Legal framework (TDM · Art. 4 EU Directive 2019/790), ecosystem, in-house AI and strategic decisions. Institutional thinking from TrawlingWeb.
TDM failures rarely happen in the model. They happen upstream. Learn where Text and Data Mining pipelines actually break and how to fix them.
Read article →How the TrawlingWeb ecosystem connects public data processing, TDM infrastructure, and analytical outputs so organisations can act on what they find — not just store it.
An alert fired. Now what? This guide walks through the first 60 minutes of a structured response to a high-priority mention — from triage to action.
AI models don't break suddenly — they degrade silently when public data drifts. Learn how to detect the early signals before your outputs become unreliable.
Most mention monitoring setups break not at the tool level but at the organizational level. Here's why — and what to change to make monitoring actually useful.
Freshness in public internet data isn't a feature — it's a structural choice. Learn how data infrastructure design directly impacts analytical relevance and TDM quality.
Volume and coverage aren't enough in mention monitoring. The real failure is decision lag — the gap between a signal appearing and your team acting on it. Here's how to close it.
Art. 4 of EU Directive 2019/790 grants TDM rights — but only if you can prove it. Learn what documentation actually protects your TDM pipeline in practice.
Analysing the public universe of the internet only works when structure precedes volume. Here's how to build a framework that turns raw signals into actionable insight.
The public internet universe is vast but not infinite. Learn how to define analytical boundaries, prioritize sources, and extract reliable signals from public data.
False positives in mention monitoring drain analyst time and erode trust in data pipelines. Learn how to separate noise from actionable signals at scale.
False positives in mention monitoring cost more than missed signals. Learn how to build a signal discipline that separates noise from decisions worth taking.