Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendation
Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendation explores Implement algorithmic and LLM-based nudges to diversify news consumption habits, validated by a real-user study.. Commercial viability score: 7/10 in News Recommendation.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisLLM-Enhanced Reinforcement Learning for Long-Term User Satisfaction in Interactive RecommendationViability: 6.0
- Builds On ThisPrompt Programming for Cultural Bias and Alignment of Large Language ModelsViability: 3.0
- Builds On This"I followed what felt right, not what I was told": Autonomy, Coaching, and Recognizing Bias Through AI-Mediated DialogueViability: 2.0
- Builds On ThisFlexRec: Adapting LLM-based Recommenders for Flexible Needs via Reinforcement LearningViability: 3.0
- Builds On ThisAuditing Preferences for Brands and Cultures in LLMs