MPSR: A Multi-Perspective Self-Reflection Framework for Public Opinion Report Generation

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Authors: Jinzheng Yu, Weijian Fan, Yang Xu, Yifan Feng, Jia Luo, Ligu Zhu, Hao Shen
Cited by: 0

Abstract

Crisis events generate massive information flows from diverse sources, which need to be consolidated into public opinion reports to enable timely response by governments and enterprises. Current LLMs, despite strong generation capabilities, fail to achieve perspective diversity, maintain factual consistency, and perform coherent high-level planning. To address these gaps, we propose MPSR: a multi-perspective self-reflection framework. Our framework first assigns diverse stakeholder personas to agents who independently generate initial writing plans from complementary viewpoints. Subsequently, a three-stage debate mechanism refines these plans by identifying conflicts, formulates resolution strategies, and produces a consensus plan, thereby enhancing factual consistency. Finally, we introduce a Report Fusion mechanism to synthesize reports across temporal batches, ensuring comprehensive event coverage. Extensive experiments demonstrate that MPSR significantly outperforms baselines, achieving Date F1 of 0.67, G-Eval of 4.54, and MiniCheck score of 79.43, which represent improvements of 17.5%, 70.0%, and 25.8% over the strongest baseline, respectively.

Fields of Study & Subjects

Topic Modeling Public Relations and Crisis Communication Sentiment Analysis and Opinion Mining

Publication details

Journal / source
Electronics
Volume
15
Issue
2
Pages
404–404
Publication date
16 January 2026
Language
EN