Wednesday, July 3, 2013

Case Study: Protesting the G8

The 39th Annual G8 Summit was held on June 17-18, 2013 at the Lough Erne Golf Resort in Enniskillen, Northern Ireland. Traditionally, the G8 Summit attracts protests and civil disobedience. As it was in Northern Ireland this year, we expected increased activity leading up to the Summit. In order to test our event monitoring analytics, we decided to monitor social media chatter about the G8 Summit beginning three weeks before the event and lasting throughout the end of the Summit to detect any acts of civil disobedience that may occur. For the purpose of simplicity, we will focus on a group of events that occurred on June 11, 2013.


Identifying Protest Organizers and Locations


One of the first sources of information we identified was an anti-G8 group calling themselves StopG8. Their website was a rich source of information about protests scheduled for the week leading up to the Summit. StopG8 listed key events and maintained a complete calendar of activities. One of the most important items found on the website was a map of protests aimed at the West End of London on June 11, 2013, complete with a manifesto against financial greed and corruption. This event was commonly referred to as the Carnival Against Capitalism and was tagged as #J11 on social media. The map of these demonstrations became one of the most widespread images leading up to the G8 Summit. Using this information about #J11 and associated activities, we were able to identify individuals who were attending these protests.

Identifying and Monitoring Participants

Once we identified the organizing force behind the protests and the language associated with these events, we were able to construct a network of individuals interacting with one another on social media. Network mapping allowed us to begin tracking participants and monitoring their activities throughout the duration of the protests. Using social media posts from protesters and journalists, we were able to harvest raw data from the ground. A good source of raw footage and commentary throughout #J11 was journalist Jules Mattsson.




The raw source data from Mr. Mattsson provided real-time footage of the activity occurring at #J11. Using this data, we were able to see events as they unfolded and track the movements of participants as they moved throughout London. Our analysts were then equipped with emerging intelligence to analyze the changing landscape of #J11.

Identifying Changing Circumstances

Earlier in our research, we identified information about the Convergence Centre where people could stay during the protests. This location was meant to be a safe house for individuals participating in the events leading up to the G8 Summit. However, it was raided on #J11. 


After the raid, individuals needed to find new locations to stay at for the night. StopG8 provided new contact information for protesters to use to find new lodging accommodations.


Analysis of emerging social media data allowed our analysts to stay current on the rapidly unfolding circumstances surrounding #J11. After vetting information for authenticity, our team was equipped with the information necessary to provide real-time intelligence.

Conclusion

Although there was a mountain of big data to scale regarding activities related to the G8 Summit, it was readily available for analysis. Organizers and protesters routinely harness the power of social media to communicate with one another and expand their networks and sphere of influence. Social media has the power to identify pieces of raw data which identify locations, individuals, networks, and activities important to emerging events. It is up to us as analysts to identify these rich data sources and use them as part of our investigative and intelligence solutions.

About CES PRISM Blog

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The CES PRISM blog is the place where CES shares the newest developments in social media sites and tools, data analytics, eDiscovery, investigations, and intelligence. We will also share workflow tips and tricks, case studies, and the developmental progress of our open source social media research and analysis tool, PRISM. Our goal is to open a dialogue with the community which allows all of us to learn together.