Editorial Policy

Every event on Droppa originates from a named public source — Eventbrite, Meetup, Devpost, Luma, official organizer feeds, or a direct submission from the organizer. We always link back to the original listing, and we never present someone else's event as our own.

Listings pass automated quality gates before publication: duplicate detection, spam filtering, source-reputation scoring, and a 0–100 quality score. Events that fail these gates are held for review or rejected. Past events are removed from search-engine indexing.

Droppa uses AI as an editorial tool, not as a replacement for judgment. AI systems normalize event data, produce summaries, classify categories, and draft our monthly data reports from statistics computed directly from our own database.

Numbers in our data reports are calculated in code from our live database — the AI writes the narrative around them but cannot invent figures. Event analysis sections are generated from database comparisons (counts, prices, deadlines), not from free-form AI writing.

Joseph Anderson, founder & curation editor, supervises the entire pipeline: which sources are admitted, where quality thresholds sit, and what gets published. Community-submitted events are reviewed by a human before going live. Blog content is spot-checked after publication, and anything inaccurate is corrected or removed.

If an event listing is wrong, outdated, or should not be listed, the organizer or any reader can contact us. We aim to correct or remove flagged listings within 48 hours. Material corrections to blog articles are noted in the article itself.

Droppa may display advertising and may earn affiliate commissions on ticket links. Advertising never influences which events we list, how they are scored, or what our data reports say. Sponsored placements, if any, are always labeled as such.