当前位置: X-MOL 学术J. Affect. Disord. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Systematic Review of the Validity of Screening Depression through Facebook, Twitter, and Instagram
Journal of Affective Disorders ( IF 4.9 ) Pub Date : 2021-02-08 , DOI: 10.1016/j.jad.2020.08.091
Jiin Kim , Zara A. Uddin , Yena Lee , Flora Nasri , Hartej Gill , Mehala Subramanieapillai , Renna Lee , Aleksandra Udovica , Lee Phan , Leanna Lui , Michelle Iacobucci , Rodrigo B. Mansur , Joshua D. Rosenblat , Roger S. McIntyre

Background

The aim of this study was to identify the validity of using social media for depression screening.

Method

Article searches on PUBMED and PSYCINFO from database inception to August 20, 2019 were completed with a search string and filters.

Results

15 articles made the inclusion criteria. Facebook, Twitter, and Instagram profiles by depressed people were distinguishable from nondepressed people shown by social media markers. Facebook studies showed that having fewer Facebook friends and mutual friends, posting frequently, and using fewer location tags positively correlated with depressive symptoms. Also, Facebook posts with explicit expression of depressive symptoms, use of personal pronouns, and words related to pain, depressive symptoms, aggressive emotions, and rumination predicted depression. Twitter studies showed that the use of “past focus” words, negative emotions and anger words, and fewer words per Tweet positively correlated with depression. Finally, Instagram studies showed that differences in follower patterns, photo posting and editing, and linguistic features between depressed people and nondepressed people could serve as a marker.

Limitations

The primary articles analyzed had different methods, which constricts the amount of comparisons that can be made. Further, only four social media platforms were explored.

Conclusion: Social media markers like number and content of Facebook messages, linguistic variability in tweets and tweet word count on Twitter, and number of followers, frequency of Instagram use and the content of messages on Instagram differed between depressed people and nondepressed people. Therefore, screening social media profiles on these platforms could be a valid way to detect depression.



中文翻译:

通过Facebook,Twitter和Instagram进行筛查抑郁症有效性的系统评价

背景

这项研究的目的是确定使用社交媒体进行抑郁筛查的有效性。

方法

从数据库开始到2019年8月20日,对PUBMED和PSYCINFO的文章搜索已完成,并带有搜索字符串和过滤器。

结果

纳入标准有15篇。抑郁症患者的Facebook,Twitter和Instagram个人资料与社交媒体标记显示的非抑郁症患者有明显区别。Facebook的研究表明,Facebook朋友和共同朋友较少,经常发帖,并且使用的位置标签与抑郁症状呈正相关。此外,Facebook帖子中明确表达了抑郁症状,使用人称代词以及与疼痛,抑郁症状,攻击性情绪和反刍有关的词语,这些词语预示了抑郁症。Twitter研究表明,使用“过去关注”字词,负面情绪和愤怒字词以及每条Tweet字词较少与抑郁症呈正相关。最后,Instagram研究表明,关注者模式,照片发布和编辑,

局限性

分析的主要文章采用了不同的方法,从而限制了可以进行的比较数量。此外,仅探索了四个社交媒体平台。

结论:社交媒体标记,例如Facebook消息的数量和内容,Twitter上的推文和推文字数的语言变异,追随者数量,Instagram的使用频率以及Instagram上的消息内容在抑郁者和非抑郁者之间有所不同。因此,在这些平台上筛选社交媒体资料可能是检测抑郁症的有效方法。

更新日期:2021-02-08
down
wechat
bug