Skip to main content

Identifying Persuasive Qualities of Decentralized Peer-to-Peer Online Social Networks in Public Health

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7822))

Abstract

Online social networks as behavior change support systems have been rapidly gaining in popularity. These networks have been studied by public health specialists from the point of view of traditional behavior change theories. However, scant research exists on the persuasive content of the messages exchanged between participants in such networks. In this paper, we use Persuasive Systems Design (PSD) model to develop a framework for identifying persuasive attributes in online social networks. This framework was applied to QuitNet, an online social network for smoking cessation. Results indicated that the communication in QuitNet had persuasive qualities such as reduction, simulation, social learning, reminders, suggestions, and rewards. Further, these features were predominantly found in messages related to “QuitNet-specific customs”, “Quit progress”, and “Family and friends”. Use of this framework enables the development of quantitative relationships between persuasive attributes and behavior change outcomes experienced by network members.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. World Health Organization: WHO report on the global tobacco epidemic, 2011: Warning about the dangers of tobacco. Geneva, Switzerland (2011)

    Google Scholar 

  2. Cobb, N.K., Graham, A.L., Byron, M.J., et al.: Online social networks and smoking cessation: a scientific research agenda. J. Med. Internet Res. 13(4) (2011)

    Google Scholar 

  3. Centola, D.: The spread of behavior in an online social network experiment. Science 329(5996), 1194–1197 (2010)

    Article  Google Scholar 

  4. Chuang, K.Y., Yang, C.C.: A Study of Informational Support Exchanges in MedHelp Alcoholism Community. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds.) SBP 2012. LNCS, vol. 7227, pp. 9–17. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  5. Reiter, E., Robertson, R., Osman, L.M.: Lessons from a failure: Generating tailored smoking cessation letters. Artificial Intelligence 144(1), 41–58 (2003)

    Article  Google Scholar 

  6. Prochaska, J.O., Velicer, W.F.: The Transtheoretical Model of Health Behavior Change. American Journal of Health Promotion 12(1), 38–48 (1997)

    Article  Google Scholar 

  7. Bandura, A.: Social cognitive theory. Encyclopedia of Psychology 7, 329–332 (2000)

    Google Scholar 

  8. Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Communications of the AIS 24, 28 (2009)

    Google Scholar 

  9. Cobb, N.K., Graham, A.L., Bock, B.C., et al.: Initial evaluation of a real-world Internet smoking cessation system. Nicotine Tob. Res. 7(2), 207–216 (2005)

    Article  Google Scholar 

  10. Strauss, A., Corbin, J.: Basics of Qualitative Research: Grounded Theory Procedure and Techniques. Sage, Newbury Park (1990)

    Google Scholar 

  11. Heaney, C.A., Israel, B.A.: Social networks and social support. Health Behavior and Health Education: Theory, Research, and Practice 3, 185–209 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Myneni, S., Iyengar, S., Cobb, N.K., Cohen, T. (2013). Identifying Persuasive Qualities of Decentralized Peer-to-Peer Online Social Networks in Public Health. In: Berkovsky, S., Freyne, J. (eds) Persuasive Technology. PERSUASIVE 2013. Lecture Notes in Computer Science, vol 7822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37157-8_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37157-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37156-1

  • Online ISBN: 978-3-642-37157-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics