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Analysing Volunteer Engagement in Humanitarian Mapping: Building Contributor Communities at Large Scale

Published: 27 February 2016 Publication History

Abstract

Organisers of large-scale crowdsourcing initiatives need to consider how to produce outcomes with their projects, but also how to build volunteer capacity. The initial project experience of contributors plays an important role in this, particularly when the contribution process requires some degree of expertise. We propose three analytical dimensions to assess first-time contributor engagement based on readily available public data: cohort analysis, task analysis, and observation of contributor performance. We apply these to a large-scale study of remote mapping activities coordinated by the Humanitarian OpenStreetMap Team, a global volunteer effort with thousands of contributors. Our study shows that different coordination practices can have a marked impact on contributor retention, and that complex task designs can be a deterrent for certain contributor groups. We close by providing recommendations about how to build and sustain volunteer capacity in these and comparable crowdsourcing systems.

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Cited By

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  • (2024)Productivity or Equity? Tradeoffs in Volunteer Microtasking in Humanitarian OpenStreetMapProceedings of the ACM on Human-Computer Interaction10.1145/36373908:CSCW1(1-34)Online publication date: 26-Apr-2024
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  • (2024)A Quantitative Approach to Identifying Emergent Editor Roles in Open Street MapProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641963(1-14)Online publication date: 11-May-2024
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  1. Analysing Volunteer Engagement in Humanitarian Mapping: Building Contributor Communities at Large Scale

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    cover image ACM Conferences
    CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing
    February 2016
    1866 pages
    ISBN:9781450335928
    DOI:10.1145/2818048
    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 the author(s) 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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    Publication History

    Published: 27 February 2016

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    Author Tags

    1. Crowdsourcing
    2. Engagement
    3. Peer Production
    4. Retention
    5. Social Computing
    6. Task Analysis
    7. Task Design

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    • Research-article

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    • EPSRC
    • Intel Collaborative Research Institute: Cities

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    CSCW '16
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    CSCW '16: Computer Supported Cooperative Work and Social Computing
    February 27 - March 2, 2016
    California, San Francisco, USA

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    CSCW '16 Paper Acceptance Rate 142 of 571 submissions, 25%;
    Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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    Cited By

    View all
    • (2024)Productivity or Equity? Tradeoffs in Volunteer Microtasking in Humanitarian OpenStreetMapProceedings of the ACM on Human-Computer Interaction10.1145/36373908:CSCW1(1-34)Online publication date: 26-Apr-2024
    • (2024)Temaneki: Map-Based Collaboration Tool for Consensus-Building in Student-Run Festival Management TeamsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651013(1-8)Online publication date: 11-May-2024
    • (2024)A Quantitative Approach to Identifying Emergent Editor Roles in Open Street MapProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641963(1-14)Online publication date: 11-May-2024
    • (2023)Increasing Participation in Peer Production Communities with the Newcomer HomepageProceedings of the ACM on Human-Computer Interaction10.1145/36100717:CSCW2(1-26)Online publication date: 4-Oct-2023
    • (2023)Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in AfricaProceedings of the 31st ACM International Conference on Advances in Geographic Information Systems10.1145/3589132.3625598(1-9)Online publication date: 13-Nov-2023
    • (2023)The role of volunteer experience on performance on online volunteering platformsProduction and Operations Management10.1111/poms.1387932:2(416-433)Online publication date: 1-Feb-2023
    • (2022)Citizen Engagement With Open Government DataResearch Anthology on Citizen Engagement and Activism for Social Change10.4018/978-1-6684-3706-3.ch081(1539-1566)Online publication date: 2022
    • (2022)Revisiting Engagement in Humanitarian Mapping: An Updated Analysis of Contributor Retention in OpenStreetMapExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519728(1-6)Online publication date: 27-Apr-2022
    • (2022)Improving OpenStreetMap missing building detection using few‐shot transfer learning in sub‐Saharan AfricaTransactions in GIS10.1111/tgis.1294126:8(3125-3146)Online publication date: 4-May-2022
    • (2022)Playing during a crisis: The impact of commercial video games on the reconfiguration of people’s life during the COVID-19 pandemicHuman–Computer Interaction10.1080/07370024.2022.205072539:5-6(338-379)Online publication date: 30-Mar-2022
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