eprintid: 10140377
rev_number: 16
eprint_status: archive
userid: 608
dir: disk0/10/14/03/77
datestamp: 2021-12-15 09:50:17
lastmod: 2022-12-12 11:49:23
status_changed: 2021-12-15 09:50:17
type: article
metadata_visibility: show
creators_name: Ogie, RI
creators_name: O'Brien, S
creators_name: Federici, FM
title: Towards using agent-based modelling for collaborative translation of crisis information: A systematic literature review to identify the underlying attributes, behaviours, interactions, and environment of agents
ispublished: pub
divisions: UCL
divisions: B03
divisions: C01
divisions: J42
divisions: J40
keywords: Translation; Disaster; Crowdsourcing; Collaborative; Agent-based modelling; ABM
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
abstract: Collaboration in language translation has a long history and continues to develop in the form of crowdsourced and community translation. More recently, efforts in collaborative translation for crisis communication have been noted. These efforts are far from being mature in nature. We propose that Agent Based Modelling (ABM) for crisis translation could have significant benefits for the field of disaster response. A systematic literature review reveals how little consideration has been given to the topic to date. We review the limited literature from the perspective of agent's attributes, behaviours, interactions, and their environmental and operational factors. These are useful as a list of observations to be considered in the future modelling of collaborative translation. The complexities of ABM for collaborative translation are also highlighted and we propose some theoretical underpinnings that could be used to further enhance ABM for collaborative crisis translation. Based on the new knowledge generated to support accurate modelling of collaborative translation, we conclude that ABM may offer an opportunity to verify if, and how, translation crowdsourcing can be best optimised to support multilingual communication across the different phases of a disaster or crisis lifecycle. ABM could offer opportunities to assess rules, attitudes, behaviours, and interactions of multiple actors, from professionals to bilingual volunteers in rare, non-commercial language combinations, with the view of identifying positive rewarding mechanisms, including both financial incentives and the opportunity to broaden one's translation experience.
date: 2022-01
date_type: published
publisher: Elsevier BV
official_url: https://doi.org/10.1016/j.ijdrr.2021.102717
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1909738
doi: 10.1016/j.ijdrr.2021.102717
lyricists_name: Federici, Federico
lyricists_id: FFEDE17
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: International Journal of Disaster Risk Reduction
volume: 68
article_number: 102717
citation:        Ogie, RI;    O'Brien, S;    Federici, FM;      (2022)    Towards using agent-based modelling for collaborative translation of crisis information: A systematic literature review to identify the underlying attributes, behaviours, interactions, and environment of agents.                   International Journal of Disaster Risk Reduction , 68     , Article 102717.  10.1016/j.ijdrr.2021.102717 <https://doi.org/10.1016/j.ijdrr.2021.102717>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10140377/1/1-s2.0-S2212420921006786-main.pdf