Andrea Sciandra is assistant professor in social statistics at the Department of Philosophy, Sociology, Education and Applied Psychology (University of Padova). He has a master’s degree in Statistics for Demographic and Social Sciences and a PhD in Sociology and Social Research. His main research interests include social media, text mining, social network analysis, stance detection, and machine learning techniques applied to social sciences. He was a lecturer in the PhD in Human Rights, Society, and Multi-level Governance and in the Social Media course (Master of Science in Statistics) at the University of Padova. He is currently a member of: the Italian Statistical Society, the GIAT network (Interdisciplinary Text Analysis Group), and of the FINMORE thematic table dedicated to financial research. He previously cooperated with the SWG research institute in Trieste and was co-founder of Rante, the first Italian R User Group.
Martini, M. C., Pelle, E., Poggi, F., & Sciandra, A. (2022). The role of citation networks to explain academic promotions: an empirical analysis of the Italian national scientific qualification. Scientometrics, 127(10), 5633-5659.
Ferretti, R., & Sciandra, A. (2022). Does the attention-grabbing mechanism work on Sundays? Influence of social and religious factors on investors’ attention. Review of Behavioral Finance, 14(5), 791-805.
Brondi, S., Neresini, F., & Sciandra, A. (2022). The social representation of nanotechnologies and its relationships with those of science and technology: Making familiar the unfamiliar between enthusiasm and caution. Journal of Risk Research, 25(1), 113-137.
Sciandra, A., Surian, A., & Finos, L. (2021). Supervised machine learning methods to disclose action and information in “UN 2030 agenda” social media data. Social Indicators Research, 156(2), 689-699.
Sciandra, A., Trevisani, M., & Tuzzi, A. (2021). Sulle tracce dell’espressione dell’interiorità: analisi diacronica di un corpus di narrativa italiana del XIX-XX secolo. Rivista Internazionale di Tecnica della Traduzione/International Journal of Translation, 23, 219-233.
Lai, M., Cignarella, A. T., Finos, L., & Sciandra, A. (2021). WordUp! at VaxxStance 2021: Combining Contextual Information with Textual and Dependency-Based Syntactic Features for Stance Detection. In CEUR WORKSHOP PROCEEDINGS (Vol. 2943, pp. 210-232).
Crabu, S., Giardullo, P., Sciandra, A., & Neresini, F. (2021). Politics overwhelms science in the Covid-19 pandemic: Evidence from the whole coverage of the Italian quality newspapers. PloS one, 16(5), e0252034.
Sciandra, A. (2020). COVID-19 outbreak through Tweeters’ words: monitoring Italian social media communication about COVID-19 with Text Mining and Word Embeddings. In 2020 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6).
Surian, A., & Sciandra, A. (2019). Digital divide: addressing Internet skills. Educational implications in the validation of a scale. Research in Learning Technology, 27.
Solari, D., Sciandra, A., & Finos, L. (2019). TextWiller: Collection of functions for text mining, specially devoted to the Italian language. Journal of Open Source Software, 4(41), 1256.