2003
DOI: 10.1207/s1532785xmep0501_4
|View full text |Cite
|
Sign up to set email alerts
|

Sex Categorization in Computer Mediated Communication (CMC): Exploring the Utopian Promise

Abstract: Cue-lean media lack the physical information people traditionally rely on for social status attributions. It is possible the absence of this visible physical information reduces the influence of categorizations such as biological sex. If this were true, then cue-lean media may facilitate more egalitarian participation in interactions where all voices are equal (These predictions are part of what has been called the utopian promise of cue-lean media. At the same time, these social status attributions are mental… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
30
0

Year Published

2006
2006
2024
2024

Publication Types

Select...
5
2
2

Relationship

1
8

Authors

Journals

citations
Cited by 43 publications
(32 citation statements)
references
References 44 publications
2
30
0
Order By: Relevance
“…Nowak and Rauh (2005) found that participants reported a preference for gendered (highly masculine or feminine) avatars, that users preferred to select avatars with the same gender, and that androgyny reduced both homophily and a person's likelihood to choose an avatar. This finding is consistent with other research, which has shown that sex categorization remains salient in computer mediated interactions (Cherny, 1994;Cornetto & Nowak, 2006;Herring, 2000;Nowak, 2003). Making attributions of gender online may reflect people's desire to categorize others, which the viewer may use to categorize and make predictions about how the avatar, or the person behind it, is likely to behave in the future.…”
Section: Gender As a Viewer Perception Of Sourcesupporting
confidence: 89%
“…Nowak and Rauh (2005) found that participants reported a preference for gendered (highly masculine or feminine) avatars, that users preferred to select avatars with the same gender, and that androgyny reduced both homophily and a person's likelihood to choose an avatar. This finding is consistent with other research, which has shown that sex categorization remains salient in computer mediated interactions (Cherny, 1994;Cornetto & Nowak, 2006;Herring, 2000;Nowak, 2003). Making attributions of gender online may reflect people's desire to categorize others, which the viewer may use to categorize and make predictions about how the avatar, or the person behind it, is likely to behave in the future.…”
Section: Gender As a Viewer Perception Of Sourcesupporting
confidence: 89%
“…These social cues influence impressions about communicators and the meaning of their message (Daft and Lengel 1984;Latané 1984;Nowak 2003;Sproull and Kiesler 1986;Tanis and Postmes 2003;Wellens 1986Wellens , 1989. Tanis and Postmes (2003) found that social cues are significant factors in impression formation.…”
Section: Virtual Communication and Negotiationmentioning
confidence: 99%
“…Instead of focusing on the status of the other individual, women in virtual negotiation may be more likely to concentrate on the content of the interaction (Nowak 2003;Ridgeway 2001). Recall also that psychological distance theory predicts that virtual negotiations lessen the social influence of the other communicator (Latane 1984;Wellens 1986Wellens , 1989.…”
Section: Gender Roles and Negotiator Rolesmentioning
confidence: 99%
“…For example, there is evidence that internet dating agencies and bulletin boards are increasingly being used to meet other persons and, at times, to subsequently have sex Bull et al, 2001;Halkitis & Parsons, 2003). Using internet personal ads, bulletin boards, and chat rooms, people get information and make decisions about a potential partner in computer mediated communication (Nowak, 2003) even though the "information" about the potential partner may be exaggerated or falsified (Knox et al, 2001). Public health researchers predict that relationships arranged through the internet will contribute to the spread of sexually transmitted diseases (STD) .…”
Section: Introductionmentioning
confidence: 99%