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

Collaboration in language translation has a long history and continues to develop the form of crowdsourced community translation. More recently, efforts collaborative for crisis communication have been noted. These are far from being mature nature. We propose that Agent Based Modelling (ABM) could significant benefits field disaster response. A systematic literature review reveals how little consideration given topic date. limited perspective agent's attributes, behaviours, interactions, their environmental operational factors. useful as list observations be considered future modelling The complexities ABM also highlighted we some theoretical underpinnings used further enhance on new knowledge generated support accurate translation, conclude may offer an opportunity verify if, how, crowdsourcing can best optimised multilingual across different phases or lifecycle. opportunities assess rules, attitudes, interactions multiple actors, professionals bilingual volunteers rare, non-commercial combinations, with view identifying positive rewarding mechanisms, including both financial incentives broaden one's experience.