Premium
Machine reading for relationships between autism research and the media
Author(s) -
Ding Ying,
Wang Fang,
Wang Xiaoyu,
Zhai Yujia
Publication year - 2017
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2017.14505401181
Subject(s) - autism , reading (process) , psychology , social media , scientific literature , developmental psychology , computer science , world wide web , linguistics , philosophy , paleontology , biology
Autism represents a broad group of developmental disorders characterized by impaired social interactions. It has attracted widespread concern in academia and media. The reported causes of autism have an enormous impact on the people's opinion about autistic patients and various treatments from scientific literature and media news. In this study, we use open information extraction (OIE), a machine reading technique, to automatically extract causal relationships from autism researches and news reports. We explored the differences between the scientific literature and news about the reported etiologies with respect to autism. As a result, we find that scientific papers clearly emphasize physical and biological factors, while the media emphasizes social factors as the perceived cause of autism.