English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

As we begin to witness a new phase in the integration of digital social media platforms with educational institutions, we ought to ask how learning exchanges may be altered as a result. Looking to transformations in knowledge exchanges outside of formal education, we find that these technologies have already modified the ways in which communities engage with each other. Gerlitz and Helmond explain that the Like Economy built into all major social media platforms flattens exchanges between users to engagement metrics. With online communities increasingly isolated from each other thanks to inscrutable recommendation algorithms, the most frequent cross-community exchanges manifest in outbursts of rage, producing a so-called ‘Dislike Society’. Practitioners would rather briefly unite to tear down other ways of living than to build new ones. Within the Dislike Society, any form of knowledge that could shape new communities is lost to the governance of algorithms in what Bernard Stiegler calls ‘proletarianisation’. To re-apply knowledge to the improvement of life, as suggested by Whitehead, the attention of learners needs to be shaped in response to new technological conditions. This is best achieved within the educational institutions that now face a reorganisation by the same companies that brought us the Dislike Society.

Education and the dislike society: The impossibility of learning in filter bubbles