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Combining twitter and media reports on public health events in medisys

Published: 13 May 2013 Publication History

Abstract

We describe the harvesting and subsequent analysis of tweets that are linked to media reports on public health events in order to identify which Internet resources are being referred to in these tweets. The aim was to automatically detect resources that are traditionally not considered mainstream media, but play a role in the discussion of public health events on the Internet. Interestingly, our initial evaluation of the results showed that most references related to public health events lead to traditional news media sites, even though URLs to non-traditional media receive a higher rank. We will briefly describe the Medical Information System (MedISys) and the methodology used to obtain and analyse tweets.

References

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Linge, J., Belyaeva, J., Steinberger, R., Gemo, M., Fuart, F., Al-Khudhairy, D., Bucci, S., Yangarber, R. and van der Goot, E. (2010). MedISys: Medical Information System. In: Eleana Asimakopoulou & Nik Bessis (eds). Advanced ICTs for Disaster Management and Threat Detection: Collaborative and Distributed Frameworks, pp. 131--142. IGI Global.
[2]
Linge, J. P., Mantero, J. Fuart, F., Belyaeva, J., Atkinson, M., van der Goot, E. Tracking Media Reports on the Shiga toxin-producing Escherichia coli O104:H4 outbreak in Germany. eHealth conference, Malaga. P. Kostkova, M. Szomszor, and D. Fowler (Eds.): eHealth 2011, LNICST 91, pp. 178--185, 2012.
[3]
Tanev, H., Ehrmann, M., Piskorski, J., and Zavarella, V. Enhancing Event Descriptions through Twitter Mining, Sixth International AAAI Conference on Weblogs and Social Media, 2012, Dublin.
[4]
Burton, S., Tanner, K., Giraud-Carrier, C., West, J., Barnes, M. "Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information, in Journal of Medical Internet Research 14(6), 2012.
[5]
ECDC. Rapid Risk Assessment Severe respiratory disease associated with a novel coronavirus, 19 February 2013, retrieved from http://ecdc.europa.eu on 1 March 2013.

Cited By

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  • (2024)Infectious risk events and their novelty in event-based surveillance: new definitions and annotated corpusLanguage Resources and Evaluation10.1007/s10579-024-09728-wOnline publication date: 5-Mar-2024
  • (2022)Modified valence aware dictionary for sentiment reasoning classifier for detection and classification of Covid‐19 related rumors from social media data streamsConcurrency and Computation: Practice and Experience10.1002/cpe.712434:21Online publication date: 7-Jun-2022
  • (2018)Detection and Delineation of Events and Sub-Events in Social Networks2018 IEEE 34th International Conference on Data Engineering (ICDE)10.1109/ICDE.2018.00147(1348-1351)Online publication date: Apr-2018
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  1. Combining twitter and media reports on public health events in medisys

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      cover image ACM Other conferences
      WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
      May 2013
      1636 pages
      ISBN:9781450320382
      DOI:10.1145/2487788

      Sponsors

      • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
      • CGIBR: Comite Gestor da Internet no Brazil

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 May 2013

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      Author Tags

      1. epidemic intelligence
      2. event-based surveillance
      3. medisys
      4. twitter analysis

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      • Research-article

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      WWW '13
      Sponsor:
      • NICBR
      • CGIBR
      WWW '13: 22nd International World Wide Web Conference
      May 13 - 17, 2013
      Rio de Janeiro, Brazil

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      WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
      Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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      Cited By

      View all
      • (2024)Infectious risk events and their novelty in event-based surveillance: new definitions and annotated corpusLanguage Resources and Evaluation10.1007/s10579-024-09728-wOnline publication date: 5-Mar-2024
      • (2022)Modified valence aware dictionary for sentiment reasoning classifier for detection and classification of Covid‐19 related rumors from social media data streamsConcurrency and Computation: Practice and Experience10.1002/cpe.712434:21Online publication date: 7-Jun-2022
      • (2018)Detection and Delineation of Events and Sub-Events in Social Networks2018 IEEE 34th International Conference on Data Engineering (ICDE)10.1109/ICDE.2018.00147(1348-1351)Online publication date: Apr-2018
      • (2016)Detecting Events in Online Social Networks: Definitions, Trends and ChallengesSolving Large Scale Learning Tasks. Challenges and Algorithms10.1007/978-3-319-41706-6_2(42-84)Online publication date: 3-Jul-2016
      • (2014)Investigating the Relationship between Social Media Content and Real-time Observations for Urban Air Quality and Public HealthProceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)10.1145/2611040.2611093(1-7)Online publication date: 2-Jun-2014

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