Research opportunities at the intersection of social media and survey data

Current Opinion in Psychology

Volumn 9, Issue , 2016, Pages 67-71

  Spiro, Emma S ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84952881395     PISSN: 2352250X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.copsyc.2015.10.023     Document Type: Review

References (53)

1. Lazer D., Pentland A., Adamic L.A., Aral S., Barabási A.-L., Brewer D., Christakis N., Contractor N., Fowler J., Gutmann M., Jebara T., King G., Macy M.W., Roy D., Van Alstyne M. Computational social science. Science 2009, 323:721-723.
2. Salganik M.J., Watts J. Web-based experiments for the study of collective social dynamics in cultural markets. Topics Cogn Sci 2009, 1:439-468.
3. Golder S.A., Macy M.W. Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures. Science 2011, 333:1878-1881.
4. Aral S. Poked to vote. Nature 2012, 489:8-10.
5. Monroy-Hernández A., Boyd D., Kiciman E., Counts S.t Narcotweets: social media in wartime. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media Narcotweets 2012, 515-518.
6. Spiro E.S., Sutton J., Greczek M., Fitzhugh S., Pierski N., Butts C.T. Rumoring During extreme events: a case study of deepwater horizon 2010. Proceedings of the 3rd Annual ACM Web Science Conference 2012, 275-283. ACM.
7. Golder S.A., Macy M.W. Digital footprints: opportunities and challenges for online social research. Ann Rev Sociol 2014, 40:129-152.
8. Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. Understanding quantified-selfer' practices in collecting and exploring personal data. CHI 2014, ACM, Toronto, Ontario, Canada.
9. Centola D. Social media and the science of health behavior. Circulation 2013, 127:2135-2144.
10. Teodoro R., Naaman M. Fitter with Twitter: understanding personal health and fitness activity in social media. ICWSM 2013, 611-620. AAAI.
11. Fowler J., Christakis N. Quitting in droves: collective dynamics of smoking behavior in a large social network. N Engl J Med 2010, 358:2249-2258.
12. De Choudhury M., Counts S., Horvitz E. Social media as a measurement tool of depression in populations. WebScience 2013.
13. De Choudhury M., Gamon M., Counts S., Horvitz E. Predicting depression via social media. ICWSM, vol 2 2013, 128-137. AAAI.
14. Heber West J. Temporal variability of problem drinking on Twitter. Open J Prev Med 2012, 2:43-48.
15. De Choudhury M., Counts S., Horvitz E. Major life changes and behavioral markers in social media: case of childbirth. CSCW 2013, ACM, San Antonio, Texas.
16. Thompson L., Rivara F.P., Whitehill J.M. Prevalence of marijuana-related traffic on Twitter, 2012-2013: a content analysis. Cyberpsychol Behav Soc Netw 2015, 18:311-319.
17. Sylvia Chou W.-y., Hunt Y.M., Burke B.E., Moser R.P., Hesse B.W. Social media use in the United States: implications for health communication. J Med Internet Res 2009, 11:e48.
18. Scanfeld D., Scanfeld V., Larson E.L. Dissemination of health information through social networks: Twitter and antibiotics. Am J Infect Control 2010, 38:182-188.
19. Salathé M., Khandelwal S. Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput Biol 2011, 7.
20. Krieck M., Dreesman J., Otrusina L., Denecke K. A new age of public health: Identifying disease outbreaks by analyzing tweets. Proceedings of Health Web-Science Workshop, ACM Web Science Conference 2011.
21. Paul M.J., Dredze M. You are what you Tweet: analyzing Twitter for public health. ICWSM 2011, 265-272. AAAI.
22. Lazard A.J., Scheinfeld E., Bernhardt J.M., Wilcox G.B., Suran M. Detecting themes of public concern: a text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat. Am J Infect Control 2015, 1-3.
23. Fox S. The Social Life of Health Information, 2011. Technical Report 2011, Pew Research Center, Washington DC.
24. Hawn C. Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care. Health Aff 2009, 28:361-368.
25. Korda H., Itani Z. Harnessing social media for health promotion and behavior change. Health Prom Pract 2011, 14:15-23.
26. Sadilek A., Kautz H. Modeling the impact of lifestyle on health at scale. WSDM 2013, 637-646. ACM.
27. Centola D., van de Rijt A. Choosing your network: social preferences in an online health community. Soc Sci Med 2015, 125:19-31.
