Abstract
The “Sunflower Movement,” which sprouted in the March of 2014, was viewed as the best evidence to show how students spread information and get organized through Facebook. Compared with studies concerning relationships between Facebook and political-social life, this study focuses on influence of a group of fan pages serving a social movement. We propose a data-driven approach based on the analysis of digital footprints; visualization tools applied in this study are constructed based on the “ABC model” and evolved along with the need of analysis. Through fans’ action characteristics we can construct the role played by each fan page. It is found that most fans only visit once and leave a sole footprint. The active 20% of users either compact their engagement in a short period or construct their involvement during a rather long period.
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References
Backstrom, L. (2011, November 22). Anatomy of Facebook. Palo Alto, CA: Facebook. Retrieved August 8, 2016, from https://www.Facebook.com/notes/Facebook-data-team/anatomy-of-Facebook/10150388519243859
Bazarova, N. N., & Choi, Y. H. (2014). Self-disclosure in social media: Extending the functional approach to disclosure motivations and characteristics on social network sites. Journal of Communication, 64, 635–657.
Berry, D. M. (2011). Thecomputational turn: Thinking about the digital humanities. Cultural Machine, 12. Retrieved August 8, 2016, from https://www.culturemachine.net/index.php/cm/article/download/440/470
Binder, J., Howes, A., & Sutcliffe, A. (2009). The problem of conflicting social spheres: Effects of network structure on experience tension in social network sites. In Proceedings of the 27th International Conference on human factors in computing systems (pp. 965–974). New York, NY: ACM.
Briones, R. L., Kuch, B., Liu, B. F., & Jin, Y. (2011). Keeping up with the digital age: How American Red Cross uses social media to build relationships. Public Relations Review, 37, 37–43.
Burgess, J., & Bruns, A. (2012). (not) the twitter election: The dynamics of the #ausvotesConversation in relation to the Australian media ecology. Journalism Practice, 6(3), 384–402.
Cheng, Y., & Chen, P. (2014). Global social media, local context: A case study of Chinese-language tweets about the 2012 presidential election in Taiwan. AJIM, 66(3), 342–356.
Cheng, Y.-C., & Chen, P.-L. (2016). Online real-time civic engagement in a networked movement: A case study of Taiwan’s 318 movement. Journal of Communication Research and Practice, 6(1), 117–150.
Coursaris, C. K., Van Osch, W., & Balogh, B. A. (2013). A social media marketing typology: Classifying brand Facebook page messages for strategic consumer engagement. ECIS 2013 Proceedings, AIS Electronic Library.
Cvijikj, I., Spiegler, E., & Michahelles, F. (2011). The effect of post type, category and posting day on user interaction level on Facebook. In 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust Abd 2011 IEEE Third International Conference on Social Computing (pp. 810–813). Los Alamitos, CA: CPS.
Del Vicario , M., Zhang, Q., Bessi, A., Zollo, F., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2015). Structural patterns of the occupy movement on Facebook. arXiv Preprint arXiv, 1501.07203.
Edunov, S., Diuk, C., Filiz, I. O., Bhagat, S., & Burke, M. (2016, February 04). Three and a half degrees of seperation. Research at Facebook. Retrieved August 8, 2016, from https://research.Facebook.com/blog/three-and-a-half-degrees-of-separation/
Ellison, N., Heino, R., & Gibbs, J. (2006). Managing impressions online: Self-presentation processes in the online dating environment. Journal of Computer Mediated Communication, 11(2), 415–441.
Ellison, N., Heino, R., and J. Gibbs. (2006). Managing Impressions Online: Self-Presentation Processes in the Online Dating Environment. In Journal of Computer Mediated Communication, 11(2), 415–441.
Gosling, S. D., Gaddis, S., & Vazire, S. (2007). Personality impressions based on Facebook profiles. ICWSM’2007. Retrieved June 27, 2016, from http://icwsm.org/papers/3--Gosling-Gaddis-Vazire.pdf
Granovetter, M. S. (1974). Getting a job: A study of contacts and careers. Cambridge, MS: Havard University Press.
Granovetter, M. S. (1983). The strength of weak ties: A network theory revisited. Sociological Theory, 1, 201–233.
