Analyzing crowdsourced promotion effects in online social networks

Hee Jeong Kim, Dong Kyu Chae, Sang Wook Kim, Jongwuk Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In recent years, crowdsourcing has been actively used for many people to promote their products in online social networks (OSN), e.g., Twitter. The promotion activity in Twitter is typically performed by retweeting tweets by some accounts, called workers who earn monetary profits by deliberately promoting products for a requester. In this process, a fundamental question is whether the promotions by workers are really effective or not. To answer this question, in this paper, we analyze topological characteristics for the networks of workers, and evaluate the effect of promotions. Our empirical study demonstrates that the network of workers tends to be connected as a small-world network and their promotions show low impacts in the network of workers.

Original languageEnglish
Title of host publication2016 Symposium on Applied Computing, SAC 2016
PublisherAssociation for Computing Machinery
Pages820-823
Number of pages4
ISBN (Electronic)9781450337397
DOIs
StatePublished - 4 Apr 2016
Externally publishedYes
Event31st Annual ACM Symposium on Applied Computing, SAC 2016 - Pisa, Italy
Duration: 4 Apr 20168 Apr 2016

Publication series

NameProceedings of the ACM Symposium on Applied Computing
Volume04-08-April-2016

Conference

Conference31st Annual ACM Symposium on Applied Computing, SAC 2016
Country/TerritoryItaly
CityPisa
Period4/04/168/04/16

Keywords

  • Crowdsourced promotion
  • Crowdsourcing
  • Fiverr
  • Promotion effects
  • Twitter

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