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Last modified by Robert Schaub on 2025/12/24 20:33
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1 = Core Problems FactHarbor Solves =
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5 **Our Mission**
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7 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.
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10 ----
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12 == Core Problems ==
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14 === Problem 1 — Misinformation & Manipulation ===
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16 Falsehoods and distortions spread rapidly through:
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18 * Political propaganda
19 * Social media amplification
20 * Coordinated influence networks
21 * AI-generated fake content
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23 Users need a structured system that resists manipulation and makes reasoning transparent.
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25 === Problem 2 — Missing Context Behind Claims ===
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27 Most claims change meaning drastically depending on:
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29 * Definitions
30 * Assumptions
31 * Boundaries
32 * Interpretation
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34 FactHarbor reveals and compares these variations.
35
36 === Problem 3 — "Binary Fact Checks" Fail ===
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38 Most fact-checking simplifies complex claims into:
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40 * True
41 * Mostly True
42 * False
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44 This hides legitimate contextual differences.
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46 FactHarbor replaces binary judgment with scenario-based, likelihood-driven evaluation.
47
48 === Problem 4 — Good Evidence Is Hard to Find ===
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50 High-quality evidence exists — but users often cannot:
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52 * Locate it
53 * Assess its reliability
54 * Understand how it fits into a scenario
55 * Compare it with competing evidence
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57 FactHarbor aggregates, assesses, and organizes evidence with full transparency.
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59 === Problem 5 — Claims Evolve Over Time ===
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61 Research and understanding change:
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63 * New studies emerge
64 * Old studies are retracted
65 * Consensus shifts
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67 FactHarbor provides:
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69 * Full entity versioning
70 * Verdict timelines
71 * Automatic re-evaluation when inputs change
72
73 === Problem 6 — Users Cannot See Why People Disagree ===
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75 People often assume others are ignorant or dishonest, when disagreements typically arise from:
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77 * Different definitions
78 * Different implicit assumptions
79 * Different evidence
80 * Different contexts
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82 FactHarbor exposes these underlying structures so disagreements become understandable, not divisive.
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84 ----
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86 == Core Concepts ==
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88 === Claim ===
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90 A user- or AI-submitted statement whose meaning is often ambiguous and requires structured interpretation.
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92 A claim does not receive a single verdict — it branches into scenarios that clarify its meaning.
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94 === Scenario ===
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96 A structured interpretation that clarifies what the claim means under a specific set of:
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98 * Boundaries
99 * Definitions
100 * Assumptions
101 * Contextual conditions
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103 Multiple scenarios allow claims to be understood fairly and without political or ideological bias.
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105 === Evidence ===
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107 Information that supports or contradicts a scenario.
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109 Evidence includes empirical studies, experimental data, expert consensus, historical records, contextual background, and absence-of-evidence signals.
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111 Evidence evolves through versioning and includes reliability assessment.
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113 === Verdict ===
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115 A likelihood estimate for a claim within a specific scenario based on evidence quality, quantity, methodology, uncertainty factors, and comparison with competing scenarios.
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117 Each verdict is versioned and includes a historical timeline.
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119 === AI Knowledge Extraction Layer (AKEL) ===
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121 The AI subsystem that interprets claims, proposes scenario drafts, retrieves evidence, classifies sources, drafts verdicts, detects contradictions, and triggers re-evaluation when inputs change.
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123 AKEL outputs follow risk-based publication model with quality gates and audit oversight.
124
125 === Decentralized Federation Model ===
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127 FactHarbor supports a decentralized, multi-node architecture where each node stores its own data and synchronizes via federation protocol.
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129 This increases resilience, autonomy, and scalability.
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133 == Vision for Impact ==
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135 FactHarbor aims to:
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137 * **Reduce polarization** by revealing legitimate grounds for disagreement
138 * **Combat misinformation** by providing structured, transparent evaluation
139 * **Empower users** to make informed judgments based on evidence
140 * **Support deliberative democracy** by clarifying complex policy questions
141 * **Enable federated knowledge** so no single entity controls the truth
142 * **Resist manipulation** through transparent reasoning and quality oversight
143 * **Evolve with research** by maintaining versioned, updatable knowledge
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145 ----
146
147 == Related Pages ==
148
149 * [[Requirements (Roles)>>Archive.FactHarbor V0\.9\.18 copy.Specification.Requirements.WebHome]]
150 * [[AKEL (AI Knowledge Extraction Layer)>>Archive.FactHarbor V0\.9\.18 copy.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
151 * [[Functional Requirements>>Archive.FactHarbor V0\.9\.18 copy.Specification.Requirements.WebHome]]
152 * [[Federation & Decentralization>>Archive.FactHarbor V0\.9\.18 copy.Specification.Federation & Decentralization.WebHome]]