The paper provides empirical evidence supporting the assumption that content plays a critical role in determining the virality, i. e., the influence, of social media information. The analysis focuses on multimedia content on Twitter and explores the idea that links to multimedia information increase the virality of posts. In particular, we put forward the following three main hypotheses: (1) posts with a link to multimedia content (photo or video) are more retweeted than posts without a link; (2) posts linking a photo are more retweeted than posts linking a video, and (3) posts linking a video raise more sentiment than posts linking a photo. Hypotheses are tested on a sample of roughly two million tweets posted in July 2011 including comments on Berlin, London, Madrid, and Milan relevant from a tourism perspective. Findings support our hypotheses and indicate that multimedia content plays an important role in determining not only the volumes of retweeting, but also the dynamics of the virality of posts measured as speed of retweeting.
References
[1]
Beck, T.H.; Davenport, J.C. The Attention Economy: Understanding the New Currency of Business; Harvard Business School Press: Boston, MA, USA, 2001.
[2]
Agichtein, E.; Castillo, C.; Donato, D.; Gionis, A.; Mishne, G. Finding high-quality content in social media. In Proceedings of the International Conference on Web Search and Web Data Mining, Palo Alto, CA, USA, 2008; pp. 183–194.
[3]
Simmel, G. Soziologie: Untersuchungen über Die Formen der Vergesellschaftung; Duncker & Humblot: Berlin, Germany, 1908.
[4]
Moreno, J.L. Who Shall Survive?: A New Approach to the Problem of Human Interrelations; Nervous and Mental Disease Publishing Company: Washington, DC, USA, 1934.
[5]
Harary, F.; Norman, R.Z.; Cartwright, D. Structural Models: An Introduction to the Theory of Directed Graphs; John Wiley & Sons Inc.: Hoboken, NJ, USA, 1965.
[6]
Cartwright, D.E. Studies in Social Power; Research Center for Group Dynamics, Institute for Social Research, University of Michigan: Michigan, MI, USA, 1959.
[7]
Chung, K.K.S.; Hossain, L.; Davis, J. Exploring Sociocentric and Egocentric Approaches for Social Network Analysis. In Proceedings of International Conference on Knowledge Management, Wellington, NZ, USA, 27–29 September 2005; pp. 1–8.
[8]
Barnes, J.A. Class and committees in a Norwegian island parish. Hum. Relat. 1954, 7, 39–58, doi:10.1177/001872675400700102.
[9]
Granovetter, M.S. The strength of weak ties. Amer. J. Sociol. 1973, 78, 1360–1380.
[10]
Milgram, S. The small world problem. Psychol. Today 1967, 2, 60–67.
[11]
Freeman, L.C. Centrality in social networks conceptual clarification. Soc. Netw. 1979, 1, 215–239, doi:10.1016/0378-8733(78)90021-7.
[12]
Jansen, B.J.; Zhang, M.; Sobel, K.; Chowdury, A. Twitter power: Tweets as electronic word of mouth. J. Am. Soc. Inf. Sci. Technol. 2009, 60, 2169–2188, doi:10.1002/asi.21149.
[13]
Benevenuto, F.; Cha, M.; Gummadi, K.P.; Haddadi, H. Measuring user influence in twitter: The million follower fallacy. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, Washington, DC, USA, 23–26 May 2010; pp. 10–17.
[14]
Galuba, W.; Aberer, K.; Chakraborty, D.; Despotovic, Z.; Kellerer, W. Outtweeting the twitterers-predicting information cascades in microblogs. In Proceedings of 3rd Workshop on Online Social Networks (WOSN), Boston, MA, USA, 2010; USENIX Association: Berkeley, CA, USA, 2010; pp. 1–9.
[15]
Suh, B.; Hong, L.; Pirolli, P.; Chi, E.H. Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network. In Proceedings of IEEE Second International Conference on Social Computing, Minneapolis, MN, USA, 20–22 August 2010; pp. 177–184.
[16]
Leavitt, A.; Burchard, E.; Fisher, D.; Gilbert, S. The influentials: New approaches for analyzing influence on twitter. Available online: http://www.webecologyproject.org/2009/09/analyzing-influence-on-twitter/ (accessed on 18 July 2012).
[17]
Kwak, H.; Lee, C.; Park, H.; Moon, S. What is twitter, a social network or a news media? In Proceedings of the 19th International Conference on World Wide Web, Raleigh, NC, USA, 24–30 April 2010; ACM: New York, NY, USA, 2010; pp. 591–600.
[18]
Romero, D.; Galuba, W.; Asur, S.; Huberman, B. Influence and passivity in social media. Available online: http://arxiv.org/pdf/1008.1253v1.pdf (accessed on 23 July 2012).
