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The influence of social norms on synchronous versus asynchronous communication technologies

Published: 22 October 2013 Publication History

Abstract

Extensive theoretic work attempts to address the role of social norms in describing, explaining and predicting human behaviors. However, traditional methods of assessing the effect can be expensive and time consuming. In this work, we utilize data generated by the call detail records (CDRs) and geo-tagged Tweets (GTTs) as enabling proxies for understanding human activity patterns. We present preliminary results on the effect of social norms on communication patterns during different times of the day, including prayer times. Specifically, we investigate the variations in population behavioral patterns with respect to social norms between asynchronous (i.e., Twitter) and synchronous (i.e., phone calls) communication mediums in the city of Riyadh, the capital of Saudi Arabia.

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Cited By

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  • (2017)CodeonProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025972(6220-6231)Online publication date: 2-May-2017
  • (2016)Towards Urban Tribes in Saudi Arabia: Social Subcultures Emerging from Urban Analytics of Social MediaSocial Computing and Social Media10.1007/978-3-319-39910-2_24(258-266)Online publication date: 22-Jun-2016
  • (2014)TwitterProceedings of the 2014 ACM conference on Web science10.1145/2615569.2615688(33-41)Online publication date: 23-Jun-2014

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  1. The influence of social norms on synchronous versus asynchronous communication technologies

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    cover image ACM Conferences
    PDM '13: Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
    October 2013
    50 pages
    ISBN:9781450323970
    DOI:10.1145/2509352
    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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    New York, NY, United States

    Publication History

    Published: 22 October 2013

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    Author Tags

    1. activity patterns
    2. call detail records
    3. social media
    4. social norms

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    MM '13
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    MM '13: ACM Multimedia Conference
    October 22, 2013
    Barcelona, Spain

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    PDM '13 Paper Acceptance Rate 7 of 9 submissions, 78%;
    Overall Acceptance Rate 7 of 9 submissions, 78%

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    Cited By

    View all
    • (2017)CodeonProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025972(6220-6231)Online publication date: 2-May-2017
    • (2016)Towards Urban Tribes in Saudi Arabia: Social Subcultures Emerging from Urban Analytics of Social MediaSocial Computing and Social Media10.1007/978-3-319-39910-2_24(258-266)Online publication date: 22-Jun-2016
    • (2014)TwitterProceedings of the 2014 ACM conference on Web science10.1145/2615569.2615688(33-41)Online publication date: 23-Jun-2014

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