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Good practice Imported

Taiwan's MODA/NICS Real-Time AI Monitoring for Online Fraud and Disinformation

Taiwan · Taipei · See the Taiwan profile · See the Taipei profile

Evidence: Descriptive / self-reported Top 62% 53/100 · Ask Evidence Copilot about this practice

Taiwan's Ministry of Digital Affairs runs an AI system inspecting up to 40,000 online posts daily for fraud and deepfakes, flagging 5,000–10,000 suspected cases monthly, though disinformation detection remains secondary to its fraud-fighting core function.

30,000-40,000
Content inspected per day (May 2024)
5,000-10,000 per month
Suspected cases flagged (May 2024)
900,000+ per month
Inspections logged (May 2024)
Taiwan's MODA/NICS Real-Time AI Monitoring for Online Fraud and Disinformation

Details

Maturity
Established
Promoter
National Center for Cybersecurity Technology (NICS), Ministry of Digital Affairs (MODA)
Period
2022–present
Keywords
Digital government, Cybersecurity, Countering disinformation

Context

Taiwan's National Center for Cybersecurity Technology (NICS), under the Ministry of Digital Affairs (established August 2022), runs a round-the-clock AI monitoring system combining NLP, big-data analytics and deepfake-detection modules to scan online ads, videos and social posts for fraud and disinformation.

Results

As of May 2024, the system inspected up to 30,000-40,000 pieces of content per day, flagging an estimated 5,000-10,000 suspected cases per month with more than 900,000 inspections logged monthly. MODA's rapid-response teams aim to issue public counter-narratives within roughly 60 minutes of a flagged falsehood spreading.

Conclusions

No independent technical audit, accuracy rate, or false-positive rate for the AI classifiers has been published; the government's own figures are self-reported. Fraud detection, not disinformation specifically, is the system's most quantified function, so its disinformation-countering effectiveness is plausible but only partially evidenced.

Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
NICS AI monitoring analysts, MODA rapid-response counter-narrative teams

Conditions for success

  • Dedicated national cybersecurity/digital-affairs ministry with round-the-clock monitoring capacity
  • Combined NLP, big-data and deepfake-detection pipeline

Common failure modes

  • No independent technical audit or published accuracy/false-positive rates

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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