People > Natalie Bazarova
Natalie Bazarova studies how people communicate and relate to one another in social media. Her recent research focuses on online self-disclosure and privacy, with some of her new papers examining disclosure motivations, interpretations, language of disclosure, and its social and psychological effects. In addition to disclosure, her research interests include attributional judgments, relational processes, intercultural communication, and group decision-making. She can be reached at nnb8@cornell.edu.

Website: bazarova.comm.cornell.edu
Publications
In Press
Bazarova, N. N., & Yuan, C. (in press). Expertise recognition and influence in intercultural groups: Differences between face-to-face and computer-mediated communication. Journal of Computer-Mediated Communication.
Yuan, Y. C., Bazarova, N. N., Fulk, J., & Zhang, Z.-X. (in press). Recognition of expertise and perceived influence in intercultural collaboration: A study of mixed American and Chinese groups. Journal of Communication
Jiang, L. C., Bazarova, N. N., & Hancock, J. T. (2012). From perception to behavior: Disclosure reciprocity and the intensification of intimacy in computer-mediated communication. Communication Research.
Bazarova, N. N., Walther, J. B., & McLeod, P. L. (2012). Minority influence in virtual groups: A comparison of four theories of minority influence. Communication Research.
Bazarova, N. N. (2012). Contents and contexts: Disclosure perceptions on Facebook. Proceedings of the Computer-Supported Cooperative Work Conference (CSCW 2012), February 11-15, 2012.
Bazarova, N.N., & Hancock, J.T. (2012). Attributions after a group failure: Do they matter? Effects of attributions on group communication and performance. Communication Research, 39, 499-522.
Bazarova, N. N. (2012). Public intimacy: Disclosure interpretation and social judgments on Facebook. Journal of Communication.
Bazarova, N. N., Taft, J. G., Choi, Y. H., & Cosley, D. (2012). Managing impressions and relationships on Facebook: Self-presentational and relational concerns revealed through the analysis of language style. Journal of Language and Social Psychology.
Jiang, C. L., Bazarova, N. N., & Hancock, J. T. (2011). The disclosure-intimacy link in computer-mediated communication: An attributional extension of the hyperpersonal model. Human Communication Research.
Birnholtz, J., Guillory, J., Hancock, J.T., & Bazarova, N.N. (2010). “On my way”: Deceptive Texting and Interpersonal Awareness Narratives. Proceedings of the ACM conference on Computer-Supported Cooperative Work (CSCW 2010), 1-4. [Acceptance rate: 20%]
Bazarova, N. N., & Hancock, J. T. (2010). From dispositional attributions to behavior motives: The folk-conceptual theory and implications for communication. In C. Salmon (Ed.), Communication Yearbook 34 , 63-91. Mahwah, NJ: Lawrence Erlbaum Associates.
Bazarova, N. N., & Walther, J. B. (2009). Attribution of blame in virtual groups. In P. Lutgen-Sandvik & B. Davenport-Sypher (Eds.), The destructive side of organizational communication: Processes, consequences, and constructive ways of organizing (pp. 252-266). Mahwah, NJ: Routledge/LEA.
Bazarova, N. N., & Walther, J. B. (2009). Attributions in virtual groups: Distances and behavioral variations in computer-mediated discussions. Small Group Research, 40, 138-162
Hancock, J.T., Birnholtz, J., Bazarova, N., Guillory, J., Amos, B., & Perlin, J. (2009). Butler Lies: Awareness, Deception and Design. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009). (Acceptance Rate: 24.5%)
Walther, J. B., & Bazarova, N. N. (2008). Validation and application of electronic propinquity theory to computer-mediated communication in groups. Communication Research, 35, 622-645.
Walther, J. B., & Bazarova, N. N. (2007). Misattribution in virtual groups: The effects of member distribution on self-serving bias and partner blame. Human Communication Research, 33, 1-26. (Lead article)
Walther, J. B., Bunz, U., & Bazarova, N. (2005). The rules of virtual groups. Proceedings of the 38th Hawaii International Conference on System Sciences.