UPM Institutional Repository

The influence of negative stereotypes in science fiction and fantasy on public perceptions of artificial intelligence: a systematic review


Citation

Bo, Duan and Ma’rof, Aini Azeqa and Zaremohzzabieh, Zeinab (2024) The influence of negative stereotypes in science fiction and fantasy on public perceptions of artificial intelligence: a systematic review. Studies in Media and Communication, 13 (1). art. no. undefined. pp. 180-190. ISSN 2325-8071; eISSN: 2325-808X

Abstract

This systematic literature review (SLR) explores the impact of negative stereotypes in science fiction and fantasy on public attitudes towards artificial intelligence (AI). By analyzing 9 studies published between 2011 and 2023, this review identifies key themes related to fear, distrust, ethical concerns, and the influence of media portrayals on the acceptance and adoption of AI technologies. The findings indicate that negative portrayals in these genres significantly increase fear and anxiety towards AI, leading to heightened skepticism and ethical concerns. Moreover, these negative stereotypes hinder the acceptance of AI in various fields, particularly affecting younger demographics more profoundly. This review highlights the need for more balanced and diverse media portrayals of AI to mitigate negative attitudes and promote a more nuanced understanding of AI technologies, particularly in light of its increasing role in various sectors.


Download File

[img] Text
123543.pdf - Published Version
Available under License Creative Commons Attribution.

Download (383kB)

Additional Metadata

Item Type: Article
Subject: Communication
Subject: Sociology and Political Science
Divisions: Faculty of Human Ecology
Institute for Social Science Studies
DOI Number: https://doi.org/10.11114/smc.v13i1.7212
Publisher: Redfame Publishing
Keywords: Ai adoption; Artificial intelligence; Ethical concerns; Negative stereotypes; Public attitudes; Science fiction; Systematic review
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 11 Mar 2026 08:42
Last Modified: 11 Mar 2026 08:42
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11114/smc.v13i1.7212
URI: http://psasir.upm.edu.my/id/eprint/123543
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item