How to escape personalised algorithms and read more widely

Online, most of our reading is ‘personalised.’ This means that the articles we discover through search engines and social feeds are driven by that prioritise authoritative pages, demote low-quality content, and rank pieces following a like-like logic: what you liked in the past is what you get recommended in the future.

 

Curated from www.thebookseller.com

How good is algorithmic, personalised learning really? It might be stopping us from reading more widely . . .

   

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