Title

Informing our own choices: A proposal for user-generated classification

Date of this Version

2009

Document Type

Journal Article

Publication Details

Interim status: Citation only.

Brand, J., & Finn, M. (2009). Informing our own choices: A proposal for user-generated classification. Media international Australia incorporating culture and policy: Quarterly journal of media research and resources. Computer games: Co-creation and regulation (MIA), 130, 112-126.

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2009 HERDC submission. FoR code: 1902; 2001

© Copyright Media International Australia 2009

Abstract

New media are distrusted media, and computer games are the contemporary currency in new media. Computer game content, like other popular media content, is regulated in different jurisdictions by one of three general models: the open market in which consumption decides the availability of product, industry self-regulation in which industry bodies decide, and government regulation in which government or quasi-governmental bodies decide. Arguably, these models represent the twentieth century state of the art and fail to keep pace with changes in the aesthetics and technologies associated with interactive entertainment. In a networked economy, alternative models exist to serve content gatekeeping functions, and they serve to close the lags and limitations that plague existing models. These alternatives include innovations such as user-generated classification and dynamic meta-tagging. This paper examines current classification approaches and their limitations, and presents alternative approaches with a hypothetical game title.

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This document has been peer reviewed.