TY - GEN
T1 - Selective behavior in online social networks
AU - Xiao, Chunjing
AU - Su, Ling
AU - Bi, Juan
AU - Xue, Yuxia
AU - Kuzmanovic, Aleksandar
PY - 2012
Y1 - 2012
N2 - According to the classical communication theories, known as Gate keeping and Selective Exposure, individuals tend to have selective behavior when they disseminate and receive information based on their psychological preferences. Selective behavior related to these two theories have been broadly studied separately. While, thanks to the advent of Online Social Networks (OSNs), larger-scale feedback and user information can be collected. In this paper, based on these data, We analyze the correlation among users' properties (such as age, gender, and cultural background) and analyze their selective behavior by tagging users as disseminators and/or audiences in YouTube, Flickr, and Twitter. We find that despite enormous amount of content available in OSNs, users have a comparatively small selective range and do exhibit selective behavior properties. In particular, they pay the most attention to the content published by disseminators that share similar properties, i.e., gender, age, and country. Nonetheless, we also find significant differences and commonalities among the three OSNs with respect to selective behavior. In particular, (i) the proportion and properties of disseminators, audiences, and dual-role users are quite different for the three networks, (ii) the global level of information spread in Flickr is almost two times than that in Twitter and YouTube is approximately the median one, (iii) For a given country, the global level of information spread is different for different OSNs. For a given OSN, it is different for different countries, (iv) despite ubiquitous presence of dual-role users in OSNs, most of such users are very active as either disseminators or audiences, but not both. Our findings are not only useful for understanding these two theories, but also have applications ranging from advertising and recommendation systems to developing predicting models.
AB - According to the classical communication theories, known as Gate keeping and Selective Exposure, individuals tend to have selective behavior when they disseminate and receive information based on their psychological preferences. Selective behavior related to these two theories have been broadly studied separately. While, thanks to the advent of Online Social Networks (OSNs), larger-scale feedback and user information can be collected. In this paper, based on these data, We analyze the correlation among users' properties (such as age, gender, and cultural background) and analyze their selective behavior by tagging users as disseminators and/or audiences in YouTube, Flickr, and Twitter. We find that despite enormous amount of content available in OSNs, users have a comparatively small selective range and do exhibit selective behavior properties. In particular, they pay the most attention to the content published by disseminators that share similar properties, i.e., gender, age, and country. Nonetheless, we also find significant differences and commonalities among the three OSNs with respect to selective behavior. In particular, (i) the proportion and properties of disseminators, audiences, and dual-role users are quite different for the three networks, (ii) the global level of information spread in Flickr is almost two times than that in Twitter and YouTube is approximately the median one, (iii) For a given country, the global level of information spread is different for different OSNs. For a given OSN, it is different for different countries, (iv) despite ubiquitous presence of dual-role users in OSNs, most of such users are very active as either disseminators or audiences, but not both. Our findings are not only useful for understanding these two theories, but also have applications ranging from advertising and recommendation systems to developing predicting models.
KW - Gatekeeping
KW - Information propagation
KW - Selective Exposure
KW - Social Networks
UR - http://www.scopus.com/inward/record.url?scp=84877623840&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877623840&partnerID=8YFLogxK
U2 - 10.1109/WI-IAT.2012.42
DO - 10.1109/WI-IAT.2012.42
M3 - Conference contribution
AN - SCOPUS:84877623840
SN - 9780769548807
T3 - Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
SP - 206
EP - 213
BT - Proceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
T2 - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
Y2 - 4 December 2012 through 7 December 2012
ER -