• DOI:10.1177/1360780418763824
Corpus ID: 149367030

Redefining Filter Bubbles as (Escapable) Socio-Technical Recursion

@article{Davies2018RedefiningFB,
  title={Redefining Filter Bubbles as (Escapable) Socio-Technical Recursion},
  author={Huw C. Davies},
  journal={Sociological Research Online},
  year={2018},
  volume={23},
  pages={637 - 654}
}

• Huw C. Davies
• Published 2018
• Computer Science
• Sociological Research Online

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 a threat to deliberative democracy, we are told there is relatively little evidence to substantiate its existence. This article draws on a case study to argue that this is because the existing… Expand

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