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  1. Primacy effects in the formation of opinions on an unfamiliar environmental topic
    experimental evidence from mineral exploration and mining
    Author: Poluektova, Olga; Julienne, Hannah; Robertson, Deirdre A.; Braiden, Aoife K.; Lunn, Pete
    Published: December 13, 2022
    Publisher:  ESRI, Economic & Social Research Institute, Dublin

    Transitioning to the green economy relies on new developments that may negatively affect people's localities and involve certain risks. This study investigates how people form opinions about such developments, using mineral exploration and mining as... more

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 176
    Inter-library loan:
    No inter-library loan

     

    Transitioning to the green economy relies on new developments that may negatively affect people's localities and involve certain risks. This study investigates how people form opinions about such developments, using mineral exploration and mining as an example. A representative sample (N=1000) participated in a pre-registered online experiment where they were exposed to information supporting or opposing mining. We recorded a strong primacy effect: the information participants read first biased subsequent opinion. This effect was reinforced when people read counterargument that integrated information about both risks and benefits of mining and when they made a public stance.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/272968
    Series: ESRI working paper ; no. 741 (December 2022)
    Subjects: primacy effect; opinion formation; environment; climate crisis; energy crisis; place attachment
    Scope: 1 Online-Ressource (circa 33 Seiten), Illustrationen
  2. From Frequency to Sequence: How Quantitative Methods Can Inform Qualitative Analysis of Digital Media Discourse
    Author: Dang-Anh, Mark; Rüdiger, Jan Oliver
    Published: 2017
    Publisher:  DEU

    This paper aims at showing how quantitative corpus linguistic analysis can inform qualitative analysis of digital media discourse with respect to the mediality of language in use. Using the example of protest discourse in Twitter, in the field of... more

     

    This paper aims at showing how quantitative corpus linguistic analysis can inform qualitative analysis of digital media discourse with respect to the mediality of language in use. Using the example of protest discourse in Twitter, in the field of anti-Islamic ‘Pegida’ demonstrations, a three-step method of collecting, reducing and interpreting salient data is proposed. Each step is aligned with opera-tive medial features of the microblog: hashtags, retweets and @-interactions. The exemplary analysis reveals the importance of discussions of attendance numbers in protest discourse and the asymmetry between administrative (i.e. the police) and non-administrative discourse agents. Furthermore, it exemplifies how frequency analysis and sequence analysis can be combined for research in media linguistics.

     
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