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Toward automating detection of human values in the nuclear power debate
Author(s) -
Ishita Emi,
Oga Toru,
Cheng AnShou,
Fleischmann Kenneth R.,
Yasuhiro Takayama,
Oard Douglas W.,
Tomiura Yoichi
Publication year - 2017
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2017.14505401127
Subject(s) - newspaper , nuclear power , frame (networking) , coding (social sciences) , automation , frame analysis , content analysis , computer science , sentiment analysis , natural language processing , frame work , data science , nuclear disaster , artificial intelligence , nuclear power plant , sociology , engineering , media studies , social science , biology , telecommunications , ecology , mechanical engineering , architectural engineering , physics , nuclear physics
This paper describes the creation of a corpus of newspaper articles about the Fukushima nuclear disaster, a coding frame for content analysis of human values expressed or reflected in that corpus and preliminary results for automation of the content analysis. Understanding the human values that motivate sentiment towards an idea can help to characterize the basis for that sentiment, and this work is a first step toward applying that approach to positions on controversial events reported in the news.