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Journal of Medical Sciences
Article . 2017 . Peer-reviewed
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Journal of Medical Sciences
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Journal of Medical Sciences
Article . 2017
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Searching for Suicide Information on Web Search Engines in Chinese

Authors: Pei-Shen Ho; Po-Kuan Yeh; Yen-Feng Lee; Dong-Sheng Tzeng;

Searching for Suicide Information on Web Search Engines in Chinese

Abstract

Introduction: Recently, suicide prevention has been an important public health issue. However, with the growing access to information in cyberspace, the harmful information is easily accessible online. To investigate the accessibility of potentially harmful suicide-related information on the internet, we discuss the following issue about searching suicide information on the internet to draw attention to it. Methods: We use five search engines (Google, Yahoo, Bing, Yam, and Sina) and four suicide-related search queries (suicide, how to suicide, suicide methods, and want to die) in traditional Chinese in April 2016. We classified the first thirty linkages of the search results on each search engine by a psychiatric doctor into suicide prevention, pro-suicide, neutral, unrelated to suicide, or error websites. Results: Among the total 352 unique websites generated, the suicide prevention websites were the most frequent among the search results (37.8%), followed by websites unrelated to suicide (25.9%) and neutral websites (23.0%). However, pro-suicide websites were still easily accessible (9.7%). Besides, compared with the USA and China, the search engine originating in Taiwan had the lowest accessibility to pro-suicide information. The results of ANOVA showed a significant difference between the groups, F = 8.772, P < 0.001. Conclusions: This study results suggest a need for further restrictions and regulations of pro-suicide information on the internet. Providing more supportive information online may be an effective plan for suicidal prevention.

Keywords

Internet, RC86-88.9, R, Medicine, Medical emergencies. Critical care. Intensive care. First aid, suicide, search engines

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold