Download - Social Media Report from ASU Humanity Road
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Typhoon Haiyan
Analysis Prepared for Humanity Road by ASU
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Overview
• Category 5 “Super Typhoon”
• Made Landfall in Philippines on November 7,
2013
• Over 4000 fatalities confirmed so far
• Data used in this report was collected using
TweetTracker* from ASU. *http://tweettracker.fulton.asu.edu/
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Dataset Statistics Property Value
No. Tweets 609,453
Avg. Tweet Length (characters) 83.97
No. Retweets 192,339 (31.6%)
No. Geotagged Tweets 303,301 (49.8%)
No. Unique Users 172,600
No. URLs 50,161
No. Unique Hashtags 25,123
No. Unique Mentioned Users 64,576
First Tweet Thu Nov 07 09:00:43 MST 2013
Last Tweet Sat Nov 09 10:13:38 MST 2013
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Overall Trend Analysis General Trend of all tweets discussing the Typhoon.
Red vertical line indicates start of storm.
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“Tacloban” Trend
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“Unicef” Trend
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Client Analysis
• Studied the software users employ to tweet.
• Compared mobile and non-mobile clients.
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Mobile Client Trend
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Keyword Analysis
• Word cloud of top words used in disaster.
• Larger words occur more often in the time period.
Tag cloud of entire dataset.
Tag cloud from the hour of landfall.
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Geographic Analysis • Analyze location of geolocated tweets.
• Gives an understanding of where tweets are coming from.
24 Hours After Landfall 48 Hours After Landfall Landfall
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Authors Fred Morstatter
Shamanth Kumar
Mark Karlsrud
Daniel Howe
Grant Marshall
Data Mining and Machine Learning Lab at ASU