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Twitter as medium and message

Published: 01 March 2011 Publication History

Abstract

Researchers are mining Twitter's vast flow of data to measure public sentiment, follow political activity, and detect earthquakes and flu outbreaks.

References

[1]
Chen, J., Nairn, R., Nelson, L., and Chi, E. H. Short and tweet: experiments on recommending content from information streams, ACM Conference on Human Factors in Computing Systems, Atlanta, GA, April 10-15, 2010.
[2]
Culotta, A. Detecting influenza outbreaks by analyzing Twitter messages, KDD Workshop on Social Media Analytics, Washington, D.C., July 25, 2010.
[3]
Earle, P., Guy, M., Buckmaster, R., Ostrum, C., Horvath, S., and Vaughan, A. OMG earthquake! Can Twitter improve earthquake response? Seismological Research Letters 81, 2, March/April 2010.
[4]
Metaxas, P.T. and Mustafaraj, E. From obscurity to prominence in minutes: political speech and real-time search, Web Science Conference, Raleigh, NC, April 26-27, 2010.
[5]
O'Connor, B., Balasubramanyan, R., Routledge, B., and Smith, N. From Tweets to polls: linking text sentiment to public opinion time series, Proceedings of the International AAAI Conference on Weblogs and Social Media, Washington, D.C., May 23-26, 2010.

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Published In

cover image Communications of the ACM
Communications of the ACM  Volume 54, Issue 3
March 2011
116 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/1897852
Issue’s Table of Contents
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: 01 March 2011
Published in CACM Volume 54, Issue 3

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  • (2023)A deep semantic matching approach for identifying relevant messages for social media analysisScientific Reports10.1038/s41598-023-38761-y13:1Online publication date: 25-Jul-2023
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  • (2022)Twitter Reflections on Syrian Conflict from TurkeyFinancial Technology (FinTech), Entrepreneurship, and Business Development10.1007/978-3-031-08087-6_58(833-857)Online publication date: 30-Jun-2022
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  • (2020)Sentiment Analysis on Weibo Platform for Stock PredictionArtificial Intelligence and Security10.1007/978-981-15-8083-3_29(323-333)Online publication date: 13-Sep-2020
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