Changes for page POC Summary (POC1 & POC2)

Last modified by Robert Schaub on 2025/12/24 09:44

From version 2.1
edited by Robert Schaub
on 2025/12/23 18:49
Change comment: Imported from XAR
To version 6.1
edited by Robert Schaub
on 2025/12/24 09:44
Change comment: Renamed from xwiki:Test.FactHarbor.Specification.POC.Summary

Summary

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Content
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1 -= FactHarbor - Complete Analysis Summary
2 -**Consolidated Document - No Timelines**
3 -**Date:** December 19, 2025
1 += POC Summary (POC1 & POC2) =
4 4  
5 ----
3 +== 1. POC Specification ==
6 6  
7 -== 1. POC Specification - DEFINITIVE
8 -
9 9  === POC Goal
10 10  Prove that AI can extract claims and determine verdicts automatically without human intervention.
11 11  
... ... @@ -75,172 +75,91 @@
75 75  
76 76  > "Build less, learn more, decide faster. Test the hardest part first."
77 77  
78 ----
79 79  
80 -== 2. Gap Analysis - Strategic Framework
81 81  
82 -=== Framework Definition
76 +=== Context-Aware Analysis (Experimental POC1 Feature) ===
83 83  
84 -**Importance = f(risk, impact, strategy)**
85 -- Risk: What breaks if we don't have this?
86 -- Impact: How many users? How severe?
87 -- Strategy: Does it advance FactHarbor's mission?
78 +**Problem:** Article credibility ≠ simple average of claim verdicts
88 88  
89 -**Urgency = f(fail fast and learn, legal, promises made)**
90 -- Fail fast: Do we need to test assumptions?
91 -- Legal: External requirements/deadlines?
92 -- Promises: Commitments to stakeholders?
80 +**Example:** Article with accurate facts (coffee has antioxidants, antioxidants fight cancer) but false conclusion (therefore coffee cures cancer) would score as "mostly accurate" with simple averaging, but is actually MISLEADING.
93 93  
94 -=== 18 Gaps Identified
82 +**Solution (POC1 Test):** Approach 1 - Single-Pass Holistic Analysis
83 +* Enhanced AI prompt to evaluate logical structure
84 +* AI identifies main argument and assesses if it follows from evidence
85 +* Article verdict may differ from claim average
86 +* Zero additional cost, no architecture changes
95 95  
96 -**Category 1: Accessibility & Inclusivity**
97 -1. WCAG 2.1 Compliance
98 -2. Multilingual Support
88 +**Testing:**
89 +* 30-article test set
90 +* Success: ≥70% accuracy detecting misleading articles
91 +* Marked as experimental
99 99  
100 -**Category 2: Platform Integration**
101 -3. Browser Extensions
102 -4. Embeddable Widgets
103 -5. ClaimReview Schema
93 +**See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches.
104 104  
105 -**Category 3: Media Verification**
106 -6. Image/Video/Audio Verification
107 107  
108 -**Category 4: Mobile & Offline**
109 -7. Mobile Apps / PWA
110 -8. Offline Access
96 +== 2. POC2 Specification ==
111 111  
112 -**Category 5: Education & Media Literacy**
113 -9. Educational Resources
114 -10. Media Literacy Integration
98 +=== POC2 Goal ===
99 +Prove that AKEL produces high-quality outputs consistently at scale with complete quality validation.
