# Professor Casey Fiesler (@professorcasey) on tiktok

- id: koinon:creator:tiktok_professorcasey
- url: https://koinonlink.com/kol/tiktok/professorcasey
- schema_version: 1.4

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

## Reach
- followers: 121966
- following: 2002
- 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: 0.9
- category_source: derived_from_recent_content
- topics: AI ethics education, Student resistance to generative AI, AI watermarking and detection, How LLMs generate text, Impact of AI on teaching and learning

## Audience (inferred)
- status: present
- description: AI ethics students, educators, and tech-interested learners focused on responsible AI use in education
- roles: general_ai
- seniority: learner
- pain_points: Uncertainty about ethical use of generative AI in coursework, Difficulty understanding AI detection tools like watermarks, Concerns that AI tools may harm student learning or academic integrity, Navigating institutional or personal resistance to AI adoption
- posts_analysed: 20
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.3
- promotion_intent: 0.2
- 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_professorcasey#004a33bf] Want to learn about AI? Since my NSF funding was terminated I’m just going to teach you about it anyway. :) Yay AI ethics class with professor Casey! #aiethics #aieducation #LearnOnTikTok (https://www.tiktok.com/@professorcasey)
- [tiktok_professorcasey#f1108373] original sound - professorcasey
- [tiktok_professorcasey#85217036] It is a becoming a big trend on TikTok now! Click here: aiethics
- [tiktok_professorcasey#73658c3e] Check out Professor Casey Fiesler’s video! #TikTok >
- [tiktok_professorcasey#cffa2d58] I’ve been asked for #Tech #ethics recs & also I’m in love w/ @worsethanithot’s song. #computerscience #techtok
- [tiktok_professorcasey#2f25ad99] Thanks to all who participated in the #Tech Post Contest! Check out the winner showcase here: https://vt.tiktok.com/ZMAbjKkKA/
- [tiktok_professorcasey#c44db13f] Replying to @Dr D  Maybe a better analogy to student AI refusal is our long history of student resistance to frog dissections! I mean generative AI is not exactly like a 💀 frog but the punchline here is that I t

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

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=53, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=53, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=53, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=53, 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=53, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=99, 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=53, 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=99, 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=99, method=platform_profile

## Freshness
- profile_checked_days_ago: 99
- content_analysed_days_ago: 53
- audience_updated_days_ago: 53

## AI retrieval
- indexing_requests: 14
- 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_professorcasey
- Request removal: https://koinonlink.com/claim?k=tiktok_professorcasey
- Terms: https://koinonlink.com/for-ai