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Car Theft Reports: a Temporal Analysis from a Social Media Perspective

Published: 13 May 2019 Publication History

Abstract

Complex human behaviors related to crime require multiple sources of information to understand them. Social Media is a place where people share opinions and news. This allows events in the physical world like crimes to be reflected on Social Media. In this paper we study crimes from the perspective of Social Media, specifically car theft and Twitter. We use data of car theft reports from Twitter and car insurance companies in Chile to perform a temporal analysis. We found that there is an increasing correlation in recent years between the number of car theft reports in Twitter and data collected from insurance companies. We performed yearly, monthly, daily and hourly analyses. Though Twitter is an unstructured source and very noisy, it allows you to estimate the volume of thefts that are reported by the insurers. We experimented with a Moving Average to predict the tendency in the number of car theft reported to insurances using Twitter data and found that one month is the best time window for prediction.

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  • (2024)Characteristic features of robberies against residential property committed by organised groups in rural areasÛridičnij časopis Nacìonalʹnoï akademìï vnutrìšnìh sprav10.56215/naia-chasopis/3.2024.0914:3(9-21)Online publication date: 27-Aug-2024
  • (2022)Common-knowledge networks for university strategic research planningDecision Analytics Journal10.1016/j.dajour.2022.1000272(100027)Online publication date: Mar-2022

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        cover image ACM Other conferences
        WWW '19: Companion Proceedings of The 2019 World Wide Web Conference
        May 2019
        1331 pages
        ISBN:9781450366755
        DOI:10.1145/3308560
        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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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 13 May 2019

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        Author Tags

        1. Car thefts
        2. Temporal patterns
        3. Twitter

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        WWW '19
        WWW '19: The Web Conference
        May 13 - 17, 2019
        San Francisco, USA

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        Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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        • (2024)Characteristic features of robberies against residential property committed by organised groups in rural areasÛridičnij časopis Nacìonalʹnoï akademìï vnutrìšnìh sprav10.56215/naia-chasopis/3.2024.0914:3(9-21)Online publication date: 27-Aug-2024
        • (2022)Common-knowledge networks for university strategic research planningDecision Analytics Journal10.1016/j.dajour.2022.1000272(100027)Online publication date: Mar-2022

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