Amaia Perez de Arriluzea Madariaga
She has worked for the last 7 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 > Natural Language Generation (NLG) > Multidisciplinarity & Interdisciplinarity > Computational Sociolinguistics > Computer-Mediated Communication > Computer-Mediated Discourse > Multilingual settings online > Low resource languages > Minoritised languages > Basque
- Bibliometrics/Scientometrics
Published Journal Papers:
Peñafiel-Saiz, Carmen; Echegaray-Eizaguirre, Lázaro; Perez-de-Arriluzea-Madariaga, Amaia. (2024). The Impact of Biases on Health Disinformation Research. Societies, 14(64). https://doi.org/10.3390/soc14050064
Related Data Repository:
Perez-de-Arriluzea-Madariaga, A. (2024). The Impact of Biases on Health Disinformation Research [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11120540
Published books:
Morales i Gras, J. & Perez de Arriluzea Madariaga, A. (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, J. & Perez de Arriluzea Madariaga, A. (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.