47 citations · 120 across the 10 of their papers we have counts for
13 papers
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…
Methods for the Design and Evaluation of HCI+NLP Systems
Hendrik Heuer, Daniel Buschek
HCI and NLP traditionally focus on different evaluation methods. While HCI involves a small number of people directly and deeply, NLP traditionally relies on standardized benchmark…
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…
Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation
Maximilian Spliethöver, Jonas Klaff, Hendrik Heuer
Attention mechanisms have seen some success for natural language processing downstream tasks in recent years and generated new State-of-the-Art results. A thorough evaluation of th…
Generating captions without looking beyond objects
Hendrik Heuer, Christof Monz, Arnold W. M. Smeulders
This paper explores new evaluation perspectives for image captioning and introduces a noun translation task that achieves comparative image caption generation performance by transl…
Text comparison using word vector representations and dimensionality reduction
Hendrik Heuer
This paper describes a technique to compare large text sources using word vector representations (word2vec) and dimensionality reduction (t-SNE) and how it can be implemented using…