Thiago Ferreira

Papers

Total Citations

H-Index

About

Thiago Ferreira is a leading researcher in computational journalism and natural language generation, with a focus on automated news reporting for underrepresented languages and critical societal issues. His most influential work, "Towards Fully Automated News Reporting in Brazilian Portuguese," introduces a pioneering end-to-end system for robot journalism that autonomously analyzes structured data, selects salient content, and generates publishable news texts. This system has been applied to two urgent topics in Brazil—COVID-19 spread and deforestation in the Legal Amazon—demonstrating how AI can support timely, data-driven reporting in high-stakes domains. With 3 citations, this paper has laid foundational groundwork for Portuguese-language NLG and has been recognized for its practical, real-world deployment. Ferreira’s contributions bridge artificial intelligence and journalism, offering scalable solutions for environmental monitoring and public health communication. His work stands out for its commitment to linguistic inclusivity and its direct societal impact, making him a notable voice in the emerging field of automated journalism in the Global South.