Big Data + Twitter
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The document discusses the utilization of Twitter data for analyzing various events and movements, including the Australian Twittersphere, the Queensland floods, Arab Spring, Eurovision 2012, and the Occupy Oakland movement. It highlights the methodologies involved in capturing and processing this big data, as well as the connections between users through tweets, hashtags, and mentions. Additionally, it addresses the limitations of accessing Twitter data and the challenges of analyzing vast amounts of information.
![@sunriseon7
@couriermail
@612brisbane
@QPSmedia
@abcnews
QUEENSLAND FLOODS
(2011)
Source:
Bruns, Burgess, Crawford, and Shaw
(2012), #qldfloods and @QPSMedia:
Crisis Communication on Twitter in
the 2011 South East Queensland
Floods [report]:
http://cci.edu.au/floodsreport.pdf
Connections through #qldfloods tweets (coloured
for retweets/@mentions of major media and
emergency accounts)
Types of tweet per day](https://image.slidesharecdn.com/highfieldgeorabblefinal2-130427041223-phpapp02/85/Big-Data-Twitter-6-320.jpg)
![OCCUPY OAKLAND
(2012)
Source:
Croeser and Highfield (2012). ‘#oo
activism: Uses of Twitter within the
Occupy Oakland movement’
[conference paper]
Connections through tweets
containing #oo
10-13 February 2012
Connections through tweets
containing #oo and #ows
10-13 February 2012](https://image.slidesharecdn.com/highfieldgeorabblefinal2-130427041223-phpapp02/85/Big-Data-Twitter-11-320.jpg)
Big Data + Twitter
- 1. BIG DATA + TWITTER WHAT WE LEARN FROM TWEETS, HASHTAG USE, @MENTIONS, RETWEETS, AND RESOURCE-SHARING ON TWITTER DR TIM HIGHFIELD (CCI; QUT+CURTIN)
- 3. HOW OPEN-SOURCE DATA CAPTURE (YOURTWAPPERKEEPER) IN-HOUSE PROCESSING SCRIPTS (GAWK) NETWORK VISUALISATION (GEPHI)
- 4. THE AUSTRALIAN TWITTERSPHERE Source: Bruns, Burgess, and Highfield (under review), ‘A ‘Big Data’ Approach to Mapping the Australian Twittersphere’.
- 5. #AUSPOL + #AUSVOTES Source: Bruns, Burgess, and Highfield (under review), ‘A ‘Big Data’ Approach to Mapping the Australian Twittersphere’. Distribution of users whose tweets contain #auspol or #ausvotes on the overall Twittersphere map
- 6. @sunriseon7 @couriermail @612brisbane @QPSmedia @abcnews QUEENSLAND FLOODS (2011) Source: Bruns, Burgess, Crawford, and Shaw (2012), #qldfloods and @QPSMedia: Crisis Communication on Twitter in the 2011 South East Queensland Floods [report]: http://cci.edu.au/floodsreport.pdf Connections through #qldfloods tweets (coloured for retweets/@mentions of major media and emergency accounts) Types of tweet per day
- 7. ARAB SPRING: #EGYPT (2011) Source: Bruns, Highfield, and Burgess (forthcoming), ‘The Arab Spring and Social Media Audiences: English and Arabic Twitter Users and Their Networks’. American Behavioral Scientist. Connections through tweets containing #egypt, based on language script Left: 1-28 February Right: 15 June-15 September
- 8. Albania Malta Serbia Ireland Jedward Spain Human Rights France Italy Greece Turkey Sweden UK EUROVISION 2012 (GLOBAL) Source: Highfield, Harrington, and Bruns (2013). ‘Twitter as a Technology for Audiencing and Fandom: The #Eurovision phenomenon’. Information, Communication & Society, 16(3), 315- 339. @mentions and retweets from #eurovision tweets May 2012
- 9. TOUR DE FRANCE 2012 (GLOBAL) Source: Highfield (forthcoming). ‘Following the yellow jersey: Tweeting the Tour de France’. Twitter and Society (edited collection) @mentions and retweets from #tdf tweets July 2012
- 10. WA ELECTION (2013) Connections through tweets mentioning /from WA election candidates, politicians, political parties Connections only between candidate/politician/ party accounts
- 11. OCCUPY OAKLAND (2012) Source: Croeser and Highfield (2012). ‘#oo activism: Uses of Twitter within the Occupy Oakland movement’ [conference paper] Connections through tweets containing #oo 10-13 February 2012 Connections through tweets containing #oo and #ows 10-13 February 2012
- 12. BIG TWITTER DATA LIMITS OF ACCESS, TERMS OF USE LIMITED USE OF FEATURES, PRACTICES NOT UNIVERSAL TOO MUCH DATA? NOT ENOUGH DATA? IMPORTANT INFORMATION INTO WIDER SOCIAL MEDIA USES SUPPORTED BY FURTHER ANALYSIS, ADDITIONAL METHODS