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Utilising Social Media for Intervening and Predicting Future Health in Societies

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 450))

Abstract

Background: The aims of this paper are to describe 1. systematic reviews describing the relation between social media and health and 2. previous research on utilising social media for predicting health on a population level. Method: A literature search utilising PubMed was performed in March 2014.

The inclusion criteria were that the article describes 1. the relation between social media and health or 2. the utilisation of social media in predicting health on a population level. Results: 11 systematic reviews and 4 articles were included in this review. The included articles were published between 2009–2014. There is a lack of knowledge about the relation and outcomes of social media and health. No systematic review on utilising social media to predict health on a population level was identified. Conclusions: Social media may carry crucial yet undiscovered means to predict and interfere in the health of populations. Future research, innovation and development in this area are highly recommended.

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References

  1. Kaplan, A.M., Haenlein, M.: Users of the world, unite! The challenges and opportunities of social media. Business Horizons 53, 59–68 (2010)

    Article  Google Scholar 

  2. Deuze, M.: Media Life. Media Culture and Society 33(1), 137–148 (2011)

    Article  Google Scholar 

  3. Karppi, T.: Disconnect.Me – User Engagement and Facebook, Doctoral Dissertations, Annales Universitatis Turkuensis, Ser. B Tom. 376, Humaniora, University of Turku (2014)

    Google Scholar 

  4. Hemsley, J., Mason, R.M.: Knowledge and knowledge management in the social media age. Journal of Organizational Computing and Electronic Commerce 23(1-2), 138–167 (2013)

    Article  Google Scholar 

  5. Pujazon-Zazik, M., Park, J.M.: To Tweet or Not to Tweet: Gender Differences and Potential Positive and Negative Health Outcomes of Adolescents’ Social Internet Use. American Journal of Men’s Health 4(1), 77–85 (2010)

    Google Scholar 

  6. Seidenberg, A.B., Rodgers, E.J., Rees, V.W., Connolly, G.N.: Youth access, creation, and content of smokeless tobacco (“dip”) videos in social media. Journal of Adolescent Health 50(4), 334–338 (2012)

    Article  Google Scholar 

  7. Neiger, B.L., Thackeray, R., Van Wagenen, S.A., Hanson, C.L., West, J.H., Barnes, M.D., Fagen, M.C.: Use of social media in health promotion: purposes, key performance indicators, and evaluation metrics. Health Promot. Pract. (2), 159–164 (2012)

    Google Scholar 

  8. Sourander, A., Niemelä, S., Santalahti, P., Helenius, H., Piha, J.: Changes in psychiatric problems and service use among 8-year-old children: a 16-year population-based time-trend study. Journal of the American Academy of Child and Adolescent Psychiatry 47(3), 317–327 (2008)

    Article  Google Scholar 

  9. Laaksonen, C., Aromaa, M., Heinonen, O.J., Koivusilta, L., Koski, P., Suominen, S., Vahlberg, T., Salanterä, S.: Health related quality of life in 10-year-old schoolchildren. Quality of Life Research 17, 1049–1054 (2008)

    Article  Google Scholar 

  10. Laaksonen, C., Aromaa, M., Heinonen, O.J., Koivusilta, L., Koski, P., Suominen, S., Vahlberg, T., Salanterä, S.: The change in child self-assessed and parent proxy–assessed Health Related Quality of Life (HRQL) in early adolescence (age 10–12). Scandinavian Journal of Public Health 38, 9–16 (2010)

    Article  Google Scholar 

  11. Kuss, D.J., Griffiths, M.D.: Online Social Networking and Addiction—A Review of the Psychological Literature. International Journal of Environment Research and Public Health 8(9), 3528–3552 (2011)

    Article  Google Scholar 

  12. Google.org: Flu trends, http://www.google.org/flutrends/ (cited May 21, 2014)

  13. Williams, G., Hamm, M.P., Shulhan, J., Vandermeer, B., Hartling, L.: Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials. BMJ Open 4(2), e003926 (2014)

    Google Scholar 

  14. Chang, T., Chopra, V., Zhang, C., Woolford, S.J.: The role of social media in online weight management: systematic review. J. Med. Internet Res. 15(11), e262 (2013)

    Google Scholar 

  15. Gibbons, M.C.: Personal health and consumer informatics. The impact of health oriented social media applications on health outcomes. Yearb Med. Inform. 8(1), 159–161 (2013)

    Google Scholar 

  16. Gu, H., Chen, B., Zhu, H., Jiang, T., Wang, X., Chen, L., Jiang, Z., Zheng, D., Jiang, J.: Importance of Internet surveillance in public health emergency control and prevention: evidence from a digital epidemiologic study during avian influenza A H7N9 outbreaks. J. Med. Internet Res. 17, 16(1), e20 (2014)

