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Cited by 629

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

A familiar face(book): profile elements as signals in an online social network

Lampe, Cliff A.C., Ellison, Nicole, Steinfield, Charles·2007·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, giving designers insight into the importance of the profile and how it works to encourage connections and articulated relationships between users. We describe a theoretical framework that draws on aspects of signaling theory, common ground theory, and transaction costs theory to generate an understanding of why certain profile fields may be more predictive of friendship articulation on the site. Using a dataset consisting of 30,773 Facebook profiles, we determine which profile elements are most likely to predict friendship links and discuss the theoretical and design implications of our findings.

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Crossref · 10.1145/1240624.1240695

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Metadata

Authors
Lampe, C. A. C., Ellison, N., & Steinfield, C.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2007-04-29
Pages
435-444
OpenAlex
W2159730225
Cited by
629
References
7
FWCI
113.44
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A familiar face(book): profile elements as signals in an online social network. https://app.cochat.ai/papers/10.1145/1240624.1240695
The paper
Lampe, C. A. C., Ellison, N., & Steinfield, C. (2007). A familiar face(book): profile elements as signals in an online social network. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1240624.1240695

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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.