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Finding and Tracking Local Twitter Users for News Detection

Authors:

Jagan Sankaranarayanan,

Hanan SametAuthors Info & Claims

SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Article No.: 64, Pages 1 - 4

https://doi.org/10.1145/3139958.3141797

Published: 07 November 2017 Publication History

Abstract

The popular micro-blogging service, Twitter, hides invaluable information about real world events. Extracting such information, especially local news, exerts a measure of influence over various applications such as situation awareness and disaster recovery. Detecting small, local news is very challenging, however, due to the sparsity of publicly available Tweets on a specific area. In this work, we present a Twitter user-based method to mitigate the data sparsity. In essence, for a given geographical area, we aim to find as many Twitter users as possible from it and then track their posts to monitor the news happening in that area. However, only a small fraction of Twitter users provide information about their location, making the location information for most of Twitter users not available. Therefore, we utilize a geotagging procedure to estimate location for unknown-location Twitter users thereby finding more Twitter users in a given geographical area. Tracking the post updates of such Twitter users yields a real-time local live tweet stream and thus alleviates the paucity of local tweet data. On the real-time collected tweet stream, we perform online clustering to group tweets together to report potential news. The evaluation shows that in so doing, our method detects hundreds of more local news in comparison with solely utilizing the existing Twitter's publicly available tweet stream.

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Cited By

Yamamoto FSuzuki YNadamoto A(2021)Extraction and Analysis of Regionally Specific Behavioral Facilitation Information in the Event of a Large-scale DisasterIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3486622.3493991(538-543)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3486622.3493991
Mahmood AAref W(2019)Scalable Processing of Spatial-Keyword QueriesSynthesis Lectures on Data Management10.2200/S00892ED1V01Y201901DTM05611:1(1-116)Online publication date: 7-Feb-2019
https://doi.org/10.2200/S00892ED1V01Y201901DTM056
Charitidis PPapadopoulos SApostolidis LKompatsiaris I(2019)Social media monitoring tools for air quality accountsIEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume10.1145/3358695.3361106(215-222)Online publication date: 14-Oct-2019
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Index Terms

Finding and Tracking Local Twitter Users for News Detection
1. Information systems
  1. Information systems applications
    1. Data mining
      1. Clustering
    2. Spatial-temporal systems
      1. Data streaming

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Published In

cover image ACM Conferences

SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2017

677 pages

ISBN:9781450354905

DOI:10.1145/3139958

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2017

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SIGSPATIAL'17

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SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 7 - 10, 2017

CA, Redondo Beach, USA

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SIGSPATIAL '17 Paper Acceptance Rate 39 of 193 submissions, 20%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

Yamamoto FSuzuki YNadamoto A(2021)Extraction and Analysis of Regionally Specific Behavioral Facilitation Information in the Event of a Large-scale DisasterIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3486622.3493991(538-543)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3486622.3493991
Mahmood AAref W(2019)Scalable Processing of Spatial-Keyword QueriesSynthesis Lectures on Data Management10.2200/S00892ED1V01Y201901DTM05611:1(1-116)Online publication date: 7-Feb-2019
https://doi.org/10.2200/S00892ED1V01Y201901DTM056
Charitidis PPapadopoulos SApostolidis LKompatsiaris I(2019)Social media monitoring tools for air quality accountsIEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume10.1145/3358695.3361106(215-222)Online publication date: 14-Oct-2019
https://dl.acm.org/doi/10.1145/3358695.3361106
Weiler ASchilling HKircher LGrossniklaus M(2019)Towards Reproducible Research of Event Detection Techniques for Twitter2019 6th Swiss Conference on Data Science (SDS)10.1109/SDS.2019.000-5(69-74)Online publication date: Jun-2019
https://doi.org/10.1109/SDS.2019.000-5
Almaslukh AMagdy AAly AMokbel MElnikety SHe YNath SAref W(2019)Local trend discovery on real-time microblogs with uncertain locations in tight memory environmentsGeoInformatica10.1007/s10707-019-00380-zOnline publication date: 10-Sep-2019
https://doi.org/10.1007/s10707-019-00380-z
Wei HSankaranarayanan JSamet H(2018)Enhancing Local Live Tweet Stream to Detect NewsProceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News10.1145/3282866.3282868(1-10)Online publication date: 6-Nov-2018
https://dl.acm.org/doi/10.1145/3282866.3282868
Wei HZhou HSankaranarayanan JSengupta SSamet HBanaei-Kashani FHoel EGüting RTamassia RXiong L(2018)Detecting latest local events from geotagged tweet streamsProceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3274895.3274977(520-523)Online publication date: 6-Nov-2018
https://dl.acm.org/doi/10.1145/3274895.3274977
Wei HZhou HSankaranarayanan JSengupta SSamet HChampin PGandon FMédini LLalmas MIpeirotis P(2018)Residual Convolutional LSTM for Tweet Count PredictionCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191571(1309-1316)Online publication date: 23-Apr-2018
https://dl.acm.org/doi/10.1145/3184558.3191571
Samet H(2018)Sorting in Space and Words2018 IEEE 34th International Conference on Data Engineering (ICDE)10.1109/ICDE.2018.00222(1719-1722)Online publication date: Apr-2018
https://doi.org/10.1109/ICDE.2018.00222

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