id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
spir-11006	Martens, Marijn; De Wolf, Ralf; Berendt, Bettina; De Marez, Lieven	TRUST IN DECONSTRUCTED RECOMMENDER SYSTEMS. CASE STUDY: NEWS RECOMMENDER SYSTEMS	2019.0	4	.pdf	application/pdf	1291	78	56	Social scientists have focused on biases that arise when algorithms are implemented in everyday life: black people who are perceived as gorillas by image recognition software, criminal justice risk assessment algorithms that are racially biased against black prisoners, and job recruitment algorithms that have gender bias (Barocas & Selbst, 2016). TRUST IN DECONSTRUCTED RECOMMENDER SYSTEMS CASE STUDY: NEWS RECOMMENDER SYSTEMS Marijn Martens imec-mict-UGent Ralf De Wolf imec-mict-UGent Bettina Berendt KU Leuven Lieven De Marez imec-mict-UGent Extended abstract Increasingly, algorithms play an important role in everyday decision-making processes.	cache/spir-11006.pdf	txt/spir-11006.txt