Who Changes Their Mind? Exploring Stance Shifts in LLM-Based Social Media SimulationsUnderstanding the dynamics of stance change on social media is crucial for addressing polarization and information integrity, yet observational studies face challenges including limited experimental control, restricted data access, and algorithmic confounds.
- doi
- 10.1145/3800935.3830836
- isbn
- 979-8-4007-2564-7
- name
- Who Changes Their Mind? Exploring Stance Shifts in LLM-Based Social Media Simulations
- source
- html
- acm_url
- https://dl.acm.org/doi/10.1145/3800935.3830836
- authors
- Valerio La Gatta, Gian Marco Orlando, Marco Perillo, Ferdinando Tammaro, Vincenzo Moscato
- doi_url
- https://doi.org/10.1145/3800935.3830836
- license
- CC BY 4.0
- summary
- Understanding the dynamics of stance change on social media is crucial for addressing polarization and information integrity, yet observational studies face challenges including limited experimental control, restricted data access, and algorithmic confounds.
- keywords
- Generative Agents; Generative Agent-Based Modeling; Social Media Simulations; Opinion Dynamics
- published
- 2026-09-14
- conference
- HT '26: 37th ACM Conference on Hypertext, London, United Kingdom, September 14–18, 2026
- acm_html_url
- https://dl.acm.org/doi/fullHtml/10.1145/3800935.3830836
- ccs_concepts
- CCS Concepts: • Human-centered computing → Social media ; • Computing methodologies → Multi-agent systems ;
- displayAuthor
- Valerio La Gatta, Gian Marco Orlando, Marco Perillo, Ferdinando Tammaro, Vincenzo Moscato
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3800935
- displayPublishTime
- 2026-09-14
- acm_reference_format
- ACM Reference Format: Valerio La Gatta, Gian Marco Orlando, Marco Perillo, Ferdinando Tammaro, and Vincenzo Moscato. 2026. Who Changes Their Mind? Exploring Stance Shifts in LLM-Based Social Media Simulations. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 5 Pages. https://doi.org/10.1145/3800935.3830836
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