28. Murthy D. Twitter: microphone for the masses?. Media Cult Soc 2011, 33:779-789.
29. Liu Y., Kliman-Silver C., Mislove A. The Tweets They are A-Changin: evolution of twitter users and behavior. ICWSM 2014, 30:5-314.
30. Boyd D., Golder S.A., Lotan G. Tweet, tweet, retweet: conversational aspects of retweeting on twitter. HICSS-43 2010, 1-10. IEEE.
31. Grinberg N., Naaman M., Shaw Blake, Lotan G. Extracting diurnal patterns of real world activity from social media. Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media 2013, 205-214. AAAI.
32. Duggan M., Ellison N.B., Lampe C., Lenhart A., Madden M. Social Media Update 2014 2015.
33. Duggan M., Brenner J. The Demographics of Social Media Users-2012. Technical Report 2013, Pew Research Center.
34. Kiciman E. OMG, I Have to Tweet That! A study of factors that influence tweet rates. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media OMG 2012, 170-177. AAAI (Ed.).
35. Humphreys L., Gill P., Krishnamurthy B. Twitter: a content analysis of personal information. Inform Commun Soc 2013, 1-15.
36. Mislove A., Lehmann S., Ahn Y.-y., Onnela J.-p., Niels Rosenquist J. Understanding the demographics of Twitter users. ICWSM 2012, 554-557.
37. 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 2015, 10:e0115545.
38. Cavazos-Rehg P.A., Krauss M.J., Sowles S.J., Bierut L.J. "Hey Everyone, I'm Drunk." An evaluation of drinking-related Twitter chatter. J Stud Alcohol Drugs 2014, 76:635-639.
39. Cavazos-Rehg P.A., Krauss M., Fisher S.L., Salyer P., Grucza R.a., Jean Bierut L. Twitter chatter about marijuana. J Adolesc Health 2015, 56:139-145.
40. Tufekci Z. Big questions for social media big data: representativeness, validity and other methodological pitfalls. ICWSM 2014, 10.
41. Sudman S., Bradburn N.M. Asking questions: a practical guide to questionnaire design 1982.
42. Ramo D.E., Prochaska J.J. Broad reach and targeted recruitment using Facebook for an online survey of young adult substance use. J Med Internet Res 2012, 14:e28.
43. Fenner Y., Garland S.M., Moore E.E., Jayasinghe Y., Fletcher A., Tabrizi S.N., Gunasekaran B., Wark J.D. Web-based recruiting for health research using a social networking site: an exploratory study. J Med Internet Res 2012, 14:e20.
44. Moreno M.A., Christakis D.A., Egan K.G., Brockman L.N., Becker T. Associations between displayed alcohol references on Facebook and problem drinking among college students. Arch Pediatr Adolesc Med 2012, 166:157-163.
45. McCormick T., Lee H., Cesare N., Shojaie A., Spiro E. Using Twitter for demographic and social science research: tools for data collection and processing. Sociol Methods Res 2015, 1-7.
46. De Choudhury M., Counts S., Horvitz E. Predicting postpartum changes in emotion and behavior via social media. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems-CHI'13 2013, 3267.
47. Williams J.A., Spiro E.S. Tweeting the Japanese general election of 2014-a first look. Workshop on Voting, Elections and Electoral Systems 2015, 1-19. University of Washington, Seattle, WA.
48. Burgess J., Bruns A. Twitter archives and the challenges of "big social data" for media and communication research. M/C J 2014, 15:1-5.
49. Boyd D., Crawford K. Six provocations for big data. A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society 2011, 1-17.
50. Cesare N., Lee H., McCormick T., Spiro Self-presentation and information disclosure on twitter: understanding patterns along demographic lines. Population Association of America Annual Meeting 2015, 1-19. University of Washington, San Diego, CA.
51. Yardi S., Boyd D. Dynamic debates: an analysis of group polarization over time on Twitter. Bull Sci Technol Soc September 2010, 30:316-327.
52. Hochman N., Manovich L. Zooming into an instagram city: reading the local through social media. First Monday 2013, 18.
53. Syed-Abdul S., Fernandez-Luque L., Jian W.-S., Li Y.-C., Crain S., Hsu M.-H., Wang Y.-C., Khandregzen D., Chuluunbaatar E., Anh Nguyen P., et al. Misleading health-related information promoted through video-based social media: anorexia on youtube. J Med Internet Res 2013, 15:e30.