Friends and foes: ideological social networking Export

@inproceedings{citeulike:3091695, abstract = {Traditional online social network sites use a single monolithic "friends" relationship to link users. However, users may have more in common with strangers, suggesting the use of a "similarity network" to recommend content. This paper examines the usefulness of this distinction in propagating new content. Using both macroscopic and microscopic social dynamics, we present an analysis of Essembly, an ideological social network that semantically distinguishes between friends and ideological allies and nemeses . Although users have greater similarity with their allies than their friends and nemeses, surprisingly, the allies network does not affect voting behavior, despite being as large as the friends network. In contrast, users are influenced differently by their friends and nemeses, indicating that people use these networks for distinct purposes. We suggest resulting design implications for social content aggregation services and recommender systems.}, address = {New York, NY, USA}, author = {Brzozowski, Michael J. and Hogg, Tad and Szabo, Gabor}, booktitle = {CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems}, citeulike-article-id = {3091695}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1357054.1357183}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1357054.1357183}, doi = {10.1145/1357054.1357183}, isbn = {978-1-60558-011-1}, keywords = {social-awareness, social-software, socialnetwork}, location = {Florence, Italy}, pages = {817--820}, posted-at = {2008-08-06 20:19:37}, priority = {2}, publisher = {ACM}, title = {Friends and foes: ideological social networking}, url = {http://dx.doi.org/10.1145/1357054.1357183}, year = {2008} }

TY - CONF ID - citeulike:3091695 L3 - citeulike-article-id:3091695 N2 - Traditional online social network sites use a single monolithic "friends" relationship to link users. However, users may have more in common with strangers, suggesting the use of a "similarity network" to recommend content. This paper examines the usefulness of this distinction in propagating new content. Using both macroscopic and microscopic social dynamics, we present an analysis of Essembly, an ideological social network that semantically distinguishes between friends and ideological allies and nemeses . Although users have greater similarity with their allies than their friends and nemeses, surprisingly, the allies network does not affect voting behavior, despite being as large as the friends network. In contrast, users are influenced differently by their friends and nemeses, indicating that people use these networks for distinct purposes. We suggest resulting design implications for social content aggregation services and recommender systems. CY - Florence, Italy SN - 978-1-60558-011-1 AD - New York, NY, USA EP - 820 TI - Friends and foes: ideological social networking PB - ACM T2 - CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems SP - 817 KW - social-awareness KW - social-software KW - socialnetwork AU - Brzozowski, Michael AU - Hogg, Tad AU - Szabo, Gabor PY - 2008/// UR - http://dx.doi.org/10.1145/1357054.1357183 ER -