Visible to the public Attribution Apprehension, Automated Attribution, and Creative Integration

TitleAttribution Apprehension, Automated Attribution, and Creative Integration
Publication TypeConference Paper
Year of Publication2017
AuthorsJavadi, Elahe, Lai, Jianwei
Conference NameCompanion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4688-7
Keywordsattribute-based encryption, attribution apprehension, automated attribution, Collaboration, creative integration, fairness, Human Behavior, human factors, policy-based governance, pubcrawl, Scalability
Abstract

Some online communities are better than others in standardizing and automating the attribution process. This study examines how automated attribution can alleviate attribution apprehension and thus facilitate creative integration in open communities. Attribution apprehension, i.e., a user's anxiety over proper attribution of reused artifacts, adversely impacts the tendencies to engage in the integration process. Because open communities thrive on the basis of fairness, automated attribution features are essential in fostering creative integration. This study draws upon task-technology fit to craft a theoretical framework for explaining this phenomenon, reviews current tools for automated attribution in different communities and describes findings of a pilot survey on how those tools can encourage creative integration.

URLhttps://dl.acm.org/citation.cfm?doid=3022198.3026325
DOI10.1145/3022198.3026325
Citation Keyjavadi_attribution_2017