# 배경훈 (@msitminister) on x

- id: koinon:creator:x_msitminister
- url: https://koinonlink.com/kol/x/msitminister
- schema_version: 1.4

## Identity
- platform: x
- handle: msitminister
- platform_url: https://twitter.com/msitminister
- website: https://www.msit.go.kr/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 3877
- following: 100
- posts_total: 285
- posts_observed: 1
- posts_per_day: 0.633
- account_age_days: 450
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.03792
- best_post_interactions: 147
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- 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: 0.87
- category_source: derived_from_recent_content
- topics: Government use of AI in public administration, AI applications in R&D budget evaluation, Public sector AI innovation and implementation, AI-driven document summarization and duplication detection
- bio: 배경훈 부총리 겸 과학기술정보통신부 장관 공식 X 계정입니다. (페이스북) https://t.co/nK5WsWBRoz (인스타그램) https://t.co/AZp9MdFab9

## Audience (inferred)
- status: present
- description: South Korean government officials and public sector tech policymakers, primarily mid-to-senior level civil servants in science, technology, and communications ministries
- roles: general_ai
- seniority: practitioner
- pain_points: Struggling with inefficient manual review of large volumes of R&D documentation, Facing challenges in detecting duplicate or overlapping research projects across departments, Need to justify budget allocation decisions with higher accuracy and transparency
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.4
- promotion_intent: 0.3
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 68
- authenticity_basis: engagement_observed
- credibility_score: 68
- 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
- [x_msitminister#6011e494] <과기정통부 초엘리트 신입사원, 연예인을 공개합니다> (https://twitter.com/msitminister/status/2060279484927119519)
- [x_msitminister#48c869c8] (연)구개발 (예)산심의를 돕는 (인)공지능, 연예인 시연 평가 영상입니다.
- [x_msitminister#23e9754b] 과기정통부는 수 많은 연구개발 문서를 자동으로 요약해주고 유사 중복 사업을 초고속으로 검증/정리해주는 예산심의 특화 AI 서비스 만들어 활용하고 있습니다.
- [x_msitminister#ae0fe50e] 누구나 활용 가능한 독자 AI파운데이션 모델을 활용하여 만들었고 실제 예산 심의에 활용하여 업무 효율성을 높이고자 합니다.
- [x_msitminister#5ef71ecf] 1차 시연평가에서 제가 다소 박한 점수를 줬으나 곧 연예인은 신입사원 수준을 넘어 전문가로 발전할 것이라 기대합니다.
- [x_msitminister#8cf1bc0d] 영상 재밌게 봐주시기 바랍니다.
- [x_msitminister#3ed211dc] https://t.co/eNfqVUH6Mf - @YouTube

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

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, 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=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=111, 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=0.5, freshness_days=77, 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=111, 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=111, method=platform_profile

## Freshness
- profile_checked_days_ago: 111
- content_analysed_days_ago: 77
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 9
- 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=x_msitminister
- Request removal: https://koinonlink.com/claim?k=x_msitminister
- Terms: https://koinonlink.com/for-ai