research-article

Robust detection of hyper-local events from geotagged social media data

Authors:

Mor NaamanAuthors Info & Claims

MDMKDD '13: Proceedings of the Thirteenth International Workshop on Multimedia Data Mining

Article No.: 2, Pages 1 - 9

https://doi.org/10.1145/2501217.2501219

Published: 11 August 2013 Publication History

Abstract

An increasing number of location-annotated content available from social media channels like Twitter, Instagram, Foursquare and others are reflecting users' local activities and their attention like never before. In particular, we now have enough available data to start extracting real-time local information from social media. In this paper, we focus on the problem of hyper-local event detection, with the goal of enabling a monitoring and alerts system for public management officers, journalists and other users. We present a method for real-time hyper-local event detection from Instagram photos data, using two computational steps. We first use time series analysis to detect abnormal signals in a small region. We then use a classifier to decide if the detected activity corresponds to an actual event. Testing on a large-scale dataset of New York City photos, our system detects hyper-local events with high accuracy.

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Cited By

Pal AWang JWu YKant KLiu ZSato K(2023)Social Media Driven Big Data Analysis for Disaster Situation Awareness: A TutorialIEEE Transactions on Big Data10.1109/TBDATA.2022.31584319:1(1-21)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TBDATA.2022.3158431
Liu SLong YZhang LLiu H(2021)Semantic Enhancement of Human Urban Activity Chain Construction Using Mobile Phone Signaling DataISPRS International Journal of Geo-Information10.3390/ijgi1008054510:8(545)Online publication date: 13-Aug-2021
https://doi.org/10.3390/ijgi10080545
Kravi EKanza YKimelfeld BReichart R(2021)Location Classification Based on TweetsProceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery10.1145/3486635.3491075(51-60)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3486635.3491075
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Index Terms

Robust detection of hyper-local events from geotagged social media data
1. Information systems
  1. Information systems applications
    1. Data mining
    2. Multimedia information systems

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Published In

cover image ACM Conferences

MDMKDD '13: Proceedings of the Thirteenth International Workshop on Multimedia Data Mining

August 2013

34 pages

ISBN:9781450323338

DOI:10.1145/2501217

Conference Chairs:
Aaron Baughman
IBM, RTP, NC
,
Jia-Yu Pan
Google Inc., Mountain View, CA
,
Jiang (John) Gao
Nokia Inc., Sunnyvale, CA
,
Yu-Ru Lin
University of Pittsburgh, Pittsburgh, PA
,
Vincent Oria
New Jersey Institute of Technology, Newark, NJ

Copyright © 2013 ACM.

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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Published: 11 August 2013

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KDD' 13

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KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

August 11, 2013

Illinois, Chicago

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MDMKDD '13 Paper Acceptance Rate 3 of 5 submissions, 60%;

Overall Acceptance Rate 3 of 5 submissions, 60%

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The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining

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Cited By

Pal AWang JWu YKant KLiu ZSato K(2023)Social Media Driven Big Data Analysis for Disaster Situation Awareness: A TutorialIEEE Transactions on Big Data10.1109/TBDATA.2022.31584319:1(1-21)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TBDATA.2022.3158431
Liu SLong YZhang LLiu H(2021)Semantic Enhancement of Human Urban Activity Chain Construction Using Mobile Phone Signaling DataISPRS International Journal of Geo-Information10.3390/ijgi1008054510:8(545)Online publication date: 13-Aug-2021
https://doi.org/10.3390/ijgi10080545
Kravi EKanza YKimelfeld BReichart R(2021)Location Classification Based on TweetsProceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery10.1145/3486635.3491075(51-60)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3486635.3491075
Wang YGelli Fvon derWeth CKankanhalli M(2021)A Matrix Factorization Based Framework for Fusion of Physical and Social SensorsIEEE Transactions on Multimedia10.1109/TMM.2020.301622223(2782-2793)Online publication date: 2021
https://doi.org/10.1109/TMM.2020.3016222
Xu SLi SHuang W(2019)A spatial‐temporal‐semantic approach for detecting local events using geo‐social media dataTransactions in GIS10.1111/tgis.1258924:1(142-173)Online publication date: 28-Oct-2019
https://doi.org/10.1111/tgis.12589
Jin YLi X(2019)Visualizing the Hotspots and Emerging Trends of Multimedia Big Data through ScientometricsMultimedia Tools and Applications10.1007/s11042-018-6172-578:2(1289-1313)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1007/s11042-018-6172-5
Liu QGao XChen G(2019)LP-HD: An Efficient Hybrid Model for Topic Detection in Social NetworkProceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 201910.1007/978-3-030-19063-7_67(841-857)Online publication date: 23-May-2019
https://doi.org/10.1007/978-3-030-19063-7_67
dos Santos EQuiles MFaria F(2018)A correlation-based approach for event detection in InstagramJournal of Intelligent & Fuzzy Systems10.3233/JIFS-16948234:5(2971-2982)Online publication date: 24-May-2018
https://doi.org/10.3233/JIFS-169482
Zhang SPal AKant KVucetic S(2018)Enhancing Disaster Situational Awareness via Automated Summary Dissemination of Social Media Content2018 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2018.8647340(1-7)Online publication date: Dec-2018
https://doi.org/10.1109/GLOCOM.2018.8647340
Kukka HPakanen MBadri MOjala TLee CPoltrock SBarkhuus LBorges MKellogg W(2017)Immersive Street-level Social Media in the 3D Virtual CityProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing10.1145/2998181.2998341(2422-2435)Online publication date: 25-Feb-2017
https://dl.acm.org/doi/10.1145/2998181.2998341
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