Gender Language Style and Group Composition in Internet Discussion Groups

By Victor Savicki, Dawn Lingenfelter, Merle Kelley. 2006

153 citations recorded by the source corpus.

Subfields: Communication, Education, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/ee7a942dc1ab10ffcfeed5754d59d37a975e8f8c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. David Gefen
2. Catherine M. Ridings
3. Bay Arinze
4. Daantje Derks
5. Nick Hajli
6. Yao-bin Lu
7. Chao-Min Chiu
8. Ling Zhao

In Education

1. Daantje Derks
2. Agneta H. Fischer
3. Arnold B. Bakker
4. M. Tims
5. Evangelia Demerouti

In Human-Computer Interaction

1. Arjan E. R. Bos
2. Daantje Derks
3. David Gefen

Citations in the corpus

• The role of emotion in computer-mediated communication: A review (2008, background): “On the other hand, researchers embracing a social identity framework, like the Social Identity of Deindividuation Effects (SIDE) model (Lea & Spears, 1991; Lea, O'Shea, Fung, & Spears, 1992; Reicher, Spears, & Postmes , 1995; Spears & Lea, 1992, 1994), have emphasized the social nature of CMC.”
• A field study of the impact of gender and user's technical experience on the performance of voice-activated medical tracking application (2004, background): “Women, on the other hand, may fare well on talk related to maintaining relationship and developing intimacy (Savicki et al., 1996; Lee, 2003).”
• Psychological Barriers: Lurker and Poster Motivation and Behavior in Online Communities (2006, background): “Although other researchers have combined analysis of different types of virtual communities together (Savicki et al., 1996; Ridings et al., 2002; Preece et al., 2004; Herring et al., 2005), this technique may not be ideal, and future research in this area should examine lurkers in specific types of ”