Coping with Algorithmic Risks

نویسندگان

چکیده

Algorithmic selection is omnipresent in various domains of our online everyday lives: it ranks search results, curates social media news feeds, or recommends videos to watch and music listen to. This widespread application algorithmic on the internet can be associated with risks like feeling surveilled (S), exposed distorted information (D), one using too excessively (O). One way which users cope such by applying self-help strategies as adjusting their privacy settings (Sstrat), double-checking (Dstrat), deliberately ignoring automated recommendations (Ostrat). article determines association theoretically derived factors risk awareness (1), personal affectedness (2), algorithm skills (3) these strategies. The findings from structural equation modelling survey data representative for Swiss population (N2018=1,202) show that risks, are use These results indicate besides implementing statutory regulation, policy makers have option encourage users’ increasing clarifying how affect them personally, promoting skills.

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ژورنال

عنوان ژورنال: Journal of digital social research

سال: 2023

ISSN: ['2003-1998']

DOI: https://doi.org/10.33621/jdsr.v5i1.130