[19]
Brin, S.; Page, L. The anatomy of a large-scale hypertextual Web search engine. Comput. Netw. ISDN Syst. 1998, 30, 107–117, doi:10.1016/S0169-7552(98)00110-X.
[20]
What facebook users "like". Crowd Science. Available online: http://crowdscience.com/ (accessed on 18 July 2012).
[21]
Gao, W.; Tian, Y.; Huang, T.; Yang, Q. Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surve. (CSUR) 2010, 42, 1–63.
[22]
O'Dell, J. How Videos Go Viral [Infographic]. Available online: http://mashable.com/2011/01/26/viral-videos-infographic/ (accessed on 28 December 2011).
[23]
Collyer, S.C.; Jonides, J.; Bevan, W. Images as memory aids: Is bizarreness helpful? Am. J. Psychol. 1972, 85, 31–38, doi:10.2307/1420958.
[24]
Lang, A.; Newhagen, J.; Reeves, B. Negative video as structure: Emotion, attention, capacity, and memory. J. Broadcast. Electron. Media 1996, 40, 460–477, doi:10.1080/08838159609364369.
[25]
Bryan, C.J.; Dhillon‐Davis, L.E.; Dhillon‐Davis, K.K. Emotional impact of a video‐based suicide prevention program on suicidal viewers and suicide survivors. Suicide Life-Threat. Behav. 2009, 39, 623–632, doi:10.1521/suli.2009.39.6.623.
[26]
Page, R. The emotional impact of video. Available online: http://creditunionsavvy.blogspot.it/2012/01/emotional-impact-of-video.html (accessed on 14 June 2012).
[27]
Wallsten, K. “Yes We Can”: How online viewership, blog discussion, campaign statements, and mainstream media coverage produced a viral video phenomen. J. Inform. Technol. Polit. 2010, 7, 163–181, doi:10.1080/19331681003749030.
[28]
Bradley, M.M.; Greenwald, M.K.; Petry, M.C.; Lang, P.J. Remembering pictures: Pleasure and arousal in memory. J. Exp. Psychol. 1992, 18, 379.
[29]
Horowitz, M.J. Psychic trauma: Return of images after a stress film. Arch. Gen. Psychiat. 1969, 20, 552, doi:10.1001/archpsyc.1969.01740170056008.
Malik, A.A. Say it with pictures. Available online: http://naveedcomputerservices.blogspot.it/2011/08/say-it-with-pictures.html (accessed on 24 April 2012).
[32]
Freidlin, B.; Gastwirth, J.L. Should the median test be retired from general use? Amer. Statist. 2000, 54, 161–164.
[33]
Barbagallo, D. A Data Quality Based Methodology to Improve Sentiment Analyses; Politecnico di Milano: Milan, Italy, 2010.
[34]
Anholt, S. Competitive Identity: The New Brand Management for Nations, Cities and Regions, 1st ed.; Palgrave Macmillan: Basingstoke, UK, 2007.
[35]
Sheskin, D. Handbook of Parametric and Nonparametric Statistical Procedures, 3rd ed.; Chapman and Hall/CRC: London, UK, 2003.
[36]
Kendall, M.; Gibbons, J.D. Rank Correlation Methods, 5th ed.; Oxford University Press: Oxford, UK, 1990.
[37]
Barbagallo, D.; Bruni, L.; Francalanci, C.; Giacomazzi, P. An Empirical Study on the Relationship between Sentiment and Influence in the Tourism Domain. In Proceedings of 19th eTourism Community Conference (ENTER2012), Helsingborg, Sweden, 24–27 January 2012; Fuchs, M., Ricci, F., Cantoni, L., Eds.; Springer Vienna: Helsingborg, Sweden, 2012; pp. 506–516.
[38]
Logan, R.K. What is information? Why is it relativistic and what is its relationship to materiality, meaning and organization. Information 2012, 3, 68–91, doi:10.3390/info3010068.
[39]
MacKay, D.M. Information, Mechanism and Meaning; MIT Press: Cambridge, MA, USA, 1969.
[40]
Scharl, A.; Dickinger, A.; Weichselbraun, A. Analyzing news media coverage to acquire and structure tourism knowledge. Inform. Technol. Tourism 2008, 10, 3–17, doi:10.3727/109830508785059039.
[41]
Twitter Inc. Help Center: FAQs about retweets (RT). Available online: http://support.twitter.com/groups/31-twitter-basics/topics/111-features/articles/77606-faqs-about-retweets-rt (accessed on 18 June 2012).
