TY - GEN
T1 - Detecting news event from a citizen journalism website using tags
AU - Chua, Alton Y.K.
AU - Goh, Dion Hoe Lian
AU - Razikin, Khasfariyati
PY - 2009
Y1 - 2009
N2 - The accelerated news cycle and constantly emerging news-worthy events have led to 'citizen journalism' where people who are non-journalists collect, analyze and disseminate news pieces. This paper seeks to leverage tags drawn from iReport, an active citizen journalism Website to detect major news events. The goal is to examine the coverage and efficacy of news detected in iReport vis-à-vis those reported in the mainstream media. The data collection procedure involved manually culling major news events reported in Fox News between April 8 2008 and June 6 2008. Additionally, 81,815 tags from 15,216 documents were drawn from iReport during the same study period. Relative frequencies of all unique tags were used to check for spikes and bursts in the dataset. The results show that out of the 10 major news events reported in Fox News, five could be detected in iReport. This paper concludes by presenting the main findings, limitations and suggestions for future research.
AB - The accelerated news cycle and constantly emerging news-worthy events have led to 'citizen journalism' where people who are non-journalists collect, analyze and disseminate news pieces. This paper seeks to leverage tags drawn from iReport, an active citizen journalism Website to detect major news events. The goal is to examine the coverage and efficacy of news detected in iReport vis-à-vis those reported in the mainstream media. The data collection procedure involved manually culling major news events reported in Fox News between April 8 2008 and June 6 2008. Additionally, 81,815 tags from 15,216 documents were drawn from iReport during the same study period. Relative frequencies of all unique tags were used to check for spikes and bursts in the dataset. The results show that out of the 10 major news events reported in Fox News, five could be detected in iReport. This paper concludes by presenting the main findings, limitations and suggestions for future research.
KW - Citizen journalism
KW - Event detection
KW - Relative frequency
KW - Social tagging
KW - User-generated content
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U2 - 10.1007/978-3-642-04875-3_49
DO - 10.1007/978-3-642-04875-3_49
M3 - Conference contribution
AN - SCOPUS:77949595341
SN - 9783642048746
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 478
EP - 489
BT - Active Media Technology - 5th International Conference, AMT 2009, Proceedings
T2 - 5th International Conference on Active Media Technology, AMT 2009
Y2 - 22 October 2009 through 24 October 2009
ER -