Information Deprivation and Democratic Engagement.
There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards ep...
| Published in: | Philosophy of Science Vol. 90; no. 5; pp. 1110 - 1120 |
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| Format: | Article |
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Cambridge University Press
Dec2023
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| Online Access: | View this record in EBSCOhost |
| Summary: | There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards epistemic elites' conceptions that can undermine their empirical adequacy. A mature science of information deprivation should include considerable citizen involvement that is sensitive to the value-ladenness of information quality, and doing so may improve the predictive and explanatory power of extant models. |
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