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Making Sense of Twitter: New Research Methods in the Digital Humanities Associate Professor Axel Bruns @ snurb_dot_info http://mappingonlinepublics.net/ Queensland University of Technology

Making Sense of Twitter: New Research Methods in the Digital Humanities

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Paper presented at the University of Queensland Digital Humanities Symposium, Brisbane, 2 Nov. 2012.

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Page 1: Making Sense of Twitter: New Research Methods in the Digital Humanities

Making Sense of Twitter: New Research Methods in the Digital Humanities

Associate Professor Axel Bruns @snurb_dot_infohttp://mappingonlinepublics.net/ Queensland University of Technology

Page 2: Making Sense of Twitter: New Research Methods in the Digital Humanities

WHY TWITTER?

• Researching Twitter:– Significant world-wide social network– ~500 million accounts (but how many active?)– Varied range of uses: from phatic communication to emergency coordination– Healthy third-party ecosystem (for now)– Strong history of user innovation:

@replies, #hashtags– Flat and open network structure:

non-reciprocal following, public profiles by default– Good API for gathering (big) data for research

Page 3: Making Sense of Twitter: New Research Methods in the Digital Humanities

NEW MEDIA AND PUBLIC COMMUNICATION: MAPPING AUSTRALIAN USER-CREATED CONTENT

IN ONLINE SOCIAL NETWORKS

• Australian Research Council (ARC) Discovery Project (2010-13) – $410,000– QUT (Brisbane), Sociomantic Labs (Berlin)– First comprehensive study of Australian social media use– Computer-assisted cultural analysis: tracking, mapping, analysing blogs, Twitter, Flickr,

YouTube as ‘networked publics’– Addressing the problem of scale (‘Big Data’) and disciplinary change in media, cultural and

communication studies – natively digital methods– Studying society with the Internet (Richard Rogers)

http://mappingonlinepublics.net/

Page 4: Making Sense of Twitter: New Research Methods in the Digital Humanities

• Data Gathering– yourTwapperkeeper + in-house crawler

• Data Processing– Gawk – open source, multiplatform, programmable command-line tool for

processing CSV documents

• Textual Analysis– Leximancer – commercial, multiplatform: extracts key concepts from large

corpora of text, examines and visualises concept co-occurrence– WordStat – commercial, PC-only text analysis tool; generates concept co-

occurrence data that can be exported for visualisation

• Visualisation– Gephi – open source, multiplatform network visualisation tool

A TWITTER RESEARCH TOOLKIT

Page 5: Making Sense of Twitter: New Research Methods in the Digital Humanities

SO NOW WHAT?

Page 6: Making Sense of Twitter: New Research Methods in the Digital Humanities

#HASHTAGS AS PUBLICS

• #hashtags– ‘#’ + keyword makes tweets easily discoverable and marks themes– E.g. #ausvotes, #qldfloods, #londonriots, #royalwedding, #euro2012, …

• Publics – Attend to matters of shared concern with some level of co-awareness– Varied in intensity and temporality– Emergent, constituted via discourse & affect

• #hashtag publics– Not all hashtags constitute publics; Twitter doesn’t ‘contain’ publics– What are the patterns in the dynamics of different hashtag-based publics?– What might account for these differences?

Page 7: Making Sense of Twitter: New Research Methods in the Digital Humanities

#SPILL: 23 JUNE 2010, 6-7 P.M.

http://mappingonlinepublics.net/2010/12/30/visualising-twitter-dynamics-in-gephi-part-2/

Page 8: Making Sense of Twitter: New Research Methods in the Digital Humanities

#SPILL: 23 JUNE 2010, 7-8 P.M.

Page 9: Making Sense of Twitter: New Research Methods in the Digital Humanities

#SPILL: 23 JUNE 2010, 8-9 P.M.

Page 10: Making Sense of Twitter: New Research Methods in the Digital Humanities

BUT WHY?

• Possible research questions:– Ad hoc events and publics:

• How do online publics form and dissolve? How do they interact, what structures do they form?

• Where do they draw information from? What do they share?• Do they simply consist of the usual suspects? How insular and disconnected

are online publics?

– Hashtags in context:• How do different hashtag events compare? Are there common types of

hashtags/publics?• How ‘big’ are they? What topics attract attention on Twitter?• What community (?) structures emerge?

Page 11: Making Sense of Twitter: New Research Methods in the Digital Humanities

DEVELOPING TWITTER METRICS

• Key data points available through the Twitter API:– text: contents of the tweet itself, in 140 characters or less– to_user_id: numerical ID of the tweet recipient (for @replies)– from_user: screen name of the tweet sender– id: numerical ID of the tweet itself– from_user_id: numerical ID of the tweet sender– iso_language_code: code (e.g. en, de, fr, ...) of the sender’s default

language– source: client software used to tweet (e.g. Web, Tweetdeck, ...)– profile_image_url: URL of the tweet sender’s profile picture– geo_type: format of the sender’s geographical coordinates– geo_coordinates_0: first element of the geographical coordinates – geo_coordinates_1: second element of the geographical coordinates– created_at: tweet timestamp in human-readable format– time: tweet timestamp as a numerical Unix timestamp

Page 12: Making Sense of Twitter: New Research Methods in the Digital Humanities

DEVELOPING TWITTER METRICS

• Additional data points from tweets:– original tweets: tweets which are neither @reply nor retweet– retweets: tweets which contain RT @user… (or similar)

• unedited retweets: retweets which start with RT @user…• edited retweets: retweets which do not start with RT @user…

– genuine @replies: tweets which contain @user, but are not retweets– URL sharing: tweets which contain URLs

