Growth First, Care Second? Tracing the Landscape of LLM Value Preferences in Everyday Dilemmas
This research analyzes how large language models (LLMs) navigate value trade-offs in everyday dilemmas, using a dataset from Reddit. It constructs a hierarchical value framework and finds that LLMs consistently prioritize 'Exploration & Growth' over 'Benevolence & Connection', highlighting a potential risk of value homogenization in AI-mediated advice.
Executive Impact Summary
Key insights at a glance, revealing the critical metrics driving our analysis.
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Real-world Dilemmas Analyzed
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Unique Values Extracted
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Validation Accuracy (Value Extraction)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
LLM Value Preference Assessment Pipeline
Extract Values from Reddit Dilemmas (GPT-4o)
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Inductively Build Hierarchical Value Framework (4 Levels)
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Analyze Value Trade-off Structures Across Subreddits
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Assess LLM Value Preferences via Winning Rates
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Identify Homogenization Risks
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| Ecological Validity |
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Higher Density
of Value Trade-offs in Women-Focused Subreddits (r/AskWomenAdvice)
Security vs. Respect
Consistent Top Trade-off in Men, Women & Friendship Subreddits
Growth & Self-Actualization
Dominant Trade-offs in Career Advice Contexts
Case Study: Career Dilemma: Stability vs. Growth
A user is offered a promotion at a smaller healthcare company, which offers better title and pay, but is outside their long-term goal of moving into big tech. They currently work at a Fortune 1000 company.
Outcome: This dilemma highlights the common trade-off in career advice where Stability (staying in current company) competes with Growth (moving to new role with better pay/title but different industry direction).
Exploration & Growth
Systematically Preferred by LLMs Across Models & Contexts
Benevolence & Connection
Consistently Least Preferred by LLMs Across Models & Contexts
Context-Dependent Shifts
LLMs prioritize Security & Stability in women-focused advice; Exploration & Growth in career advice.
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