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    政大機構典藏 > 傳播學院 > 廣告學系 > 期刊論文 >  Item 140.119/135233


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/135233


    Title: Impacts of Attitudes Toward Government and Corporations on Public Trust in Artificial Intelligence
    Authors: 陳憶寧
    Chen, Yi-Ning Katherine
    Wen, Chia-Ho Ryan
    Contributors: 廣告系
    Keywords: Motivated reasoning;news consumption;science community;political orientations;sponsors of scientific research
    Date: 2020-08
    Issue Date: 2021-05-27 12:00:50 (UTC+8)
    Abstract: Artificial intelligence (AI) has alarmed the society of Taiwan believing it is responsible for potential surveillance, data theft and abuse, and other privacy infringements. By adopting the theory of motivated reasoning, this study explores how Taiwanese people’s perceptions of AI are affected by their institutional trust, attitudes toward the government and corporations, which are the two most common sponsors of scientific development. First, findings establish that respondents’ science trust in AI is made up of perceptions of AI and its science community, and they have lower faith in the AI science community than in AI alone. Second, the perceptions of both AI and its science community are positively associated with trust in government and corporations. Third, scientific news has a direct bearing on AI trust, but not on either government or corporation trust. By contrast, political news has no effect on either trust in AI or its science community, yet trust in government and corporations mediates the influence of political news on trust in AI and its science community. Finally, demographic variables hardly predict trust in AI, AI science community, government, and corporations, but education and gender are directly related to news consumption, which further influences institutional and science trust.
    Relation: Communications Studies, 72, 115-131
    Data Type: article
    DOI 連結: https://doi.org/10.1080/10510974.2020.1807380
    DOI: 10.1080/10510974.2020.1807380
    Appears in Collections:[廣告學系] 期刊論文

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