Stefan Feuerriegel

schoolLudwig Maximilian University of Munichbar_chart#923 Global Rank

Total Papers

HCI Rank

#923

Research Areas

Years Active

Recent Publications

Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment

Deepfake images can erode trust in institutions and compromise election outcomes, as people often struggle to discern real images from deepfake images. Improving digital literacy can help address these challenges. Here, we compare the efficacy of five digital literacy interventions to boost people's ability to discern…

CHI '265th+ AuthorHuman-LLM Collaboration +2

Supporting Effective Goal Setting with LLM-Based Chatbots

Each day, individuals set behavioral goals such as eating healthier, exercising regularly, or increasing productivity. While psychological frameworks (i.e., goal setting and implementation intentions) can be helpful, they often need structured external support, which interactive technologies can provide. We thus explo…

CHI '26CorrespondingGenerative AI (Text, Image, Music, Video) +2

Partnering with Generative AI: Experimental Evaluation of Model-Led and Human-Led Interaction in Human-AI Co-Creation

Large language models (LLMs) show strong potential to support creative tasks, but the role of the interface design is poorly understood. In particular, the effect of different modes of collaboration between humans and LLMs on co-creation outcomes is unclear. To test this, we conducted a randomized controlled experimen…

CSCW '24CorrespondingSession 1b: From Hate Speech and Propaganda to Online Public Deliberation

The Virality of Hate Speech on Social Media

Online hate speech is responsible for violent attacks such as, e.g., the Pittsburgh synagogue shooting in 2018, thereby posing a significant threat to vulnerable groups and society in general. However, little is known about what makes hate speech on social media go viral. In this paper, we collect N = 25,219 cascades…

CSCW '24CorrespondingSession 1b: From Hate Speech and Propaganda to Online Public Deliberation

Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine

The 2022 Russian invasion of Ukraine was accompanied by a large-scale, pro-Russian propaganda campaign on social media. However, the strategy behind the dissemination of propaganda has remained unclear, particularly how the online discourse was strategically shaped by the propagandists' community. Here, we analyze the…

CSCW '243rd AuthorSession 3e: Trusting the Machine: Fake News. AI Decision-Making, and Auditing

Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing

Fake news on social media has large, negative implications for society. However, little is known about what linguistic cues make people fall for fake news and, hence, how to design effective countermeasures for social media. In this study, we seek to understand which linguistic cues make people fall for fake news. Lin…

CSCW '242nd AuthorSession 3e: Trusting the Machine: Fake News. AI Decision-Making, and Auditing

Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News

Generative artificial intelligence (AI) presents large risks for society when it is used to create fake news. A crucial factor for fake news to go viral on social media is that users share such content. Here, we aim to shed light on the sharing behavior of users across human-generated vs. AI-generated fake news. Speci…

CSCW '23CorrespondingMisinformation II

Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?

Social media platforms disseminate extensive volumes of online content, including true and, in particular, false rumors. Previous literature has studied the diffusion of offline rumors, yet more research is needed to understand the diffusion of online rumors. In this paper, we examine the role of lifetime and crowd ef…

CHI '234th AuthorHonorable MentionHead-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS) +1

Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving

Excessive alcohol consumption causes disability and death. Digital interventions are promising means to promote behavioral change and thus prevent alcohol-related harm, especially in critical moments such as driving. This requires real-time information on a person’s blood alcohol concentration (BAC). Here, we develop…

CSCW '223rd AuthorTeam Collaboration; Team Collaboration

"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics

Immersive analytics has the potential to promote collaboration in machine learning (ML). This is desired due to the specific characteristics of ML modeling in practice, namely the complexity of ML, the interdisciplinary approach in industry, and the need for ML interpretability. In this work, we introduce an augmented…

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