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ANDREA SCIANDRA

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Position

Ricercatore a tempo det. art. 24 c. 3 lett. A L. 240/2010

Address

PIAZZA CAPITANIATO, 3 - PALAZZO DEL CAPITANIO - PADOVA

Telephone

0498274371

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, Large Language Models, 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 Summer Schools 'IQLA-GIAT in Quantitative Analysis of Textual Data', and 'Social Statistics'. He is currently a member of: the Italian Statistical Society (SIS), the GIAT network (Interdisciplinary Text Analysis Group), and the 'Text.it' discussion panel on Statistical Methods for Textual Data Analysis (SIS group "SDS - Statistics & Data Science"). He previously cooperated with the SWG research institute in Trieste and was co-founder of Rante, the first Italian R User Group.

Notices

Office hours

  • Thursday from 15:00 to 17:00

Publications

Ferretti, R., Rubaltelli, E., & Sciandra, A. (2023). Analysts’ Recommendations and Press Sentiment: Complementary or Alternative to Drive Investors’ Trading Behavior?, Journal of Behavioral Finance.

Sciandra, A., Trevisani, M., & Tuzzi,A. (2023). Diagnostics for topic modelling. The dubious joys of making quantitative decisions in a qualitative environment. In P. Cerchiello, A. Agosto, S. Osmetti, A. Spelta (eds), Proceedings of the Statistics and Data Science Conference, Pavia University Press.

Neresini F, Giardullo P, Di Buccio E, Morsello B, Cammozzo A, Sciandra A, & Boscolo M. (2023) When scientific experts come to be media stars: An evolutionary model tested by analysing coronavirus media coverage across Italian newspapers. PLOS ONE 18(4): e0284841.

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.

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., 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 XXXVII International Conference of the Spanish Society for Natural Language Processing. (Vol. 2943, pp. 210-232). CEUR Workshop Proceedings.

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), Rennes, France, 2020 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.

Surian, A., & Sciandra, A. (2019). City Prosperity Index: a comparative analysis of Latin American and Mediterranean cities based on well-being and social inclusion features. ASA Conference short papers.

Sciandra A. (2018), “Grandi opere” civili. L’effetto del capitale sociale bridging sulla cultura civile in Italia, Padova: Cleup.

Research Area

Social Research Methodology:
Statistical Learning for Social Sciences
Text Mining & Opinion Analysis
Social Network Analysis
Topic Modelling
Stance Detection
Large Language Models


Sociology/Social Sciences:
Social Media
Poverty and Social Exclusion
Internet Skills
Social Capital
Civil Culture

Thesis proposals

Social Media and Initial Public Offering: analysis of the Italian case since 2010.

Analysis of the BERT (Bidirectional Encoder Representations from Transformers) natural language model and comparison with related techniques in the R environment.

R functions and libraries for text mining in Italian.

Financial sentiment in social media.

PNRR monitoring: methodologies and indicators.

Indicators for sustainable development (SDS - agenda2030).

Recent trends in Stance Detection.

Strategies for detecting AI-written text.