DigiKomm 2026
Utopias and dystopias of the digital society:
30 years of research on computer-mediated communication
September 16–18, 2026, Weizenbaum Institute, Berlin, Germany
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Preconference Workshop (EN): Large Language Models & Users' Mental Models
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As part of the annual convention of the DGPuK Division "Digital Communication," we invite you to join our Workshop on "Large Language Models & Users' Mental Models." LLMs are transforming how individuals seek andprocess information, construct their environment and themselves, and evaluate truth in public discourse. Our focus is on users' mental models of LLMs, regarding epistemology (truth, trust, knowledge), design (algorithms, interfaces, AI systems), and effects (cognition, emotion, behavior). We bring together researchers from communication science, psychology, computer science/HCI, and philosophy, and welcome perspectives from beyond these fields.
Mental models increasingly form through interaction with digital environments rather than direct experience, a process social media accelerated by circulating simplified, emotionally salient representations. LLMs further transform this landscape by generatingcoherent, context-sensitive representations on demand, shaping the construction, reinforcement, and revision of users' mental models. This workshop zooms in on these developments, exploring themes such as human–AI interaction and mental models, epistemic trust and credibility in AI systems, disinformation, narratives, and bias, algorithmic design and explainability, domain-specific communication (health and nutrition, politics, sustainability), and emotional and behavioral effects.
The workshop language is English; the venue is wheelchair accessible. The workshop is open to all conference participants. Please register at eres@tu-berlin.de.
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