Abstract:

Despite the increase in suicide cases today, the study of suicide is quite limited. This study aims to address a suicide case that has occurred in our country from a judicial psychological point of view to understanding the structure of suicide cases that are not yet found in the summer, reflecting the cyber space. In order to determine the case to be investigated, 11 e-suicide cases between January 1, 2014 and January 1, 2020 have been scanned from the Turkish internet archive (public open digital data shared on social media such as Facebook, Twitter, Instagram and Youtube) and the news of 1,298 suicide attempts included in national newspapers. The news received later was detailedly examined. From cases covering all details (sex, age, cause and method of suicide), the first e-suicide case shared via social media in our country was chosen to be examined by random choice method. The suspect is a 35-year-old man. The online video documentation selected as data was used by writing, thumbnail and the meaningful level theme analysis method, and a profound psychodilological analysis was made. According to the results of the analysis, the categories are classified as “sentiments”, “perceptions”, “functions” and “thoughts”. After the video sharing, it was that the family arrived at the monastery’s house and that the monastery was hanging on the natural gas pipeline. Legal investigations on the incident have been conducted. As seen from this case, cyber-based suicide notes are in a public, accessible structure. To understand the dynamics of suicide, assessing through a case will be functional when the existing available data is monitored. However, scientific research on this issue needs to be increased. The existing findings are believed to provide profound information on the perception of the person who left the e-suicide note and his relationships with others. Due to the nature of the quality analysis, the findings are not generalizable, but the findings can be evaluated in the application environments and social media in the identification and prevention studies of people with a tendency to suicide.

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