115 115  
116 -**Category 6: Collaboration & Community**
117 -11. Professional Collaboration Tools
118 -12. Community Discussion
101 +=== POC2 Enhancements (From POC1) ===
119 119  
120 -**Category 7: Export & Sharing**
121 -13. Export Capabilities (PDF, CSV)
122 -14. Social Sharing Optimization
103 +**1. COMPLETE QUALITY GATES (All 4)**
104 +* Gate 1: Claim Validation (from POC1)
105 +* Gate 2: Evidence Relevance ← NEW
106 +* Gate 3: Scenario Coherence ← NEW
107 +* Gate 4: Verdict Confidence (from POC1)
123 123  
124 -**Category 8: Advanced Features**
125 -15. User Analytics
126 -16. Personalization
127 -17. Media Archiving
128 -18. Advanced Search
109 +**2. EVIDENCE DEDUPLICATION (FR54)**
110 +* Prevent counting same source multiple times
111 +* Handle syndicated content (AP, Reuters)
112 +* Content fingerprinting with fuzzy matching
113 +* Target: >95% duplicate detection accuracy
129 129  
130 -=== Importance/Urgency Analysis
115 +**3. CONTEXT-AWARE ANALYSIS (Conditional)**
116 +* **If POC1 succeeds (≥70%):** Implement as standard feature
117 +* **If POC1 promising (50-70%):** Try weighted aggregation approach
118 +* **If POC1 fails (<50%):** Defer to post-POC2
119 +* Detects articles with accurate claims but misleading conclusions
131 131  
132 -**VERY HIGH Importance + HIGH Urgency:**
133 -1. **Accessibility (WCAG)**
134 - - Risk: Legal liability, 15-20% users excluded
135 - - Urgency: European Accessibility Act (June 28, 2025)
136 - - Action: Must be built from start (retrofitting 100x more expensive)
121 +**4. QUALITY METRICS DASHBOARD (NFR13)**
122 +* Track hallucination rates
123 +* Monitor gate performance
124 +* Evidence quality metrics
125 +* Processing statistics
137 137  
138 -2. **Educational Resources**
139 - - Risk: Platform fails if users can't understand
140 - - Urgency: Required for any adoption
141 - - Action: Basic onboarding essential
127 +=== What's Still NOT in POC2 ===
142 142  
143 -**HIGH Importance + MEDIUM Urgency:**
144 -3. **Browser Extensions** - Standard user expectation, test demand first
145 -4. **Media Verification** - Cannot address visual misinformation without it
146 -5. **Multilingual** - Global mission requires it, plan early
129 +❌ User accounts, authentication
130 +❌ Public publishing interface
131 +❌ Social sharing features
132 +❌ Full production security (comes in Beta 0)
133 +❌ In-article claim highlighting (comes in Beta 0)
147 147  
148 -**HIGH Importance + LOW Urgency:**
149 -6. **Mobile Apps** - 90%+ users on mobile, but web-first viable
150 -7. **ClaimReview Schema** - SEO/discoverability, can add anytime
135 +=== Success Criteria ===
151 151  
152 ----
137 +**Quality:**
138 +* Hallucination rate <5% (target: <3%)
139 +* Average quality rating ≥8.0/10
140 +* Gates identify >95% of low-quality outputs
153 153  
154 -== 1.7 POC Alignment with Full Specification
142 +**Performance:**
143 +* All 4 quality gates operational
144 +* Evidence deduplication >95% accurate
145 +* Quality metrics tracked continuously
155 155  
156 -=== POC Intentional Simplifications
147 +**Context-Aware (if implemented):**
148 +* Maintains ≥70% accuracy detecting misleading articles
149 +* <15% false positive rate
157 157  
158 -**POC1 tests core AI capability, not full architecture:**
151 +**Total Output Size:** Similar to POC1 (~220-350 words per analysis)
159 159  
160 -**What POC Tests:**
161 -- Can AI extract claims from articles?
162 -- Can AI evaluate claims with reasonable verdicts?
163 -- Is fully automated approach viable?
164 -- Is output comprehensible to users?
165 165  
166 -**What POC Excludes (Intentionally):**
167 -- ❌ Scenarios (deferred to POC2 - open architectural questions remain)
168 -- ❌ Evidence display (deferred to POC2)
169 -- ❌ Multi-component AKEL pipeline (simplified to single API call)
170 -- ❌ Quality gate infrastructure (simplified basic checks)
171 -- ❌ Production data model (stateless POC)
172 -- ❌ Review workflow system (no review queue)
173 173  
174 -**Why Simplified:**
175 -- Fail fast: Test hardest part first (AI capability)
176 -- Learn before building: POC1 informs architecture decisions
177 -- Iterative: Add complexity based on POC1 learnings
178 -- Risk management: Prove concept before major investment
179 179  
180 -=== Full System Architecture (Future)
181 181  
182 -**Workflow:**
183 -{{code}}
184 -Claims → Scenarios → Evidence → Verdicts
185 -{{/code}}
157 +== 2. Key Strategic Recommendations
186 186  
187 -**AKEL Components:**
188 -- Orchestrator
189 -- Claim Extractor & Classifier
190 -- Scenario Generator
191 -- Evidence Summarizer
192 -- Contradiction Detector
193 -- Quality Gate Validator
194 -- Audit Sampling Scheduler
195 -
196 -**Publication Modes:**
197 -- Mode 1: Draft-Only
198 -- Mode 2: AI-Generated (POC uses this)
199 -- Mode 3: AKEL-Generated (Human-Reviewed)
200 -
201 -=== POC vs. Full System Summary
202 -
203 -|=Aspect|=POC1|=Full System
204 -|Scenarios|None (deferred to POC2)|Core component with versioning
205 -|Workflow|3 steps (input/process/output)|6 phases with quality gates
206 -|AKEL|Single API call|Multi-component orchestrated pipeline
207 -|Data|Stateless (no DB)|PostgreSQL + Redis + S3
208 -|Publication|Mode 2 only|Modes 1/2/3 with risk-based routing
209 -|Quality Gates|4 simplified checks|Full validation infrastructure
210 -
211 -=== Gap Between POC and Beta
212 -
213 -**Significant architectural expansion needed:**
214 -1. Scenario generation component design and implementation
215 -2. Evidence Model full structure
216 -3. Multi-phase workflow with gates
217 -4. Component-based AKEL architecture
218 -5. Production data model and storage
219 -6. Review workflow and audit systems
220 -
221 -**POC proves concept. Beta builds product.**
222 -
223 -
224 -**MEDIUM Importance + LOW Urgency:**
225 -8-14. All other features - valuable but not urgent
226 -
227 -**Strategic Decisions Needed:**
228 -- Community discussion: Allow or stay evidence-focused?
