User-Generated Content: Ethics & Copyright

What This Means in Plain English

User-generated content (UGC) — eyewitness photos, mobile phone video, tweets, Instagram posts — has transformed breaking news coverage. When a major event occurs, the people at the scene often provide the first images and footage, long before any news crew arrives. But the legal and ethical obligations around using this content are widely misunderstood.

The core copyright principle is straightforward: the person who takes a photo or records a video generally owns the copyright. Posting it on Twitter, Instagram, or TikTok grants the platform a licence to display it — but that licence does not extend to news organisations. If you embed, screenshot, or download and republish UGC, you are using someone else’s copyright material and require either their permission or a legal exception.

Beyond copyright, there are ethical considerations around atrocity footage, identifying victims, the consent of those depicted, and the growing risk of deepfake and manipulated content presented as genuine UGC. Each requires its own editorial framework.

When This Matters Most

Red Flags

• !Using UGC without contacting the creator for permission, on the basis that it is "on the public internet"
• !Relying on platform terms of service as a licence to republish — they are not
• !Publishing graphic atrocity footage without editorial justification and appropriate audience warning
• !Using footage that identifies victims of violence without their family's consent
• !Publishing UGC that has been provided by a third party without tracing it back to the original creator
• !Screenshotting a photograph from social media and cropping out the watermark or creator credit
• !Failing to credit the UGC creator in published content
• !Publishing UGC from a conflict zone without any attempt to verify its claimed origin and date
• !Assuming that because content has been widely shared on social media it is authentic
• !Not checking whether UGC from a crime or terror scene might identify individuals who have not consented to being identified

Pre-Publication UGC Checklist

• Have I identified the copyright holder (original creator, not just the account sharing it)?
• Have I obtained permission from the copyright holder, or can I establish a clear legal exception?
• Have I verified the content is what it claims to be: correct location, date, and event?
• Have I reverse-image searched to check whether the content predates the claimed event?
• Have I considered whether the content identifies victims who have not consented to identification?
• For graphic content: is there sufficient editorial justification, and is there an appropriate content warning?
• Have I credited the creator in the published piece?
• For broadcast: have I applied the Ofcom Broadcasting Code Section 2 proportionality test?
• Have I considered whether this could be deepfake or manipulated content, and applied appropriate verification tools?
• Have I documented my permission request and any response for the editorial file?

Common Mistakes

• ›"It was publicly posted so it's in the public domain" — this is false. Public domain has a specific legal meaning; posting on social media does not put content into the public domain.
• ›Treating a DM permission response as a formal licence — get permission in writing via email where possible, and specify the intended use.
• ›Assuming that because Reuters or AP have used UGC it is cleared for other outlets — wire agencies clear content independently.
• ›Not checking whether a UGC creator is a minor — additional consent considerations apply.
• ›Failing to consider whether someone depicted in UGC has privacy rights — a person filming in a crowd does not automatically consent to their face appearing in national news.
• ›Embedding a tweet and assuming this is safe if the account is later deleted or the tweet removed — embed links break and you may be left with a missing asset and a broken page.
• ›Assuming AI-generation and deepfake only applies to clearly sophisticated content — simple photo manipulations (brightness, context-stripping) are far more common than synthetic video and equally dangerous.

Frequently Asked Questions