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Understanding content audit practices : a content analysis of experts' literature / Isabelle Sperano.
- Format:
- Book
- Author/Creator:
- Sperano, Isabelle, author.
- Series:
- SAGE Research Methods. Cases.
- SAGE Research Methods. Cases
- Language:
- English
- Subjects (All):
- Internet research.
- Information resources--Use studies.
- Information resources.
- Information resources management--Methodology.
- Information resources management.
- Physical Description:
- 1 online resource : illustrations.
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Summary:
- For 20 years, the Web has emerged as the favored mode of communication by a variety of organizations (governments, businesses, etc.) to deliver a substantial amount of information to their recipients. The proper implementation of these imposing informational structures depends, inter alia, on information and communication specialists in various fields of expertise, including information architecture, responsible for the organization and the structuration of information. Insofar as access to information is the main purpose of most research activities on the Web, information architecture specialists pay special attention to content. To do so, different methods intended to provide a better understanding of content have emerged in recent years. Content audit is one of them. Considered by many specialists as indispensable, this expert method aims to identify, count, describe, and evaluate content of a website by confronting it to a list of criteria (e.g., genre, style, relevance). Currently, research about this method is rare, if non-existent. Content audit is, however, extensively described and commented by practitioners. This is what led us to examine a corpus of experts' literature on content audit (book, Web documents, scientific articles). By carrying out a content analysis of professional literature on content audit, our research aims to better understand expert's discourse.
- Notes:
- Includes bibliographical references and index.
- Description based on XML content.
- ISBN:
- 1-5264-7978-8
- 9781526479785
- OCLC:
- 1084590063
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