Author's Keywords: computer-mediated communication, sex categorization, usernames	Convention All Academic Convention makes running your annual conference simple and cost effective. It is your online solution for abstract management, peer review, and scheduling for your annual meeting or convention. Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: International Communication Association URL: http://www.icahdq.org
Citation: URL: http://www.allacademic.com/meta/p111737_index.html Direct Link: HTML Code:

Nowak, Kristine. and Cornetto, Karen. "Utilizing Usernames for Sex Categorization in CMC: Examining Perceptions and Accuracy" Paper presented at the annual meeting of the International Communication Association, Marriott Hotel, San Diego, CA, May 27, 2003 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p111737_index.html>

Nowak, K. and Cornetto, K. M. , 2003-05-27 "Utilizing Usernames for Sex Categorization in CMC: Examining Perceptions and Accuracy" Paper presented at the annual meeting of the International Communication Association, Marriott Hotel, San Diego, CA <Not Available>. 2009-05-26 from http://www.allacademic.com/meta/p111737_index.html

Publication Type: Conference Paper/Unpublished Manuscript Review Method: Peer Reviewed Abstract: As more interpersonal interactions move online, people increasingly get to know and recognize one another by their self-selected identifiers called usernames. Early research predicted that the lack of cues would make primitive categories such as biological sex irrelevant in computer-mediated interactions. Little is known about the types of perceptions people make about one another based on this information, but research has shown that questions about gender are the first to be asked in online interactions and sex categorization has maintained salience. The current project was designed to examine the extent to which individuals might include obvious gender information in their usernames, as well as how easily gender could be attributed from usernames. Seventy-five coders were asked whether or not they could assign 298 people to a sex category based only on their username, and then to rate how confident they were in making the attribution. Results indicated that coders were fairly inaccurate in making these attributions, but moderately confident. Additionally, the results indicated that neither women nor men were more accurate in attributing gender from usernames, and that neither women nor men tended to use more obvious gender markers in their usernames. Additionally, those who did use obvious gender markers in their username tended to have less experience with computer chat. The results are discussed in conjunction with the limitations of the present investigation, and possibilities for future research.

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