Big data opportunities for social behavioral and mental health research

Social Science and Medicine

Volumn 189, Issue , 2017, Pages 167-169

  Gruebner, Oliver ^a,b   Sykora, Martin ^c   Lowe, Sarah R ^d   Shankardass, Ketan ^e   Galea, Sandro ^f   Subramanian, S V ^g  

^a HUMBOLDT UNIVERSITY   (Germany)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^d MONTCLAIR STATE UNIVERSITY   (United States)

^e WILFRID LAURIER UNIVERSITY   (Canada)

^f BOSTON UNIVERSITY   (United States)

^g HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Emotions; Geo social media; Mental health; Sentiment; Social media

Indexed keywords

ACCESS TO INFORMATION; CLASSIFICATION; CLUSTER ANALYSIS; DEPRESSION; EMOTIONALITY; HEALTH HAZARD; HUMAN; HURRICANE; INFORMATION DISSEMINATION; MACHINE LEARNING; MEDICAL INFORMATION; MEDICAL RESEARCH; MENTAL DISEASE; MENTAL HEALTH; MENTAL HEALTH CARE; NATURAL DISASTER; NATURAL LANGUAGE PROCESSING; NOTE; ONLINE SYSTEM; POSTTRAUMATIC STRESS DISORDER; PSYCHOLOGICAL WELL-BEING; RISK ASSESSMENT; RISK FACTOR; SOCIAL BEHAVIOR; SOCIAL INTERACTION; SOCIAL MEDIA; SOCIAL NETWORK; SOCIAL PSYCHOLOGY; SOCIAL SUPPORT; SUICIDAL BEHAVIOR; TERRORISM; BEHAVIORAL RESEARCH; DATA MINING; PROCEDURES;

BEHAVIORAL RESEARCH; DATA MINING; HUMANS; MENTAL HEALTH; SOCIAL MEDIA;

EID: 85026238902     PISSN: 02779536     EISSN: 18735347     Source Type: Journal    
DOI: 10.1016/j.socscimed.2017.07.018     Document Type: Note

References (31)

