most citedAddressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cs.CY2022★ 15 cited

Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda

Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen +1

Machine learning (ML) enabled classification models are becoming increasingly popular for tackling the sheer volume and speed of online misinformation and other content that could…