ADAPT Academic M. Atif Qureshi (ADAPT Centre, eXplainable Analytics Group, Faculty of Business, Technological University Dublin) recently published a research article on inclusive policy making concerning migrants in Ireland. The paper is titled “InÉire: An Interpretable NLP Pipeline Summarising Inclusive Policy Making Concerning Migrants in Ireland” and was published via IEEEAccess in July 2023.
The paper was co-authored by colleagues Arefeh Kazemi (School of Computer Science, University College Dublin), Arjumand Younus (School of Sociology, University College Dublin), Mingyeong Jeon (ADAPT Centre, eXplainable Analytics Group, Faculty of Business, Technological University Dublin) and Simon Caton (School of Computer Science, University College Dublin).
The research paper outlines the challenges associated with reaching out to marginal and other migrant communities to elicit their political views and opinions. As identified by the paper, social media provides a certain amount of online activism particularly in societies with abundant multicultural identities, however, it remains challenging to isolate voices of migrant communities in English-speaking countries.
The paper pursues a case study of Ireland’s Twitter landscape specifically with regards to migrant and native activists presenting a methodology that accurately isolates the Irish migrant voice with as little as 25 X posts (previously tweets). The paper aims to distil (via sentiment analysis) polarities of views, segment (via BERT-based topic modelling) and summarise (via ChatGPT) differentiated views in a consumable manner for policymakers. This approach enables policymakers to further their understanding of multicultural communities so as to inform their decision-making processes.
This research was supported by the Irish Research Council under Award COALESCE/2021/112.
The paper is available open access here.
