Publication | Closed Access
Electronic Bulletin Boards and “Public Goods” Explanations of Collaborative Mass Media
145
Citations
12
References
1993
Year
Digital MarketingContent CreationInformation SharingCommunicationJournalismMedia StudiesMedia SystemsInteractive JournalismSocial MediaElectronic Bulletin BoardsManagementContent AnalysisWeb-based CollaborationMedia InstitutionsCollaborative MediaCollaborative Mass MediaUser-generated ContentMedia DistributionDigital MediaInformation ManagementMarketingMass CommunicationArtsSocial InformaticsMass Communications Medium
Collaborative mass media combine audience participation as both source and receiver, and theories of discretionary database contributions and critical mass explain their success. The study integrated predictions from discretionary database and critical mass theories using a national survey of public electronic bulletin board systems. The authors documented electronic bulletin board use and compared the two theories’ predictions about collaborative media success. Contribution levels and adoption rates correlated with symmetry in user participation; content diversity correlated with contribution but not adoption, offering limited support for discretionary database theory.
Collaborative mass media are a new type of mass communications medium in which the audience acts both as the source and the receiver of the message. Theories of discretionary data base contributions and critical mass theory offer parallel explanations for the success of collaborative media. The present research integrated the predictions of these two perspectives in the context of a national survey of public electronic bulletin board systems. The study documented the nature and extent of electronic bulletin board use and compared predictions about the success of collaborative media based on the two theoretical perspectives. File contribution levels and system adoption rates were both found to be directly related to a measure of symmetry in user participation. Content diversity was directly related to contribution levels, but not to overall adoption levels. The results provided limited support for discretionary data base theory.
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