Twitter data: What do they represent?

IT - Information Technology

Volumn 56, Issue 5, 2014, Pages 240-245

  Bruns, Axel ^a   Stieglitz, Stefan ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

ACM CCS Human centred computing Collaborative and social computing Collaborative and social computing systems and tools Social networking sites; ACM CCS Human centred computing Collaborative and social computing Collaborative and social computing theory; ACM CCS Information systems World Wide Web Web applications Social networks; Concepts and paradigms Social media; Internet Studies; Media Ecology; Research Methods; Social Media; Twitter

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); COMPUTATION THEORY; SOCIAL SCIENCES COMPUTING;

ACM CCS→HUMAN-CENTERED COMPUTING→COLLABORATIVE AND SOCIAL COMPUTING→COLLABORATIVE AND SOCIAL COMPUTING SYSTEM AND TOOL→SOCIAL NETWORKING SITE; ACM CCS→HUMAN-CENTERED COMPUTING→COLLABORATIVE AND SOCIAL COMPUTING→COLLABORATIVE AND SOCIAL COMPUTING THEORY; ACM CCS→INFORMATION SYSTEM→WORLD WIDE WEB→WEB APPLICATION→SOCIAL NETWORK; CONCEPT AND PARADIGM→SOCIAL MEDIUM; HUMAN-CENTERED COMPUTING; INTERNET STUDY; MEDIUM ECOLOGY; RESEARCH METHOD; SOCIAL MEDIA; WEB APPLICATION; WEB APPLICATIONS;

SOCIAL NETWORKING (ONLINE);

EID: 85116978522     PISSN: 16112776     EISSN: 21967032     Source Type: Journal    
DOI: 10.1515/itit-2014-1049     Document Type: Article

References (39)

