# IMDA (@imdasg) on tiktok

- id: koinon:creator:tiktok_imdasg
- url: https://koinonlink.com/kol/tiktok/imdasg
- schema_version: 1.3

## Identity
- platform: tiktok
- handle: imdasg
- platform_url: https://www.tiktok.com/@imdasg
- website: https://www.imda.gov.sg/
- country: Singapore
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 2745
- following: 25
- posts_observed: 1
- verified: false
- size_tier: nano

## 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
- subcategory: ai_tools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Cybersecurity careers, AI governance and safety, Youth tech competitions, Government tech innovation, Emerging tech trends 2026, Workplace culture in public tech agencies
- bio: Tech & media trends? We’re already on it. #IMDigitalArchitects

## Audience (inferred)
- status: present
- description: Young tech enthusiasts and aspiring professionals in Singapore, especially students and early-career individuals interested in cybersecurity, AI, and government tech roles
- roles: general_ai
- seniority: learner
- pain_points: Struggling to find real-world exposure to government tech careers, Not knowing how to break into high-impact tech roles like cybersecurity or AI governance, Feeling disconnected from authentic tech workplace culture, Lacking guidance on how to start a career in emerging tech fields
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.4
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 37
- authenticity_basis: profile_shape_only
- credibility_score: 37
- 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_imdasg#96f159ba] We’re here. #IMDAonTikTok #LifeAtIMDA #InsideIMDA (https://www.tiktok.com/@imdasg)
- [tiktok_imdasg#40c664b4] original sound - imdasg
- [tiktok_imdasg#3c923078] Check out IMDA’s video! #TikTok >
- [tiktok_imdasg#48aec576] Ever wondered what a cyber defender’s work trip looks like? 👀💻   Ours took us to DEF CON 34 in Las Vegas, where our team went up against top hackers from around the world and finished 2nd out of 52 teams at PhreakMe. All so that we can up our skills to better protect Singapore’
- [tiktok_imdasg#5d8e2e1a] original sound - bikerxcsyx
- [tiktok_imdasg#fbadb22c] Telephone
- [tiktok_imdasg#146b15a6] It is a becoming a big trend on TikTok now! Click here: defcon34
- [tiktok_imdasg#6b7e645e] Search:

## 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=44, 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=44, 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=44, method=platform_profile

## Freshness
- profile_checked_days_ago: 44
- 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_imdasg
- Request removal: https://koinonlink.com/claim?k=tiktok_imdasg
- Terms: https://koinonlink.com/for-ai