About Us >‏ Partners and Collaborators >‏ Collaboration Highlights >‏ Collaboration Highlights Details

Collaboration Highlights Details

QCRI and Al Jazeera launch predictive web analytics platform for news

Publication Date:
Collaboration Highlights, News

New platform developed by QCRI and Al Jazeera can predict visits to news articles by taking cues from social media


News organisations have vast archives of information, as well as a number of web analytic tools that aid in allocating editorial resources to cover different news events, and capitalise on this information. These tools allow editors and media managers to react to shifts in their audience’s interest, but what is lacking is a tool to help predict such shifts.

Qatar Computing Research Institute (QCRI) and Al Jazeera are announcing the launch of FAST (Forecast and Analytics of Social Media and Traffic), a platform that analyses in real-time the life cycle of news stories on the web and social media, and provides predictive analytics that gauge audience interest.

“The explosion of big data in the media domain has provided QCRI an excellent research opportunity to develop an innovative way to derive value from the information,” said Dr Ahmed Elmagarmid, Executive Director of QCRI. “Together with our valued partner, Al Jazeera, the QCRI team has developed a platform that will help shift the way media does business.”

“Al Jazeera English’s website thrives on good original content in news and features, dynamic ways of creativity through interactive and crowd sourcing methods, and up-to-date social media tools. We welcome working with QCRI in developing FAST as it allows us to understand the consumption of news and what is expected to do well in driving traffic forward. Analytics in predicting the future trend of a web story is a crucial component in understanding web traffic, this initiative is a component we welcome,” said Imad Musa, Head of Online for Al Jazeera English.

The study of consumption patterns of online news has attracted considerable attention from the research community for more than a decade, primarily making predictions on patterns as single time series to determine website traffic, number of visits, number of comments, and personalised news recommendations among others. Predicting user behaviour around news articles is valuable for a news organisation as it allows them to deliver more relevant and engaging content, as well as improve the allocation of resources to developing stories.

FAST introduces a unique approach to prediction by integrating different user interactions to a news article, including website visits, social media reactions, and search and referrals in order to forecast the number of page views an article will receive during its effective lifetime, which is approximately three days for most articles. This hybrid observation method is based on qualitative and quantitative analysis that determines typical patterns in the life cycle of news.

The underlying algorithms, which are the result of joint research by scientists at QCRI, Al Jazeera, Carnegie Mellon University and the MIT Center for Civic Media, have been validated using vast amounts of data made available by Al Jazeera English. The platform accurately models the overall traffic an article will receive by observing the first thirty to sixty minutes of social media reactions. Achieving the same prediction accuracy by using data from visits alone would require at least three hours of data. FAST continuously learns to produce more accurate predictions as data from the most recent related articles streams into the system.

“One of the main conclusions from our research is that social media reactions cannot be ignored when producing traffic predictions,” said Dr Carlos Castillo, Senior Scientist in QCRI’s Social Computing team.  “You need to take into account not only the number of Facebook shares and tweets each article receives, but also the richness of the discussion around an article in Twitter. This leads to much more accurate predictions than simply extrapolating from current page views.”

To access FAST, please visit http://fast.qcri.org/.

QCRI is a national research institute and a member of Qatar Foundation Research and Development, supporting Qatar’s mission to build the nation’s innovation and technology capacity. Al Jazeera is an award-winning international news network headquartered in Doha, Qatar.


Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

Economist story pic.JPG

Improving disaster response efforts through data


Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

Read More

Yazan Wired story pic.jpg

Your sloppy bitcoin drug deals will haunt you for years


Perhaps you bought some illegal narcotics on the Silk Road half a decade ago, back when that digital black market for every contraband imaginable was still online and bustling. You might already ...

Read More

Luis Luque El Correo.jpg

Entrevista con Luis Fernández Luque, cofundador de Salumedia e investigador del Qatar Computing Research Institute


Si quiere buscar un ejemplo de ciudadano del mundo, de los que al cabo del año vive y trabaja desde numerosos países, y a través de internet, esté donde esté, desarrolla en remoto actividades para ...

Read More



Eman interns pic 2017.jpg

QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

Read More

Past Events


(MLDAS 2018) Machine Learning and Data Analytics Symposium

Download ICS File 12/03/2018  - 13/03/2018 ,

Machine Learning and Data Analytics Symposium - MLDAS 2018 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

Read More

App Inventor.jpg

QCRI's Creative Space to hold free app inventor workshop

Download ICS File 01/02/2018 ,

QCRI is to offer an introduction to mobile app development workshop for boys and girls aged 13-16. Students will learn the basics of mobile app development using the App Inventor platform. The ...

Read More



QCRI’s Advanced Transcription System snares ARC’18 Best Innovation Award


Her Highness Sheikha Moza bint Nasser presents accolade for system that automatically converts speech to text using state-of-the-art speech recognition techniques.

Read More

AHmed Berlin1.jpg

QCRI signs three-year MoU with the Berlin Big Data Center


MoU will promote collaboration via an exchange of research, academic materials, faculty and research scholars.

Read More

CS Fair website.JPG

Hundreds attend QCRI's first Creative Space Fair


Attendance at inaugural event shows 'buoyant interest' in computing in Qatar.

Read More