    Google Scholar 

  17. Keelan, J., Pavri, V., Balakrishnan, R., Wilson, K.: An analysis of the Human Papilloma Virus vaccine debate on MySpace blogs. Vaccine 28(6), 1535–1540 (2010)

    Article  Google Scholar 

  18. Cotter, A.P., Durant, N., Agne, A.A., Cherrington, A.L.: Internet interventions to support lifestyle modification for diabetes management: A systematic review of the evidence. J. Diabetes Complications 28(2), 243–251 (2014)

    Article  Google Scholar 

  19. El-Gayar, O., Timsina, P., Nawar, N., Eid, W.: Mobile applications for diabetes self-management: status and potential. J. Diabetes Sci. Technol. 7(1), 247–262 (2013)

    Article  Google Scholar 

  20. Jones, E., Sinclair, J.M., Holt, R.I., Barnard, K.D.: Social networking and understanding alcohol-associated risk for people with type 1 diabetes: friend or foe? Diabetes Technol. Ther. 15(4), 308–314 (2013)

    Article  Google Scholar 

  21. Chomutare, T., Fernandez-Luque, L., Arsand, E., Hartvigsen, G.: Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J. Med. Internet Res. 13(3), e65 (2011)

    Google Scholar 

  22. Montague, E., Perchonok, J.: Health and wellness technology use by historically underserved health consumers: systematic review. J. Med. Internet Res. 14(3), e78 (2012)

    Google Scholar 

  23. Chou, W.Y., Prestin, A., Lyons, C., Wen, K.Y.: Web 2.0 for health promotion: reviewing the current evidence. Am. J. Public Health 103(1), e9–e18 (2013)

    Google Scholar 

  24. Denecke, K., Krieck, M., Otrusina, L., Smrz, P., Dolog, P., Nejdl, W., Velasco, E.: How to exploit twitter for public health monitoring? Methods Inf. Med. 52(4), 326–339 (2013)

    Article  Google Scholar 

  25. Won, H.H., Myung, W., Song, G.Y., Lee, W.H., Kim, J.W., Carroll, B.J., Kim, D.K.: Predicting national suicide numbers with social media data. PLoS One 8(4), e61809 (2013)

    Google Scholar 

  26. Salathé, M., Khandelwal, S.: Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput. Biol. 7(10), e1002199 (2011)

    Google Scholar 

  27. Eysenbach, G.: Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J. Med. Internet Res. 27, 11(1), e11 (2009)

    Google Scholar 

  28. Liu, B.: Sentiment Analysis and Subjectivity. In: Indurkhya, N., Damerau, F.J. (eds.) Handbook of Natural Language Processing. Chapman & Hall/CRC Press, Boca Raton, Florida (2010)

    Google Scholar 

  29. Thelwall, M., Buckley, K.: Topic-Based Sentiment Analysis for the Social Web: The Role of Mood and Issue-Related Words. Journal of the American Society for Information Society and Technology 64(8), 1608–1617 (2013)

    Google Scholar 

  30. Pang, B., Lillian, L.: Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval 1-2(2), 1–135 (2008)

    Google Scholar 

  31. Carbonell, J.: Subjective Understanding: Computer Models of Belief Systems. PhD thesis, Yale (1979)

    Google Scholar 

  32. Wilks, Y., Bien, J.: Beliefs, points of view and multiple environments. In: Proceedings of the International NATO Symposium on Artificial and Human Intelligence, pp. 147–171. Elsevier North-Holland, Inc., USA (1984)

    Google Scholar 

  33. Das, S., Chen, M.: Yahoo! for Amazon: Extracting market sentiment from stock message boards. In: Proceedings of the Asia Pacific Finance Association Annual Conference, APFA (2001)

    Google Scholar 

  34. Tateishi, K., Ishiguro, Y., Fukushima, T.: Opinion information retrieval from the internet. Information Processing Society of Japan (IPSJ) SIG Notes 69(7), 75–82 (2001) (in Japanese) (Also cited as “A reputation search engine that gathers people’s opinions from the Internet”, IPSJ Technical Report NL-14411)

    Google Scholar 

  35. Tong, R.M.: An operational system for detecting and tracking opinions in on-line discussion. In: The Proceedings of the Workshop on Operational Text Classification, OTC (2001)

    Google Scholar 

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Laaksonen, C., Jalonen, H., Paavola, J. (2014). Utilising Social Media for Intervening and Predicting Future Health in Societies. In: Saranto, K., Castrén, M., Kuusela, T., Hyrynsalmi, S., Ojala, S. (eds) Safe and Secure Cities. WIS 2014. Communications in Computer and Information Science, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-10211-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-10211-5_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10210-8

  • Online ISBN: 978-3-319-10211-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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