SURVEYS AND DIGITAL TRACE DATA
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Big data, digital traces, and digital behavioural data are well-known terms in social science. Essentially, it relates to the traces left online by human behavior and interactions. Some examples are social media posts, google trends and sensor data.
I studied the quality issues of social media data, and specifically Twitter, for the construction of social indicators.
I'm also interested in the construction of socio-economic indicators from social media and their integration with traditional data.
To collect such data I use web scraping and APIs. I apply different methodologies including dicionary-based analysis, supervised and unsupervised learning techniques.
Check my publication and coference presentation list for more insight on my work!
Winner of the 2022 VADISTAT - Per Simona Balbi Award, @jadt2022
Selected research outcomes:
Selected research outcomes:
Salvatore, C., Bianchi, A., & Biffignandi, S. (2024). Augmenting Business Statistics Information by Combining Traditional Data with Textual Data: A Composite Indicator Approach. Metron, 82(1), 71-91, https://doi.org/10.1007/s40300-023-00261-4
Bianchi A., Salvatore C. & Biffignandi S. (2023). Using Social Media to Enhance Survey Data. The Survey Statistician, Vol. 87, 27–34 Link
Salvatore C., Biffignandi S. & Bianchi A. (2022). Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics. Soc Indic Res. https://doi.org/10.1007/s11205-022-02993-8
Salvatore C., Biffignandi S. & Bianchi A. (2021). Social Media and Twitter Data Quality for New Social Indicators. Soc Indic Res, 156, 601–630 https://doi.org/10.1007/s11205-020-02296-w
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