The objective of this study was to investigate the use of tags in iReport to detect breaking news in terms of coverage and immediacy. Coverage refers to the extent to which news reported in mainstream media can also be detected in iReport, while immediacy refers to the promptness of news reported in mainstream media vis-à-vis those detected in iReport. A total of 10 ground truth events were identified from mainstream media between 1 April 2008 and 31 December 2008. Additionally, 481,455 tags from 118,545 postings were drawn from iReport in the same period. Relative frequencies of the top 200 most frequently-used tags were analysed to check for spikes and bursts. Based on the results, four main findings emerged. First, the performance of using spikes and bursts to detect news events was found to be comparable. Next, news events detected via spikes and bursts were found to lag ranging from a few days to more than a week compared to the dates reported by mainstream media. Third, news events deemed to be significant by professional journalists did not always attract a high level of interest from iReport contributors. Finally, even though citizen journalism transcends national boundaries via the internet, news posted to iReport seemed to show a proclivity towards local context.
D. Gillmor , We the media: the rise of citizen journalists , National Civic Review93(3) (2004) 58-63.
2.
D., Ahlers , News consumption and the new electronic media , Harvard International Journal of Press-Politics11(1) (2006) 29-52.
3.
N. Thurman , Forums for citizen journalists? Adoption of user generated content initiatives by online news media, New Media and Society10(1) (2008) 139-157.
4.
D.H. Goh , R.P. Ang , A.Y.K. Chua and C.S. Lee , Why we share: a study of motivations for mobile media sharing, Proceedings of the International Conference on Active Media Technology AMT 2009, Lecture Notes in Computer Science5820, 195-206 (2009).
5.
K. Good, The rise of the citizen journalist, Feliciter52(2) (2006) 69-71.
6.
D.H. Goh , A.Y.K. Chua, C.S. Lee and K. Razikin, Resource discovery through social tagging: a classification and content analytic approach, Online Information Review33(3) (2009) 568-583.
7.
H. Wu, M. Zubair and K. Maly, Harvesting social knowledge from folksonomies, Proceedings of the 17th Conference on Hypertext and Hypermedia ( 2006) 111-114.
8.
H. Becker, M. Naaman and L. Gravano, Learning similarity metrics for event identification in social media, Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (2010) 291-300.
9.
J. Curran and J. Seaton, Power without Responsibility: The Press, Broadcasting and New Media in Britain (Routledge, London, 2003).
10.
J.Y.M. Nip , Exploring the second phase of public journalism , Journalism Studies7(2) (2006) 212-236.
11.
E. Tilley and J. Cokley, Deconstructing the discourse of citizen journalism: who says what and why it matters, Preview Pacific Journalism Review14(1) (2008) 94-114.
12.
C.P. Wei and Y.H. Lee , Event detection from online news documents for supporting environmental scanning, Decision Support Systems36(4) ( 2004) 385-401.
13.
J. Allan, R. Papka and V. Lavrenko, On-line new event detection and tracking, Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (1998) 37-45.
14.
C.C. Chen, M.C. Chen and M.S. Chen, An adaptive threshold framework for event detection using HMMbased life profiles . ACM Transactions on Information Systems27(2) (2009) Article 9.
15.
F. Can, S. Kocberber, O. Baglioglu, S. Kardas, H.C. Ocalan and E. Uyar, New event detection and topic tracking in Turkish, Journal of the American Society for Information Science and Technology61(4) (2010) 802-819.
16.
Z. Li, B. Wang, M. Li and W.Y. Ma, A probabilistic model for retrospective news event detection, Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2005) 106-113.
17.
S. Sen, S.K. Lam, A.M. Rashid, D. Cosley, D. Frankowski, J. Osterhouse, F.M. Harper and J. Riedl, Tagging communities, vocabulary, evolution , Proceedings of the Conference on Computer Supported Cooperative Work (2006) 181-190.
18.
S.Y. Neo , Y. Ran , H.K. Goh , Y. Zheng, T.S. Chua and J. Li , The use of topic evolution to help users browse and find answers in news video corpus, Proceedings of the 15th International Conference on Multimedia (2007) 198-207.
19.
S.A. Golder and B.A. Huberman, Usage patterns of collaborative tagging systems, Journal of Information Science32(2) (2006) 198-208.
20.
G. Geisler and S. Burns, Tagging video: conventions and strategies of the YouTube community, Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries (2007) 480-480.
21.
G.W. Furnas , C. Fake, L. von Ahn , J. Schachter, S. Golder, K. Fox , M. Davis, C. Marlow and M. Naaman, Why do tagging systems work, CHI’06 Extended Abstracts on Human Factors in Computing (2006) 36-39.
22.
T. Sakaki, M. Okazaki and Y. Matsuo, Earthquake shakes Twitter users: real-time event detection by social sensors , Proceedings of the 19th International Conference on World Wide Web (2010) 851-860.
23.
M. Thelwall , R. Prabowo and R. Fairclough, Are raw RSS feeds suitable for broad issue scanning? A science concern case study, Journal of the American Society for Information Science and Technology57(12) (2006) 1644-1654.
24.
A.Y.K. Chua, D.H. Goh and K. Razikin, Detecting news event from a citizen journalism website using tags, Proceedings of the 5th International Conference on Active Media Technology (2009) 478-489.
25.
D. Gruhl, R. Guha, D. Liben-Nowell and A. Tomkins, Information diffusion through Blogspace (2004). Paper presented at the WWW2004, New York. Available at www.www.2004.org/proceedings/docs/1p491.pdf (accessed 1 August 2010)
26.
R.B. Cialdini , Influence: Science and Practice ( Allyn and Bacon, Boston, 2001).
27.
J. Kleinberg , Temporal dynamics of on-line information streams . In: M. Garofalakis, J. Gehrke and R. Rastogi (eds), Data Stream Management: Processing High-Speed Data Streams (Berlin: Springer, 2005).
28.
J. Dimmick , Y. Chen and Z. Li , Competition between the internet and traditional news media: the gratification-opportunities niche dimension, Journal of Media Economics17(1) (2004) 19-33.
29.
D. Domingo , T. Quandt, A. Heinonen, A. Paulussen, J.B. Singer and M. Vujnovic, Participatory journalism practices in the media and beyond, Journalism Practice2(3) (2008) 326-342.
30.
Z. Reich , How citizens create news stories: the ‘news access’ problem reversed, Journalism Studies9(5) (2008) 739-758.
31.
U. Farooq, T.G. Kannampallil, Y. Song, C.H. Ganoe, J.M. Carroll and L. Giles, Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics, Proceedings of the 2007 International ACM Conference on Supporting Group Work (2007) 351-360.
32.
C.C. Yang , X. Shi , and C.P. Wei , Discovering event evolution graphs from news corpora, IEEE Transactions of Systems, Man, and Cybernetics - Part A: Systems and Humans39(4) (2009) 850-863.
