Mobile, social, big data

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  • Almost a majority of those in attendance possessed as powerful as a super computer from 20 years ago.YouTube Created a Spotlight page for organizing marathon goers videosA citizens tip
  • Social Media has allowed people to experience the news as it happens, live and unfilteredFalse Identication of suspect that filtered out into established news sources such as CNN and New York PostCriticisms: Falsely identified suspects, Speculation and other misinformation, letting the suspect see whree he was being tracked
  • Led to capture 4 days laterTo get a sense for the initial complexities of combining various data sets in the early moments of the investigation, consider this: In the aftermath of the bombing, cellular networks in the area were taxed beyond their capacity. AT&T put out a tweet urging those in the area to "please use text & we ask that you keep non-emergency calls to a minimum." There was speculation that the bombs could have been triggered remotely by mobile phones, prompting interest in traffic logs from area cell towers to try to get a fix on the culprits. That geo-location information could then be cross-checked against surveillance video and eyewitness photography – just another layer of data available to law enforcement when trying to stitch together a detailed and textured version of events. FBI had the services of local law enforcement, as well as manpower and technology from a collection of federal agencies -- including the Department of Homeland Security and the 16 other agencies that make up the intelligence community (IC).
  • Mobile, social, big data

    1. 1. MOBILE,SOCIAL,BIG DATA,& THE BOSTON MARATHONBOMBINGSBY KURT
    2. 2. MOBILE500,000 Spectators>90% Mobile Phone Ownership50% of that own Smart PhonesSensors:AudioImagingTimeGPSOthers
    3. 3. SOCIALTwitter:• Raw News & Commentary• Breaking UpdatesReddit:• Organized Live Updates• Crowdsourced Investigations• Random acts of kindnessYouTube:• Crowdsourced Identifcation• Raw Event Footage
    4. 4. BIG DATA10 terabytes of raw dataData Types Used:• cell phone tower call logs• text messages• social media data• photographs• video surveillance
    5. 5. IMPLICATIONSMobile: Democratization of Real-Time JournalismSocial: Crowd-Sourced Investigations and Online MobilizationBig Data: Faster identification, but not perfect yetFuture:• Swifter Investigations• Crime Prediction• Privacy Concerns

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