Decoding algorithms.
In this article, we propose to adapt the communication theory concept of 'decoding' as a sensitizing device to probe how people come to know and understand algorithms, what they imagine algorithms to do, and their valorization of and responses to algorithmic work in daily media use. We posit the con...
| Publicado en: | Media, Culture & Society Vol. 42; no. 5; pp. 745 - 762 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sage Publications, Ltd.
Jul2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=144621360&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 144621360 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01634437 MCS jtl: Media, Culture & Society issn: 01634437 maglogo: Y pubinfo: dt: Jul2020 vid: 42 iid: 5 pid: 2171 pub: Sage Publications, Ltd. artinfo: ui: 144621360 10.1177/0163443719855301 ppf: 745 ppct: 17 formats: tig: atl: Decoding algorithms. aug: au: Lomborg, Stine Kapsch, Patrick Heiberg affil: University of Copenhagen, Denmark su: Digital media Communicative action Everyday life Decoding algorithms sug: subj: Digital media Communicative action Everyday life Internet Publishing and Broadcasting and Web Search Portals Decoding algorithms keyword: algorithms circumventing algorithmic profiling communicative agency encoding/decoding tactics algorithms circumventing algorithmic profiling communicative agency encoding/decoding tactics ab: In this article, we propose to adapt the communication theory concept of 'decoding' as a sensitizing device to probe how people come to know and understand algorithms, what they imagine algorithms to do, and their valorization of and responses to algorithmic work in daily media use. We posit the concept of decoding as useful because it highlights a feature that is constitutional in communication: gaps that must be filled by mobilizing our semiotic and socio-cultural knowledge in processes of interpretation before any communication becomes meaningful. If we cannot open the black box itself, we can study the relationships that people experience with algorithms, and by extension how and to what extent these experienced relationships become meaningful and are interwoven with users' reflections of power, transparency, and justice in digital media. We demonstrate the potential of approaching algorithmic experience as communicative practices of decoding through an exploratory empirical study of how people from different walks of life come to know, feel, evaluate, and do algorithms in daily life. We unpack three prototypical modes of decoding algorithms – along preferred, negotiated, and oppositional modes of engagement with algorithms in daily life. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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