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K. Jonathan Klueger
University of Zurich
F
Fabrizio Gilardi
University of Zurich
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References (7)
[3]
OASIS: Open Agent Social Interaction Simulations with One Million Agents
Founder's Pitch
"VIRENA enables controlled social media experiments in realistic replica environments for research and education without coding skills."
Commercial Viability Breakdown
0-10 scaleHigh Potential
1/4 signals
Quick Build
4/4 signals
Series A Potential
4/4 signals
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Why It Matters
Studying digital communication dynamics is critical in understanding how social media influences public discourse, but current platforms are limited in their ability to allow for ethical and comprehensive analysis. VIRENA offers a solution by providing a simulated environment that sidesteps ethical concerns while enabling rich, controlled experimentation.
Product Angle
To productize VIRENA, offer it as a SaaS platform for universities, social science research institutions, and corporations interested in understanding social media influence dynamics. Provide robust support and customization options to fit specific research needs.
Disruption
VIRENA could disrupt existing social media simulation tools by providing a more comprehensive, user-friendly platform that does not require technical expertise, potentially replacing or integrating with simpler, code-intensive research tools.
Product Opportunity
There is a growing demand for tools that allow safe and ethical social media research, particularly from academic institutions, think tanks, and government organizations. These entities often face challenges accessing real-world data and will pay for reliable research tools.
Use Case Idea
A digital marketing agency could use VIRENA to pre-test their social media campaigns in a controlled environment, understanding potential public reactions and adjusting strategies before going live.
Science
VIRENA provides a virtual environment that mimics real social media platforms, allowing multiple users to interact in feed-based or chat-based simulations. It includes AI-driven agents that can interact alongside human participants, providing researchers control over variables like content moderation and timing. The platform eliminates the need for programming skills through a no-code interface, making it more accessible to a broader audience.
Method & Eval
The platform is tested at the University of Zurich, where it is already in use, and serves as a proof of concept. Researchers validate its effectiveness by designing experiments that were previously not feasible due to technical or ethical limitations.
Caveats
The main limitations include the potential lack of unpredictability compared to real-world social media environments and the challenge of continually adapting the platform to ensure it remains an accurate simulation as social media platforms evolve.
Author Intelligence
Emma Hoes
University of Zurich
hoes@ipz.uzh.ch
K. Jonathan Klueger
University of Zurich
Fabrizio Gilardi
University of Zurich