1. D. Berry. The computational turn: thinking about the digital humanities. Culture Machine, 12, 2011.
2. J. Bollen, A. Pepe, and H. Mao. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. L. Ademic, R. Baeza-Yates, S. Counts (eds.), Proceedings of the 5th International AAAI Conference on Weblogs and Social Media. Palo Alto, CA: AAAI Press, 450-453, 2011.
3. d. boyd and K. Crawford. Critical questions for big data. Information, Communication & Society, 15(5):662-679, 2012.
4. A. Bruns and J. Burgess. Ausvotes: how Twitter covered the 2010 Australian federal election. Communication, Politics & Culture, 44(2):37-56, 2011.
5. A. Bruns and J. Burgess. The use of Twitter hashtags in the formation of ad hoc publics. Proceedings of the European Consortium for Political Research conference, Reykjavík, 25-27 Aug., 2011.
6. A. Bruns and H. Moe. Structural layers of communication on Twitter. K. Weller, A. Bruns, J. Burgess, M. Mahrt, C. Puschmann (eds.) Twitter and Society, New York: Peter Lang, USA, pp. 15-28, 2013.
7. A. Bruns and S. Stieglitz. Quantitative approaches to comparing communication patterns on Twitter. Journal of Technology in Human Services, 30(3-4):160-185, 2012.
8. A. Bruns and S. Stieglitz. Towards more systematic Twitter analysis: metrics for tweeting activities. International Journal of Social Research Methodology, 16(2):91-108, 2013.
9. A. Bruns, J. Burgess, and T. Highfield. A 'big data' approach to mapping the Australian Twittersphere. K. Bode, P. Arthur (eds.) (Re)purposing the (Digital) Humanities: Research, Methods, Theories, Basingstoke: Palgrave Macmillan, forthcoming 2014.
10. A. Bruns, J. Burgess, K. Crawford, and F. Shaw. #qldfloods and@QPSMedia: crisis communication on Twitter in the 2011 south east Queensland floods. Brisbane: ARC Centre of Excellence for Creative Industries and Innovation, 2012. http://cci.edu.au/floodsreport.pdf.
11. A. Bruns, T. Highfield, and S. Harrington. Sharing the news: dissemination of links to Australian news sites on Twitter. J. Gordon (ed.) Br(e)aking the News, New York: Peter Lang, 2013.
12. J. Burgess and A. Bruns. Twitter archives and the challenges of "big social data" for media and communication research. M/C Journal, 15(5), 2012.
13. R. Deller. Twittering on: audience research and participation using Twitter. Participations, 8(1), 2011.
14. P. Earle, M. Guy, R. Buckmaster, C. Ostrum, S. Horvath, and A. Vaughan. OMG earthquake! Can twitter improve earthquake response? Seismological Research Letters, 8(12):246-251, 2010.
15. C. Gerlitz and B. Rieder. Mining one percent of Twitter: collections, baselines, sampling. M/C Journal, 16(2), 2013.
16. T. Highfield. Following the yellow jersey: tweeting the Tour de France. K. Weller, A. Bruns, J. Burgess, M. Mahrt, C. Puschmann (eds.) Twitter and Society, New York: Peter Lang, pp. 249-262, 2013.
17. T. Highfield, S. Harrington, and A. Bruns. Twitter as a technology for audiencing and fandom: the #Eurovision phenomenon. Information, Communication & Society, 16(3):315-39, 2013.
18. E. Katz and P. F. Lazarsfeld. Personal Influence: The Part Played by People in the Flow of Mass Communications. New York: Free Press, 1955.
19. N. Krüger, S. Stieglitz, and T. Potthoff. Brand Communication in Twitter - a Case Study on Adidas. Proceedings of the Pacific Asia Conference on Information Systems (PACIS), Hochiminh City, Vietnam, Paper 161, 2012.
20. A.O. Larsson and H. Moe. Studying political microblogging: Twitter users in the 2010 Swedish election campaign. New Media & Society, 14(5):729-747, 2011.
21. G. Lotan, E. Graeff, M. Ananny, D. Gaffney, I. Pearce and d. boyd. The revolutions were tweeted: information flows during the 2011 Tunisian and Egyptian revolutions. International Journal of Communication 5:1375-1405, 2011.
22. A. Maireder and J. Ausserhofer. Political discourses on Twitter: networking topics, objects, and people. K. Weller, A. Bruns, J. Burgess, M. Mahrt, C. Puschmann (eds.) Twitter and Society, New York: Peter Lang, pp. 305-318, 2013.
23. F. Morstatter, J. Pfeffer, H. Liu, and K. M. Carley. Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose, Proceedings of the International Conference on Weblogs and Social Media ICWSM, 2013.
24. F. Morstatter, J. Pfeffer, and H. Liu. When is it Biased? Assessing the Representativeness of Twitter's Streaming API. Proceedings of the WWW Web Science - WWW'14 Companion, April 7-11, 2014, Seoul, Korea, 2014.
25. L. Palen, K. Starbird, S. Vieweg, and A. Hughes. Twitter-based information distribution during the 2009 Red River Valley flood threat. Bulletin of the American Society for Information Science and Technology 36(5):13-17, 2010.
26. R. Rogers. The end of the virtual. Inaugural address, University of Amsterdam. http://www.govcom.org/rogers_oratie.pdf.
27. J.-H. Schmidt. Twitter and the rise of personal publics. K. Weller, A. Bruns, J. Burgess, M. Mahrt, C. Puschmann (eds.) Twitter and Society, New York: Peter Lang, 2013, 3-14.
28. Sensis. Yellow™social media report: what Australian people and business are doing with social media. May 2013. p. 15. http://about.sensis.com.au/DownloadDocument.ashx? DocumentID= 463.
29. A. Smith. Twitter Update 2011. Pew Internet and American Life Project, 1 June 2011. http://www.pewinternet.org/Reports/2011/Twitter-Update- 2011/Main-Report.aspx (accessed 20th April 2014).
30. M. A. Smith, L. Rainie, I. Himelboim, and B. Shneiderman. Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters. Pew Research Center, Feb. 20, 2014. http:// www.pewinternet.org/files/2014/02/PIP_Mapping-Twitternetworks_ 022014.pdf (accessed 25 July 2014).
31. S. Stieglitz and L. Dang-Xuan. Emotions and Information Diffusion in Social Media - Sentiment of Microblogs and Sharing Behavior. Journal of Management Information Systems, 29(4):217-248, 2013.
32. S. Stieglitz, L. Dang-Xuan, A. Bruns, and C. Neuberger. Social Media Analytics: An Interdisciplinary Approach and Its Implications for Information Systems. Business and Information Systems Engineering 6(2):89-96, 2014.
33. S. Stieglitz and N. Krüger. Analysis of sentiments in corporate Twitter communication - a case study on an issue of Toyota. Proceedings of the 22nd Australasian Conference on Information Systems, 2011.
34. K. Driscoll and S. Walker.Working Within a Black Box: Transparency in the Collection and Production of Big Twitter Data. International Journal of Communication, 8:1745-1764, 2014.
35. K. Nahon, J. Hemsley, R. Mason, S. Walker, and J. Eckert. Information Flows in Events of Political Unrest, Proceedings of the iConference, Forth Worth, 2013. http://ekarine.org/wpadmin/ pub/InformationFlowsInEvents.pdf (accessed 25 July 2014).
36. O. Oh, M. Agrawal, and H. R. Rao. Community Intelligence and Social Media Services: A Rumor Theoretic Analysis of Tweets During Social Crises. MIS Quarterly, 37(2):407-426, 2013.
37. C. Ehnis and D. Bunker. The Impact of Disaster Typology on Social Media Use by Emergency Services Agencies: The Case of the Boston Marathon Bombing, Proceedings of the 24th Australasian Conference on Information Systems, Melbourne, Australia, 2013.
38. R. Sandoval, R. T. Matus, and R. N. Rogel. Twitter in Mexican Politics: Messages to People or Candidates?, Proceedings of the Americas Conference on Information Systems, Paper 18, July 2012.
39. Z. Hong, Z. Kem, M. Lee, and F. Feng. Enterprise Microblog as a New Marketing Strattegy for Companies: Enterprise Microblog Commitment and Brand Loyalty, Proceedings of the Pacific Asia Conference on Information Systems, Paper 74, 2013.