Joinson, A. N. (2008). Looking at, looking up or keeping up with people? Motives and use of Facebook. In Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems (pp. 1027–1036). New York, NY: ACM.
Kosinski, J., von Appen, A., Ori, A., Karius, K., MÜller, C. W., & Beck, M. (2015). Xlink Analyzer: Software for analysis and visualization of cross-linking data in the context of threedimensional structures. Journal of Structural Biology, 189(3), 177–183.
Köhl, M. M., & Götzenbrucker, G. (2014). Networked technologies as emotional resources? Exploring emerging emotional cultures on social network sites such as Facebook and Hi5: A transcultural study. Media, Culture & Society, 36(4), 508–525.
Kung, L.-S. (2016). A media revolution driven by 318 student movement: Reflecting on the live broadcasting mode established by students with flip-flops and Ipad. Journal of Communication Research and Practice, 6(1), 229–250.
Lee, J. K., Choi, J., Kim, C., & Kim, Y. (2014). Social media, network heterogeneity, and opinion polarization. Journal of Communication, 64, 702–722.
Lim, M. (2012). Clicks, cabs, and coffee houses: Social media and oppositional movements in Egypt, 2004–2011. Journal of Communication, 62(2), 231–248.
Lin, L. (2016). The practice of students are ‘NTU E news forum’ in the sunflower movement. Journal of Communication Research and Practice, 6(1), 251–269.
Mazer, J. P., Murphy, R. E., & Simond, C. J. (2009). The effects of teacher self-disclosure via Facebook on teacher credibility. Learning, Media and Technology, 34, 175–183.
Milgram, S. (1967) The small-world problem. Psychology Today, 1, 61–67.
Nazir, A., Raza, S., & Chuah, C. (2008). Unveiling Facebook: A measurement study of social applications. In Proceedings of the 8th ACM SIGCOMM Conference on Internet Measurement (pp. 43–56). New York: ACM.
Preece, J. (2001). Sociability and usability: Twenty years of chatting online. Behavior and Information Technology Journal, 20(5), 347–356.
Rheingold, H., & Weeks, A. (2014). Net smart: How to thrive online. Cambridge: Mit Press.
Ross, K., Fountaine, S., & Comrie, M. (2015). Facing up to Facebook: Politicians, publics and the social media(ted) turn in New Zealand. Media, Cuture & Society, 37(2), 251–269.
Saleh, F., Jani, H., Marzouqi, M., Khajeh, N., & Rajan, A. (2011, October). Social networking by the youth in the UAE: A privacy paradox. Paper presented at the 2011 International Confernce and Workshop on Current Trends in Information Technology, Dubai, UAE.
Sayyadi, H., Hurst, M., & Maykov, A. (2009). Event detection and tracking in social streams. Paper presented at International Conference on Weblogs and Social Media. Retrieved August 9, 2016, from https://www.aaai.org/ocs/index.php/ICWSM/09/paper/viewFile/170/493
Swani, K., Milane, G., & Brown, B. P. (2013). Spreading the word through likes on Facebook: Evaluating the message strategy effectiveness of Fourtune 500 companies. Journal of Research in Interactive Marketing, 7(4), 269–294.
Waters, R. D., Burnett, E., Lamm, A., & Lucas, J. (2009). Engaging stakeholders through social networking: How nonprofit organizations are using Facebook. Public Relations Review, 35, 102–106.
Wilson, R. E., Gosling, S. D., & Graham, L. T. (2012). A review of Facebook research in the social science. Perspectives on Psychological Science, 7(3), 203–220.
Xiong, K.-W., Wei, H.-S., & Chi, M.-T. (2014, July). Visualization of infoemation diffusion on social media: A case study on Facebook shareposts. Paper presented at Computer Graphics Workshop 2014. Taipei City: National Taipei University of Technology.
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Liu, HW., Lin, IY., Chi, MT., Hsu, KW. (2018). Understanding “The User-Generated”: The Construction of the “ABC Model” and the Imagination of “Digital Humanities”. In: Chen, SH. (eds) Big Data in Computational Social Science and Humanities. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-95465-3_11
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