Clemens Stachl
Title
Prof. Dr.
Last Name
Stachl
First name
Clemens
Email
clemens.stachl@unisg.ch
ORCID
Phone
+41 71 224 7713
11 results
Now showing 1 - 10 of 11
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Item type:Publication, Contextualizing Smartphone-Typed Language With User Input Intention(2025-08-31); ; Daniel BuschekType:conference contribution - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Behavior as Language: Modeling Individual Differences in App Sequences With AI-Based Transformer Models(2025-07-23) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Digital Traces of Well-Being: Satisfaction with Life Manifests in Everyday Physical Activity Captured with Smartphones(2025) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Satisfaction with Life Manifests in Everyday Physical Activity Captured with Smartphones(2025) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Associations of Affective Well-Being and Everyday Language Depend on Context(2025-09-23); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Digital Authoritarian: Everyday behavioral patterns collected with smartphones predict authoritarianism(2025-07-24); ; Pietro AluffiType:conference contribution - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Addressing Online Misinformation: Insights, Perspectives, and Solutions(2024-02-08); Pietro AluffiThe rapid diffusion of online misinformation poses extensive societal consequences, necessitating urgent action. This symposium unites scientists dedicated to combating misinformation, providing a platform to share insights, methodologies, and findings. With a focus on online social media, the symposium encompasses four distinct perspectives: First, shedding light on partisan disagreements in content removal. Second, examining the impact of aligning message framing with moral values. Third, proposing an early warning detection system using text analysis and psycho-linguistic characteristics, and fourth, investigating how well fact-checking works in the face of emotional claims. Through interdisciplinary collaboration across psychology, communication, computer science, and computational social sciences, the symposium fosters comprehensive exploration of misinformation sharing. By fostering unique insights and fruitful discussions, this symposium facilitates solutions to combat the rapid spread of online misinformation in our digital era. Finally, we aim to advance the status of academic research as well as propose actionable insights to make today’s social media a better place.Type:conference contribution - Some of the metrics are blocked by yourconsent settings
Item type:Publication, We “demand” to know: is AI really everywhere (in management research)?(2024-09); ; ; ; Research on Artificial Intelligence (AI) and its use has proliferated (Patra et al., 2024), matching the pace of technological advances in the field of AI and its presence in business. For example, since the release of ChatGPT in November 2022, CEO and CFO mentions of “AI” in earnings calls have skyrocketed from 500 to 30,000+ (Estrada, 2024). While it is encouraging that scholars and top leaders are rising to the occasion and rallying around such an important topic, this rapid, recent, and far-reaching interest in AI across research and practice is also affecting ostensibly unrelated research fields. That is, the hype around AI might have profound, unintended effects on aspects of research that we have not yet considered. In this discussion piece, we theorize and empirically explore AI demand effects (i.e., the tendency for participants to think that a study is about AI and therefore alter their behaviors). We need to understand these AI demand effects, because they might broadly influence our scientific evidence and interpretations of research related to AI–and beyond.Type:conference contribution - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cognitive Abilities in the Wild: Predicting Fluid Intelligence from Digital Traces of Everyday Smartphone Usage(2024); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Digital Traces of Subjective Well-Being: Leveraging Smartphone Data and Machine Learning for Well-Being Research(2024); ;