Netiquette as Digital Social Norms

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The article describes an approach of systematic, rule guided qualitative text analysis, which tries to preserve some methodological strengths of quantitative content analysis and widen them to a concept of qualitative procedure. First the development of content analysis is delineated and the basic principles are explained (units of analysis, step models, working with categories, validity and reliability). Then the central procedures of qualitative content analysis, inductive development of categories and deductive application of categories, are worked out. The possibilities of computer programs in supporting those qualitative steps of analysis are shown and the possibilities and limits of the approach are discussed. URN: urn:nbn:de:0114-fqs0002204 Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, Vol 1, No 2 (2000): Qualitative Methods in Various Disciplines I: Psychology

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A Focus Theory of Normative Conduct: A Theoretical Refinement and Reevaluation of the Role of Norms in Human Behavior

Robert B Cialdini, Carl A. Kallgren, Raymond Reno (1991)

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Reducing Social Context Cues: Electronic Mail in Organizational Communication

Lee Sproull, Sara Kiesler (1986)

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Author and article information

Contributors

Maxi Heitmayer: (View ORCID Profile)

Robin Schimmelpfennig: (View ORCID Profile)

Journal

Title: International Journal of Human–Computer Interaction

Abbreviated Title: International Journal of Human–Computer Interaction

Publisher: Informa UK Limited

ISSN (Print): 1044-7318

ISSN (Electronic): 1532-7590

Publication date (Electronic): March 19 2023

Pages: 1-21

Affiliations

[1 ]Department of Psychological and Behavioural Science, London School of Economics and Political Science, London, UK

[2 ]Fashion Business School, London College of Fashion, University of the Arts London, London, UK

[3 ]Faculty of Business and Economics, Department of Organizational Behavior, University of Lausanne, Lausanne, Switzerland

Article

DOI: 10.1080/10447318.2023.2188534

SO-VID: 7fe1bba2-207f-4a6e-bdd7-533aae98649e

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http://creativecommons.org/licenses/by-nc-nd/4.0/

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