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Dribbble: Exploring the Concept of Viral Events on an Art World Social Network Site

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10766))

Abstract

While virality is a much-studied topic on popular social media sites, it has been rarely explored on sites like Dribbble, a social networking site for artists and designers. Using a mixed-method approach, we explore virality from a user-centric perspective. Interviews with informants confirm that viral-like events do exist on Dribbble, though what spreads are stylistic choices. While what spreads is different than on other platforms, our work suggests that the mechanics that drive these events are similar, suggesting an underlying social phenomenon that is reflected in different ways on different platforms. Our results are supported by regression modeling using variables identified by our informants. Our work contributes to social media studies since smaller sites like Dribbble are rarely studied, particularly using mixed methods approaches, as well as to the body of research around information diffusion and viral events.

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References

  1. Becker, H.S.: Art Worlds. University of California Press, Berkeley; London (2008)

    Google Scholar 

  2. Burgess, J., Green, J.: YouTube: Online Video and Participatory Culture. Polity, Cambridge (2009)

    Google Scholar 

  3. Creswell, J.W.: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications, Thousand Oaks (2013)

    Google Scholar 

  4. Faraway, J.J.: Linear Models with R. Chapman and Hall/CRC, London (2004)

    MATH  Google Scholar 

  5. Hemsley, J.: Studying the viral growth of a connective action network using information event signatures. First Monday 21(8) (2016). http://dx.doi.org/10.5210/fm.v21i8

  6. Kim, N.W.: Creative Community Demystified: A Statistical Overview of Behance. arXiv preprint arXiv:1703.00800 (2017)

  7. Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a social network or a news media? p. 591 (2010). https://doi.org/10.1145/1772690.1772751

  8. Lee, J., Ahn, J.-W., Oh, J.S., Ryu, H.: Mysterious influential users in political communication on Twitter: users’ occupation information and its impact on retweetability. In: iConference 2015 Proceedings (2015). https://www.ideals.illinois.edu/handle/2142/73456. Accessed 29 Sept 2015

  9. Nahon, K., Hemsley, J.: Going Viral. Polity Press Cambridge, Cambridge (2013)

    Google Scholar 

  10. Nahon, K., Hemsley, J., Walker, S., Hussain, M.: Fifteen minutes of fame: the power of blogs in the lifecycle of viral political information. Policy Internet 3(1), 6–33 (2011). https://doi.org/10.2202/1944-2866.1108

    Article  Google Scholar 

  11. Salah, A.A., Salah, A.A.: Flow of innovation in deviantArt: following artists on an online social network site. Mind Soc. 12(1), 137–149 (2013). https://doi.org/10.1007/s11299-013-0113-9

    Article  Google Scholar 

  12. Salah, A.A., Salah, A.A., Buter, B., Dijkshoorn, N., Modolo, D., Nguyen, Q., van Noort, S., van de Poel, B.: DeviantArt in spotlight: a network of artists. Leonardo 45(5), 486–487 (2012). https://doi.org/10.1162/LEON_a_00454

    Article  Google Scholar 

  13. Suh, B., Hong, L., Pirolli, P., Chi, E.H.: Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network. In: 2010 IEEE Second International Conference on Social Computing (SocialCom), pp. 177–184 (2010)

    Google Scholar 

  14. Uysal, I., Croft, W.B.: User oriented tweet ranking: a filtering approach to microblogs. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 2261–2264 (2011)

    Google Scholar 

  15. Wachs, J., Hannák, A., Vörös, A., Daróczy, B.: Why do men get more attention? Exploring factors behind success in an online design community. arXiv preprint arXiv:1705.02972 (2017)

  16. Yang, Z., Guo, J., Cai, K., Tang, J., Li, J., Zhang, L., Su, Z.: Understanding retweeting behaviors in social networks, p. 1633 (2010). https://doi.org/10.1145/1871437.1871691

  17. Zaman, T.R., Herbrich, R., Van Gael, J., Stern, D.: Predicting information spreading in Twitter, pp. 17599–17601 (2010)

    Google Scholar 

  18. Baby Names from Social Security Card Applications-National Level Data (2016). data.gov. https://catalog.data.gov/dataset/baby-names-from-social-security-card-applications-national-level-dat

  19. Dribbble - Show and Tell for Designers. https://dribbble.com/stories/2017/08/24/shot-block-purple-reign. Accessed 11 Sept 2017

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Correspondence to Jeff Hemsley .

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Hemsley, J., Tanupabrungsun, S. (2018). Dribbble: Exploring the Concept of Viral Events on an Art World Social Network Site. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-78105-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78104-4

  • Online ISBN: 978-3-319-78105-1

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