activity
20162021
most citedMiddle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube

47 citations · 85 across the 8 of their papers we have counts for

collaborators

11 papers

cs.HC2021

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…

cs.HC20212 cited

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…

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.HC2021

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.…

cs.HC20211 cited

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…

cs.CL2021

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…