Aggregate bandwagon effect on online videos' viewership: Value uncertainty, popularity cues, and heuristics

Journal of the American Society for Information Science and Technology

Volumn 62, Issue 12, 2011, Pages 2382-2395

  Fu, W Wayne ^a   Sim, Clarice C ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWAGON EFFECT; BEHAVIORAL THEORY; DATA SETS; DECISION MAKERS; HIT COUNT; MODEL TESTS; ONLINE VIDEO; QUALITY UNCERTAINTY; USER-GENERATED VIDEO; VIDEO CLIPS; WEB USERS;

DATA PROCESSING; USER INTERFACES;

STATISTICAL TESTS;

EID: 80755139671     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21641     Document Type: Article

References (73)

1. Aiken, L.S., &, West, S.G., (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: Sage.
2. Anderson, C., (2006). The long tail: Why the future of business is selling less of more. New York: Hyperion.
3. Atkin, C.K., (1985). Information utility and selective exposure to entertainment media. In, D. Zillmann, &, J. Bryant, (Eds.), Selective exposure to communication (pp. 63-91). Mahwah, NJ: Erlbaum.
4. Banerjee, A.V., (1992). A simple model of herd behavior. Quarterly Journal of Economics, 107 (3), 797-817.
5. Barnett, G.A., Fink, E.L., &, Debus, M.B., (1989). A mathematical model of academic citation age. Communication Research, 16 (4), 510-531.
6. Bass, F.M., (1969). A new product growth model for consumer durables. Management Science, 15 (5), 215-227.
7. Bikhchandani, S., Hirschleifer, D., &, Welch, I., (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100 (5), 992-1026.
8. Bikhchandani, S., Hirschleifer, D., &, Welch, I., (1998). Learning from the behaviors of others: Conformity, fads, and information cascade. Journal of Economic Perspectives, 12 (3), 151-170.
9. Borland, J., (1998, April 13). Move over megamalls: Cyberspace is the great retailing equalizer. Knight Ridder/Tribune Business News, 3, EL2.
10. Carr, N.G., (2010). The shallows: What the Internet is doing to our brains. New York, NY: Norton.
11. Cha, M., Kwak, H., Rodriguez, P., Ahn, Y.-Y., &, Moon, S., (2009). Analyzing the video popularity characteristics of large-scale user generated systems. IEEE/ACM Transactions on Networking, 17 (5), 1357-1370.
12. Chaiken, S., (1980). Heuristic and systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39 (5), 752-766.
13. Chaiken, S., (1987). The heuristic model of persuasion. In, M.P. Zanna, J.M. Olsen, &, C.P. Herman, (Eds.), Social influence: The Ontario Symposium (Vol. 5, pp. 3-39). Hillsdale, NJ: Erlbaum.
14. Chaiken, S., Lieberman, A., &, Eagly, A.H., (1989). Heuristic and systematic processing within and beyond the persuasion context. In, J.S. Uleman, &, J.A. Bargh, (Eds.), Unintended thought (pp. 212-252). New York, NY: Guilford Press.
15. Chevalier, J.A., &, Mayzlin, D., (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43 (3), 345-354. (Pubitemid 44367333)
16. Cho, J., &, Roy, S., (2004). Impact of search engines on page popularity. Proceedings of the 13th International Conference on the World Wide Web (pp. 20-29), New York.
17. Choi, C.J., Dassiou, X., &, Gettings, S., (2000). Herding behaviour and the size of customer base as a commitment to quality. Economica, 67 (3), 375-398.
18. De Vany, A., &, Lee, C., (2001). Quality signals in information cascades and the dynamics of the distribution of motion picture box office revenues. Journal of Economic Dynamics & Control, 25 (3-4), 593-614. (Pubitemid 33625965)
19. Dholakia, U.M., &, Soltysinski, K., (2001). Coveted or overlooked? The psychology of bidding for comparable listings in digital auctions. Marketing Letters, 12 (3), 225-237. (Pubitemid 33686498)
20. Dourish, P., (1999). Where the footprints lead: Tracking down other roles for social navigation. In, A.J. Munro, K. Höök, &, D. Benyon, (Eds.), Social navigation of information space (pp. 15-34). New York, NY: Springer.
21. Easley, D., &, Kleinberg, J., (2010). Networks, crowds, and markets: Reasoning about a highly connected world. New York, NY: Cambridge University Press.
