TY - GEN
T1 - Quantifying utility and trustworthiness for advice shared on online social media
AU - Moturu, Sai T.
AU - Yang, Jian
AU - Liu, Huan
PY - 2009
Y1 - 2009
N2 - The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, there is no easy way to find the most useful content or to detect whether it is trustworthy. A casual observer might not be able to differentiate between the useful and the useless or the trustworthy and the untrustworthy. In this work, we wish to study the problem of quantifying the value of such user-shared content. In particular, we are focussed on health content as the negative impacts are higher for this domain.We use advice shared on a health social network, Daily Strength, for this study. We describe and define the notions of trustworthiness and utility for social media content. We identify the necessity and challenges for their assessment, and propose a framework that helps address these challenges by identifying relevant features and providing empirical means to meet the requirements for such an evaluation. We select relevant variables and perform numerous experiments to evaluate our models. The results demonstrate promising performance that could possibly be replicated with other social media applications.
AB - The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, there is no easy way to find the most useful content or to detect whether it is trustworthy. A casual observer might not be able to differentiate between the useful and the useless or the trustworthy and the untrustworthy. In this work, we wish to study the problem of quantifying the value of such user-shared content. In particular, we are focussed on health content as the negative impacts are higher for this domain.We use advice shared on a health social network, Daily Strength, for this study. We describe and define the notions of trustworthiness and utility for social media content. We identify the necessity and challenges for their assessment, and propose a framework that helps address these challenges by identifying relevant features and providing empirical means to meet the requirements for such an evaluation. We select relevant variables and perform numerous experiments to evaluate our models. The results demonstrate promising performance that could possibly be replicated with other social media applications.
UR - http://www.scopus.com/inward/record.url?scp=70849112148&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70849112148&partnerID=8YFLogxK
U2 - 10.1109/CSE.2009.461
DO - 10.1109/CSE.2009.461
M3 - Conference contribution
AN - SCOPUS:70849112148
SN - 9780769538235
T3 - Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
SP - 489
EP - 494
BT - Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 2009 IEEE International Conference on Social Computing, SocialCom 2009
T2 - 2009 IEEE International Conference on Social Computing, SocialCom 2009
Y2 - 29 August 2009 through 31 August 2009
ER -