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ELECTED OFFICIALS
ON SOCIAL MEDIA
Libby Hemphill, PhD
Assistant Professor of Communication and
Information Studies
Illinois Institute of Technology
libbyh@gmail.com
Questions from Group
•   What’s the bias on Twitter?
•   Are Republicans more tightly connected?
•   - What do they do in free time? (Which bars do they go to?)
    - Where are they tweeting from? (location)
    - What do they respond to?
    - How engaging are they (tweets, not officials?)
    - Tweet-content versus voting record
    - What lobbyists/special interest groups do they tweet about/follow/etc?
    - How much do they interact (via tweets) with outside groups
    - How does their tweeting correlate to offline activity (eg polls)
    - Is Twitter it (for social media), eg., #fb
    - What is the sentiment of their posts
    - Diffs between Individual vs. party posts
    - How many people/Who do they follow
    - Adoption (Are they/how are they? ...do they like it?)
    - demographics of their followers
    - differences between "official" versus campaign vs personal (accounts/how many, what kind)
    - How many tweets are "spontaneous vs crafted"
    - How do talking points change/evolve over time?
    - How does their language change/evolve over time?
    - How many are bilingual (what languages?)
    - What do they misspell?
    - Do they like (twitter) or not?
    - How frequently are they re-tweeted and how far do they go (depth/diffusion)
    - Which lobbyists/special interest groups do they spend time with?
    - How does their language (tweet word choice) vary from official statements
    - What pics do they post about themselves
    - How do they frame their issues? (lang/sentiment/etc)
    - How do people respond the their tweets?
    - What is their “agenda”
    - What devices do they use to tweet
I wonder…
• Whether officials are always talking about their next TV appearance
• Whether officials use Twitter to get people to do something like give
    money or help out at a community event
•   Whether national and local officials use Twitter differently
•   Who tweets with their officials
•   How what we and our officials do on Twitter effects the “real” world
•   If Twitter is a virtual echo chamber in which officials interact mainly
    with themselves
•   How officials’ use RTs, mentions, and hashtags
•   How much of this stuff is unique to Americans? Or Chicagoans? Or
    Republicans
•   Are officials really tweeting, or is it all staffers in a post-Weiner era
•   How what they’re talking about Twitter differs from what they’re talking
    about elsewhere like MSNBC or Fox News appearances
•   What clues the language they use gives us about how they’ll vote
•   How the language they use influences what we do with their tweets
Technology Toolkit
   Getting and Storing Data   Processing and Analyzing Data

• MySQL                       • MALLET
• MongoDB                     • NodeXL
• PHP                         • UCINet
• Ruby                        •R
• Python                      • Stata
• Perl                        • Excel
• Dropbox                     • Word
• Github                      • PowerPoint
• Amazon Web Services
Why so many?
• Students come in with different skills
• Existing tools focus on topics, but we focus
  on people
• Ongoing data collection
• Different representations for different
  outlets
• Two-mode networks have different
  requirements
Datasets
            “Mine”                         Re-used

• U.S. Congress                  • Twitter Streaming API
  • Speech acts
                                 • DW-NOMINATE
  • Mentioning each other
  • Hashtags (one-mode, two-     • Congress.org
    mode)                        • Fowler’s Co-sponsorship
  • Links (one-mode, two-mode)
                                 • Census and American
• Korean National
                                   Community Survey
 Assembly
  • Speech acts                  • OpenSecrets.org
• Members of the EU
 Parliament (coming soon)
Takeaways
• Resources matter
• Found data can be sexy but dangerous
• Keep track of the steps you took between
  idea and paper (~= metadata)
• Think long term about your work
More Info
• Email: libbyh@gmail.com
• Twitter: @libbyh
• Web: http://www.libbyh.com and http://www.casmlab.org

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Elected Officials on Social Media for Webshop 2012

