Why newsrooms need Nour
Every newsroom that accepts tips from the public runs into one simple, painful fact: the overwhelming majority of inbound messages aren't news. When we analysed more than 14,000 real messages sent to a news page, roughly 93% of the traffic turned out to be greetings, prayers, emoji and reactions to posts — only 7% were reports worth a journalist's attention.
The problem is that the 7% is buried inside the 93%. A journalist sifting by hand pays the price three times over:
- Wasted hours: daily time lost opening "hello" and "👍" messages — time that should have gone into verification and editing.
- Missed scoops: the genuinely urgent report waits in line behind hundreds of routine messages. In news, one hour of delay can cost the whole story.
- Attention fatigue: when everything arrives looking the same, you stop telling things apart. Constant manual sifting consumes a journalist's most valuable tool — attention.
Nour isn't a replacement for the journalist — it takes away the part that isn't worth their time, and leaves the part no one else can do: editorial judgement.
What changes with Nour?
The moment a message arrives, a smart triage layer classifies it in seconds: news, news + video, news + photo, or not important. Story replies and reactions are marked "not important" instantly — without interrupting anyone and without spending a cent on AI.
Real reports get very different treatment: a confidence score, a list of what's missing (place? time? visual evidence?), and a check for other reports corroborating the same event. If details are missing, an intake agent asks the source a few simple questions — then hands everything to a human journalist.
The practical result
A journalist opens the inbox and finds a short list of classified, scored reports instead of a sea of messages. The urgent report arrives with a red badge and an instant alert. The one with video is labelled. And anything that needs a human decision waits in a clear review queue.
That isn't a technical luxury — it's the difference between a newsroom chasing messages and a newsroom chasing stories.