229 -- Personalization: How much without filter bubbles?
230 -- Media verification: Partner with existing tools or build?
231 -
232 -=== Key Insight: Milestones Change Priorities
233 -
234 -**POC:** Only educational resources urgent (basic explainer)
235 -**Beta:** Accessibility becomes urgent (test with diverse users)
236 -**Release:** Legal requirements become critical (WCAG, GDPR)
237 -
238 -**Importance/urgency are contextual, not absolute.**
239 -
240 ----
241 -
242 -== 3. Key Strategic Recommendations
243 -
244 244  === Immediate Actions
245 245  
246 246  **For POC:**
... ... @@ -291,8 +291,6 @@
291 291  
292 292  **Don't build anything without answering these questions.**
293 293  
294 ----
295 -
296 296  == 4. Critical Principles
297 297  
298 298  === Automation First
... ... @@ -324,8 +324,6 @@
324 324  - Accept limitations
325 325  - No overpromising
326 326  
327 ----
328 -
329 329  == 5. POC Decision Gate
330 330  
331 331  === After POC, Choose:
... ... @@ -348,8 +348,6 @@
348 348  - Addressable with better prompts
349 349  - Test again after changes
350 350  
351 ----
352 -
353 353  == 6. Key Risks & Mitigations
354 354  
355 355  === Risk 1: AI Quality Not Good Enough
... ... @@ -372,8 +372,6 @@
372 372  **Mitigation:** Strict scope discipline, say NO to additions
373 373  **Acceptance:** POC is minimal by design
374 374  
375 ----
376 -
377 377  == 7. Success Metrics
378 378  
379 379  === POC Success
... ... @@ -395,8 +395,6 @@
395 395  - Public discourse improves
396 396  - Trust in evidence increases
397 397  
398 ----
399 -
400 400  == 8. What Makes FactHarbor Different
401 401  
402 402  === Not Traditional Fact-Checking
... ... @@ -417,8 +417,6 @@
417 417  - ✅ Making process transparent
418 418  - ✅ Enabling informed decisions
419 419  
420 ----
421 -
422 422  == 9. Core Philosophy
423 423  
424 424  **Three Pillars:**
... ... @@ -441,8 +441,6 @@
441 441  - Evaluate source quality
442 442  - Avoid cherry-picking
443 443  
444 ----
445 -
446 446  == 10. Next Actions
447 447  
448 448  === Immediate
... ... @@ -463,8 +463,6 @@
463 463  □ Learn from failures
464 464  □ Stay focused on mission
465 465  
466 ----
467 -
468 468  == Summary of Summaries
469 469  
470 470  **POC Goal:** Prove AI can do this automatically
... ... @@ -479,8 +479,6 @@
479 479  **Strategy:** Test first, build second. Fail fast. Stay focused.
480 480  **Philosophy:** Scenarios, transparency, evidence. No false certainty.
481 481  
482 ----
483 -
484 484  == Document Status
485 485  
486 486  **This document supersedes all previous analysis documents.**
... ... @@ -494,7 +494,5 @@
494 494  
495 495  **Previous documents are archived for reference but this is the authoritative summary.**
496 496  
497 ----
498 -
499 499  **End of Consolidated Summary**
500 500