2024
1.

Alex W. Kirkpatrick; Amanda D. Boyd; Jay D. Hmielowski
In: AI & SOCIETY, 2024, ISSN: 1435-5655.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Information sharing, Media exposure, Psychological distance, Public engagement with science and technology
@article{kirkpatrick_who_2024,
title = {Who shares about AI? Media exposure, psychological proximity, performance expectancy, and information sharing about artificial intelligence online},
author = {Alex W. Kirkpatrick and Amanda D. Boyd and Jay D. Hmielowski},
url = {https://doi.org/10.1007/s00146-024-01997-x},
doi = {10.1007/s00146-024-01997-x},
issn = {1435-5655},
year = {2024},
date = {2024-06-01},
urldate = {2024-06-01},
journal = {AI \& SOCIETY},
abstract = {Media exposure can shape audience perceptions surrounding novel innovations, such as artificial intelligence (AI), and could influence whether they share information about AI with others online. This study examines the indirect association between exposure to AI in the media and information sharing about AI online. We surveyed 567 US citizens aged 18 and older in November 2020, several months after the release of Open AI’s transformative GPT-3 model. Results suggest that AI media exposure was related to online information sharing through psychological proximity to the impacts of AI and positive AI performance expectancy in serial mediation. This positive indirect association became stronger the more an individual perceived society to be changing due to new technology. Results imply that public exposure to AI in the media could significantly impact public understanding of AI, and prompt further information sharing online.},
keywords = {Artificial intelligence, Information sharing, Media exposure, Psychological distance, Public engagement with science and technology},
pubstate = {published},
tppubtype = {article}
}
Media exposure can shape audience perceptions surrounding novel innovations, such as artificial intelligence (AI), and could influence whether they share information about AI with others online. This study examines the indirect association between exposure to AI in the media and information sharing about AI online. We surveyed 567 US citizens aged 18 and older in November 2020, several months after the release of Open AI’s transformative GPT-3 model. Results suggest that AI media exposure was related to online information sharing through psychological proximity to the impacts of AI and positive AI performance expectancy in serial mediation. This positive indirect association became stronger the more an individual perceived society to be changing due to new technology. Results imply that public exposure to AI in the media could significantly impact public understanding of AI, and prompt further information sharing online.