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Cited by 310

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Towards a Sociological Understanding of Social Media: Theorizing Twitter

Murthy, Dhiraj·2012·Sociology

Abstract

This article presents the first steps towards a sociological understanding of emergent social media. This article uses Twitter, the most popular social media website, as its focus. Recently, the social media site has been prominently associated with social movements in Libya, Egypt, Tunisia, and Algeria. Rather than rush to breathlessly describe its novel role in shaping contemporary social movements, this article takes a step back and considers Twitter in historical and broad sociological terms. This article is not intended to provide empirical evidence or a fully formed theoretical understanding of Twitter, but rather to provide a selected literature review and a set of directions for sociologists. The article makes connections specifically to Erving Goffman’s interactionist work, not only to make the claim that some existing sociological theory can be used to think critically about Twitter, but also to provide some initial thoughts on how such theoretical innovations can be developed.

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Metadata

Authors
Murthy, D.
Venue
Sociology
Published
2012-09-24
Volume
46
Issue
6
Pages
1059-1073
ISSN
  • 0038-0385 (ISSN-L)
  • 1469-8684
OpenAlex
W2070597718
Cited by
310
References
47
FWCI
41.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Towards a Sociological Understanding of Social Media: Theorizing Twitter. https://app.cochat.ai/papers/10.1177/0038038511422553
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Murthy, D. (2012). Towards a Sociological Understanding of Social Media: Theorizing Twitter. Sociology. https://doi.org/10.1177/0038038511422553

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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.