Social-media data:

bigger & biggerTrends in Communication & Information Technology

JOUR 4871-003

4,629 tweets per second

400 million tweets a day

Social-media data is now MASSIVE

Twitter “firehose”

Processes 3 billion social activities a day

Across 20 social networks and commenting services

How can journalists use social-media data?

Think about some answerswhile I show you somenew services to tap into

social media data...

Geofeedia: Powerful breaking-news toolDemo

Social-media data in your pocketDemo

The ‘social cocktail’

Analyzing social data frommultiple 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

Datasift: Big social dataDemo

Datasift: Big social data for journalists

Gnip: Big (Boulder) social data

Dataminr: Twitter data for active listeningand trend spotting

Topsy.com: Handy free Twitter analyticsDemo

USC’s live Twitter Sentiment Analysis tool

Last night’s VP debate

http://politics.twittersentiment.org/streams/

A Twitter Sentiment Visualization tool

tweet viz Twitter Sentiment Visualization

http://www.csc.ncsu.edu/faculty/healey/tweet_viz/tweet_app/

Demo

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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