Beyond facilitating communication, VALUEbot is designed to capture, analyze, and interpret audience interactions in a rigorous, ethical, and strategic manner.
Its conversation analysis module offers public service media new capabilities to understand the perceptions, emotions, and concerns of their audiences.
VALUEbot’s Key Analytical Dimensions:
✅ Keyword Analysis
Tracking recurring concepts and thematic priorities emerging from audience conversations.
✅ Sentiment and Emotion Analysis
Measuring emotional tones such as trust, satisfaction, concern, or enthusiasm in user interactions.
✅ Trust Perception Evaluation
Quantifying expressions of trust or distrust towards public service media.
✅ Resolution and Interaction Metrics
Analyzing the effectiveness and efficiency of chatbot interactions based on resolution rates and interaction durations.
✅ Micro-surveys Integration
Embedding short questionnaires within conversational flows to directly assess perceptions of public value.
Strategic Goal
By combining quantitative and qualitative data, VALUEbot provides actionable insights that can inform editorial decisions, improve communication strategies, and strengthen the democratic mission of public service media.
Institutional information
VALUEbot is a proof-of-concept project funded by the Next Generation EU program, under the Spanish Government’s Recovery, Transformation, and Resilience Plan. It is part of the scientific activities carried out by the PSM Research Team.
