Social Computing

Soc comp team

             News Flash! Social Computing has 3 papers and 2 demos accepted at ICWSM 2014


The Social Computing group is a multi-disciplinary team of social scientists, computer scientists, and software engineers. We are interested in understanding various social phenomena through the analysis of social media, and in using social media data to fuel time-critical applications. We focus on extracting relevant and credible information communicated on microblogging platforms, mass media news sites, and other online sources. Our goal is to support decisions made by policy makers, emergency responders, journalists and others who benefit from knowledge and information generated in online media.

Our work includes the analysis of online communications regarding current news, political events, humanitarian crises, and mass emergencies. We draw from techniques in several areas including: discourse analysis, natural language processing, sociology of disaster, database management, machine learning, large-scale data mining, and information retrieval. We work closely with the Distributed Systems team to develop our solutions on top of a robust architecture, with the Data Analytics team to leverage scalable and efficient processing of large data volumes. We also collaborate with the Arabic Language Technologies team to generate scientific work that is locally relevant to the region while producing global impact.

Read more about our research focus areas »

Highlights as of March 2014

  • In computational social science we are using social media data to gain insights into the “real world.” In one of our current projects, we look at whether large amounts of Twitter data provide insight into food consumption patterns, i.e. “do you eat what you tweet?” Understanding the social dimension of food consumption has important implications concerning obesity, diabetes, and overall health.
  • In social media and news, we are continuing our collaboration with Al Jazeera on projects related to providing tools for content producers, journalists and editors. We are improving the accuracy of FAST - Predictive Web Analytics by incorporating content factors, and working on new systems to help editors select related articles when writing a story. We also study international news media--specifically bias and agenda-setting. An overview of recent results can be found in this presentation.
  • In crisis computing, our primary focus is on AIDR - Artificial Intelligence for Disaster Response, a platform for automatic classification of microblog posts generated during mass emergencies. We are also researching the role of Twitter in ongoing crises, and looking at the use of automatically-classified messages to help coordinate the allocation of resources in emergency situations.
See some projects and demos from our group and browse through our latest publications »

We are hiring!

We are looking for scientists with a strong background in computational social science, information retrieval, machine learning, data mining, human-computer interaction, graph theory, text mining, or other topics, and that are passionate about social media data and applications. 

Visit our Join Us page to see more information about our open positions.

For technical or informational questions, please send an email to QCRI Careers with the name of the group to whom you’re directing your question, e.g. ALT, CS&E, Cyber Security, Data Analytics, Distributed Systems or Social Computing, in the subject line.

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Upcoming Events

2014

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Arabic Language Technologies Roundtable - Spring 2014

Download ICS File 23/04/2014, Tornado Tower, 5th floor, West bay

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Download ICS File 26/05/2014 - 28/05/2014, Qatar National Convention Centre

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Download ICS File 25/10/2014 - 29/10/2014, Renaissance Hotel, Doha, Qatar

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