research-article

Unsupervised Event Tracking by Integrating Twitter and Instagram

Authors:

Prasanna Giridhar,

Tarek AbdelzaherAuthors Info & Claims

SocialSens'17: Proceedings of the 2nd International Workshop on Social Sensing

Pages 81 - 86

https://doi.org/10.1145/3055601.3055615

Published: 18 April 2017 Publication History

Abstract

This paper proposes an unsupervised framework for tracking real world events from their traces on Twitter and Instagram. Empirical data suggests that event detection from Instagram streams errs on the false-negative side due to the relative sparsity of Instagram data (compared to Twitter data), whereas event detection from Twitter can suffer from false-positives, at least if not paired with careful analysis of tweet content. To tackle both problems simultaneously, we design a unified unsupervised algorithm that fuses events detected originally on Instagram (called I-events) and events detected originally on Twitter (called T-events), that occur in adjacent periods, in an attempt to combine the benefits of both sources while eliminating their individual disadvantages. We evaluate the proposed framework with real data crawled from Twitter and Instagram. The results indicate that our algorithm significantly improves tracking accuracy compared to baselines.

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Cited By

Azad Moghddam HCarlson JWyllie JMahmudur Rahman S(2024)Scroll, Stop, Shop: Decoding impulsive buying in social commerceJournal of Business Research10.1016/j.jbusres.2024.114776182(114776)Online publication date: Sep-2024
https://doi.org/10.1016/j.jbusres.2024.114776
Hernández-Aguilar JCalderón-Segura YMedina-Ángel GMoreno-Bernal PBonilla-Sánchez Fdel Carmen Peralta-Abarca JBurlak G(2024)Sentiment Analysis for the Identification of Negative Situations in Soccer Matches Using Social Networks and Artificial Intelligence TechniquesSN Computer Science10.1007/s42979-024-03401-35:8Online publication date: 6-Nov-2024
https://doi.org/10.1007/s42979-024-03401-3
Korneev AKovalchuk MFilatova ATereshkin S(2023)Towards comparable event detection approaches development in social mediaProcedia Computer Science10.1016/j.procs.2022.11.015212:C(312-321)Online publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.procs.2022.11.015
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Published In

cover image ACM Conferences

SocialSens'17: Proceedings of the 2nd International Workshop on Social Sensing

April 2017

97 pages

ISBN:9781450349772

DOI:10.1145/3055601

Copyright © 2017 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: 18 April 2017

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CPS Week '17: Cyber Physical Systems Week 2017

April 18 - 21, 2017

PA, Pittsburgh, USA

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Cited By

Azad Moghddam HCarlson JWyllie JMahmudur Rahman S(2024)Scroll, Stop, Shop: Decoding impulsive buying in social commerceJournal of Business Research10.1016/j.jbusres.2024.114776182(114776)Online publication date: Sep-2024
https://doi.org/10.1016/j.jbusres.2024.114776
Hernández-Aguilar JCalderón-Segura YMedina-Ángel GMoreno-Bernal PBonilla-Sánchez Fdel Carmen Peralta-Abarca JBurlak G(2024)Sentiment Analysis for the Identification of Negative Situations in Soccer Matches Using Social Networks and Artificial Intelligence TechniquesSN Computer Science10.1007/s42979-024-03401-35:8Online publication date: 6-Nov-2024
https://doi.org/10.1007/s42979-024-03401-3
Korneev AKovalchuk MFilatova ATereshkin S(2023)Towards comparable event detection approaches development in social mediaProcedia Computer Science10.1016/j.procs.2022.11.015212:C(312-321)Online publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.procs.2022.11.015
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Singh NRoy NGangopadhyay A(2018)Analyzing the Sentiment of Crowd for Improving the Emergency Response Services2018 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2018.00067(1-8)Online publication date: Jun-2018
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Singh N(2018)PhD Forum: Monitoring and Detecting Flood by Fusing the Sensor and Social Media Data Streams2018 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2018.00065(250-251)Online publication date: Jun-2018
https://doi.org/10.1109/SMARTCOMP.2018.00065
Seifikar MFarzi SMahmoodabad S(2018)Kermanshah Earthquake Event Tracking Through Persian Tweets2018 9th International Symposium on Telecommunications (IST)10.1109/ISTEL.2018.8661059(424-428)Online publication date: Dec-2018
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Marica IPatrascu M(2017)A geno-neural approach to data fusion for fixed infrared sensor arrays2017 16th RoEduNet Conference: Networking in Education and Research (RoEduNet)10.1109/ROEDUNET.2017.8123751(1-5)Online publication date: Sep-2017
https://doi.org/10.1109/ROEDUNET.2017.8123751

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