Analyzing crowdsourced promotion effects in online social networks

Citations

SCOPUS

3

초록

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.

키워드

Crowdsourced promotionCrowdsourcingFiverrPromotion effectsTwitterCrowdsourcingSmall-world networksCrowdsourced promotionEmpirical studiesFiverrOn-line social networksOnline social networks (OSN)Promotion effectsTopological characteristicsTwitterSocial networking (online)
제목
Analyzing crowdsourced promotion effects in online social networks
저자
Kim, Hee-JeongChae, Dong-KyuKim, Sang-WookLee, Jongwuk
DOI
10.1145/2851613.2852005
발행일
2016-04
유형
Conference Paper
저널명
Proceedings of the ACM Symposium on Applied Computing
04-08-April-2016
페이지
820 ~ 823