Junia C. Anacleto
Fernando C. Balbino
Andre O. Bueno
ABSTRACT
We propose a three-step method to identify people in social networks sites (SNS) who are talking about the same topics, even though they may be from different cultural backgrounds. Our method uses a cultural knowledge base from the OMCS-Br project to normalize cultural differences and find common interest among users based on statements they make various topics in a SNS. We evaluated three initial phrases that were used to search for sentences in a large social network using the cultural translation; we found that 81% of the retrieved sentences were judged to be related to the initial phrases. Thus, we have evidence that cultural normalization can support finding people talking about the same topic in a SNS even when they have different ways of saying the same thing. We believe that these culturally translated similarities can be used in a recommender system to contribute to the formation of homophilous online communities.
- Rogers, E.M. Diffusion of Innovations. 5th ed. New York, Free Press, 2003.Google Scholar
- De Choudhury, M. et al. "Birds of a Feather": Does User Homophily Impact Information Diffusion in Social Media? (2010) http://arxiv.org/abs/1006.1702v1, last access on January 4th, 2011.Google Scholar
- Anacleto, J. C. et al. "Can common sense uncover cultural differences in computer applications?" In: BRAMER, M. Artificial intelligence in theory and practice. Berlin: Springer-Verlag, 2006. v.217, p1--10.Google Scholar
- Finin, T. et al. Social networking on the semantic web. The Learning Organization: An International Journal, Emerald (ed), v.12, n.5, p.418--435, May 2005.Google Scholar
- Astolfi, G. et al. Understanding Cultural Differences to Identify People with Common Interest in Social Network. IN WAIHCWS'10, Brazil, October 2010.Google Scholar
- Nunes, M. A. et al. Towards user psychological profile. In Proc. IHC'08. ACM International Conference Proceeding Series, vol. 378. SBC, Brazil, 2008. Google ScholarDigital Library
- Chen, J. et al. 2009. Make new friends, but keep the old: recommending people on social networking sites. In Proc. CHI 2009, April 2009, Boston, MA, USA. Google ScholarDigital Library
- Bick, E. The Parsing System "PALAVRAS": Automatic Grammatical Analysis of Portuguese in a Constraint Grammar Framework. PhD thesis, Dept. of Linguistics. University of Arhus, DK, 2000. 505p.Google Scholar
Index Terms
- A cultural knowledge-based method to support the formation of homophilous online communities
Recommendations
SoS: um algoritmo para identificar pessoas homófilas em redes sociais com o uso da tradução cultural
IHC '12: Proceedings of the 11th Brazilian Symposium on Human Factors in Computing SystemsSocial networking sites have grown very recently, allowing the formation and maintenance of online communities. We believe online communities formed by homophile people tend to have more active members. Homophily refers to the degree of similarity ...
Investigating Homophily in Online Social Networks
WI-IAT '10: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01Similarity breeds connections, the principle of homophily, has been well studied in existing sociology literature. %Several studies have observed this phenomena by conducting surveys on human subjects. These studies have concluded that new ties are ...
Winds of Change: Seeking, Preserving, and Retelling Indigenous Knowledge Through Self-Organized Online Communities
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing SystemsTechnology has provided an environment for connecting indigenous community members and provide a means for them to seek and engage with their indigenous knowledge (IK). Emerging research has examined the effects of social media on specific IK, including ...
Comments