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Participatory detection of language barriers towards multilingual sustainability(ies) in Africa

dc.contributor.authorLitre, Gabrielaen_ZA
dc.contributor.authorHirsch, Fabriceen_ZA
dc.contributor.authorCaron, Patricken_ZA
dc.contributor.authorAndrason, Alexanderen_ZA
dc.contributor.authorBonnardel, Nathalieen_ZA
dc.contributor.authorFointiat, Valerieen_ZA
dc.contributor.authorNekoto, Wilhelmina Onyothien_ZA
dc.contributor.authorAbbott, Jadeen_ZA
dc.contributor.authorDobre, Cristianaen_ZA
dc.contributor.authorDalboni, Julianaen_ZA
dc.contributor.authorSteuckardt, Agnesen_ZA
dc.contributor.authorLuxardo, Giancarloen_ZA
dc.contributor.authorBohbot, Herveen_ZA
dc.date.accessioned2022-07-05T11:59:59Z
dc.date.available2022-07-05T11:59:59Z
dc.date.issued2022-07-04
dc.identifier.citationLitre, G. et al. 2022. Participatory detection of language barriers towards multilingual sustainability(ies) in Africa. Sustainability, 14(13):8133, doi:10.3390/su14138133.
dc.identifier.issn2071-1050 (online)
dc.identifier.otherdoi:10.3390/su14138133
dc.identifier.urihttp://hdl.handle.net/10019.1/125472
dc.descriptionCITATION: Litre, G. et al. 2022. Participatory detection of language barriers towards multilingual sustainability(ies) in Africa. Sustainability, 14(13):8133, doi:10.3390/su14138133.
dc.descriptionThe original publication is available at https://www.mdpi.com
dc.description.abstractAfter decades of political, economic, and scientific efforts, humanity has not gotten any closer to global sustainability. With less than a decade to reach the UN Sustainable Development Goals (SDGs) deadline of the 2030 Agenda, we show that global development agendas may be getting lost in translation, from their initial formulation to their final implementation. Sustainability science does not “speak” most of the 2000 languages from Africa, where the lack of indigenous terminology hinders global efforts such as the COVID-19 pandemic fight. Sociolinguistics, social psychology, cognitive ergonomics, geography, environmental sciences, and artificial intelligence (AI) are all relevant disciplinary fields to uncover the “foreign language effect” that hinders the implementation of the SDGs in Africa. We make the case for detecting and addressing language barriers towards multilingual sustainability in Africa by (1) exploring the ”foreign language effect” among African decision-makers and recognising their alternative social representations about sustainability; and (2) detecting Western language stereotypes about sustainability. We propose rethinking SDG-related scientific notions through participatory natural language processing (NLP) and the study of African social representations of sustainability, thus enabling a more inclusive and efficient approach to “sustainability(ies)”.en_ZA
dc.format.extent15 pages
dc.language.isoen_ZAen_ZA
dc.publisherMDPI
dc.subjectMultilingualismen_ZA
dc.titleParticipatory detection of language barriers towards multilingual sustainability(ies) in Africaen_ZA
dc.typeArticleen_ZA
dc.description.versionPublisher's version
dc.rights.holderAuthors retain copyright


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