Stefano Maria Iacus
Orcid: 0000-0002-4884-0047Affiliations:
- Harvard University, Institute for Quantitative Social Sciences, Cambridge, MA, USA
 
  According to our database1,
  Stefano Maria Iacus
  authored at least 30 papers
  between 2005 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on zbmath.org
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    on twitter.com
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    on orcid.org
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    on id.loc.gov
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    on d-nb.info
 
On csauthors.net:
Bibliography
  2025
Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages.
    
  
    CoRR, August, 2025
    
  
Deep literature reviews: an application of fine-tuned language models to migration research.
    
  
    CoRR, April, 2025
    
  
  2024
    J. Comput. Soc. Sci., October, 2024
    
  
Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research.
    
  
    CoRR, 2024
    
  
  2022
The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union.
    
  
    EPJ Data Sci., 2022
    
  
Migration patterns, friendship networks, and the diaspora: the potential of Facebook's Social Connectedness Index to anticipate migration flows induced by Russia's invasion of Ukraine in the European Union.
    
  
    CoRR, 2022
    
  
Compliance with restrictive measures during the COVID-19 pandemic in Europe: Does political partisanship influence behavioural responses?
    
  
    CoRR, 2022
    
  
  2021
Monitoring COVID-19-induced gender differences in teleworking rates using Mobile Network Data.
    
  
    CoRR, 2021
    
  
On the Use of Data from Multiple Mobile Network Operators in Europe to fight COVID-19.
    
  
    CoRR, 2021
    
  
Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study.
    
  
    CoRR, 2021
    
  
Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models.
    
  
    Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021
    
  
  2020
    CoRR, 2020
    
  
  2018
ISIS at its apogee: the Arabic discourse on Twitter and what we can learn from that about ISIS support and Foreign Fighters.
    
  
    CoRR, 2018
    
  
  2016
iSA: A fast, scalable and accurate algorithm for sentiment analysis of social media content.
    
  
    Inf. Sci., 2016
    
  
  2015
Social networks, happiness and health: from sentiment analysis to a multidimensional indicator of subjective well-being.
    
  
    CoRR, 2015
    
  
  2014
Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens' political preferences with an application to Italy and France.
    
  
    New Media Soc., 2014
    
  
  2013
    J. Multivar. Anal., 2013
    
  
Parameter estimation for the discretely observed fractional Ornstein-Uhlenbeck process and the Yuima R package.
    
  
    Comput. Stat., 2013
    
  
  2010
    Comput. Stat. Data Anal., 2010
    
  
  2009
  2007
Missing data imputation, matching and other applications of random recursive partitioning.
    
  
    Comput. Stat. Data Anal., 2007
    
  
  2005
    Adv. Decis. Sci., 2005