1. Bollen, J., Pepe, A., Mao, H., Modeling public mood and emotion: twitter sentiment and socio-economic phenomena. Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), 2011 17–21 July 2011, Barcelona, Spain. Presented at the Fifth International AAAI Conference on Weblogs and Social Media.
2. Conway, M., O'Connor, D., Social media, big data, and mental health: current advances and ethical implications. Curr. Opin. Psychol. 9 (2016), 77–82, 10.1016/j.copsyc.2016.01.004.
3. Coppersmith, G., Harman, C., Dredze, M., Measuring post traumatic stress disorder in twitter. Eighth International AAAI Conference on Weblogs and Social Media, 2014, 579–582 Eighth International AAAI Conference on Weblogs and Social Media.
4. De Choudhury, M., Counts, S., Horvitz, E., Social media as a measurement tool of depression in populations. Proceedings of the 5th Annual ACM Web Science Conference on - WebSci ’13, 2013, 10.1145/2464464.2464480.
5. Dodds, P.S., Harris, K.D., Kloumann, I.M., Bliss, C.A., Danforth, C.M., Temporal patterns of happiness and information in a global social network: hedonometrics and twitter. PLoS One, 6, 2011, e26752.
6. Gerrard, D., Sykora, M., Jackson, T., Social media analytics in museums: extracting expressions of inspiration. Mus. Manag. Curatorsh. 32 (2017), 232–250, 10.1080/09647775.2017.1302815.
7. Glass, K., Colbaugh, R., Estimating the sentiment of social media content for security informatics applications. Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, 2011, 10.1109/isi.2011.5984052.
8. Gruebner, O., Lowe, S.R., Sykora, M., Shankardass, K., Subramanian, S.V., Galea, S., A novel surveillance approach for disaster mental health. PLoS ONE, 12(7), 2017, e0181233, 10.1371/journal.pone.0181233.
9. Gruebner, O., Sykora, M., Lowe, S.R., Shankardass, K., Trinquart, L., Jackson, T., Subramanian, S.V., Galea, S., Mental health surveillance after the terrorist attacks in Paris. Lancet 387 (2016), 2195–2196, 10.1016/S0140-6736(16)30602-X.
10. Haight, M., Quan-Haase, A., Corbett, B.A., Revisiting the digital divide in Canada: the impact of demographic factors on access to the internet, level of online activity, and social networking site usage. Inf. Commun. Soc. 17 (2014), 503–519, 10.1080/1369118x.2014.891633.
11. Junco, R., Merson, D., Salter, D.W., The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychol. Behav. Soc. Netw. 13 (2010), 619–627, 10.1089/cyber.2009.0357.
12. Kuehn, B.M., Twitter streams fuel big data approaches to health forecasting. JAMA 314 (2015), 2010–2012, 10.1001/jama.2015.12836.
13. Moreno, M.A., Goniu, N., Moreno, P.S., Diekema, D., Ethics of social media research: common concerns and practical considerations. Cyberpsychol. Behav. Soc. Netw. 16 (2013), 708–713, 10.1089/cyber.2012.0334.
14. Murphy, S.C., A hands-on guide to conducting psychological research on twitter. Soc. Psychol. Personal. Sci. 8 (2017), 396–412, 10.1177/1948550617697178.
15. Peng, X., Luo, J., Glenn, C., Zhan, J., Liu, Y., Large-scale Sleep Condition Analysis Using Selfies from Social Media. 2017 arXiv preprint arXi:1704.
16. Ravi, K., Ravi, V., A survey on opinion mining and sentiment analysis: tasks, approaches and applications. Knowledge-Based Syst. 89 (2015), 14–46, 10.1016/j.knosys.2015.06.015.
17. Robertson, C., Feick, R., Sykora, M., Shankardass, K., Shaughnessy, K., Personal activity centres and geosocial data analysis: combining big data with small data. Lecture Notes in Geoinformation and Cartography, 2017, 145–161, 10.1007/978-3-319-56759-4_9.
18. Sadilek, A., Kautz, H., DiPrete, L., Labus, B., Portman, E., Teitel, J., Silenzio, V., Deploying nEmesis: preventing foodborne illness by data mining social media. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016, AAAI Press, 3982–3989.
19. Sax, M., Big data: finders keepers, losers weepers?. Ethics Inf. Technol. 18 (2016), 25–31, 10.1007/s10676-016-9394-0.
20. Shaughnessy, K., Reyes, R., Shankardass, K., Sykora, M., Feick, R., Lawrence, H., Robertson, C., Using geolocated social media for ecological momentary assessments of emotion: innovative opportunities in psychology science and practice. Can. Psychology/Psychologie Can., 2017, 10.1037/cap0000099.
21. Shilton, K., Sayles, S., “We Aren't all going to Be on the same page about ethics”: ethical practices and challenges in research on digital and social media. 2016 49th Hawaii International Conference on System Sciences (HICSS), 2016, 10.1109/hicss.2016.242.
22. Sinnenberg, L., Buttenheim, A.M., Padrez, K., Mancheno, C., Ungar, L., Merchant, R.M., Twitter as a tool for health research: a systematic review. Am. J. Public Health, 107, 2017, 143, 10.2105/AJPH.2016.303512a.
23. Sloan, L., Morgan, J., Who tweets with their Location? Understanding the relationship between demographic characteristics and the use of geoservices and geotagging on twitter. PLoS One, 10, 2015, e0142209, 10.1371/journal.pone.0142209.
24. Sloan, L., Morgan, J., Burnap, P., Williams, M., Who tweets? Deriving the demographic characteristics of age, occupation and social class from twitter user meta-data. PLoS One, 10, 2015, e0115545, 10.1371/journal.pone.0115545.
25. Sykora, M., A Treatise on Web 2.0 with a Case Study from the Financial Markets (PhD). 2012, Loughborough University.
26. Sykora, M.D., Jackson, T.W., OBrien, A., Elayan, S., Emotive ontology: extracting fine-grained emotions from terse, informal messages. Int. J. Comput. Sci. Inf. Syst. 8 (2013), 106–118.
27. Sykora, M., Robertson, C., Shankardass, K., Feick, R., Shaughnessy, K., Coates, B., Haydn, L., Jackson, T.W., Stresscapes: validating linkages between place and stress expression on social media. ICML 2015-2nd International Workshop on Mining Urban Data, 2015.
28. Thelwall, M., TensiStrength: stress and relaxation magnitude detection for social media texts. Inf. Process. Manag. 53 (2017), 106–121, 10.1016/j.ipm.2016.06.009.
29. Thelwall, M., Buckley, K., Paltoglou, G., Sentiment in twitter events. J. Am. Soc. Inf. Sci. Technol. 62 (2010), 406–418, 10.1002/asi.21462.
30. Ueda, M., Mori, K., Matsubayashi, T., Sawada, Y., Tweeting celebrity suicides: users’ reaction to prominent suicide deaths on Twitter and subsequent increases in actual suicides. Soc. Sci. Med., 2017, 10.1016/j.socscimed.2017.06.032.
31. Zimmer, M., Proferes, N.J., A topology of Twitter research: disciplines, methods, and ethics. Aslib J. Inf. Manag. 66 (2014), 250–261, 10.1108/ajim-09-2013-0083.