From a Perspective Free of Human Culture, Religion, History, Politics, and Ideology
If the goal is to enhance humanity’s long-term stability, systemic efficiency, collective cognitive quality, and civilizational evolutionary capacity, then the news media industry should embody the following core structures and functional characteristics:
✅ 1. Truthfulness and Verifiability as the Highest Principle
- All reports must include original data sources and reconstructable reasoning logic.
- Quoted data, images, and testimonies must undergo de-biasing and transparent, unedited processing.
- Information should not be trusted based on who says it, but on whether the claim is verifiable.
📌 The media should not appeal to celebrities, authorities, or emotion—but to fact-based, verifiable logic chains.
✅ 2. Systemic Context Construction and Multivariable Framing
- Reports must include the background, temporal evolution, causal structure, and future projections of events.
- Avoid presenting events in isolation—embed them within the dynamic systems they are part of.
📌 Example: When reporting on rising food prices, the coverage should not simply state "prices increased," but also present the intersecting factors: climate impacts, trade policies, regional conflicts, energy prices, monetary policies, etc.
✅ 3. Non-Commercial, Survival-Oriented Information Prioritization System
- The selection and ranking of news topics should not be driven by click-through rates or advertising profit, but by the value of information to human survival and evolution.
- Develop a reporting priority model based on a combination of long-term risk index × systemic impact scope.
📌 Media should not prioritize celebrity gossip, but instead focus on deeply impactful issues such as climate tipping points, technological externalities, ecosystem collapse trends, and institutional degradation.
✅ 4. Collective Rationality Enhancement Mechanism
- The role of the media should be to enhance collective cognitive quality, not to amplify emotion, division, or simplistic moral binaries.
- Use visual tools, causal maps, and system simulations to help the public understand complex issues.
- Encourage skepticism and self-correction, rather than build closed ideological echo chambers.
✅ 5. Fully Open-Source and Auditable News Production Chain
- Every step in news production—from data collection, analysis, editing, to publication—should have publicly accessible records and be open to audit.
- Encourage third-party reviews and cross-institutional verification.
- Establish error reporting and correction mechanisms.
✅ 6. Global Collaboration and Cross-Cultural Semantic Interoperability Layer
- To prevent information from being siloed by language, culture, or political boundaries, the media system should implement a multilingual semantic standardization framework.
- Use a neutral semantic architecture to allow people from different linguistic backgrounds to share the same conceptual understanding.
- Employ decentralized data storage and collaboration mechanisms (e.g., blockchain-based auditing) to prevent monopolies and censorship.
✅ 7. No Idolization of Journalists—Build the “News System” Itself
- Media should not be a stage for personal heroism or commentator worship, but an open system for continuous learning, error correction, and self-optimization.
- Leadership and reporter roles should be rotatable, but the system itself must be designed to mitigate human cognitive bias (e.g., through blind review, anonymous assessment, random sampling, etc.).
📌 Conclusion:
The ideal news media does not say what people want to hear—but what the human system needs to know.
Media should not aim for emotional appeal, traffic, or group approval, but be designed as a systemic tool to strengthen humanity’s collective forecasting ability, complexity comprehension, and risk identification.
