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Slides from the CCI Winter School Social Media Workshop
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Digital Methods and Social Media AnalyticsJean Burgess, Axel Bruns, and Darryl Woodford
Media Ecologies Project, CCIQueensland University of Technology@jeanburgess | @snurb_dot_info | @dpwoodford
http://mappingonlinepublics.net/
DIGITAL METHODS…?
• Datagathering• Processing• Analysis• Re-presentation• Materiality and ‘nature’ of the digital
‘BIG DATA’ & DIGITAL METHODS
• Big Data as currency across the sciences and social sciences• Business intelligence & ‘data markets’ (including social media & online
behavioral data).• Computational social science – e.g. MSR NYC; epidemiology; election &
stock market prediction• ‘Computational turn’ in new humanities research: shift from computational
tools to a new computational paradigm, changing the ontologies and epistemologies of humanities research (Berry, 2012).
• Eg shift from ‘close’ to ‘distant’ reading (Moretti); ‘software studies’ (eg Fuller, 2008) and ANT approaches to new media platforms;
• From ‘virtual’/trad social research methods to ‘natively’ digital methods to diagnose patterns of social change (Rogers, 2009).
The map is not the territory (Korzybski)
…and certainly not the destination
UNDERSTANDING TWITTER PUBLICS
• #hashtags:– Useful coordinating mechanism for core discussion– Relatively easy to capture and analyse– Fails to capture non-hashtagged tweets about the topic– Good case studies, but very little comparative work to date
• National / global Twittersphere maps:– Crucial contextual baseline for #hashtag case studies– Slow and laborious data gathering process, never complete– Very long-term perspective, beyond most funded projects– Indispensable for study of Twitter as a public space
#ROYALWEDDING (29 APR. 2011)
#AUSVOTES (JULY-AUG. 2010): THEMES
#EQNZ: MOST VISIBLE ACCOUNTS, 22 FEB.-7 MAR. 2011 (RETWEETS + @REPLIES RECEIVED)
#EQNZ: VISIBILITY ACROSS EARTHQUAKES (2010-2011)
(Bruns & Burgess, 2012)
HA
SH
TA
G M
ET
RIC
S
(Bruns & Stieglitz, 2012)
BEYOND HASHTAGS
Overlapping publics / networks– What determines their formation and dissolution?– How do they interact and interweave?– How are they interleaved with the wider media ecology?– How do they represent the Twitter component of wider societal publics?
• ad hoc publics, often rapidly forming
and dissolving
macro: #hashtags
• personal publics, accumulating slowly and relatively stable
meso: follower networks
• interpersonalcommunication,
ephemeral
micro:@replies
(Bruns & Moe, 2013)
THE AUSTRALIAN TWITTERSPHERE?
Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = outdegree, size = indegree
THEMATIC CLUSTERS
PerthMarketing / PR
DesignWeb
Creative
FarmingAgriculture
HardlineConservatives
ConservativesJournalists
ALPProgressives
Greens
News
OpinionNews
NGOsSocial Policy
ITTech
Social MediaTechPR
Advertising
Real EstateProperty
JobsHR
Business
BusinessProperty
Parenting
Mums CraftArts
FoodWine
Beer
Adelaide
SocialICTs
CreativeDesign
FashionBeauty
UtilitiesServices
Net Culture
BooksLiteraturePublishing
Film
TheatreArts
RadioTV Music
DanceHip Hop
Triple J
TalkbackBreakfast TVCelebritiesCycling
Union
NRL
Football
CricketAFL
SwimmingV8s
Evangelicals
Teachinge-Learning
Schools
ChristiansHillsong
Teens
Jonas Bros.Beliebers
Australian Bands
@KRuddMP
@JuliaGillard
#AUSPOL
Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #auspol tweets, size = indegree
#AUSVOTES
Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #ausvotes tweets, size = indegree
#ROYALWEDDING
Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #royalwedding tweets, size = indeg.
#MASTERCHEF
Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #masterchef tweets, size = indeg.
THEAUSTRALIAN.COM.AU URLS
Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = tweets with URLs, size = indegree
ABC.NET.AU URLS
Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = tweets with URLs, size = indegree
AUSTRALIAN TWITTER NEWS INDEX
http://mappingonlinepublics.net/tag/atnix/
AUSTRALIAN TWITTER NEWS INDEX
BIG BIG DATA: THE FIRST MILLION TWITTER IDS
Twitter IDs 1-1,000,000 (48,000 accounts still in existence)
(see http://mappingonlinepublics.net/2013/04/08/the-first-million-ids-on-twitter/)
THE FIRST MILLION: TWEETS SENT
THE FIRST MILLION: TIME ZONES
A NEW MILLION
• 1 million new account IDs (~ 422.000 existing accounts) • Newly registered on 18/19 Mar. 2013, 16:00-01:00 UTC ( 1-1.5m new users/day)
TWITTER AS A PROXY
• Tweets, and Twitter Users, are actually informative about other platforms.
• While not an alternative to application specific APIs, it can provide an approximation.
• Overall pattern / content of uploaded Vine videos (that are shared via Twitter: ~50%).
• Mirrors YouTubers fairly well (similar start date, ‘Pro’ YouTubers use Twitter/FB to reduce reliance on YT)
TWITTER AS A PROXY
• While not an alternative to application specific APIs, it can provide an approximation of growth rates and user profiles.
• Overall pattern / content of uploaded Vine videos (that are shared via Twitter: ~50%).
• Mirrors YouTubers fairly well (similar start date, ‘Pro’ YouTubers use Twitter/FB to reduce reliance on YT)
TWITTER AS A PROXY: MONTH OF VINES
TWITTER AS A PROXY: DAILY PATTERNS
TWITTER AS A PROXY: HASHTAGS AS DESCRIPTORS
TWITTER AS A PROXY: YOUTUBERS: @CHARLESTRIPPY (ID VS. ACCESSION #)
This set of IDs were apparently never allocated.
Prank vs Prank
TWITTER AS A PROXY: YOUTUBERS -- @CHARLESTRIPPY (ACC # VS DATE)
PrankvsPrank
?
CTFxC Wedding
TWITTER AS A PROXY: YOUTUBERS -- @COREYVIDAL (ACC # VS DATE)
CTFxC Wedding
I’m Vlogging Here Indiegogo & Filming
?
PRACTICAL CHALLENGES
• Data access, platform volatility• Research ethics
– textual research or ‘human subjects’ research? – Consequences of public/personal convergence, data
markets/open data movement, and ‘context collapse’ (boyd)– Cross-national and cross-disciplinary differences, need for public
discussion
PRACTICAL CHALLENGES
• Better integration with existing social and cultural theory & empirical work– Mixed methods, especially integration of qualitative and
ethnographic approaches
• Propagation and regularisation of methods (and consequences for research training)– ‘Code literacy’ sufficient to engage with the material
consequences of software platforms
‘BIG DATA’ AND RESEARCH SKILLS
• Researchers need interdisciplinary skill sets:– Media & communication to understand the media environment– Maths and statistics to deal with ‘big data’– Computer science to develop tools to process social media data– Communication design to develop effective visualisations– Writing and communication skills to communicate the results– …
– Where do we find them?(few people have such a diverse range of skills)
– How do we support their work? (we’re only just developing our methods and tools)
– What is our strategy for dealing with precarity?(sudden API changes, changing fortunes of platforms, …)
http://mappingonlinepublics.net/@snurb_dot_info
@jeanburgess
@dpwoodford
@tsadkowsky
@lena_sauter
@timhighfield
@cdtavijit
@socialmediaQUT