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Cited by 416

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Feed me: motivating newcomer contribution in social network sites

Burke, Moira, Marlow, Cameron, Lento, Thomas·2009·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to contribute more content. However, user motivations for contribution in SNS are not well understood. This is particularly true for newcomers, who may not recognize the value of contribution. Using server log data from approximately 140,000 newcomers in Facebook, we predict long-term sharing based on the experiences the newcomers have in their first two weeks. We test four mechanisms: social learning, singling out, feedback, and distribution.

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Metadata

Authors
Burke, M., Marlow, C., & Lento, T.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2009-04-04
Pages
945-954
OpenAlex
W2151572696
Cited by
416
References
10
FWCI
49.95
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Feed me: motivating newcomer contribution in social network sites. https://app.cochat.ai/papers/10.1145/1518701.1518847
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Burke, M., Marlow, C., & Lento, T. (2009). Feed me: motivating newcomer contribution in social network sites. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1518701.1518847

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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