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A study on Singapore haze

Published: 04 January 2016 Publication History

Abstract

In 2015, Singaporean have experienced one of the worse air pollution crises in history. With datasets from a well-known photo sharing social network, we analyze how this haze affects Singaporean's daily life. We will share our preliminary results in this paper.

References

[1]
F. Abel, C. Hauff, G.-J. Houben, R. Stronkman, and K. Tao. Twitcident: fighting fire with information from social web streams. In Proceedings of the 21st international conference companion on World Wide Web, 2012.
[2]
F. Atefeh and W. Khreich. A survey of techniques for event detection in twitter. Comput. Intell., 31(1):132--164, 2015.
[3]
S. Bakhshi, D. A. Shamma, L. Kennedy, and E. Gilbert. Why we filter our photos and how it impacts engagement. In Ninth International AAAI Conference on Web and Social Media, 2015.
[4]
M. Ghiassi, J. Skinner, and D. Zimbra. Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network. Expert Systems with applications, 40(16):6266--6282, 2013.
[5]
N. Hochman and L. Manovich. Zooming into an instagram city: Reading the local through social media. First Monday, 18(7), 2013.
[6]
Y. Hu, L. Manikonda, and S. Kambhampati. What we instagram: A first analysis of instagram photo content and user types. 2014.
[7]
A. O. Larsson and H. Moe. Studying political microblogging: Twitter users in the 2010 swedish election campaign. New Media & Society, 14(5):729--747, 2012.
[8]
Y. Li, J. Huang, and J. Luo. Using user generated online photos to estimate and monitor air pollution in major cities. In Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, ICIMCS '15.
[9]
J. Mao, U. Phommasak, and H. Shioya. Detecting foggy images and estimating the haze degree factor. In Journal of Computer Science and Systems Biology 7(6):226--228, 2014.
[10]
M. Mathioudakis and N. Koudas. Twittermonitor: Trend detection over the twitter stream. In Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, SIGMOD '10, 2010.
[11]
A. Pak and P. Paroubek. Twitter as a corpus for sentiment analysis and opinion mining. In LREC, volume 10, pages 1320--1326, 2010.
[12]
O. Phelan, K. McCarthy, and B. Smyth. Using twitter to recommend real-time topical news. In Proceedings of the third ACM conference on Recommender systems, 2009.
[13]
P. K. Prasetyo, M. Gao, E. Lim, and C. N. Scollon. Proceedings of the 5th international conference on social informatics (socinfo). Lecture Notes in Computer Science, pages 478--491, 2013.
[14]
A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Election forecasts with twitter: How 140 characters reflect the political landscape. Social Science Computer Review, 2010.
[15]
P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 1, pages I--511, 2001.
[16]
M. Walther and M. Kaisser. Geo-spatial event detection in the twitter stream. In Advances in Information Retrieval, pages 356--367. 2013.
[17]
W. Xie, F. Zhu, J. Jiang, E.-P. Lim, and K. Wang. Topicsketch: Real-time bursty topic detection from twitter. In Data Mining (ICDM), 2013 IEEE 13th International Conference on, 2013.

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cover image ACM Other conferences
ICDCN '16: Proceedings of the 17th International Conference on Distributed Computing and Networking
January 2016
370 pages
ISBN:9781450340328
DOI:10.1145/2833312
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 January 2016

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Author Tags

  1. Singapore haze
  2. behavior studies
  3. online social networks
  4. social media analyses

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