# CS50 (@cs50) on tiktok

- id: koinon:creator:tiktok_cs50
- url: https://koinonlink.com/kol/tiktok/cs50
- schema_version: 1.2

## Identity
- platform: tiktok
- handle: cs50
- platform_url: https://www.tiktok.com/@cs50
- website: https://linktr.ee/cs50
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 208572
- following: 2
- posts_observed: 1
- 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: entertainment
- subcategory: edu_science
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: CS50 course promotion and free lectures, Learning coding effectively despite AI, Computer science concepts like P/NP and complexity, Staying motivated in tech learning, Historical CS50 content and team insights
- bio: From the team that brought you CS50 at Harvard, this is the Fifty Foundation.

## Audience (inferred)
- status: present
- description: Computer science beginners and self-learners, mainly students or aspiring coders interested in free Harvard-level intro courses like CS50
- roles: dev
- seniority: learner
- pain_points: Stuck in tutorial hell and unsure how to progress, Losing motivation as technology changes rapidly, Doubting if learning to code is still worthwhile with AI tools, Building solid foundations instead of relying on AI shortcuts
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- 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: B — 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_cs50#c9016f67] Iconic CS50 phone book tear explained! #cs50 #harvard #programming #EduTok (https://www.tiktok.com/@cs50)
- [tiktok_cs50#d1cc37d8] original sound - cs50
- [tiktok_cs50#1bca2778] It is a becoming a big trend on TikTok now! Click here: cs50
- [tiktok_cs50#a1993c08] Check out CS50’s video! #TikTok >
- [tiktok_cs50#03b3a489] Hi TikTok 👋 We’re here to tell you more about Harvard’s biggest Computer Science class. There’s no catch: every lecture is available on YouTube!
- [tiktok_cs50#59dad623] Heat Waves
- [tiktok_cs50#95fd04e4] Learn why it’s worth investing in your own skills from @CS50’s own Carter Zenke.
- [tiktok_cs50#5b28e622] How do you escape tutorial hell? @CS50’s own Carter Zenke bets it’s easier than it seems.

## 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=1, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=1, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=1, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=1, 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=1, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=45, 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=1, 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=45, 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=45, method=platform_profile

## Freshness
- profile_checked_days_ago: 45
- content_analysed_days_ago: 1
- audience_updated_days_ago: 1

## 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_cs50
- Request removal: https://koinonlink.com/claim?k=tiktok_cs50
- Terms: https://koinonlink.com/for-ai