Redefining filter bubbles as (escapable) socio-technical recursion
Personalisation of media content is not a new phenomenon. Now, however, by configuring our search results and data feeds, algorithms that ‘learn’ from our digital footprint are determining what we see and hear. Pariser calls this the ‘Filter Bubble Effect’. Yet, despite concerns that this effect is...
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| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
SAGE Publications
2018
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