IR14 Pre-Conference Workshop Lightning Talk: Social Media Methods & Ethics
-
Upload
darryl-woodford -
Category
Education
-
view
663 -
download
1
description
Transcript of IR14 Pre-Conference Workshop Lightning Talk: Social Media Methods & Ethics
Methodological Challenges
IR14 Pre-Conference Workshop - Denver,CO
[email protected]@dpwoodford
Wednesday, 23 October 13
PLATFORMS
• Twitter: Open API, Limited on Volume, Real-Time unless paying for API; good data on user profiles.
• Facebook: Multiple levels of access; public pages easily accessible, historical data easy to obtain (unless deleted), but less precise (e.g. likes not timestamped unless page owner).
• Weibo? Vkontake? LinkedIn?
• Cost:Benefit analysis for developing infrastructure,
Wednesday, 23 October 13
• Streaming API is limited to ~1% of total tweets per second & Firehose access is expensive.
• Large data sets are not easily malleable, or visually analyzed (e.g. with Tableau):– Our database of Twitter users is ~3.7TB, and growing.– A weeks worth of selected TV data (current US shows) in JSON
format is 750MB, and 600MB in TSV (selected fields). And millions of rows.
• Analyzing large data sets is slow, if it’s even possible => “Usable Data”
Wednesday, 23 October 13
WHAT DOES 1% LOOK LIKE DURING SCANDAL?
Wednesday, 23 October 13
RANDOM SAMPLING VS FULL SAMPLE ANALYSIS
Source: Tony Hirst (Open University UK)
Wednesday, 23 October 13
FULL SAMPLE, REPEATED CAPTURE
Source: Bruns / Woodford [Mapping Online Publics]
Wednesday, 23 October 13
ANALYSIS TOOLS: DATA ANALYTICS
• Historically @ CCI / Mapping Online Publics: .csv files, Gawk Scripts, Excel.
• Ideally: Custom Tools, R, Large Sample analysis.
• Reality: We’ve compromised on Tableau. A great option for easy data analysis, and reasonably large samples:– But still, large flat files => memory leaks (e.g. Accession charts
for Barack Obama).– Currently investigating database solutions, with mySQL as a
stop-gap.
Wednesday, 23 October 13
ANALYSIS TOOLS: CONTENT ANALYSIS
• Lots of advanced tools, but sometimes they over-complicate things; simple visuals are good for communicating to your audience..
Source: Woodford / Prowd [Fan Cultures and Hatred in Big Brother 15: Race Rows, EliMsm & SporMng Tribalism -‐-‐ Forthcoming]
Wednesday, 23 October 13
ANALYSIS TOOLS: WORDLE SOMETIMES WORKS
Source: Woodford / Prowd [Fan Cultures and Hatred in Big Brother 15: Race Rows, EliMsm & SporMng Tribalism -‐-‐ Forthcoming]
Wednesday, 23 October 13
ANALYSIS TOOLS: WORDLE SOMETIMES WORKS
Source: Woodford / Prowd [Fan Cultures and Hatred in Big Brother 15: Race Rows, EliMsm & SporMng Tribalism -‐-‐ Forthcoming]
Wednesday, 23 October 13
WHO’S THE AUDIENCE?
• Who you want to connect with is important in choosing methods and presentations.
• My commentary / analysis on Big Brother 15 (US) across my blog, MOP and SocialMedia@QUT was read many more times than ANY academic article I’ve ever written.
• And was picked up by industry..
• Who should we be writing for?
Wednesday, 23 October 13
ACKNOWLEDGEMENTS
• ARC Centre for Excellence in Creative Industries and Innovation (CCI) - http://www.cci.edu.au & http://www.mappingonlinepublics.net
• Social Media Research Group -- http://socialmedia.qut.edu.au
• Queensland University of Technology
Wednesday, 23 October 13