pages range: 8 - 16
Language: English


Abstract

Taking the impact of the Fukushima incident on the global
discourse about nuclear energy as a case study, the present paper
shows how to integrate computational linguistic methods into
corpus-based discourse analysis (CDA). After an extensive
literature review with regards to the related hermeneutic work,
we present the corpus linguistic methods and point out
methodological extensions. These extensions include visualization
techniques that might help hermeneutic researchers explore large
corpora, and second-order collocates, which help triangulate the
semantics of lexical items. In our case study, we firstly give an
in-depth analysis of the discourses that have formed around
salient lexical items, in particular nuclear phase-out and energy
transition, in the German Frankfurter Allgemeine Zeitung (FAZ)
and the Japanese Yomiuri (both are conservative newspapers of the
respective countries). We then provide preliminary results for
the impact that the discourse had on German Twitter data. Last
but not least, we show what effect the discourse has had on
second-order collocates of the lexical item Germany in the FAZ
corpus


FAU Authors / FAU Editors

Adrian, Christoph
Lehrstuhl für Kommunikationswissenschaft
Evert, Stefan Prof. Dr.
Lehrstuhl für Korpus- und Computerlinguistik
Heinrich, Philipp
Lehrstuhl für Korpus- und Computerlinguistik
Kalashnikova, Olena
Lehrstuhl für Japanologie mit dem Schwerpunkt Japan der Moderne und Gegenwart


How to cite

APA:
Heinrich, P., Adrian, C., Kalashnikova, O., Schäfer, F., & Evert, S. (2018). A Transnational Analysis of News and Tweets about Nuclear Phase-Out in the Aftermath of the Fukushima Incident. In Andreas Witt, Jana Diesner, Georg Rehm (Eds.), Proceedings of the LREC 2018 “Workshop on Computational Impact Detection from Text Data” (pp. 8 - 16). Miyazaki, JP: Paris: ELRA.

MLA:
Heinrich, Philipp, et al. "A Transnational Analysis of News and Tweets about Nuclear Phase-Out in the Aftermath of the Fukushima Incident." Proceedings of the Workshop on Computational Impact Detection from Text Data, Miyazaki Ed. Andreas Witt, Jana Diesner, Georg Rehm, Paris: ELRA, 2018. 8 - 16.

BibTeX: 

Last updated on 2018-04-07 at 16:09