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Location-Aware Model for News Events in Social Media

Published: 09 August 2015 Publication History

Abstract

Nowadays, social media services are being used extensively as news sources and for spreading information on real-world events. Several studies have focused on detecting those events and locating them geographically. However, in order to study real-world events, for example, finding relationships between locations or detecting high impact events based on their coverage, we need more suitable models to represent events. In this work we propose a simple model to represent real-world news events using two sources of information: the locations that are mentioned in the event (where the event occurs), and the locations of users that discuss or comment on it. We then characterize a country based on the amount of events in which that country is mentioned and also participates on the event. We show some applications of the model: we find clusters of news events based on the level of participation of countries, identifying global and impactful events in certain areas. Also, we show groups of similar countries, finding promising insights about their relationships. This model can be useful at finding unsuspected relations among countries based on the news coverage and country participation, identifying different levels of news coverage in the world, and finding bias in international news sources.

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  • (2024)Detecting Local Crisis Events: A Case Study on the Colorado Wildfires through Social Media and Satellite Imagery2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)10.1109/M2GARSS57310.2024.10537590(88-92)Online publication date: 15-Apr-2024
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  • (2021)Analysis of information cascading and propagation barriers across distinctive news eventsJournal of Intelligent Information Systems10.1007/s10844-021-00654-9Online publication date: 31-Aug-2021
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cover image ACM Conferences
SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
August 2015
1198 pages
ISBN:9781450336215
DOI:10.1145/2766462
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 the author(s) 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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Published: 09 August 2015

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Author Tags

  1. event modeling
  2. knowledge discovery
  3. localized events

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SIGIR '15 Paper Acceptance Rate 70 of 351 submissions, 20%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2024)Detecting Local Crisis Events: A Case Study on the Colorado Wildfires through Social Media and Satellite Imagery2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)10.1109/M2GARSS57310.2024.10537590(88-92)Online publication date: 15-Apr-2024
  • (2023)TopoBERT: a plug and play toponym recognition module harnessing fine-tuned BERTInternational Journal of Digital Earth10.1080/17538947.2023.223979416:1(3045-3063)Online publication date: 10-Aug-2023
  • (2021)Analysis of information cascading and propagation barriers across distinctive news eventsJournal of Intelligent Information Systems10.1007/s10844-021-00654-9Online publication date: 31-Aug-2021
  • (2021)Location- and keyword-based querying of geo-textual data: a surveyThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-021-00661-w30:4(603-640)Online publication date: 30-Mar-2021
  • (2020)Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)10.1109/ATSIP49331.2020.9231798(1-6)Online publication date: Sep-2020
  • (2019)Multidimensional Mining of Massive Text DataSynthesis Lectures on Data Mining and Knowledge Discovery10.2200/S00903ED1V01Y201902DMK01711:2(1-198)Online publication date: 21-Mar-2019
  • (2019)Multidimensional analysis of hot events from social media sourcesProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297488(2112-2119)Online publication date: 8-Apr-2019
  • (2018)Critical thinking of young citizens towards news headlines in ChileComunicar10.3916/C54-2018-1026:54(101-110)Online publication date: 1-Jan-2018
  • (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
  • (2018)GeoBurst+ACM Transactions on Intelligent Systems and Technology10.1145/30661669:3(1-24)Online publication date: 18-Jan-2018
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