Towards participatory video 2.0

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Abstract

Participatory video (PV) is an established practice for enabling communities to "speak truth to power" and has been widely used by local, national and international Non-Governmental Organizations (NGOs). However, the digital media landscape has changed dramatically since PV became widely accessible with the rise of the camcorder in the 1980s. Current media practices have evolved considerably since, yet PV remains essentially unchanged. We report on an investigation of current PV practices and reflect on these in terms of what the future for PV holds. We conducted interviews with staff at a global humanitarian network who directly and indirectly engage in community story capture; and explore their reflections on the potentials and barriers to PV use. We propose a new vision for PV that draws on current visual media production, consumption and distribution technologies and practices, and propose principles on which PV 2.0, a new generation of Participatory Video can be founded.
Original languageEnglish
Title of host publicationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems
EditorsJoanna McGrenere, Andy Cockburn
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages13
ISBN (Print)9781450367080
DOIs
Publication statusPublished - Apr 2020
EventInternational Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America
Duration: 25 Apr 202030 Apr 2020
https://chi2020.acm.org (Website)
https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2020
Abbreviated titleCHI 2020
CountryUnited States of America
CityHonolulu
Period25/04/2030/04/20
Internet address

Cite this

Varghese, D., Olivier, P., & Bartindale, T. (2020). Towards participatory video 2.0. In J. McGrenere, & A. Cockburn (Eds.), Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems [565] Association for Computing Machinery (ACM). https://doi.org/10.1145/3313831.3376694