| Literature DB >> 34926380 |
Meijie Chu1, Hongye Li1, Shengnan Lin1, Xinlan Cai1, Xian Li1, Shih-Han Chen1, Xiaoke Zhang1, Qingli Man2, Chun-Yang Lee3, Yi-Chen Chiang1.
Abstract
Suicide events may have a negative impact on all of society. The media plays a significant role in suicide prevention. Therefore, the aims of this study are (a) to understand the association between characteristics of suicide events and characteristics of who committed suicide, and event impact indexes (EIIs) of suicide reported on the internet; (b) to analyze violation of recommendations for reporting suicide by Weibo, and (c) to investigate the effect of online reports of suicide on public opinion. We carried out a content analysis of online reports of suicide. This study analyzed 113 suicide events, 300 news reports of suicide, and 2,654 Weibo comments about suicide collected from the WeiboReach between 2015 and 2020. We used a t-test and analysis of variance (ANOVA) to explore the potential factors associated with the EIIs of suicide events. The results found that (a) The suicide events reported on the internet during COVID-19 and those related to celebrities and students tend to have higher EIIs; (b) suicide reports on Weibo frequently violated WHO recommendations for suicide reporting in the media; and (c) public opinion of suicide reporting in the online media was mostly emotional and irrational, which is not beneficial for public mental health and suicide prevention. In conclusion, first, the situation of many people working from home or studying from home and spreading more time online during COVID-19 may lead to suicide events obtain more public attention. Online media could further improve public responsible reporting and daily media-content surveillance, especially taking particular care in those suicide events during COVID-19, and related to celebrities and students, which may have a higher event impact on the internet. Second, health managers should regular assessment of observance of the WHO recommendations for suicide reporting by online social media to prevent suicide. Third, health communication managers should use big data to identify, assess, and manage harmful information about suicide; and track anyone affected by suicide-related reports on social media to reduce the negative impact of public opinion to intervene suicide in the early stage of suicide.Entities:
Keywords: China; negative impact; online media; public opinion; suicide reporting
Mesh:
Year: 2021 PMID: 34926380 PMCID: PMC8678273 DOI: 10.3389/fpubh.2021.756360
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Flow chart of the study. EII, Event Influence Index.
Relationship between characteristics and EII of suicide reports on the internet (n1 = 113 suicide events).
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| | 2.415 | 0.017 | ||
| Before COVID-19 | 74 | 58.52 | ||
| During COVID-19 | 39 | 63.88 | ||
| | −1.285 | 0.202 | ||
| 29 | 63.14 | |||
| WeChat or other online media | 84 | 59.41 | ||
| | 0.385 | 0.701 | ||
| No | 89 | 60.11 | ||
| Yes | 24 | 61.31 | ||
| | 0.560 | 0.573 | ||
| Falling | 48 | 59.90 | ||
| Hanging | 15 | 63.82 | ||
| Others | 50 | 59.77 | ||
| | 1.117 | 0.331 | ||
| Home, hotel, apartment, rental house | 31 | 62.72 | ||
| School | 15 | 62.53 | ||
| Others | 67 | 58.79 | ||
| | 0.432 | 0.668 | ||
| Blue V | 73 | 63.71 | ||
| Yellow V | 32 | 62.65 | ||
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| | 4.598 | 0.012 | ||
| Celebrity | 37 | 64.47 | (C, S > G) | |
| Student | 25 | 62.57 | ||
| General people | 51 | 56.31 | ||
| | 0.003 | 0.997 | ||
| male | 58 | 60.40 | ||
| female | 41 | 60.25 | ||
| Unknown or multi-person | 14 | 60.57 | ||
| | 0.377 | 0.687 | ||
| Up to 44 years old | 76 | 60.24 | ||
| 45~59 years old | 17 | 58.54 | ||
| Unknown or multi-person | 20 | 62.39 | ||
| | −1.257 | 0.211 | ||
| China | 94 | 59.65 | ||
| Others | 19 | 63.92 | ||
The value of t,
The value of F;
As for the events time, if online reported suicide events occurred from January 1, 2015, to December 30, 2019, was defined as “Before COVID-19”; and events occurred after December 31, 2019, was defined as “During COVID-19.”
P < 0.05. We used post-hoc tests by Student-Newman-Keuls (SNK). Blue V represents the official authority, which is a logo that can only be certified by large organizations such as governments, businesses, schools, and media. Yellow V represents individual bloggers with more than 10 million readers per month.
Figure 2Violation of the WHO recommended list of suicide reporting on Weibo (n2 = 300 Weibo news items). Don't 1: Avoid prominent placement and unique repetition of stories about suicide; Don't 2: Avoid language which sensationalizes or normalizes suicide, or presents it as a solution to problems; Don't 3: Avoid explicit description of the method used in a completed or attempted suicide; Don't 4: Avoid providing detailed information about the site of a completed or attempted suicide; Don't 5: Avoid sensational headlines; Don't 6: Avoid using photographs, unedited video footage, or links to electronic media.
Figure 3The effect of high EII suicide-related news on public opinion and response patterns of netizens by different social identities (n3 = 2,654 Weibo comments).