Skip to main content

Exploring Social Influence and Incremental Online Persuasion on Twitter: A Longitudinal Study

  • Conference paper
Mobile Web Information Systems (MobiWIS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8640))

Included in the following conference series:

Abstract

This paper outlines the second phase of an ongoing longitudinal research initiative aimed at exploring and describing why people use Twitter the way they do and what factors change their behaviors and attitudes over time. In a repeated online survey, 501 valid responses were collected from Twitter users. A comparative analysis of findings from both surveys verified persistent online persuasion patterns influencing both user behavior related to content generation and tweeting frequency, as well as user attitudes about Twitter being an influential tool to use in calling for action outside the virtual world. A comprehensive analysis of responses from 49 individuals who had participated in both surveys revealed underlying factors that had prompted changes in what they thought about Twitter, as well as their use behaviors. Further findings emphasized the role of social influence design principles and their capacity to explain changes that Twitter users had experienced over the period of two years.

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

Access this chapter

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 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Achananuparp, P., Lim, E.P., Jiang, J., Hoang, T.A.: Who is Retweeting the Tweeters? Modeling, Originating, and Promoting Behaviors in the Twitter Network. ACM Transactions on Management Information Systems (TMIS) 3(3), 13 (2012)

    Google Scholar 

  2. Aral, S., Dellarocas, C., Godes, D.: Introduction to the Special Issue—Social Media and Business Transformation: A Framework for Research. Information Systems Research 24(1), 3–13 (2013)

    Article  Google Scholar 

  3. Aral, S., Walker, D.: Creating Social Contagion through Viral Product Design: A Randomized Trial of Peer Influence in Networks. Management Science 57(9), 1623–1639 (2011)

    Article  Google Scholar 

  4. Barnes, S.J., Böhringer, M.: Modeling Use Continuance Behavior in Microblogging Services: The Case of Twitter. Journal of Computer Information Systems 51(4), 1 (2011)

    Google Scholar 

  5. Bjørn-Andersen, N., Hansen, R.: The Adoption of Web 2.0 by Luxury Fashion Brands. In: Proceedings of CONFIRM, Paper 34 (2011)

    Google Scholar 

  6. Boyd, D., Golder, S., Lotan, G.: Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. In: Proceedings of the 43rd Hawaii International Conference on System Sciences, Koloa, HI, USA (2010)

    Google Scholar 

  7. Chatfield, A.T., Brajawidagda, U.: Twitter Tsunami Early Warning Network: A Social Network Analysis of Twitter Information Flows. In: Proceedings of the 23rd Australasian Conference on Information Systems, Geelong, Victoria, Australia, pp. 1–10 (2012)

    Google Scholar 

  8. Chen, S.C., Yen, D.C., Hwang, M.I.: Factors Influencing the Continuance Intention to the Usage of Web 2.0: An Empirical Study. Computers in Human Behavior 28(3), 933–941 (2012)

    Article  Google Scholar 

  9. Cialdini, R.B., Kallgren, C.A., Reno, R.R.: A Focus Theory of Normative Conduct: A Theoretical Refinement and Reevaluation of the Role of Norms in Human Behavior. In: Zanna, M.P. (ed.) Advances in Experimental Social Psychology (24), pp. 201–234. Academic Press, New York (1991)

    Google Scholar 

  10. Culnan, M.J., McHugh, P.J., Zubillaga, J.I.: How Large US Companies Can Use Twitter and Other Social Media to Gain Business Value. MIS Quarterly Executive 9(4), 243–259 (2010)

    Google Scholar 

  11. Dou, Y., Niculescu, M., Wu, D.J.: Engineering Optimal Network Effects Via Social Media Features and Seeding in Markets for Digital Goods and Services. Inform. Systems Res. 24(1), 164–185 (2013)

    Article  Google Scholar 

  12. Fang, X., Hu, P.J.H., Li, Z.L., Tsai, W.: Predicting Adoption Probabilities in Social Networks. Information Systems Research 24(1), 128–145 (2013)

    Article  Google Scholar 

  13. Festinger, L.: A Theory of Social Comparison Processes. Human Relations 7(2), 117–140 (1954)

    Article  Google Scholar 

  14. Fosso Wamba, S., Carter, L.: Twitter Adoption and Use by SMEs: An Empirical Study. In: The 46 Hawaii International Conferences on System Sciences (HICSS), Maui, Hawaii, USA (2013)

