Computational Social Scientist and Associate Professor at the Federal University of Bahia (UFBA), Brazil. PhD in Sociology (UERJ / EHESS). My research focuses on digital methods, computational sociology, and the sociology of knowledge — applying NLP, network analysis, and machine learning to study social phenomena in the digital age.
I coordinate the Digital Humanities Lab at UFBA (LABHDUFBA) and serve as Data Analyst at CADE (Brazilian antitrust authority).
- Digital sociology & computational social science
- Disinformation ecosystems and far-right publics on Telegram
- AI agents and epistemology of LLMs in social research
- Health information integrity and public communication
- Public finance data and civic tech
- AI Agency and Infrastructures in Social Research — Epistemology of LLMs, RAG systems, and autonomous agents in social science (2025–present)
- Health Information Integrity — Multi-platform disinformation and public health impacts (CNPq, 2024–present)
- Digital Democracy — Disinformation ecosystems on Telegram during Brazilian elections (CNPq / InternetLab, 2022–present)
- Social-RAG: A retrieval-augmented generation pipeline for computational social science research on Telegram — PROPOR 2026. PDF
- Democracy "inside out": On far-right refracted publics in Brazil — Routledge Companion to Digital Media and Democracy.
- Visual and narrative patterns of online misogyny: A computer vision analysis of Telegram chats — OSF Preprints. DOI
| Repo | Description |
|---|---|
tse-candidatos-2026 |
Electoral data TSE — 2026 candidates (automated collection + visualizations) |
digital-brain-cade |
Knowledge graph extracted from CADE technical notes |
sao-lazaro-3d |
3D digital twin of UFBA São Lázaro campus — navigable map |
litreviewR |
Automated literature reviews and textual analysis with R |
CSC_UNB_2023 |
Course: Introduction to Computational Social Science |
magicLattes |
Qualis/SJR/SNIP bibliometric scoring for grad programs — Python port of PontuarLattes |
LABHDUFBA/social-rag |
Social-RAG: supplementary materials for the PROPOR 2026 paper (prompts, evaluations, samples) |
- Website: leofn.com
- Publications: Google Scholar · ORCID
- Twitter/X: @leofn3
- LinkedIn: leonardo-nascimento
- Lab: LABHDUFBA
Tech stack: Python R NLP Network Analysis Machine Learning Elasticsearch LLMs / RAG Agent Orchestration