The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Breaching or Building Social Boundaries?: SIDE-Effects of Computer-Mediated Communication
Abstract
Computer-mediated communication (CMC) is sometimes heralded for its power to break down social boundaries and to liberate individuals from social influence, group pressure, and status and power differentials that characterize much face-to-face interaction. We review research conducted within the framework of the social identity model of deindividuation effects (SIDE) demonstrating that this is not always the case. When communicators share a common social identity, they appear to be more susceptible to group influence, social attraction, stereotyping, gender typing, and discrimination in anonymous CMC. Although CMC gives us the opportunity to traverse social boundaries, paradoxically, it can also afford these boundaries greater power, especially when they define self- and group identity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Social Identity Theory of Intergroup Behavior
Tajfel, H., & Turner, J. C. (2004) · Political Psychology · doi:10.4324/9780203505984-16 · Cited by 13,467
On computable numbers, with an application to the entscheidungsproblem
Turing, A. M. (1937) · Proceedings of the London Mathematical Society · doi:10.1112/plms/s2-42.1.230 · Cited by 8,283
A study of normative and informational social influences upon individual judgment.
Deutsch, M., & Gerard, H. B. (1955) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0046408 · Cited by 4,819
Computer-Mediated Communication: Impersonal, Interpersonal, and Hyperpersonal Interaction
WALTHER, J. B. (1996) · Communication Research · doi:10.1177/009365096023001001 · Cited by 4,798 · cited 2×
“Under such circumstances, the CMC medium can be highly socially engaging (Lea & Spears, 1995; Myers, 1987; Rice & Love, 1987) with the potential to become quite intimate or “hyper-personal” ( Walther, 1996 ).”
BackgroundBargh, J. A., Chen, M., & Burrows, L. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.71.2.230 · Cited by 2,736
Social psychological aspects of computer-mediated communication
Kiesler, S., Siegel, J., & McGuire, T. W. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1123 · Cited by 2,630
Stasser, G., & Titus, W. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.48.6.1467 · Cited by 1,850
Panacea or Panopticon?: The Hidden Power in Computer-Mediated Communication
SPEARS, R., & LEA, M. (1994) · Communication Research · doi:10.1177/009365094021004001 · Cited by 705
Self-citationDeindividuation and antinormative behavior: a meta-analysis
Postmes, T., & Spears, R. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.123.3.238 · Cited by 667
Cited by
The Proteus Effect: The Effect of Transformed Self-Representation on Behavior
Yee, N., & Bailenson, J. (2007) · Human Communication Research · doi:10.1111/j.1468-2958.2007.00299.x · Cited by 2,126
Designing Virtual Customer Environments for New Product Development: Toward a Theory
Nambisan, S. (2002) · The Academy of Management Review · doi:10.5465/amr.2002.7389914 · Cited by 1,026
Myers, K. K., & Sadaghiani, K. (2010) · Journal of Business and Psychology · doi:10.1007/s10869-010-9172-7 · Cited by 811
Cyberbullying: Youngsters' experiences and parental perception
Dehue, F., Bolman, C., & Völlink, T. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0008 · Cited by 802
Ybarra, M. L., & Mitchell, K. J. (2004) · Journal of Adolescence · doi:10.1016/j.adolescence.2004.03.007 · Cited by 737
Ongoing and online: Children and youth's perceptions of cyber bullying
Mishna, F., Saini, M., & Solomon, S. (2009) · Children and Youth Services Review · doi:10.1016/j.childyouth.2009.05.004 · Cited by 560
The formation of group norms in computer-mediated communication
Postmes, T., Spears, R., & Lea, M. (2000) · Human Communication Research · doi:10.1093/hcr/26.3.341 · Cited by 557
Self-citationFactors affecting YouTube influencer marketing credibility: a heuristic-systematic model
Xiao, M., Wang, R., & Chan-Olmsted, S. (2018) · Journal of Media Business Studies · doi:10.1080/16522354.2018.1501146 · Cited by 497
Social Influence in Computer-Mediated Communication: The Effects of Anonymity on Group Behavior
Postmes, T., Spears, R., Sakhel, K., & de Groot, D. (2001) · Personality and Social Psychology Bulletin · doi:10.1177/01461672012710001 · Cited by 489
Self-citationTanis, M., & Postmes, T. (2005) · European Journal of Social Psychology · doi:10.1002/ejsp.256 · Cited by 431
Self-citationVirtual Work: Bridging Research Clusters
Raghuram, S., Hill, N. S., Gibbs, J. L., & Maruping, L. M. (2019) · Academy of Management Annals · doi:10.5465/annals.2017.0020 · Cited by 426
Brady, W. J., Crockett, M. J., & Van Bavel, J. J. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620917336 · Cited by 417
Ledbetter, A. M., Mazer, J. P., DeGroot, J. M., Meyer, K. R., Mao, Y., & Swafford, B. (2011) · Communication Research · doi:10.1177/0093650210365537 · Cited by 346
Theocharis, Y., Barberá, P., Fazekas, Z., Popa, S. A., & Parnet, O. (2016) · Journal of Communication · doi:10.1111/jcom.12259 · Cited by 237
Wright, M. F., & Li, Y. (2013) · Aggressive Behavior · doi:10.1002/ab.21470 · Cited by 117
Johnson, S. K., Bettenhausen, K., & Gibbons, E. (2009) · Small Group Research · doi:10.1177/1046496409346448 · Cited by 94
Stranger on the internet: Online self-disclosure and the role of visual anonymity
Misoch, S. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.027 · Cited by 82
Howard, C. D., Barrett, A. F., & Frick, T. W. (2010) · Journal of Educational Computing Research · doi:10.2190/ec.43.1.f · Cited by 78
Persuasive computing: Feeling peer pressure from multiple computer agents
Xu, K., & Lombard, M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.04.043 · Cited by 76
Competing or aiming to be average?: normification as a means of engaging digital volunteers
Preist, C., Massung, E., & Coyle, D. (2014) · Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing · doi:10.1145/2531602.2531615 · Cited by 65
Anonymity and its role in digital aggression: A systematic review
Kim, M., Ellithorpe, M., & Burt, S. A. (2023) · Aggression and Violent Behavior · doi:10.1016/j.avb.2023.101856 · Cited by 56
Stiff, C. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.044 · Cited by 52
Van Oerle, S., Lievens, A., & Mahr, D. (2018) · Psychology & Marketing · doi:10.1002/mar.21111 · Cited by 43
Anonymity in classroom voting and debating
Ainsworth, S., Gelmini-Hornsby, G., Threapleton, K., Crook, C., O’Malley, C., & Buda, M. (2011) · Learning and Instruction · doi:10.1016/j.learninstruc.2010.05.001 · Cited by 38
Carpenter, A. S., Sullivan, J. H., Deshmukh, A., Glisson, S. R., & Gallo, S. A. (2015) · BMJ Open · doi:10.1136/bmjopen-2015-009138 · Cited by 31
Dai, Y. (., & Shi, J. (2022) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmac006 · Cited by 27
Metadata
- Authors
- POSTMES, T., SPEARS, R., & LEA, M.
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 1998-12
- Volume
- 25
- Issue
- 6
- Pages
- 689-715
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W2122225159
- Cited by
- 847
- References
- 9
- FWCI
- 47.39
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.