Twitcident - International Risk Governance Council...Pukkelpop 2011 Storm incident with casualties ....
Transcript of Twitcident - International Risk Governance Council...Pukkelpop 2011 Storm incident with casualties ....
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Twitcident Filtering Twitter to obtain real-time intelligence
Richard Stronkman, Founder & CEO
June 2012 Follow us via @twitcidentapp or @rstronkman
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Today’s challenges
“Polling meaningful information” “Sifting thousands of tweets during hurricane Irene” “Getting situational awareness” “Finding the eye’s on the ground” “
“Twitter is quick and timely” “Messages can be overwhelming” ”
mr. Kaji Japan Cabinet Secretariat
mr. Farmer FEMA
“Finding actionable information” “Providing timely reaction” “
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Contents
1. Introduction
2. What is Twitcident?
3. Two case studies
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Partners
http://twitcident.org
http://tno.nl/twitcident
http://twitcident.com
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Projects Research
.eu
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Why monitor Twitter?
• 340 million tweets per day (source: Twitter, ‘12)
• Netherlands ranks #1 in Twitter penetration (source: ComScore, ’11)
• Twitter users publish about “anything”
• Work/private life
• Interesting events
• Etc.
• We view users as social sensors and citizen journalists
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Our goals
1. Prevention
• Twitter users publish early signals that might indicate an increased
risk or potential incident.
2. Law enforcement
• (Eye-witness) Twitter users disseminate information about incidents
which can support operational emergency services.
3. Post analyses
• Analyzing incident data in retrospect to measure the effectiveness of
emergency services.
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Pukkelpop 2011 Storm incident with casualties
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80.000 tweets in four hours
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600 tweets per minute
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Could we see this impact coming?
Semantics 25 minuten before incident
1. Weather: storm, cloud-burst, wind, …. 2. Locations: Brussel, Gent, Hasselt, …
3. Intensity: heavy, crazy, massive… 4. Impact: hail balls, falling trees…
Impact storm Why is there a peak?
“ ”
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Damage reports from the incident site
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Real-time intelligence by photos
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Case: Utrecht Queen’s Day 2012
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Real-time incident dashboard
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Classified tweets on Terrorism
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Results Queen’s Day
• Data
• 24 hours: 62.491 tweets collected
• Twitcident made it easy to find ±200 relevant tweets
• Among relevant information
• Increased risk towards Queen and Royal family
• Presence of hooligans in Utrecht
• Result: Police visits suspects based on data found by Twitcident
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Challenges
1. Identifying rumor propagation
• Social correcting: we try to measure ‘doubt’ in replies to rumors.
2. Finding quality information
• We try to find ‘eye-witness reports’ and filter away all noise
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Technology
http://wis.ewi.tudelft.nl/twitcident
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Thank you
twitcident.com
@twitcidentapp @rstronkman