집합지성과 네티즌 번역 특징에 관한 탐색적 사례 연구
An Exploratory Case Study of Netizen Translations: Their Collective Intelligence Types and Role Segregations
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Web 2.0, which refers to an internet environment characterized by openness, participation, and sharing, is now changing who translates (in that it is not just professional translators, but the general public that translates), how (in that collective intelligence is used) and what translations look like (in that there are various degrees of freedom in selection of font sizes, styles and colors and contents fortranslation). Translation in cyberspace is carried out in varying degrees of collaboration. Sometimes, they build Youtube-type translation archives where individuals contribute their own translations to be viewed, enjoyed, and given feedback on by other users. And sometimes, they translate in collaboration from the beginning. The TED Open Translation Project is a good example of the latter. This paper intends to answer the following research question: What types of collective intelligence do netizens engage in to translate on Web 2.0, and how do the types of collective intelligence affect the translation outcomes?In order to answer the question, five well-known websites for translation using collective intelligence were identified and classified based on the degree of collaboration and translator/commissioner roles played by netizens and studied to see if there are differences in the translation outputs. It turned out that the stronger and more active the collaboration is among netizens, the lesser degree of freedom in the choice of font sizes, styles, and colors netizens have when translating. In websites where the same netizens play both commissioner and translator roles, the greater degree of freedom they have in choosing, changing, and editing the contents for translation, for example, selective translations where netizens translate only those parts of a certain text they want to, do gist translations, or add their own ideas to their translations.
Abstract
Web 2.0, which refers to an internet environment characterized by openness, participation, and sharing, is now changing who translates (in that it is not just professional translators, but the general public that translates), how (in that collective intelligence is used) and what translations look like (in that there are various degrees of freedom in selection of font sizes, styles and colors and contents fortranslation). Translation in cyberspace is carried out in varying degrees of collaboration. Sometimes, they build Youtube-type translation archives where individuals contribute their own translations to be viewed, enjoyed, and given feedback on by other users. And sometimes, they translate in collaboration from the beginning. The TED Open Translation Project is a good example of the latter. This paper intends to answer the following research question: What types of collective intelligence do netizens engage in to translate on Web 2.0, and how do the types of collective intelligence affect the translation outcomes?In order to answer the question, five well-known websites for translation using collective intelligence were identified and classified based on the degree of collaboration and translator/commissioner roles played by netizens and studied to see if there are differences in the translation outputs. It turned out that the stronger and more active the collaboration is among netizens, the lesser degree of freedom in the choice of font sizes, styles, and colors netizens have when translating. In websites where the same netizens play both commissioner and translator roles, the greater degree of freedom they have in choosing, changing, and editing the contents for translation, for example, selective translations where netizens translate only those parts of a certain text they want to, do gist translations, or add their own ideas to their translations.
참고문헌 (31)
- 강지혜, "인터넷 상에서의 번역에 관한 고찰: 누리꾼들의 정치참여로서의 번역을 중심으로", 통역과 번역, 14(2), pp.1~33 (2012), 한국통역번역학회
- 박혜수, "사이버 공간에서의 집단지성에 관한 연구 : 위키피디아와 네이버 지식iN 비교 분석", 석사, 영상미디어학, pp.2008
- 이지민, "웹 2.0 시대의 네티즌 번역에 관한 연구: TED Open Translation Project를 중심으로", 박사, pp.2014
- 최항섭, "레비의 집단지성: 대중지성을 넘어 전문가지성의 가능성 모색", 사이버커뮤니케이션학보, 26(3), pp.287~322 (2009), 사이버커뮤니케이션학회
- 황주성, "집단지성의 유형에 따른 참여자 특성분석: 위키백과와 지식iN에 대한 한미 비교연구", 사이버커뮤니케이션학보, 27(4), pp.257~301 (2010), 사이버커뮤니케이션학회
- Baym, N., "The Handbook of Internet Studies", pp.384~405 (2011), Wiley-Blackwell
- Bruns, A., "The Wealth of Networks : How Social Production Transforms Markets and Freedom" (2008), Yale University Press
- "The translation crowd. Revista tradumatica" (2010)[URL]
- Cronin M., "Translation in the Digital Age" (2013), Routledge
- Depalma, D. A., "Translation for, for and by people" (2008), Common Sense Advisory Board
- "Back to the Future in Subtitling. In MuTra Conference Proceedings" (2005)[URL]
- Díaz Cintas, J., "Fansubs: audiovisual translation in an amateur environment", The Journal of Specialised Translation, 6, pp.37~52 (2006)
- Diaz Cintas, J., "Audiovisual Translation : Subtitling" (2007), St. Jerome Publishing
- Dutton, W. H., "The wisdom of collaborative network organizations : capturing the value of networked individuals", Prometheus, 26(3), pp.211~230 (2008)
- Fernández Costales, A., "Collaborative translation revisited : Exploring the rationale and motivation for volunteer translation", Forum, 10(1), pp.115~142 (2012)
- Ferrer Simo, M. R., "Fansubs y scanlations : a influencia del aficionado en los criterios profesionales", Puentes, 6, pp.27~44 (2005)
- Garcia, I., "The proper place of professionals (and non-professionals and machins) in web translation", Tradumatica, 8 (2010)
- "Netizens: On the history and impact of usenet and the internet" (1997)[URL]
- Howe, J., "The rise of crowdsourcing", Wired, 14(6) (2006)
- Leadbeater, C., "집단지성이란 무엇인가" (2009), 21세기북스
- Levy, P., "집단지성: 사이버 공간의 인류학을 위하여" (2002), 문학과 지성사
- McDonough Dolmaya, J., "Analyzing the Crowdsourcing Model and Its Impact on Public Perceptions of Translation", The Translator, 18(2), pp.167~191 (2012)
- Mills, J. A., "Encyclopedia of Case Study Research" (2010), SAGE Publications Inc
- Nord, C., "Skopos, loyalty and translational conventions", Target, 3(1), pp.91~109 (1991)
- "For an abusive subtitling (subtitles of motion pictures)" (1999)[URL]
- O'Hagan, M., "Evolution of user-generated translation : Fansubs, translation hacking and crowdsourcing", The Journal of Internationalization and Localization, 1(1), pp.94~121 (2009)
- Perez-Gonzalez, L., "Fansubbing anime : Insights into the ‘butterfly effect’ of globalization on audiovisual translation", Perspectives: Studies in Translatology, 14(4), pp.260~277 (2006)
- Perrino, S., "User-generated translation: The future of translation in a Web 2.0 environment", The Journal of Specialized Translation (2009)
- "Translation research terms: a tentative glossary for moments of perplexity and dispute" (2011)[URL]
- Snell-Hornby, M., "The Turns of Translation Studies : New paradigms or shifting viewpoints?" (2006), John Benjamins
- Vermeer, H.J., "Translation Studies Reader", pp.221~232 (2000), Routledge