Creating a Chinese suicide dictionary for identifying suicide risk on social media

PeerJ

Volumn 2015, Issue 12, 2015, Pages

  Lv, Meizhen ^a,b   Li, Ang ^c,d   Liu, Tianli ^b   Zhu, Tingshao ^a,e  

^a INSTITUTE OF PSYCHOLOGY   (China)

^b PEKING UNIVERSITY   (China)

^c BEIJING FORESTRY UNIVERSITY   (China)

^d UNIVERSITY OF NEW SOUTH WALES   (Australia)

^e INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

China; Microblog; Social media; Suicide risk; Weibo

Indexed keywords

ADULT; ANGER; ARTICLE; ASSESSMENT OF HUMANS; BOOK; CHINA; CHINESE SUICIDE DICTIONARY; CONVERGENT VALIDITY; DISTRESS SYNDROME; FEMALE; HOPELESSNESS; HOSTILITY; HUMAN; MALE; MODEL; PERFORMANCE; PERSONALITY; PSYCHOTRAUMA; RISK ASSESSMENT; SHAME; SOCIAL MEDIA; STRESS; SUICIDAL IDEATION; SUICIDAL POSSIBILITY SCALE; SUICIDE; SUPPORT VECTOR MACHINE MODEL; YOUNG ADULT;

EID: 84951038928     PISSN: None     EISSN: 21678359     Source Type: Journal    
DOI: 10.7717/peerj.1455     Document Type: Article

References (38)

