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Social Computing and the Attention Economy

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Abstract

Social computing focuses on the interaction between social behavior and information, especially on how the latter propagates across social networks and is consumed and transformed in the process. At the same time the ubiquity of information has left it devoid of much monetary value. The scarce, and therefore valuable, resource is now attention, and its allocation gives rise to an attention economy that determines how content is consumed and propagated. Since two major factors involved in getting attention are novelty and popularity, we analyze the role that both play in attracting attention to web content and how to prioritize them in order to maximize it. We also demonstrate that the relative performance of strategies based on prioritizing either popularity or novelty exhibit an abrupt change around a critical value of the novelty decay time, resembling a phase transition.

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References

  1. Franck, G.: Science communication, a vanity fair. Science 286, 53–55 (1999)

    Article  Google Scholar 

  2. Klamer, A., Dalen, H.P.V.: Attention and the art of scientific publishing. J. Econ. Methodol. 9, 289–315 (2002)

    Article  Google Scholar 

  3. Wu, F., Huberman, B.A.: Popularity, novelty and attention. In: Proceedings of the 2008 ACM Conference on Electronic Commerce, 2008

  4. Szabo, G., Huberman, B.A.: Predicting the popularity of online content. Commun. ACM 8, 80–88 (2010)

    Article  Google Scholar 

  5. Falkinger, J.: Attention economies. J. Econ. Theory 133, 266–294 (2007)

    Article  MATH  Google Scholar 

  6. Garofalakis, J., Kappos, P., Mourloukos, D.: Web site optimization using page popularity. IEEE Internet Comput. 3(4), 22–29 (1999)

    Article  Google Scholar 

  7. Hong, W., Thong, J.Y.L., Tam, K.Y: Does animation attract online users attention? The effects of flash on information search performance and perceptions. Inf. Syst. Res. 15(1), 60–86 (2004)

    Article  Google Scholar 

  8. Huberman, B.A., Pirolli, P.L.T., Pitkow, J.E., Lukose, R.M.: Strong regularities in world wide web surfing. Science 280(5360), 95–97 (1998)

    Article  ADS  Google Scholar 

  9. Niño-Mora, J.: Stochastic scheduling. In: Floudas, C.A., Pardalos, P.M. (eds.) Encyclopedia of Optimization, vol. V, pp. 367–372 (2001)

    Google Scholar 

  10. Wu, F., Huberman, B.A.: The economics of attention: maximizing user value in information-rich environments. In: The First International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD’07), 2007

  11. Wu, F., Huberman, B.A.: Novelty and collective attention. Proc. Natl. Acad. Sci. 104(45), 17599–17601 (2007)

    Article  ADS  Google Scholar 

  12. Zhang, P.: The effects of animation on information seeking performance on the world wide web: securing attention or interfering with primary tasks? AIS 1(1) (2000)

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Authors and Affiliations

  1. HP Laboratories, Palo Alto, CA, 94304, USA

    Bernardo A. Huberman

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  1. Bernardo A. Huberman
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Correspondence to Bernardo A. Huberman.

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Huberman, B.A. Social Computing and the Attention Economy. J Stat Phys 151, 329–339 (2013). https://doi.org/10.1007/s10955-012-0596-5

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  • DOI: https://doi.org/10.1007/s10955-012-0596-5

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