    Google Scholar 

  15. Honeycutt, C., Herring, S.C.: Beyond Microblogging: Conversation and Collaboration Via Twitter. In: Proceedings of the 43rd Hawaii International Conference on System Sciences, Koloa, HI, USA (2010)

    Google Scholar 

  16. Huberman, B.A., Romero, D.M., Wu, F.: Social Networks that Matter: Twitter under the Microscope. First Monday 14(1) (2009), http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2317/2063 (retrieved on April 12, 2013)

  17. Junco, R., Elavsky, C.M., Heiberger, G.: Putting Twitter to the Test: Assessing Outcomes for Student Collaboration, Engagement and Success. British Journal of Educational Technology (2012)

    Google Scholar 

  18. Krishnamurthy, B., Gill, P., Arlitt, M.: A Few Chirps about Twitter. In: Proceedings of the First Workshop on Online Social Networks, Seattle, WA, USA, pp. 19–24 (2008)

    Google Scholar 

  19. Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a Social Network or a News Media? In: Proceedings of the 19th World-Wide Web (WWW) Conference, Raleigh, NC, USA, April 26-30 (2010)

    Google Scholar 

  20. Malone, T.W., Lepper, M.: Making Learning Fun: A Taxonomy of Intrinsic Motivations for Learning. In: Snow, R.E., Farr, M.J. (eds.) Aptitude, Learning and Instruction: III. Conative and Affective Process Analyses, pp. 223–253. Erlbaum, Hillsdale (1987)

    Google Scholar 

  21. Miller, A.R., Tucker, C.: Active Social Media Management: The Case of Health Care. Information Systems Research 24(1), 52–70 (2013)

    Article  Google Scholar 

  22. Oh, O., Tahmasbi, N., Rao, H.R., Vreede, G.D.: A Sociotechnical View of Information Diffusion and Social Changes: From Reprint to Retweet. In: Joey, F.G. (ed.) Proceedings of the 33th International Conference on Information Systems, Orlando, FL, USA (2012)

    Google Scholar 

  23. Ou, C.X., Davison, R.M., Cheng, N.C.: Why Are Social Networking Applications Successful: An Empirical Study of Twitter. In: Proceedings of the 15th Pacific Asia Conference on Information Systems (PACIS) (2011)

    Google Scholar 

  24. Pervin, N., Fang, F., Datta, A., Dutta, K., Vandermeer, D.: Fast, Scalable, and Context-Sensitive Detection of Trending Topics in Microblog Post Streams. ACM Transactions on Management Information Systems (TMIS) 3(4), 19 (2013)

    Google Scholar 

  25. Stibe, A., Oinas-Kukkonen, H.: Using Social Influence for Motivating Customers to Generate and Share Feedback. In: Spagnolli, A., Chittaro, L., Gamberini, L. (eds.) PERSUASIVE 2014. LNCS, vol. 8462, pp. 224–235. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  26. Stibe, A., Oinas-Kukkonen, H., Bērziņa, I., Pahnila, S.: Incremental Persuasion Through Microblogging: A Survey of Twitter Users in Latvia. In: Proceedings of the 6th International Conference on Persuasive Technology: Persuasive Technology and Design: Enhancing Sustainability and Health, p. 8. ACM (2011)

    Google Scholar 

  27. Vatrapu, R.: Understanding Social Business. In: Emerging Dimensions of Technology Management, pp. 147–158. Springer India (2013)

    Google Scholar 

  28. Wirtz, B.W., Piehler, R., Ullrich, S.: Determinants of Social Media Website Attractiveness. Journal of Electronic Commerce Research 14(1) (2013)

    Google Scholar 

  29. Young, M.M.: Twitter Me: Using Micro-blogging to Motivate Teenagers to Exercise. In: Winter, R., Zhao, J.L., Aier, S. (eds.) DESRIST 2010. LNCS, vol. 6105, pp. 439–448. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  30. Zajonc, R.B.: Social Facilitation. Science 149, 269–274 (1965)

    Article  Google Scholar 

  31. Zeng, X., Wei, L.: Social Ties and User Content Generation: Evidence from Flickr. Inform. Systems Res. 24(1), 71–87 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Stibe, A. (2014). Exploring Social Influence and Incremental Online Persuasion on Twitter: A Longitudinal Study. In: Awan, I., Younas, M., Franch, X., Quer, C. (eds) Mobile Web Information Systems. MobiWIS 2014. Lecture Notes in Computer Science, vol 8640. Springer, Cham. https://doi.org/10.1007/978-3-319-10359-4_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-10359-4_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10358-7

  • Online ISBN: 978-3-319-10359-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics