Stigmatization of Depression Caused by the Spread of Misinformation in Social Media—Taking China’s Douyin(TikTok) as an Example
- 10.2991/978-2-494069-31-2_408How to use a DOI?
- Depression; Social Media; Stigmatization; Stereotype; TikTok
Psychological medical institutions are spreading depression-related knowledge through contemporary social media to improve the vigilance of the broad masses to depression. Most of the popular science knowledge about depression is negative due to insufficient information, which leads to two major problems for patients with depression. The first one is that the public is unable to distinguish the difference between depressed mood and clinical depression, which leads to the public's wrong self-diagnosis of clinical depression. The second one is that the wrong knowledge makes the public have a negative stereotype of depression. This study indicates that China’s TikTok video will be analyzed to find out the cause of stigma and propose solutions. Importantly, China’s TikTok video unintentionally spreads misinformation, indirectly shapes users’ moods, and results in sleep deprivation and depression. In the digital era, people have become less active but addicted to social media at all times because of FOMO, the fear of missing out. To reduce depression, people need to reduce the use of social media and make efforts to enhance face-to-face social interaction. Importantly, social media should monitor misinformation on social media, and make sure that online users will have access to authentic information instead of feeling depressed and isolated.
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Cite this article
TY - CONF AU - Chenghao An PY - 2022 DA - 2022/12/29 TI - Stigmatization of Depression Caused by the Spread of Misinformation in Social Media—Taking China’s Douyin(TikTok) as an Example BT - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022) PB - Atlantis Press SP - 3475 EP - 3481 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-31-2_408 DO - 10.2991/978-2-494069-31-2_408 ID - An2022 ER -