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Guess who?: enriching the social graph through a crowdsourcing game

Published: 07 May 2011 Publication History

Abstract

Despite the tremendous popularity of social network sites both on the web and within enterprises, the relationship information they contain may be often incomplete or outdated. We suggest a novel crowdsourcing approach that uses a game to help enrich and expand the social network topology. The game prompts players to provide the names of people who have a relationship with individuals they know. The game was deployed for a one-month period within a large global organization. We provide an analysis of the data collected through this deployment, in comparison with the data from the organization's social network site. Our results indicate that the game rapidly collects large volumes of valid information that can be used to enrich and reinforce an existing social network site's data. We point out other aspects and benefits of using a crowdsourcing game to harvest social network information.

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cover image ACM Conferences
CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
May 2011
3530 pages
ISBN:9781450302289
DOI:10.1145/1978942
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 May 2011

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Author Tags

  1. crowdsourcing
  2. games
  3. human computation
  4. social networks

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CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2016)Let's Stitch Me and You Together!Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858520(3061-3065)Online publication date: 7-May-2016
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