Why Deploy Abuse Detection If It's Not 100% Accurate?
Tisane offers high accuracy, but like all natural language processing systems, it is not 100% perfect. Nor are human moderators.
Why Use It Anyway?
- Deterrence Against Offenders
- Just as law enforcement cannot be everywhere, moderation tools do not need to be perfect to be effective.
- The mere presence of an abuse detection system discourages bad actors from engaging in harmful behavior.
- Speed and Efficiency
- NLP systems can analyze large volumes of content instantly, something human moderators cannot scale to match.
- Even if some cases require human review, the system significantly reduces the workload.
- Transparency and Consistency
- Automated moderation ensures rules are applied fairly, reducing bias and human inconsistency.
- Unlike human moderators, NLP systems do not get tired, emotional, or overwhelmed.
- Real-World Comparisons
- No police force prevents all crime, yet they reduce incidents and deter criminals.
- No spam filter catches 100% of spam, yet they dramatically improve email usability.
- No lock is 100% tamper-proof, yet it's much safer to keep the door locked than leave it open at all times.
- Continuous Improvement
- Tisane Labs is committed to improving accuracy over time.
- Real-world usage helps fine-tune detection models and reduce false positives and negatives.
For reference, even serious crimes often remain unsolved (source), yet law enforcement remains essential. Similarly, abuse detection tools are valuable even if they aren’t perfect.