Conference proceeding
Information Fortification: An Online Citation Behavior
Proceedings of the 2018 ACM Conference on supporting groupwork, pp 83-92
07 Jan 2018
Abstract
In this multi-method study, we examine citation activity on English-language Wikipedia to understand how information claims are supported in a non-scientific open collaboration context. We draw on three data sources-edit logs, interview data, and document analysis-to present an integrated interpretation of citation activity and found pervasive themes related to controversy and conflict. Based on this analysis, we present and discuss information fortification as a concept that explains online citation activity that arises from both naturally occurring and manufactured forms of controversy. This analysis challenges a workshop position paper from Group 2005 by Forte and Bruckman, which draws on Latour's sociology of science and citation to explain citation in Wikipedia with a focus on credibility seeking. We discuss how information fortification differs from theories of citation that have arisen from bibliometrics scholarship and are based on scientific citation practices.
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Details
- Title
- Information Fortification
- Creators
- Andrea Forte - Drexel UniversityNazanin Andalibi - Drexel UniversityTim Gorichanaz - Drexel UniversityMeen Chul Kim - Drexel UniversityThomas Park - Drexel UniversityAaron Halfaker - Wikimedia Foundation
- Publication Details
- Proceedings of the 2018 ACM Conference on supporting groupwork, pp 83-92
- Conference
- 2018 ACM Conference on supporting groupwork
- Series
- GROUP '18
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001061565100009
- Scopus ID
- 2-s2.0-85054794347
- Other Identifier
- 991019173577704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications