ArticleAuthors: Trisha T. C. Lin (2022)
This mixed-method study uses a big data approach to examine cross-platform public sentiments towards Taiwan’s first nuclear energy referendum, and further conducts content analysis for nuclear news framing strategies. Sentiment analysis shows polarized affective attitudes towards Go Green with Nuclear (GGWN) referendum, regardless of media types. News coverage and social media contents reveal significant sentiment differences in narrating the referendum, nuclear energy, and political party related issues. Polarized political party-related nuclear claims tend to show negative sentiments. As for agenda setting, the big data analysis shows that politics dominate nuclear narratives on new... 
