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Cited by 344

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources on Twitter During the Tunisian and Egyptian Revolutions

Open access
Hermida, Alfred, Lewis, Seth C., Zamith, Rodrigo·2014·Journal of Computer-Mediated Communication

Abstract

News sourcing practices are critical as they shape from whom journalists get their information and what information they obtain, mostly from elite sources. This study evaluates whether social media platforms expand the range of actors involved in the news through a quantitative content analysis of the sources cited by NPR's Andy Carvin on Twitter during the Arab Spring. Results show that, on balance, nonelite sources had a greater representation in the content than elite sources. Alternative actors accounted for nearly half of the messages. The study points to the innovative forms of production that can emerge with new communication technologies, with the journalist as a central node trusted to authenticate and interpret news flows on social awareness streams.

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Metadata

Authors
Hermida, A., Lewis, S. C., & Zamith, R.
Venue
Journal of Computer-Mediated Communication
Published
2014-03-19
Volume
19
Issue
3
Pages
479-499
ISSN
1083-6101 (ISSN-L)
OpenAlex
W2137036016
Cited by
344
References
53
FWCI
115.26
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources on Twitter During the Tunisian and Egyptian Revolutions. https://app.cochat.ai/papers/10.1111/jcc4.12074
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Hermida, A., Lewis, S. C., & Zamith, R. (2014). Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources on Twitter During the Tunisian and Egyptian Revolutions. Journal of Computer-Mediated Communication. https://doi.org/10.1111/jcc4.12074

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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.