For the course "Trends in Communication & Information Technology," JOUR 4871-003, fall 2012, CU-Boulder

1. Social-media data:
bigger & bigger
Trends in Communication & Information Technology
JOUR 4871-003

2. Social-media data is now MASSIVE
4,629 tweets per second Twitter “firehose”
400 million tweets a day
Processes 3 billion social activities a day
Across 20 social networks and commenting
services

3. How can journalists use social-media data?
Think about some answers
while I show you some
new services to tap into
social media data...

4. Demo
Geofeedia: Powerful breaking-news tool

5. Demo
Social-media data in your pocket

6. The ‘social cocktail’
Analyzing social data from
multiple publishers (“mixology”)
TWITTER: Fast, concise; good for breaking news,
emerging conversations, public sentiment; location
BLOG COMMENTS: (Disqus, IntenseDebate) Identify
engagement and controversy
BLOGS: Slower, thoughtful analysis; identify trends
FACEBOOK: More personal content; identify lifestyle
trends

7. Demo
Datasift: Big social data

8. Datasift: Big social data for journalists

9. Gnip: Big (Boulder) social data

10. Dataminr: Twitter data for active listening
and trend spotting

11. Demo
Topsy.com: Handy free Twitter analytics

12. USC’s live Twitter Sentiment Analysis tool
http://politics.twittersentiment.org/streams/
Last night’s VP debate

13. Demo
A Twitter Sentiment Visualization tool
http://www.csc.ncsu.edu/faculty/healey/tweet_viz/tweet_app/
tweet viz
Twitter Sentiment Visualization

14. How journalists can use social-media data
Track disease outbreaks by location, region
Reaction to movie midnight premier (even at a single
theater): positive vs. negative tweets
Sentiment in tweets: compare Boulder & Ft. Collins
after CU-CSU football game
Most talked-about Super Bowl ads (across several
social media services’ firehoses)
Find which celebrities are skiing in Aspen
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