Date of Award
Spring 2023
Document Type
Open Access Thesis
Department
School of Journalism and Mass Communications
First Advisor
Shannon A. Bowen
Abstract
This thesis tested the degree of trustworthiness of disaster-related information generated by artificial intelligence among American people and Chinese people, and explored the causes of people's attitudes towards trust or distrust. The thesis used OpenAI's GPT-3 model to generate stories based on real disaster events by artificial intelligence, and tested the degree of trustworthiness in semi-structured interview. The study showed that it was promising to use AI technology to publicize disaster-related news to audience. To increase readers' trust in AI-generated disaster-related information, news organizations should maintain a high level of transparency about the identity of the AI author, use the AI system on early reporting of disaster events, and focus on the proper wording in emotionally impactful statements.
Rights
© 2023, Xin Tao
Recommended Citation
Tao, X.(2023). Exploring Trustworthiness Issues About Disaster-related Information Generated by Artificial Intelligence. (Master's thesis). Retrieved from https://scholarcommons.sc.edu/etd/7363