1. Bantum EO, Owen JE. 2009. Evaluating the validity of computerized content analysis programs for identification of emotional expression in cancer narratives. Psychological Assessment 21:79-88 DOI 10.1037/a0014643.
2. Brezo J, Paris J, Turecki G. 2006. Personality traits as correlates of suicidal ideation, suicide attempts, and suicide completions: a systematic review. Acta Psychiatrica Scandinavica 113:180-206 DOI 10.1111/j.1600-0447.2005.00702.x.
3. Brown GK, Beck AT, Steer RA, Grisham JR. 2000. Risk factors for suicide in psychiatric outpatients: a 20-year prospective study. Journal of Consulting and Clinical Psychology 68:371-377 DOI 10.1037/0022-006X.68.3.371.
4. Che W, Li Z, Liu T. 2010. LTP: a Chinese language technology platform. In: COLING '10 proceedings of the 23rd international conference on computational linguistics: demonstrations. Beijing.
5. China Internet Network Information Center. 2014. The statistical report on Internet development in China. Available at http://www1.cnnic.cn/IDR/ReportDownloads/(accessed 31 July 2015).
6. Cortes C, Vapnik V. 1995. Support-vector networks. Machine Learning 20:273-297 DOI 10.1007/BF00994018.
7. Cull JG, GillWS. 1988. Suicide Probability Scale (SPS) manual. Los Angeles: Western Psychological Services.
8. Gao R, Hao B, Li H, Gao Y, Zhu T. 2013. Developing simplified Chinese psychological linguistic analysis dictionary for microblog. Lecture Notes in Computer Science 8211:359-368 DOI 10.1007/978-3-319-02753-136.
9. Gençöz TOP. 2006. Associated factors of suicide among university students: importance of family environment. Contemporary Family Therapy 28:261-268 DOI 10.1007/s10591-006-9003-1.
10. Holmes D, Alpers GW, Ismailji T, Classen C, Wales T, Cheasty V, Miller A, Koopman C. 2007. Cognitive and emotional processing in narratives of women abused by intimate partners. Violence Against Women 13:1192-1205 DOI 10.1177/1077801207307801.
11. Huang X, Zhang L, Liu T, Chiu D, Zhu T, Li X. 2014. Detecting suicidal ideation in Chinese microblogs with psychological lexicons. ArXiv preprint. arXiv:1411.0778.
12. Jarrold W, Javitz HS, Krasnow R, Peintner B, Yeh E, Swan GE. 2011. Depression and self-focused language in structured interviews with older men. Psychological Reports 109:686-700 DOI 10.2466/02.09.21.28.PR0.109.5.686-700.
13. Jashinsky J, Burton SH, Hanson CL, West J, Giraud-Carrier C, Barnes MD, Argyle T. 2014. Tracking suicide risk factors through Twitter in the US. Crisis: The Journal of Crisis Intervention and Suicide Prevention 35:51-59 DOI 10.1027/0227-5910/a000234.
14. Ku LW, Chen HH. 2007. Mining opinions from the web: beyond relevance retrieval. Journal of the American Society for Information Science and Technology 58:1838-1850 DOI 10.1002/asi.20630.
15. Li TM, Chau M, Wong PW, Yip PS. 2012. A hybrid system for online detection of emotional distress. In: Chau M, Wang GA, Yue WT, Chen H, eds. Intelligence and security informatics. Berlin: Springer Verlag, 73-80.
16. Li TM, Chau M, Yip PS, Wong PW. 2014a. Temporal and computerized psycholinguistic analysis of the blog of a Chinese adolescent suicide. Crisis: The Journal of Crisis Intervention and Suicide Prevention 35:168-175 DOI 10.1027/0227-5910/a000248.
17. Li L, Li A, Hao B, Guan Z, Zhu T. 2014b. Predicting active users' personality based on micro-blogging behaviors. PLoS ONE 9:e84997 DOI 10.1371/journal.pone.0084997.
18. Liang Y, Yang L. 2010. Study on reliability and validity of the Suicide Probability Scale. China Journal of Psychology 18:225-227.
19. McCarthy MJ. 2010. Internet monitoring of suicide risk in the population. Journal of Affective Disorders 122:277-279 DOI 10.1016/j.jad.2009.08.015.
20. Mikolov T, Chen K, Corrado G, Dean J. 2013. Efficient estimation of word representations in vector space. ArXiv preprint. arXiv:1301.3781.
21. Murano G. 2014. 8 shocking suicide attempts posted on the Internet. Available at http://www.oddee.com/item98907.aspx (accessed 8 July 2015).
22. Naud H, Daigle MS. 2010. Predictive validity of the Suicide Probability Scale in a male inmate population. Journal of Psychopathology and Behavioral Assessment 32:333-342 DOI 10.1007/s10862-009-9159-8.
23. O'Dea B, Wan S, Batterham PJ, Calear AL, Paris C, Christensen H. 2015. Detecting suicidality on Twitter. Internet Interventions 2:183-188 DOI 10.1016/j.invent.2015.03.005.
24. Park M, Cha C, Cha M. 2012. Depressive moods of users portrayed in Twitter. In: ACM SIGKDD workshop on healthcare informatics, HI-KDD 2012. Beijing.
25. Paul MJ, Dredze M. 2014. Discovering health topics in social media using topic models. PLoS ONE 9:e103408 DOI 10.1371/journal.pone.0103408.
26. Pennebaker JW, Chung CK, Ireland M, Gonzales A, Booth RJ. 2007. The development and psychometric properties of LIWC2007. Available at http://homepage.psy.utexas.edu/HomePage/faculty/Pennebaker/reprints/LIWC2007LanguageManual.pdf (accessed 31 July 2015).
27. Pestian JP, Matykiewicz P, Linn-Gust M, South B, Uzuner O, Wiebe J, Cohen KB, Hurdle J, Brew C. 2012. Sentiment analysis of suicide notes: a shared task. Biomedical Informatics Insights 5:3-16 DOI 10.4137/BII.S9042.
28. Phillips MR, Yang G, Zhang Y, Wang L, Ji H, Zhou M. 2002. Risk factors for suicide in China: a national case-control psychological autopsy study. The Lancet 360:1728-1736 DOI 10.1016/S0140-6736(02)11681-3.
29. Posner K, Brown GK, Stanley B, Brent DA, Yershova KV, Oquendo MA, Currier GW, Melvin GA, Greenhill L, Shen S, Mann JJ. 2011. The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. The American Journal of Psychiatry 168:1266-1277 DOI 10.1176/appi.ajp.2011.10111704.
30. Prieto VM, Matos S, Álvarez M, Cacheda F, Oliveira JL. 2014. Twitter: a good place to detect health conditions. PLoS ONE 9:e86191 DOI 10.1371/journal.pone.0086191.
31. Qiu L, Lin H, Ramsay J, Yang F. 2012. You are what you tweet: personality expression and perception on Twitter. Journal of Research in Personality 46:710-718 DOI 10.1016/j.jrp.2012.08.008.
32. Rogers JM, Lewis MM, Subich LM. 2002. Validity of the Suicide Assessment Checklist in an emergency crisis center. Journal of Counseling & Development 80:493-502 DOI 10.1002/j.1556-6678.2002.tb00216.x.
33. Roškar R, Podlesek A, Kuzmanić M, Demšar LO, Zaletel M, Marušič A. 2011. Suicide risk and its relationship to change in marital status. Crisis: The Journal of Crisis Intervention and Suicide Prevention 32:24-30 DOI 10.1027/0227-5910/a000054.
34. Rudd MD, Berman AL, Joiner TE, Nock MK, Silverman MM, Mandrusiak M, Van Orden K, Witte T. 2006. Warning signs for suicide: theory, research, and clinical applications. Suicide and Life-Threatening Behavior 36:255-262 DOI 10.1521/suli.2006.36.3.255.
35. Rude SS, Gortner EM, Pennebaker JW. 2004. Language use of depressed and depressive-vulnerable college students. Cognition and Emotion 18:1121-1133 DOI 10.1080/02699930441000030.
36. Schwartz HA, Eichstaedt JC, Kern ML, Dziurzynski L, Ramones SM, Agrawal M, Shah A, Kosinski M, Stillwell D, Seligman MEP, Ungar LH. 2013. Personality, gender, and age in the language of social media: the open-vocabulary approach. PLoS ONE 8:e73791 DOI 10.1371/journal.pone.0073791.
37. Sueki H. 2015. The association of suicide-related Twitter use with suicidal behaviour: a cross-sectional study of young internet users in Japan. Journal of Affective Disorders 170:155-160 DOI 10.1016/j.jad.2014.08.047.
38. World Health Organization. 2014. Preventing suicide: a global imperative. Available at http://www.who.int/mentalhealth/suicide-prevention/worldreport2014/en/(accessed 31 July 2015).