TY - GEN
T1 - Analyzing crowdsourced promotion effects in online social networks
AU - Kim, Hee Jeong
AU - Chae, Dong Kyu
AU - Kim, Sang Wook
AU - Lee, Jongwuk
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/4/4
Y1 - 2016/4/4
N2 - 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.
AB - 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.
KW - Crowdsourced promotion
KW - Crowdsourcing
KW - Fiverr
KW - Promotion effects
KW - Twitter
UR - https://www.scopus.com/pages/publications/84975830635
U2 - 10.1145/2851613.2852005
DO - 10.1145/2851613.2852005
M3 - Conference contribution
AN - SCOPUS:84975830635
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 820
EP - 823
BT - 2016 Symposium on Applied Computing, SAC 2016
PB - Association for Computing Machinery
T2 - 31st Annual ACM Symposium on Applied Computing, SAC 2016
Y2 - 4 April 2016 through 8 April 2016
ER -