Amaia Perez de Arriluzea Madariaga
Amaia Perez de Arriluzea Madariaga (ORCID: 0009-0001-4090-0578) is a PhD student in the Language Acquisition in Multilingual Settings (LAMS) programme, in the Language and Speech research team, and with the Computational Sociolinguitics research topic. She is co-supervised by Dr. David Lasagabaster (UPV/EHU) and Dr. Natxo Sorolla (UNIZAR). She holds a BA in English Philology from the University of the Basque Country (2011) as well as an MA in Teacher Training in Secondary Education, Baccalaureate, Vocational Training and Official School of Languages from the University of the Basque Country (2013). She also holds a postgraduate degree in Language Planning - HIZNET (2013) from the University of the Basque Country, in collaboration with the Asmoz Foundation of Eusko Ikaskuntza - Sociedad de Estudios Vascos - Society of Basque Studies.
Her research is centred on the observation and (network) analysis of the role of language variation and interaction of Basque speakers/users in multilingual settings in Social Media.
She has worked for the last 9 years in several Advanced Data Analytics projects in different companies, combining quantitative and qualitative methods with inductive approaches and Artificial Intelligence models from the Computational Social Science field such as NLP, Statistical Analysis, Social Network Analysis (SNA), and Reticular Discourse Analysis (e.g., Semantic Analysis).
Research Interests
- Computational Social Science > Artificial Intelligence > Natural Language Processing (NLP) > Supervised & Unsupervised Learning > Quantitave & Qualitative Methods > Social Network Analysis > Multidisciplinarity & Interdisciplinarity > Computational Sociolinguistics > Computer-Mediated Communication > Computer-Mediated Discourse > Multilingual settings online > Low resource languages > Minoritised languages > Basque
- Bibliometrics/Scientometrics
Published Journal Papers:
Perez-de-Arriluzea-Madariaga, A. (2026). Basque-language interaction on TikTok: convergence, divergence and platform-mediated participation. Sociolinguistica. https://doi.org/10.1515/soci-2026-0022
Perez-de-Arriluzea-Madariaga, Amaia & Morales-i-Gras, Jordi. (2026). Vector-Based AI and Methodological Hybridization in Journalism and Media Research: A Structured Review and Exploratory Map of Analytical Profiles. Journalism and Media, 7(3), 172. https://doi.org/10.3390/journalmedia7030172
Perez-de-Arriluzea-Madariaga, Amaia. (2026). Sociolingüística computacional: metodologia, paradigmes i multidisciplinarietat. Treballs de Sociolingüística Catalana, 36, 15–28. https://doi.org/10.2436/20.2504.01.232
Perez‐de‐Arriluzea‐Madariaga, Amaia. (2025). Linguistic convergence and divergence of Basque on Twitter: a multilingual computational sociolinguistic analysis. Journal of Multilingual and Multicultural Development, 1–21. https://doi.org/10.1080/01434632.2025.2570841
Perez‐de‐Arriluzea‐Madariaga, Amaia. (2025). Computational Sociolinguistics: An Emerging Multidisciplinary Research Area. International Journal of Applied Linguistics, 35(3), 1298–1313. https://doi.org/10.1111/ijal.12696
Peñafiel-Saiz, Carmen, Echegaray-Eizaguirre, Lázaro & Perez-de-Arriluzea-Madariaga, Amaia. (2024). The Impact of Biases on Health Disinformation Research. Societies, 14(5), Article 64. https://doi.org/10.3390/soc14050064
Related Data Repositories:
Perez-de-Arriluzea-Madariaga, A. (2026). Basque-language interaction on TikTok: Convergence, divergence and platform-mediated participation_datasets [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21470029
Perez-de-Arriluzea-Madariaga, Amaia. (2025). Computational Sociolinguistics: An Emerging Multidisciplinary Research Area [Github repository]. https://github.com/Amaia-DataAnalyst/co-authorship-computational-sociolinguistics
Perez-de-Arriluzea-Madariaga, Amaia. (2024). Computational Sociolinguistics: An Emerging Multidisciplinary Research Area [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14262637
Perez-de-Arriluzea-Madariaga, Amaia. (2024). The Impact of Biases on Health Disinformation Research [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11120540
Published books and book chapters:
Morales i Gras, Jordi & Perez de Arriluzea, Amaia. (2026). Análisis de redes: introducción y guía práctica en la investigación social digital. In E. García-Mingo, H. Puente Bienvenido, I. Sábada Rodríguez, & M. Santiago Prieto (Eds.), Metodología de la investigación social digital. Miradas, técnicas, desafíos (pp. 53–72). Tirant Lo Blanch.
Morales i Gras, Jordi & Perez de Arriluzea Madariaga, Amaia. (2023). Hedabide euskaldunen audientziari buruzko sareen analisia: Twitterren jarraitzaile gehien dituzten Behategiari lotutako 7 hedabideen komunitateen analisia In H. Castro Egia & L. Mimenza Castillo (eds.), Euskal Hedabideen Urtekaria 2022-23, (pp. 119 – 135). Behategia. https://behategia.eus/eu/urtekaria/urtekaria-2022-23/
Morales i Gras, Jordi & Perez de Arriluzea Madariaga, Amaia. (2022). Euskal Esfera Publiko Digitalaren Kartografia. Ikerketa estrukturala eta influentzia soziala duten sare sozialetako (des)informazioaren hedapenari buruzko azterketa. Gasteiz: Eusko Jaurlaritzaren Argitalpen Zerbitzu Nagusia.