22. Flanagin, A.J., &, Metzger, M., (2008). Digital media and youth: Unparalleled opportunity and unprecedented responsibility. In, M.J. Metzger, &, A.J. Flanagin, (Eds.), Digital media, youth, and credibility (pp. 5-28). Cambridge, MA: MIT Press.
23. Frank, R.H., &, Cook, P.J., (1995). The winner-take-all society: Why the few at the top get so much more than the rest of us. New York, NY: Free Press.
24. Frey, D., (1986). Recent research on selective exposure to information. In, L. Berkowitz, (Ed.), Advances in experimental social psychology (Vol. 19, pp. 41-80). Amsterdam, The Netherlands: Elsevier.
25. Friedman, T.L., (1999, February 26). Amazon.you. New York Times, A21.
26. Fu, W.W., (2004). Termination-discriminatory pricing, subscriber bandwagons, and network traffic patterns: The Taiwanese mobile phone market. Telecommunications Policy, 28 (1), 5-22.
27. Gibson, M.L., (1991). Editing in the electronic era. Ames: Iowa State University Press.
28. Gigerenzer, G., &, Todd, P.M., (1999). Simple heuristics that make us smart. New York, NY: Oxford University Press.
29. Gill, P., Arlitt, M., Li, Z., &, Mahanti, A., (2007, October). YouTube traffic characterization: A view from the edge. Proceedings of the Seventh ACM Special Interest Group on Data Communications (SIGCOMM) Conference on Internet Measurement (pp. 15-28). New York: ACM Press.
30. Graham, G., (1999). The Internet: A philosophical inquiry. London, England: Routledge.
31. Gujarati, D., (1999). Essentials of econometrics. New York, NY: McGraw-Hill.
32. Hanson, W.A., &, Putler, D.S., (1996). Hits and misses: Herd behavior and online product popularity. Marketing Letters, 7 (4), 297-305. (Pubitemid 126510526)
33. Heffernan, V., &, Zeller, T., (2006, September 13). The lonely girl that really wasn't. New York Times. Retrieved from
34. Hilligoss, B., &, Rieh, S.Y., (2008). Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information Processing & Management, 44, 1467-1484. (Pubitemid 351749762)
35. Hindman, M., (2009). The myth of digital democracy. Princeton, NJ: Princeton University Press.
36. Huang, J.H., &, Chen, Y.F., (2006). Herding in online product choice. Psychology & Marketing, 23 (5), 413-428.
37. Jarvenpaa, S.J., &, Todd, P.A., (1996). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1 (2), 59-88.
38. Jiang, Z., &, Benbasat, I., (2004). Virtual product experience: Effects of visual and functional control of products on perceived diagnosticity in electronic shopping. Journal of Management Information Systems, 21 (3), 111-147. (Pubitemid 40264571)
39. Kim, M., &, Lennon, S., (2008). The effects of visual and verbal information on attitudes and purchase intentions in Internet shopping. Psychology and Marketing, 25 (2), 146-178.
40. Lee, A.H., (1988). Assessing partial influence in generalized linear models. Biometrics, 44 (1), 71-77. (Pubitemid 18098812)
41. MacInnis, D.J., &, Price, L.L., (1987). The role of imagery in information processing: Review and extensions. Journal of Consumer Research, 13 (4), 473-491.
42. Madden, M., (2007, July 25). Online video [Report]. Retrieved from the Pew Internet & American Life Project
43. Mahajan, V., Muller, E., &, Bass, F.M., (1990). New product diffusion models in marketing: A review and directions for research. Journal of Marketing, 54 (1), 1-26.
44. Metzger, M.J., Flanagin, A.J., &, Medders, R.B., (2010). Social and heuristic approaches to credibility evaluation online. Journal of Communication, 60 (3), 413-439.
45. Napoli, P.M., (2011). Audience evolution: New technologies and the transformation of media audiences. New York, NY: Columbia University Press.
46. Neuman, W.R., (1991). The future of the mass audience. Boston, MA: Cambridge University Press.
47. Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., &, Granka, L., (2007). In Google we trust: Users' decisions on rank, position, and relevance. Journal of Computer-Mediated Communication, 12 (3), Article 3. Available at
48. Pariser, E., (2011). The filter bubble: What the Internet is hiding from you. New York, NY: Penguin.
