Abstract
This study aimed to analyze the social perceptions of linked autism disabilities and characteristics of parents of young children with autism disabilities in South Korea by web crawling social media and performing text mining. From January 2020 to June 2023, a total of 1,526 posts were collected from social media platforms, and examined to identify the main topics that directed the flow of information. The results were as follows. In the first frequency analysis, “speech,” “ㅠㅠ,” “language,” “treatment,” and “test” had the highest frequency. In network analysis, “mother,” “thinking” and “be bad” showed high connectivity in semantic centrality, and “be bad,” “teacher,” and “children” in mediating centrality. The CONCOR analysis was classified into a total of four clusters related to families, diagnosis, intervention, and perception. Based on the above research results, the implications and limitations of the study were discussed.
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