Multilingual moderation · 2026 buyer's guide
Comment moderation in every language your readers write in.
Moderation quality collapses outside the languages a model was trained on, and most toxicity models are English-first. A European newsroom, or a group publishing across several countries, needs FR, DE, IT, ES, PT and EN handled natively, in one pipeline, not a different tool per language. That is what Logora is built for.
The six questions that decide it
What to actually check for multilingual moderation.
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01
Six press languages, handled natively
A model that only works well in English will wave through, or wrongly flag, comments in every other language your readers use. Machine-translating first loses the nuance that moderation depends on.
Logora : One model handles FR, DE, IT, ES, PT-BR and EN natively, trained on 1M+ contributions from European newsrooms, not translated on the fly.
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02
Trained on press content, not generic toxicity
Generic toxicity models over-flag opinion and heated but legitimate debate, and the false-positive rate is worse in the languages they saw least of.
Logora : The model is tuned on press comments, so opinion pieces and strong debate are not treated as abuse, and it is tunable per outlet and per language.
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03
One pipeline and one admin, across languages
Running a separate moderation tool per market means separate rules, separate dashboards and no shared view. It does not scale for a group.
Logora : All languages run through one pipeline and one editorial admin, so a group moderates every title from the same place with consistent rules.
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04
Human-in-the-loop for the ambiguous minority
Full automation misses context, sarcasm and code-switching between languages. Pure human review does not scale to a busy multilingual comment section.
Logora : Around 85% of contributions are auto-handled, and the ambiguous rest go to a fast human queue with full context, in the right language.
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05
Statements of reasons in the reader’s language
The DSA expects a statement of reasons for each moderation decision. Sending it in the wrong language is not much of a statement.
Logora : Logora generates the statement of reasons in the reader’s own language for every decision, journalised for the annual transparency report.
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06
On-site and social channels, same languages
Newsrooms moderate on-site comments and their Instagram, YouTube and Facebook comments, often in several languages at once. Two disconnected tools is twice the work.
Logora : The same multilingual pipeline covers on-site comments (around 85% auto) and social channels (around 95% auto) from one admin.
What you get
Multilingual moderation, in one pipeline.
The same setup whether you publish in one language or six. No per-language add-on tier.
- Native moderation in FR · DE · IT · ES · PT-BR · EN
- Press-tuned model (low false positives on opinion)
- AI moderation (85% on-site auto, 15% human review)
- ~95% auto-handling on social channels
- Statements of reasons in the reader’s language
- One editorial admin across all languages
- Per-outlet and per-language tuning
- DSA-grade transparency report
- EU hosting (OVH, France), GDPR by default
- Public REST API + webhooks
- On-site comments + Instagram / YouTube / Facebook
- 99.96% API uptime (status.logora.fr)
Production numbers
What it actually delivers.
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6
press languages handled natively (FR, DE, IT, ES, PT, EN)
Model coverage
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85%
of on-site toxic content auto-handled, leaving the team the 15% that needs judgement
Production benchmark
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~95%
auto-handling on social channels (Instagram, YouTube, Facebook comments)
Social moderation
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99.96%
API uptime in Q1 2026, monitored publicly on status.logora.fr
status.logora.fr
Questions buyers ask
Straight answers before you shortlist.
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What languages does Logora comment moderation support?
The model handles French, German, Italian, Spanish, Portuguese (PT-BR) and English natively, trained on more than a million contributions from European newsrooms rather than machine-translated at runtime. It runs on-site comments and social channels through the same pipeline. See the product detail on AI moderation.
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Can it moderate comments in several languages at once?
Yes. All supported languages run through one pipeline and one editorial admin, so a group publishing across countries moderates every title from the same place with consistent rules, rather than running a separate tool per market.
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How does multilingual moderation keep false positives down?
The model is tuned on press comments, not generic toxicity, so opinion pieces and heated but legitimate debate are not treated as abuse. It is tunable per outlet and per language, and around 85% of contributions are auto-handled with the ambiguous rest routed to a human queue.
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Are DSA statements of reasons available in each language?
Yes. Logora generates the statement of reasons for each moderation decision in the reader’s own language, journalised so the annual transparency report exports without manual work. Compare the moderation angle on our comment moderation software page.
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Does it also moderate our social media comments?
It does. The same multilingual pipeline covers on-site comments (around 85% auto) and Instagram, YouTube and Facebook comments (around 95% auto) from one admin. See the social media moderation guide.
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Where is moderation processed and hosted?
EU-only, on OVH in France, GDPR by default with a signed Article 28 Data Processing Agreement. No data leaves the EU, so there is no transatlantic transfer to reassess under Schrems II.
Moderating across languages this quarter?
A 60-min call with Pierre or Henry. We look at your languages, your volume and your false-positive pain, and come back with a scoped pilot and a number. Most pilots start free for 1-2 months.
Wie viel staatliche Förderung verträgt die deutsche Autoindustrie?
Wirtschaft · 3 Std · 847 Reaktionen · Moderiert von der Redaktion
Christine G. · vor 2 Std · ★ Top contributor
Subventionen ohne Bedingungen zu Standortzusagen sind politisch indefensibel. Der Steuerzahler trägt das Risiko, die Konzerne nehmen die Gewinne mit.
▲ 284 · ↩ 18 Antworten · Empfehlung der Redaktion
Jörg S. · vor 1 Std
Standortzusagen wurden in den 2010ern getestet, am Ende nicht eingehalten. Bedingungen müssen vertraglich an Beschäftigungszahlen geknüpft sein, nicht an Absichtserklärungen.
▲ 137 · ↩ 4 Antworten
Maria K. · vor 32 Min · Verifizierter Abonnent
Die wirklich offene Frage ist die der Transformation. Subventionen für die Elektrifizierung der Lieferketten, ja. Subventionen für den Status quo, nein.
▲ 92 · ↩ Antworten