• Potential uses:– metrics per hashtag– metrics per timeframe (day, hour, minute, second, …)– metrics per user (or group of users)– …

(Bruns & Stieglitz, forthcoming)

Page 13: Making Sense of Twitter: New Research Methods in the Digital Humanities

#QLDFLOODS @REPLIES

mainstream media

authorities

Page 14: Making Sense of Twitter: New Research Methods in the Digital Humanities

#ROYALWEDDING

Page 15: Making Sense of Twitter: New Research Methods in the Digital Humanities

#AUSPOL (FEB.-DEC. 2011)

Page 16: Making Sense of Twitter: New Research Methods in the Digital Humanities

HA

SH

TA

G M

ET

RIC

S

Page 17: Making Sense of Twitter: New Research Methods in the Digital Humanities

TOWARDS A TYPOLOGY OF TWITTER USES

• How are hashtags used (during acute events)?– Gatewatching:

• Finding and sharing information about breaking news (before the mainstream media do?)

• Ad hoc publics: many URLs, many retweets (even unedited)

– Audiencing:• Shared experience of major (foreseen) events• Imagined community of fellow participants: few URLs, limited retweeting

• What other uses are there?– Continuing discussions (#auspol, #bundesliga, …)– Memes (#ghettohurricanenames, …)– Emotive hashtags (#fail, #win, #headdesk, …)– What about keywords?

Page 18: Making Sense of Twitter: New Research Methods in the Digital Humanities

BEYOND HASHTAGS

• ad hoc publics, often rapidly forming

and dissolving

macro: #hashtags

• personal publics, gradually accumulated

and generally stable

meso: follower networks

• interpersonal communication,

ephemeral

micro:@replies

(Bruns & Moe, forthcoming)

Multiple overlapping publics / networks– What drives their formation and dissipation?– How do they interact and interweave?– How are they interleaved with the wider media ecology?– Twitter doesn’t contain publics: publics transcend Twitter

Page 19: Making Sense of Twitter: New Research Methods in the Digital Humanities

UNDERSTANDING AUSTRALIAN TWITTER USE

• What is the Australian Twitter userbase?– Large-scale snowballing project– Starting from selected hashtag communities

(e.g. #ausvotes, #qldfloods, #masterchef)– Identifying participating users, testing for ‘Australianness’:

• Timezone setting, location information, profile information

– Retrieving follower/followee information for each account (very slow)

• Progress update:– ~1.06 million Australian users identified so far

~2 million Australian users in total?

Page 20: Making Sense of Twitter: New Research Methods in the Digital Humanities

THE AUSTRALIAN TWITTERSPHERE?

Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = outdegree, size = indegree

Page 21: Making Sense of Twitter: New Research Methods in the Digital Humanities

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

Page 22: Making Sense of Twitter: New Research Methods in the Digital Humanities

#AUSPOL

Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #auspol tweets, size = indegree

Page 23: Making Sense of Twitter: New Research Methods in the Digital Humanities

#AUSVOTES

Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #ausvotes tweets, size = indegree

Page 24: Making Sense of Twitter: New Research Methods in the Digital Humanities

#QLDFLOODS

Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #qldfloods tweets, size = indegree

Page 25: Making Sense of Twitter: New Research Methods in the Digital Humanities

#EQNZ

Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #eqnz tweets, size = indegree

Page 26: Making Sense of Twitter: New Research Methods in the Digital Humanities

#ROYALWEDDING

Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #royalwedding tweets, size = indeg.

Page 27: Making Sense of Twitter: New Research Methods in the Digital Humanities

#MASTERCHEF

Follower/followee network:~120,000 Australian Twitter users(of ~950,000 known accounts by early 2012) colour = #masterchef tweets, size = indeg.

Page 28: Making Sense of Twitter: New Research Methods in the Digital Humanities

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

Page 29: Making Sense of Twitter: New Research Methods in the Digital Humanities

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

Page 30: Making Sense of Twitter: New Research Methods in the Digital Humanities

AUSTRALIAN TWITTER NEWS INDEX

• ATNIX:– Tracking tweets which link to 29 key Australian news / opinion sites

(even if URLs are shortened: e.g. t.co bit.ly ow.ly abc.net.au)– Regular processing and evaluation

• Potential uses:– Examination of general market share– Impact of key events and stories– Tracking of specific articles– Examination of retweet chains for new URLs – how does news

disseminate?

– Coming soon: DeTNIX (Germany), others?

Page 31: Making Sense of Twitter: New Research Methods in the Digital Humanities

TWITTER AND/IN THE MEDIA ECOLOGY

(total volume: 2.2m tweets)

Page 32: Making Sense of Twitter: New Research Methods in the Digital Humanities

TWITTER AND/IN THE MEDIA ECOLOGY

(http://mappingonlinepublics.net/tag/atnix/)

Page 33: Making Sense of Twitter: New Research Methods in the Digital Humanities

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

Page 34: Making Sense of Twitter: New Research Methods in the Digital Humanities

‘BIG DATA’ AND THE DIGITAL HUMANITIES

• Emerging needs in Twitter research:– Unified, compatible methods and metrics for Twitter analysis

Tools and approaches shared at http://mappingonlinepublics.net/

– Powerful infrastructure for long-term, high-volume tracking of public communication on Twitter

Data access requires substantial funding stream

– Facilities for long-term data storage and preservation Key roles for National Libraries, National Archives

– Integration with related datasets (e.g. MSM content) Need to address data interoperability questions

• Twitter as a test case for digital humanities research– Widespread, open, public platform for everyday communication– Tool for observing society at scale through Internet research

Page 35: Making Sense of Twitter: New Research Methods in the Digital Humanities

‘BIG DATA’ AND STUDENT SKILLS

• Students 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, …)