  • 1. ELECTED OFFICIALS ON SOCIAL MEDIA Libby Hemphill, PhD Assistant Professor of Communication and Information Studies Illinois Institute of Technology libbyh@gmail.com
  • 2. Questions from Group • What’s the bias on Twitter? • Are Republicans more tightly connected? • - What do they do in free time? (Which bars do they go to?) - Where are they tweeting from? (location) - What do they respond to? - How engaging are they (tweets, not officials?) - Tweet-content versus voting record - What lobbyists/special interest groups do they tweet about/follow/etc? - How much do they interact (via tweets) with outside groups - How does their tweeting correlate to offline activity (eg polls) - Is Twitter it (for social media), eg., #fb - What is the sentiment of their posts - Diffs between Individual vs. party posts - How many people/Who do they follow - Adoption (Are they/how are they? ...do they like it?) - demographics of their followers - differences between "official" versus campaign vs personal (accounts/how many, what kind) - How many tweets are "spontaneous vs crafted" - How do talking points change/evolve over time? - How does their language change/evolve over time? - How many are bilingual (what languages?) - What do they misspell? - Do they like (twitter) or not? - How frequently are they re-tweeted and how far do they go (depth/diffusion) - Which lobbyists/special interest groups do they spend time with? - How does their language (tweet word choice) vary from official statements - What pics do they post about themselves - How do they frame their issues? (lang/sentiment/etc) - How do people respond the their tweets? - What is their “agenda” - What devices do they use to tweet
  • 3. I wonder… • Whether officials are always talking about their next TV appearance • Whether officials use Twitter to get people to do something like give money or help out at a community event • Whether national and local officials use Twitter differently • Who tweets with their officials • How what we and our officials do on Twitter effects the “real” world • If Twitter is a virtual echo chamber in which officials interact mainly with themselves • How officials’ use RTs, mentions, and hashtags • How much of this stuff is unique to Americans? Or Chicagoans? Or Republicans • Are officials really tweeting, or is it all staffers in a post-Weiner era • How what they’re talking about Twitter differs from what they’re talking about elsewhere like MSNBC or Fox News appearances • What clues the language they use gives us about how they’ll vote • How the language they use influences what we do with their tweets
  • 4. Technology Toolkit Getting and Storing Data Processing and Analyzing Data • MySQL • MALLET • MongoDB • NodeXL • PHP • UCINet • Ruby •R • Python • Stata • Perl • Excel • Dropbox • Word • Github • PowerPoint • Amazon Web Services
  • 5. Why so many? • Students come in with different skills • Existing tools focus on topics, but we focus on people • Ongoing data collection • Different representations for different outlets • Two-mode networks have different requirements
  • 6. Datasets “Mine” Re-used • U.S. Congress • Twitter Streaming API • Speech acts • DW-NOMINATE • Mentioning each other • Hashtags (one-mode, two- • Congress.org mode) • Fowler’s Co-sponsorship • Links (one-mode, two-mode) • Census and American • Korean National Community Survey Assembly • Speech acts • OpenSecrets.org • Members of the EU Parliament (coming soon)
  • 7. Takeaways • Resources matter • Found data can be sexy but dangerous • Keep track of the steps you took between idea and paper (~= metadata) • Think long term about your work
  • 8. More Info • Email: libbyh@gmail.com • Twitter: @libbyh • Web: http://www.libbyh.com and http://www.casmlab.org

Editor's Notes

  1. DW-NOMINATEPoole and RosenthalCalculated for all CongressesMulti-dimensional scaling method of predicting how a person will voteFirst dimension = liberal/conservativeSecond dimension = cultural/lifestyle issues“polarized” voters are far from 0
  2. What you can get done on a small campus with limited money and no students is different from what you can get done as part of a well-funded group on a well-funded campusFound data has dangers like Twitter’s changing API TOSYou don’t have to be all about open data to benefit from keeping track of your metadata – your “next week self” will need to know that stuffYou don’t need to study everything RIGHT NOWGuardian asks whether Twitter is a leftwing mobInterest in politics and news did not increase adoption of TwitterPosition yourself outside your home discipline - esp when you have no home discipline to begin withFuture question - how do citizens perceive government's use of social media?jumping into something like public officials on social media opens you to a lot of "well, i Know" and "in my experience", even your own, so you need a thick skinScale is interesting, but saying "Twitter is" is like saying "Everyone with a cell phone" or "Everyone with a laptop", it just doesn't make sense