Analysis of the Causes and Mitigation Paths of Artificial Intelligence Anxiety among Journalism Practitioners
Year: 2024
Type: article
Abstract: The transformation of news media into intelligent media is in the ascendant, and artificial intelligence (AI) technology has brought news practitioners into the era of intelligent production, but also brought them the psychological worry of AI anxiety. The study analyses the causes of AI anxiety among news practitioners from three aspects: the dissolution of their professional concepts, the prevalence of professional substitution, and the polarisation of professional skill requirements, and proposes a path to alleviate the problem by balancing self-efficacy and psychological expectations through scientific cognition, promoting the human-machine symbiosis model in the field of journalism through multi-party collaboration, and providing special support to improve the protection of news practitioners' profession.
Authors: Kewen Liang, Kaidong Dong
Institution: Guangzhou University
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4403546535