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Last modified by Robert Schaub on 2026/02/08 08:26
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1 = Core Problems FactHarbor Solves =
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3 (% class="box infomessage" %)
4 (((
5 **Our Mission**
6 FactHarbor brings clarity and transparency to a world full of unclear, contested, and misleading information by shedding light on the context, assumptions, and evidence behind claims.
7 )))
8
9 == 1. Core Problems ==
10
11 === 1.1 Problem 1 — Misinformation & Manipulation ===
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13 Falsehoods and distortions spread rapidly through:
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15 * Political propaganda
16 * Social media amplification
17 * Coordinated influence networks
18 * AI-generated fake content
19 Users need a structured system that resists manipulation and makes reasoning transparent.
20
21 === 1.2 Problem 2 — Missing Context Behind Claims ===
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23 Most claims change meaning drastically depending on:
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25 * Definitions
26 * Assumptions
27 * Boundaries
28 * Interpretation
29 FactHarbor reveals and compares these variations.
30
31 === 1.3 Problem 3 — "Binary Fact Checks" Fail ===
32
33 Most fact-checking simplifies complex claims into:
34
35 * True
36 * Mostly True
37 * False
38 This hides legitimate contextual differences.
39 FactHarbor replaces binary judgment with scenario-based, likelihood-driven evaluation.
40
41 === 1.4 Problem 4 — Good Evidence Is Hard to Find ===
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43 High-quality evidence exists — but users often cannot:
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45 * Locate it
46 * Assess its reliability
47 * Understand how it fits into a scenario
48 * Compare it with competing evidence
49 FactHarbor aggregates, assesses, and organizes evidence with full transparency.
50
51 === 1.5 Problem 5 — Claims Evolve Over Time ===
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53 Research and understanding change:
54
55 * New studies emerge
56 * Old studies are retracted
57 * Consensus shifts
58 FactHarbor provides:
59 * Full entity versioning
60 * Verdict timelines
61 * Automatic re-evaluation when inputs change
62
63 === 1.6 Problem 6 — Users Cannot See Why People Disagree ===
64
65 People often assume others are ignorant or dishonest, when disagreements typically arise from:
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67 * Different definitions
68 * Different implicit assumptions
69 * Different evidence
70 * Different contexts
71 FactHarbor exposes these underlying structures so disagreements become understandable, not divisive.
72
73 == 2. Core Concepts ==
74
75 === 2.1 Claim ===
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77 A user- or AI-submitted statement whose meaning is often ambiguous and requires structured interpretation.
78 A claim does not receive a single verdict — it branches into scenarios that clarify its meaning.
79
80 === 2.2 Scenario ===
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82 A structured interpretation that clarifies what the claim means under a specific set of:
83
84 * Boundaries
85 * Definitions
86 * Assumptions
87 * Contextual conditions
88 Multiple scenarios allow claims to be understood fairly and without political or ideological bias.
89
90 === 2.3 Evidence ===
91
92 Information that supports or contradicts a scenario.
93 Evidence includes empirical studies, experimental data, expert consensus, historical records, contextual background, and absence-of-evidence signals.
94 Evidence evolves through versioning and includes reliability assessment.
95
96 === 2.4 Verdict ===
97
98 A likelihood estimate for a claim within a specific scenario based on evidence quality, quantity, methodology, uncertainty factors, and comparison with competing scenarios.
99 Each verdict is versioned and includes a historical timeline.
100
101 === 2.5 AI Knowledge Extraction Layer (AKEL) ===
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103 The AI subsystem that interprets claims, proposes scenario drafts, retrieves evidence, classifies sources, drafts verdicts, detects contradictions, and triggers re-evaluation when inputs change.
104 AKEL outputs follow risk-based publication model with quality gates and audit oversight.
105
106 === 2.6 Decentralized Federation Model ===
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108 FactHarbor supports a decentralized, multi-node architecture where each node stores its own data and synchronizes via federation protocol.
109 This increases resilience, autonomy, and scalability.
110
111 == 3. Vision for Impact ==
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113 FactHarbor aims to:
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115 * **Reduce polarization** by revealing legitimate grounds for disagreement
116 * **Combat misinformation** by providing structured, transparent evaluation
117 * **Empower users** to make informed judgments based on evidence
118 * **Support deliberative democracy** by clarifying complex policy questions
119 * **Enable federated knowledge** so no single entity controls the truth
120 * **Resist manipulation** through transparent reasoning and quality oversight
121 * **Evolve with research** by maintaining versioned, updatable knowledge
122
123 == 4. Related Pages ==
124
125 * [[Requirements (Roles)>>Archive.FactHarbor 2026\.01\.20.Specification.Requirements.WebHome]]
126 * [[AKEL (AI Knowledge Extraction Layer)>>Archive.FactHarbor 2026\.01\.20.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
127 * [[Functional Requirements>>Archive.FactHarbor 2026\.01\.20.Specification.Requirements.WebHome]]
128 * [[Federation & Decentralization>>Archive.FactHarbor 2026\.01\.20.Specification.Federation & Decentralization.WebHome]]