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Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism
Published on: October 3, 2018
Public concerns and attitudes towards autism on Chinese social media based on K-means algorithm
Qi Zhou1, Yuling Lei1, Hang Du1
1Hangzhou Normal University, 2318th Yuhang Tang Avenue, Hangzhou, 311121, Zhejiang Province, China.
Abstract:
To investigate the hot topics and attitudes of autism in the larger community. In this study, we analyzed and summarized experimental texts from the social media platform Zhihu using the TF-IDF algorithm and K-means clustering approach. Based on the analysis of the 1,740,826-word experimental text, we found that the popularity of autism has steadily risen over recent years. Sufferers and their parents primarily discuss autism. The K-means clustering algorithm revealed that the most popular topics are divided into four categories: self-experience of individuals with autism, external views of individuals with autism, caring and stressful behaviors of caregivers, and information about autism. This study concluded that people with autism face more incredible negative emotions, external cognitive evaluations of the autistic group reflect stereotypes, the caregiver's family suffers high financial and psychological stress, and disorders caused by disease in autistic individuals.
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