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Changes for page Specification

Last modified by Robert Schaub on 2025/12/24 20:33
From version 6.1
edited by Robert Schaub
on 2025/12/11 20:31
Change comment: Imported from XAR
To version 10.1
edited by Robert Schaub
on 2025/12/12 15:41
Change comment: Imported from XAR

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1 -{{warning title="Version 0.8q (Draft)"}}
1 +{{warning title="Version 0.8ac (Draft)"}}
2 2  This document describes the **Specification** of FactHarbor. It is a working draft.
3 3  {{/warning}}
4 4  
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6 6  
7 7  This section defines the technical architecture, data models, and functional requirements of FactHarbor.
8 8  
9 +== Mission ==
10 +
11 +**FactHarbor brings clarity and transparency to a world full of unclear, controversial, and misleading information by shedding light on the context, assumptions, and evidence behind claims — empowering people to better understand and judge wisely.**
12 +
13 +== Purpose ==
14 +
15 +Modern society faces a deep informational crisis:
16 +* Misinformation spreads faster than corrections.
17 +* High-quality evidence is buried under noise.
18 +* Meanings shift depending on context — but this is rarely made explicit.
19 +* Users lack tools to understand *why* information conflicts.
20 +* Claims are evaluated without clearly defined assumptions.
21 +
22 +FactHarbor introduces structure, transparency, and comparative reasoning. It provides:
23 +* Multiple valid scenarios for ambiguous claims.
24 +* Transparent assumptions, definitions, and boundaries.
25 +* Full evidence provenance.
26 +* Likelihood-based verdicts (one per scenario).
27 +* Versioning and temporal change tracking.
28 +* Hybrid AI–human collaboration.
29 +
30 +== Core Concepts ==
31 +
32 +* **Claim**: A statement needing structured interpretation.
33 +* **Scenario**: Definitions, assumptions, boundaries, and context.
34 +* **Evidence**: Information supporting or contradicting a scenario.
35 +* **Verdict**: Likelihood estimate based on weighted evidence **for a specific scenario**.
36 +* **Summary View**: User-facing overview.
37 +* **AKEL**: AI subsystem for drafting and assistance (human supervised).
38 +* **Federation**: Decentralized nodes hosting datasets.
39 +* **Truth Landscape**: The aggregation of multiple scenario-dependent verdicts showing where a claim is plausible.
40 +* **Time Evolution**: Versioning of all entities allowing historical views.
41 +
42 +== Functional Lifecycle ==
43 +
44 +The system follows a six-step lifecycle:
45 +
46 +1. **Claim submission**: Automatic extraction and normalisation; Cluster detection.
47 +2. **Scenario building**: Clarifying definitions and assumptions; AI proposals with human approval.
48 +3. **Evidence handling**: AI-assisted retrieval; Human assessment of reliability; Explicit scenario linking.
49 +4. **Verdict creation**: AI-generated draft verdicts; Human refinement; Reasoning explanations.
50 +5. **Public presentation**: Concise summaries; Truth Landscape comparison; Deep dives.
51 +6. **Time evolution**: Versioning of all entities; Re-evaluation triggers when evidence changes.
52 +
9 9  == Chapters ==
10 10  
11 11  {{children sort="title"/}}