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10.1145/2631775.2631813acmconferencesArticle/Chapter ViewAbstractPublication PageshtConference Proceedingsconference-collections
keynote

The wisdom of ad-hoc crowds

Published: 01 September 2014 Publication History

Abstract

In this keynote we give an introduction to wisdom of crowds in the Web, the long tail of web content, and the bias involved in the generation of user generated content (UGC). This bias creates the wisdom of ad-hoc crowds or the wisdom of a few. Although it is well known that user activity in most settings follows a power law, that is, few people do a lot, while most do nothing, there are few studies that characterize well this activity. In a recent analysis of social network data we corroborated that a small percentage of the active users (passive users are the majority) represent at least the 50% of the UGC. This implies that most of the wisdom comes from a few users, which is not that surprising, as the Web is a reflection of our own society, where economical or political power also is in the hands of minorities.

References

[1]
R. Baeza-Yates, A. Broder and Y. Maarek. The new frontier of Web Search Technology: Seven challenges. In Search Computing { Trends and Developments, S. Ceri and M. Brambilla (eds). LNCS 6585, Springer, Berlin, 2011.
[2]
R. Baeza-Yates and D. Saez-Trumper. Wisdom of the Crowd or Wisdom of a Few? An Analysis of Users' Content Generation. Submitted for publication, 2014.
[3]
J. Surowiecki. The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Random House, 2005.
[4]
S. Wu, J. M. Hofman, W. A. Mason, and D. J. Watts. Who says what to whom on Twitter. In WWW, pages 705--714, 2011.

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  • (2019)Internet of People (IoP): A case study on Retail Application2019 1st International Conference on Advances in Information Technology (ICAIT)10.1109/ICAIT47043.2019.8987350(301-307)Online publication date: Jul-2019

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Published In

cover image ACM Conferences
HT '14: Proceedings of the 25th ACM conference on Hypertext and social media
September 2014
346 pages
ISBN:9781450329545
DOI:10.1145/2631775
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2014

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  1. social networks
  2. user generated content
  3. wisdom of crowds

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HT '14
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HT '14 Paper Acceptance Rate 49 of 86 submissions, 57%;
Overall Acceptance Rate 378 of 1,158 submissions, 33%

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View all
  • (2019)Internet of People (IoP): A case study on Retail Application2019 1st International Conference on Advances in Information Technology (ICAIT)10.1109/ICAIT47043.2019.8987350(301-307)Online publication date: Jul-2019

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