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Cited by 306

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Content Analysis of the World Wide Web: Opportunities and Challenges

Weare, Christopher, Lin, Wan-Ying·2000·Social Science Computer Review

Abstract

This article examines methodological issues for content analytic research of the World Wide Web. The outline of content analysis as a systematic and quantitative scientific method for measuring the content of messages have existed for centuries. Nevertheless, its development and diffusion have been primarily spurred by the rise of mass media, newspapers in the 19th century and electronic media in the 20th century. The growth of the Internet promises to induce a similar expansion of its use and refinement of its techniques. The World Wide Web is characterized by its ubiquity, global reach, interactivity, decentralized, hyperlinked structure, and multimedia format. All of these characteristics present researchers with opportunities and challenges at each step of a content analysis: sampling, unitization, development of content categories, coding, and analysis. Based on a review of recent content analytic research, this article analyzes these issues and suggests methodological improvements for future research.

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Metadata

Authors
Weare, C., & Lin, W.-Y.
Venue
Social Science Computer Review
Published
2000-08
Volume
18
Issue
3
Pages
272-292
ISSN
  • 0894-4393 (ISSN-L)
  • 1552-8286
OpenAlex
W1989623757
Cited by
306
References
25
FWCI
24.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Content Analysis of the World Wide Web: Opportunities and Challenges. https://app.cochat.ai/papers/10.1177/089443930001800304
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Weare, C., & Lin, W.-Y. (2000). Content Analysis of the World Wide Web: Opportunities and Challenges. Social Science Computer Review. https://doi.org/10.1177/089443930001800304

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.