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Case files / ai media monitoring

LALIGA MOOD: turn hate monitoring into public media

Mindshare and Hogarth used AI classification to monitor hate speech around Spanish football and publish a weekly MOOD score.

Campaign period: 2025Source published: Date not statedArchive entry prepared: 15 September 2026

Retrospective coverage, prepared in September 2026 from the original record.

A circular data visual reads MOOD LALIGA.
LALIGA MOOD identity visual published by WPP. LALIGA / Mindshare / Hogarth; image published by WPP.

Reported execution

WPP says MOOD monitored football social conversation in real time, produced a weekly score and shared findings across LALIGA channels to make online abuse visible.

Our reading

A public index changes monitoring from a backstage compliance activity into a communications device. That can concentrate attention, but a score inevitably simplifies varied speech and context.

Production and evidence limits

Multilingual classification, appeals and data governance are central to legitimacy. WPP documents rules and reported outcomes, but not false-positive rates, moderation decisions or an independent causal study of hate reduction.

Sources & limits

WPP agency case study; reported reductions are campaign claims and classification error rates are not published.

  1. WPP — LALIGA’s MOOD — source publication date not stated.

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