# Kezia M. Williams (@keziamw) on tiktok

- id: koinon:creator:tiktok_keziamw
- url: https://koinonlink.com/kol/tiktok/keziamw
- schema_version: 1.2

## Identity
- platform: tiktok
- handle: keziamw
- platform_url: https://www.tiktok.com/@keziamw
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 137973
- following: 367
- posts_observed: 8
- verified: false
- size_tier: kol

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- category_confidence: 0.3
- category_source: derived_from_discovery_path
- topics: AI writing, prompts and watermark removal, Data privacy and AI surveillance, Black community issues (unemployment, education, wealth), Consumer protection and scams, Personal finance and investing, Current events and true crime cases

## Audience (inferred)
- status: present
- description: TikTok users, mainly Black audiences interested in AI tools, personal finance, consumer protection and social issues
- roles: none
- seniority: consumer
- pain_points: AI tools leaving detectable fingerprints that hurt job applications or credibility, Personal data being sold or used for surveillance pricing and AI training, Systemic barriers like racism, unemployment and unfair college/employment practices affecting Black professionals and fa, Navigating complex topics like wills, investments and AI without clear guidance
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_keziamw#a5f446b0] cheap land for #tinyhomes + #containerhomes #professorkez #BlackTikTok #fy #fyp (https://www.tiktok.com/@keziamw)
- [tiktok_keziamw#e18fbf30] original sound - keziamw
- [tiktok_keziamw#0c1704d7] It is a becoming a big trend on TikTok now! Click here: tinyhomes
- [tiktok_keziamw#aa1a8abd] Check out Kezia M. Williams’s video! #TikTok >
- [tiktok_keziamw#420a7e96] Daejon Love came up in Google AI Overview as a 49ers NFL player before he was arrested. This may have helped him scam 26 women out of $1.3 million. Check your sources people. #DaejonLove #NFL #AI #ProfessorKez
- [tiktok_keziamw#91a49dae] Anti #DEI environment and also #EEOC restructure will lead to more union creation + greater need to negotiate employment terms up front to include more than two weeks severance! Here is how you not only think about salary but also termination before you start. Congrats to Karen A
- [tiktok_keziamw#590c69d8] China's humanoid robo

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=32, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=0, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=32, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=32, method=platform_profile

## Freshness
- profile_checked_days_ago: 32
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_keziamw
- Request removal: https://koinonlink.com/claim?k=tiktok_keziamw
- Terms: https://koinonlink.com/for-ai