49. Park, J., Lennon, S.J., &, Stoel, L., (2005). On-line product presentation: Effects on mood, perceived risk, and purchase intention. Psychology and Marketing, 22 (9), 695-719. (Pubitemid 41304863)
50. Pavlou, P.A., Liang, H., &, Xue, Y., (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31 (1), 105-136.
51. Peterson, R.A., &, Merino, M.C., (2003). Consumer information search behavior and the Internet. Psychology and Marketing, 20 (2), 99-121. (Pubitemid 38613513)
52. Petty, R.E., &, Cacioppo, J.T., (1986). Communication and persuasion: Central and peripheral routes to attitude change. New York, NY: Springer-Verlag.
53. Pirolli, P., (2005). Rational analyses of information foraging on the Web. Cognitive Science, 29 (3), 343-373. (Pubitemid 40899970)
54. Rieh, S.Y., &, Hilligoss, B., (2008). College students' credibility judgments in the information-seeking process. In, M.J. Metzger, &, A.J. Flanagin, (Eds.), Digital media, youth, and credibility (pp. 49-72). Cambridge, MA: MIT Press.
55. Rogers, E.M., (1962). Diffusion of innovations. New York, NY: Free Press.
56. Salganik, M.J., Dodds, P.S., &, Watts, D.J., (2006). Experimental study of inequality and unpredictability in an artificial music market. Science, 311, 854-856. (Pubitemid 43228850)
57. Salganik, M.J., &, Watts, D.J., (2008). Leading the herd astray: An experimental study of self-fulfilling prophecies in an artificial cultural market. Social Psychology Quarterly, 71 (4), 338-355.
58. Simon, H.A., (1954). Bandwagon and underdog effects and the possibility of election predictions. Public Opinion Quarterly, 18 (3), 245-253.
59. Simon, H.A., (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69 (1), 99-118.
60. Sun, T., Youn, S., Wu, G., &, Kuntaraporn, M., (2006). Online word-of-mouth (or mouse): An exploration of its antecedents and consequences. Journal of Computer-Mediated Communication, 11 (4), Article 11. Available at
61. Sundar, S.S., (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. In, M.J. Metzger, &, A.J. Flanagin, (Eds.), Digital media, youth, and credibility (pp. 73-100). Cambridge, MA: MIT Press.
62. Sundar, S.S., Knobloch-Westerwick, S., &, Hastall, M.R., (2007). News cues: Information scent and cognitive heuristics. Journal of the American Society for Information Science and Technology, 58, 366-378. (Pubitemid 46383524)
63. Sundar, S.S., &, Nass, C., (2001). Conceptualizing sources in online news. Journal of Communication, 51 (1), 52-72.
64. Sundar, S.S., Oeldorf-Hirsch, A., &, Xu, Q., (2008). The bandwagon effect of collaborative filtering technology. Proceedings of the ACM Special Interest Group on Computer-Human Interaction (CHI 2008) Conference on Human Factors in Computing Systems (pp. 3453-3458).
65. Sundar, S.S., Xu, Q., &, Oeldorf-Hirsch, A., (2009). Authority vs. peer: How interface cues influence users. Proceedings of the ACM Special Interest Group on Computer-Human Interaction (CHI 2009) Conference on Human Factors in Computing Systems (pp. 4231-4236).
66. Sunstein, C., (2001). Republic.com. Princeton, NJ: Princeton University Press.
67. Tan, S.J., (1999). Strategies for reducing consumers risk aversion in Internet shopping. Journal of Consumer Marketing, 16 (2), 163-180.
68. Tversky, A., &, Kahneman, D., (1974). Judgment under uncertainty: Heuristics and biases. Science, 185 (4157), 1124-1131.
69. Vishwanath, A., (2003). Comparing online information effects: A cross-cultural comparison of online information and uncertainty avoidance. Communication Research, 30 (6), 579-598. (Pubitemid 37434297)
70. Webster, J.G., (2005). Beneath the veneer of fragmentation: Television audience polarization in a multichannel world. Journal of Communication, 55 (2), 366-382. (Pubitemid 41444410)
71. Webster, J.G., (2011). The duality of media: A structurational theory of public attention. Communication Theory, 21 (1), 43-66.
72. Webster, J.G., &, Phalen, P.F., (1997). The mass audience: Rediscovering the dominant model. Mahwah, NJ: Erlbaum.
73. Yim, J., (2003). Audience concentration in the media: Cross-media comparisons and the introduction of the uncertainty measure. Communication Monographs, 70 (2), 114-128. (Pubitemid 37395855)