47 citations · 120 across the 10 of their papers we have counts for
9 papers · 1 filter
A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist
Hendrik Heuer, Elena Leah Glassman
During the COVID-19 pandemic, the World Health Organization provided a checklist to help people distinguish between accurate and misinformation. In controlled experiments in the Un…
Beyond Participation: A Review of Co-Creation in Computing
Juliane Jarke, Gabriela Molina León, Irina Zakharova +2
New methods and technologies for engaging future users and other stakeholders in participatory (design) processes are being developed and proposed. Increasingly, researchers refer…
The Explanatory Gap in Algorithmic News Curation
Hendrik Heuer
Considering the large amount of available content, social media platforms increasingly employ machine learning (ML) systems to curate news. This paper examines how well different e…
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…
Audit, Don't Explain -- Recommendations Based on a Socio-Technical Understanding of ML-Based Systems
Hendrik Heuer
In this position paper, I provide a socio-technical perspective on machine learning-based systems. I also explain why systematic audits may be preferable to explainable AI systems.…
Helping People Deal With Disinformation -- A Socio-Technical Perspective
Hendrik Heuer
At the latest since the advent of the Internet, disinformation and conspiracy theories have become ubiquitous. Recent examples like QAnon and Pizzagate prove that false information…
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…
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…
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…