Content Analysis of the World Wide Web

By Christopher Weare, Wan-Ying Lin. 2000

338 citations recorded by the source corpus.

Subfields: Information Systems, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a4505ff4df3c7d12d4477b2b6d8a1be48697a15a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Amrul Asraf Mohd‐Any
2. Kimberly A. Neuendorf
3. Heidi Winklhofer
4. Susan C. Herring
5. C. Ennew

In Sociology and Political Science

1. Amrul Asraf Mohd‐Any
2. Kimberly A. Neuendorf
3. Heidi Winklhofer
4. Susan C. Herring
5. C. Ennew

In Statistical and Nonlinear Physics

1. Amrul Asraf Mohd‐Any
2. Kimberly A. Neuendorf
3. Heidi Winklhofer
4. Susan C. Herring
5. C. Ennew

Citations in the corpus

• Content Analysis—A Methodological Primer for Gender Research (2011, background): “This fluidity may arise from changing content, such as web sites that are frequently updated (McMillan 2000; Weare and Lin 2000) and evolving social networking content (Patchin and Hinduja 2010).”
• Measuring Users’ Value Experience on a Travel Website (e-Value) (2015, methodology): “Following guidance provided by Weare and Lin (2000), our sampling frame was initially based on popularity of a website and then cross-checked via a search engine.”
• Web Content Analysis: Expanding the Paradigm (2009, methodology): “Moreover, the dynamic nature and sheer number of units of internet analysis makes random sampling infeasible in many cases, as McMillan and others (e.g., Schneider & Foot, 2004; cf. Weare & Lin, 2000) have also noted.”