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Offline Strangers, Online Friends: Bridging Classroom Gender Segregation with WhatsApp

Published: 18 April 2015 Publication History

Abstract

Mobile Instant Messaging (MIM) apps such as WhatsApp are heralding new communication behaviors amongst students in peri-urban India. From an ethnographic study of a co-ed engineering college, we describe and analyze the role of WhatsApp in both engendering and balancing the ripples caused by cross gender communication. Through in-depth interviews and immersive participant observations in both physical as well as digital spaces, we show how WhatsApp emerges as the backbone of student interactions in a gender segregated academic environment. In analyzing social conditions and identifying structural features of WhatsApp that led to its bottoms up appropriation, our study presents possibilities for educators and designers aiming to create technology enabled collaborative spaces between people otherwise hemmed in by social norms from reaching out to one another.

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    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
    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 2015

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    Author Tags

    1. cross gender communication
    2. indian youth
    3. mobile instant messaging
    4. whatsapp

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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

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    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (2024)ARIMA, Prophet, and LSTM-based analysis of demographic factors in smartphone usage patternsMicrosystem Technologies10.1007/s00542-024-05734-8Online publication date: 3-Aug-2024
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    • (2023)Interacting with Masculinities: A Scoping ReviewExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585770(1-12)Online publication date: 19-Apr-2023
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