Accessibility Settings

color options

monochrome muted color dark

reading tools

isolation ruler



Using Twitter to Find People at the Scene of a Breaking Story

As news stories break, journalists find themselves wanting to speak to members of the public. They could have witnessed an incident or may have been affected by an event. Their views count and they enhance our reports with a human angle.

There are many ways to locate ordinary people in extraordinary circumstances, but we don’t always know how our approaches will be received, or indeed if our messages to them will be read at all.

This is where Twitter comes into its own. If someone is tweeting from a situation, they obviously don’t mind sharing their views with the world and if they are currently active online you stand a good chance of getting a speedy response from them.

So how do you find someone genuinely tweeting from the scene of an incident or event? Of course a simple keyword search in Twitter will help if they have made reference to the situation you’re investigating. But you will probably find yourself drowning in tweets from people who are commenting on the story but aren’t necessarily at the scene.

Timely tweets

You might find it useful to filter out ‘background noise’ and focus on tweets that were posted around the time an incident occurred. Twitter’s own advanced search can be useful for many things but it won’t allow you to specify a timeframe. Instead, you can specify a date range in the search box using the since:YYYY-MM-DD and until:YYYY-MM-DD search operators.

Twitter1Specifying a location

Of course people may make reference to their current location in their tweets but with the 140-character limit you can’t always rely on this.

Twitter’s advanced search allows you to specify a broad location, and you might want to suggest a particular area by specifying the language a message was tweeted in.

Tracing by location is possible because many Twitter users set their privacy options to display this information. Twitter allows users to manually tag an individual tweet with any chosen location.

Hoaxes are not unheard of, so you must take special care to check that someone is truly where they say they are. I sent the tweet (below) from Ealing in West London, but I manually tagged it with ‘Norway’.

Arguably a more reliable indication of a person’s location can be taken by using the data provided from the Twitter app on a user’s mobile device. If they have enabled location services, precise co-ordinates are included with each tweet.

When you want to search for tweets made in a certain location, you’ll need the co-ordinates. Happily, there are a few sites that let you find them., for instance, traces the longitude and latitude of an address and allows you to copy the co-ordinates in a format that is friendly to the Twitter search box.


The Palace of Westminster in London is found at latitude 51.499167, longitude -0.124722. These numbers need to be entered into the Twitter search box in the format: keyword (optional) geocode:latitude,longitude,radius

So a search for tweets mentioning Big Ben made, within a 0.2km radius of the Houses of Parliament, would be:

“Big Ben” geocode:51.499167,-0.124722,0.2km


Other services like HootSuite and TweetDeck allow similar search functionality, and information about the Twitter app’s geolocation services can be found on its website.


Paul Myers is the BBC College of Journalism‘s Internet Research Specialist. His role involves helping TV & Radio programs conduct investigations that involve trickier aspects of Internet research. He also hosts regular training courses inside and outside the BBC. Blending his previous career as a computer programmer with  journalism, Paul pioneered many online research techniques now widely used. 

This post originally appeared on the blog of the College of Journalism at the BBC Academy. Cross-posted with permission.

Republish our articles for free, online or in print, under a Creative Commons license.

Republish this article

Material from GIJN’s website is generally available for republication under a Creative Commons Attribution-NonCommercial 4.0 International license. Images usually are published under a different license, so we advise you to use alternatives or contact us regarding permission. Here are our full terms for republication. You must credit the author, link to the original story, and name GIJN as the first publisher. For any queries or to send us a courtesy republication note, write to

Read Next

NYTimes Official Obituaries in China data journalism COVID death estimates

Data Journalism Data Journalism Top 10

Data Journalism Top 10: Elon Musk’s Tweets, Chart-Topping Hits, China’s COVID Toll (by Obit)

This week’s Top 10 in data journalism looks at Elon Musk’s Tweets, tracking COVID in China via official obituaries, Kontinentalist’s piece on rubber’s history in colonial Malaya, El Confidencial’s analysis of immigration in Spain, The Economist’s look into the secret of creating chart-topping hits, and more.

Data Journalism

Data Journalism Top 10: Russia’s Achilles’ Heel, Baby Names, Bike Shortage, Dataviz Color Guide

Our weekly look at some of the most popular data journalism stories on Twitter examines the logistical Achilles’ heel of the Russian invasion, ongoing gaps in the sanctions of Russian oligarchs, Europe’s selective support for refugees, a historical analysis of Scottish baby names, and a deep dive into how organizations should choose their data visualization color palettes.