most citedMiddle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube

47 citations · 71 across the 4 of their papers we have counts for

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cs.HC202115 cited

Auditing the Biases Enacted by YouTube for Political Topics in Germany

Hendrik Heuer, Hendrik Hoch, Andreas Breiter +1

With YouTube's growing importance as a news platform, its recommendation system came under increased scrutiny. Recognizing YouTube's recommendation system as a broadcaster of media…

cs.HC2020

Mapping the Global South: Equal-Area Projections for Choropleth Maps

Gabriela Molina León, Michael Lischka, Andreas Breiter

Choropleth maps are among the most common visualization techniques used to present geographical data. These maps require an equal-area projection but there are no clear criteria fo…

cs.HC202047 cited

Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube

Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele +2

User beliefs about algorithmic systems are constantly co-produced through user interaction and the complex socio-technical systems that generate recommendations. Identifying these…

cs.HC20201 cited

How Fake News Affect Trust in the Output of a Machine Learning System for News Curation

Hendrik Heuer, Andreas Breiter

People are increasingly consuming news curated by machine learning (ML) systems. Motivated by studies on algorithmic bias, this paper explores which recommendations of an algorithm…

cs.HC20208 cited

More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition

Hendrik Heuer, Andreas Breiter

This paper investigates the user experience of visualizations of a machine learning (ML) system that recognizes objects in images. This is important since even good systems can fai…