2021
Online search activity can help predict peaks in COVID-19 cases, by Kate Corry, UCL News
Covid outbreaks could be spotted weeks early by tracking Google searches, study finds, by Hannah Boland, The Telegraph (£)
2020
Google Searches Can Help Us Find Emerging Covid-19 Outbreaks, by Seth Stephens-Davidowitz, New York Times
Google searches could illuminate the shadowy spread of the coronavirus, by Eric Mack, CNET
Search results are helping tackle COVID-19 – now we should use them to develop policies, by Chris Stokel-Walker, Apolitical
How Your Google Search Data Is Used To Track Coronavirus, by Chris York, HuffPost UK
2019
Real-time flu tracking, by Charles Schmidt, Nature
2017
Why a computer could help you get a fair trial, by John Naughton, The Guardian
2016
This AI Can Accurately Predict the Outcome of Human Rights Trials, by Jordan Pearson, VICE (Motherboard)
AI predicts outcome of human rights cases, by Jane Wakefield, BBC
Artificial intelligence 'judge' developed by UCL computer scientists, by Chris Johnston, The Guardian
AI 'lawyer' correctly predicts outcomes of human rights trials, by Victoria Woollaston, WIRED
AI “Judge” Can Predict Rulings in Human Rights Cases, by Laura Wagner, Slate
AI trained on court texts predicts outcome of trials with remarkable accuracy, by Dyllan Furness, Digital Trends
AI predicts outcomes of human rights trials, by Bex Caygill, University College London News
2015
What you do on Twitter reveals how much money you make, by Cristina Rivero, The Washington Post
The words you use on Twitter predict how much you earn, by Helena Horton, The Telegraph
Θα φέρει το Twitter το τέλος των δημοσκόπων;, by Michael Dourmousoglou, protagon (gr)
How you talk on Twitter can tell the world how much money you make, by Derrick Harris, Fortune
Twitter Behavior Can Predict Users' Income Level, by Michele Berger, Penn News
People can guess your income based on your tweets, by Jason Hamer, redOrbit
The power of web data: Assessing the impact of health interventions, by i-sense, EPSRC project
New collaboration with Google to track flu outbreaks, by i-sense, EPSRC project
2014
A Year in Review: 2013 PLOS ONE Papers in the Media, by Michelle Dohm, PLOS ONE Community Blog
Η λογοτεχνία, καθρέφτης της κρίσης, Ελευθεροτυπία (gr)
Literature gloom mirrors economic misery, study finds, by Alison Flood, The Guardian
Why Wasn’t It ‘Grapes of Glee’? Study of Books Finds Economic Link, by Pam Belluck, New York Times
Gloomy vocabulary in books reflects poor economic climate, by Josephine Lethbridge, The Conversation
2013
Analyzing Digitized Literature, by Bradley Cornelius, The Academic Minute, WAMC/NPR
Fold Up Your Handkerchiefs: Books Have Gotten Less ‘Emotional,’ Study Says, by Jennifer Schuessler, New York Times
Eek! Study finds books are getting scarier, by Alyssa Rosenberg, Slate
Text mining uncovers British reserve and US emotion, by Philip Ball, Nature News
What are you in the mood for?: Emotional trends in 20th century books, by Souri Somphanith, PLOS ONE Community Blog
Expression of emotion in books declined during 20th century, study finds, University of Sheffield News
2012
Twitter Study Shows an Increase in Negative Mood Leading Up to Last Year's London Riots, by Chuck Thomson, The Socionomist
A PhD in Twitter, by Tom Savage, 3Desk
Revealed: The Face of Twitter, Geeks are Sexy
Δημοσκόπηση από το... Twitter, by Fanouris Drakakis, Deasy (gr)
Can Twitter Tell Us What We're Feeling?, by Sonia Paul, Mashable
Twitter reveals effects of the recession on public mood, by Jacob Aron, New Scientist
Can social media detect the changes in public mood?, University of Bristol News & Science Daily
Costing the Earth: Outbreak, by Martin Poyntz-Roberts, BBC Radio 4
Diagnosing flu symptoms with social media, Natural Hazards Observer
2011
Brits study forecasting flu outbreaks using Twitter, by Linda Chalmer Zemel, Examiner
And it's raining, SkillZone Newsletter
Could social media be used to detect disease outbreaks?, University of Bristol News & Science Daily
Peek into future, by John Reji, mydigitalfc
2010
Engines of the future: The cyber crystal ball, by Phil McKenna, New Scientist
How Twitter Could Better Predict Disease Outbreaks, by Christopher Mims, MIT Technology Review