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Age Differences in Online Social Networking. Rajiv Arjan Center for HCI Design Ulrike Pfeil Center for HCI Design Panayiotis Zaphiris Center for HCI Design CHI 2008 2008/06/30. Outline. Introduction Methods Discussion Conclusion. Introduction.
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Age Differences in Online Social Networking Rajiv Arjan Center for HCI Design Ulrike Pfeil Center for HCI DesignPanayiotis Zaphiris Center for HCI DesignCHI 2008 2008/06/30
Outline • Introduction • Methods • Discussion • Conclusion
Introduction • This study investigates the differences and similarities of old people and teenagers participating in MySpace.com.
Introduction(Cont.) • In particular, we are interesting in: • Any age-related differences in the number of MySpace friends users have. • Analyzing any age-related differences in the way people represent themselves on MySpace.
Methods • Development of automated web crawlers:We collected random profile IDs of 50 teenage users and 50 older users. • Content Analysis:We then conducted a content analysis on the “About Me”.
Methods(cont.) • The actual quantitative analysis was done using the “LIWC”(Linguistic Inquiry Word Count) tool. • LIWC is a contextual analysis tool which calculates the degree to which people use different categories of words.
Methods(cont.) • Self reference • Social words • Positive emotion words • Negative emotion words • Overall cognitive words • Articles • Big words
Discussion • Age-related differences of friend network:
Discussion(cont.) • The results indicate that teenagers most have friends age 16-18 and the mean number of friends is 95. • Old people tend to have friends from various age groups.The total number of friends we found that older people have on average 18 friends.
Discussion(cont.) • Age-related differences in the self-representation:
Discussion(cont.) • The results indicated that teenagers use more self references, negative emotions, and cognitive words. • Older people use more articles and big words than teenagers.
Conclusion • We identified significant differences between the friend networks of teenagers and older users. • We also identified age-related differences in the way people verbally present themselves online.