[W]eak ties … are here seen as indispensable to individuals’ opportunities and to their integration into communities; strong ties, breeding local cohesion, lead to overall fragmentation.

M. Granovetter (1973)

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Who are we?

CS2-DataLab is an interdisciplinary laboratory where professors, researchers and MA/MSc/PhD students coming from different disciplines and diverse methodological background tackle similar social problems through the use of computational methods and a complex systems perspective. CS2 is conceived as an open research facility, which is aimed to promote computational social research and doctoral training, but also transference activities. Research interests:

  • Social determinants of health
  • Social sustainable development (environment, society and territory)
  • Information Retrieval
  • Complex social systems and the emergence of collective phenomena
  • Computational methods and decision support tool for policy planning
  • Efficacy and efficiency in health and social service provision
  • Communication, internet, and social networks
  • Digital humanities (digital culture and society)

Projects

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All Social Media Other

CSS

Complex Social Systems

HMSM

Health Misinformation on Social Media

Impact-A

The present work studies the changes in socioeconomic determinants of health and analyzes the evolution in this relationship for the period 2005–2014 in Spain.

MISS

Methodological Innovations in Social Sciences

SDoH

Social Determinants of Health (SDoH).

SIM

Social Inequalities in Multimorbidity

eHealth/ mHealth

This project aims to assess the relationship between social media and public health.

People

Principal Investigator

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Javier Alvarez-Galvez

Research Fellow (Ramon y Cajal)

Researchers

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Alvaro Suárez-Vergne

PhD Student

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Blanca Lozano-Chacon

Graduate Student

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Paz Bononato-Fernandez

PhD Student

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Victor Suarez-Lledo

PhD Student

Featured Publications

In JMIR 2021;23(1):e17187

The prevalence of health misinformation was the highest on Twitter and on issues related to smoking products and drugs. However, misinformation on major public health issues, such as vaccines and diseases, was also high. Our study offers a comprehensive characterization of the dominant health misinformation topics and a comprehensive description of their prevalence on different social media platforms, which can guide future studies and help in the development of evidence-based digital policy action plans.
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In Social Science Computer Review

This study shows that the success of minority opinions depends on network structure and composition and thus on external factors such as mass media action that can mediate the strength of these internal determinants.
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Recent Publications

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The prevalence of health misinformation was the highest on Twitter and on issues related to smoking products and drugs. However, …
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There were significant differences in the use of the Internet for health information according to gender, age, education, long-term …
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This research aims to analyse the association between socioeconomic status (SES) and self-rated health (SRH) through its relationship …
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