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Empirical Analysis of Social Support Provided via Social Media

  • Lenin Medeiros
  • Tibor Bosse
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10047)

Abstract

Social media are an effective means for people to share everyday problems with their peers. Although this often leads to empathic responses which help alleviate the experienced stress, such peer support is not always available. As an alternative solution for such situations, this paper explores the possibilities to develop an ‘artificial friend’ that offers online social support through text messages. To formulate the requirements for such a system, a pilot study was performed in which 230 participants were asked (via a crowdsourcing platform) to report their experiences regarding online peer support. The results have been converted into a number of working hypotheses about online peer support. Based on these hypotheses, a conceptual framework has been developed that describes the functioning of the proposed support system.

Keywords

Social media Everyday stress Empirical analysis Social support Support agent 

Notes

Acknowledgements

The authors would like to state that Lenin Medeiros’ stay at Vrije Universtiteit Amsterdam was funded by the Brazilian Science without Borders program. This work was realized with the support from CNPq, National Council for Scientific and Technological Development - Brazil, through a scholarship which reference number is 235134/2014-7. We also would like to thank all the people who gave us important data by answering our questionnaire.

References

  1. 1.
    Burks, N., Martin, B.: Everyday problems and life change events: Ongoing versus acute sources of stress. J. Hum. Stress 11(1), 27–35 (1985)CrossRefGoogle Scholar
  2. 2.
    Cobb, S.: Social support as a moderator of life stress. Psychosom. Med. 38(5), 300–314 (1976)CrossRefGoogle Scholar
  3. 3.
    Wills, A.: Stress, social support, and the buffering hypothesis. Psychol. Bull. 98(2), 310 (1985)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Dennis, M., Kindness, P., Masthoff, J., Mellish, C., Smith, K.A.: Towards effective emotional support for community first responders experiencing stress. In: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013, Geneva, Switzerland, September 2–5, 2013, pp. 763–768 (2013)Google Scholar
  5. 5.
    DeVault, D., Artstein, R., Benn, G., Teresa Dey, E., Fast, A.G., Georgila, K., Gratch, J., Hartholt, A., Lhommet, M., Simsensei kiosk, et al.: A virtual human interviewer for healthcare decision support. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, pp. 1061–1068. International Foundation for Autonomous Agents and Multiagent Systems (2014)Google Scholar
  6. 6.
    Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., Stern, A.: Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions. BMJ 328, 1166–1170 (2004)Google Scholar
  7. 7.
    Gockley, R., Bruce, A., Forlizzi, J., Michalowski, M., Mundell, A., Rosenthal, S., Sellner, B., Simmons, R., Snipes, K., Schultz, A.C., et al.: Designing robots for long-term social interaction. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1338–1343. IEEE (2005)Google Scholar
  8. 8.
    Gross, J.J.: Gross. Emotion regulation: Affective, cognitive, and social consequences. Psychophysiology 39(3), 281–291 (2002)CrossRefGoogle Scholar
  9. 9.
    Gross, J.J., Thompson, R.A.: Emotion regulation: Conceptual foundations (2007)Google Scholar
  10. 10.
    Heaney, C.A., Israel, B.A.: Social networks, social support. Health Behav. Health Educ. Theor. Res. Pract. 4, 189–210 (2008)Google Scholar
  11. 11.
    Kim, H.S., Sherman, D.K., Taylor, S.E.: Culture and social support. Am. Psychol. 63(6), 518 (2008)CrossRefGoogle Scholar
  12. 12.
    Leite, I., Pereira, A., Mascarenhas, S., Martinho, C., Prada, R., Paiva, A.: The influence of empathy in human-robot relations. Int. J. Hum. Comput. Stud. 71(3), 250–260 (2013)CrossRefGoogle Scholar
  13. 13.
    Liu, B.: Sentiment Analysis - Mining Opinions, Sentiments, and Emotions. Cambridge University Press, New York (2015)CrossRefGoogle Scholar
  14. 14.
    O’Dea, B., Campbell, A.: Healthy connections: Online social networks and their potential for peer support. In: Health Informatics: The Transformative Power of Innovation - Selected Papers from the 19th Australian National Health Informatics Conference, HIC 2011, 1–4, Brisbane, Australia, pp. 133–140. IOS Press, August 2011Google Scholar
  15. 15.
    Young, L.: Uses and gratifications of social media: A comparison of facebook and instant messaging. Bull. Sci. Technol. Soci. 30(5), 350–361 (2010)CrossRefGoogle Scholar
  16. 16.
    Takahashi, Y., Uchida, C., Miyaki, K., Sakai, M., Shimbo, T., Nakayama, T.: Potential benefits, harms of a peer support social network service on the internet for people with depressive tendencies: Qualitative content analysis and social network analysis. J. Med. Int. Res., 11(3), 2009Google Scholar
  17. 17.
    Breda, W., Treur, J., van Wissen, A.: Analysis and support of lifestyle via emotions using social media. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Guéret, C. (eds.) SocInfo 2012. LNCS, vol. 7710, pp. 275–291. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-35386-4_21 CrossRefGoogle Scholar
  18. 18.
    van der Zwaan, J.M., Dignum, V., Jonker, C.M.: A conversation model enabling intelligent agents to give emotional support. In: Ding, W., Jiang, H., Ali, M., Li, M. (eds.) Modern Advances in Intelligent Systems and Tools. SCI, pp. 47–52. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-30732-4_6 CrossRefGoogle Scholar
  19. 19.
    Williams, M.: Building genuine trust through interpersonal emotion management: A threat regulation model of trust and collaboration across boundaries. Acad. Manage. Rev. 32(2), 595–621 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Behavioural Informatics GroupVrije Universiteit AmsterdamAmsterdamThe Netherlands

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