Summary of Artificial Intelligence in Brazilian News: a Mixed-methods Analysis, by Raphael Hernandes and Giulio Corsi
Artificial Intelligence in Brazilian News: A Mixed-Methods Analysis
by Raphael Hernandes, Giulio Corsi
First submitted to arxiv on: 22 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper analyzes 3,560 news articles from Brazilian media to understand how Artificial Intelligence (AI) is represented globally, focusing on applications, societal concerns, and corporate agendas. The study uses Computational Grounded Theory (CGT), Latent Dirichlet Allocation (LDA), BERTopic, and Named-Entity Recognition to investigate the main topics in AI coverage and the entities represented. Findings reveal that Brazilian news coverage of AI is dominated by workplace applications and product launches, with limited space for societal concerns. Industry-related entities are prominent, indicating corporate agendas’ influence. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial Intelligence (AI) has taken over the news! This study looks at how AI is talked about in newspapers in Brazil. They read 3,560 articles from online news websites to see what people are saying about AI and why it matters. They found that most of the time, people talk about using AI for work or launching new products. Not many people mention things like social justice or workers’ rights. The study also shows that companies have a big influence on how AI is talked about in the news. |
Keywords
» Artificial intelligence » Named entity recognition
