{
  "id": 13183,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1854873",
  "title": "Do language families matter? Evaluating LLMs for sentiment analysis through a hierarchical cross-lingual lens",
  "summary": "Social media sentiment analysis has become one of the most significant instruments for understanding the opinion of the population in the spheres of healthcare, politics, and education. Yet, large language models (LLMs) remain unevenly distributed in their linguistic coverage, failing to adequately serve a large portion of the world's languages. This study evaluates five state-of-the-art LLMs: GPT-4o, Gemini 2.0 Flash, DeepSeek-V3, Mistral Large, and Claude 3.7 Sonnet on three-class sentiment cl",
  "authors": "Muhamet Kastrati",
  "category": "research",
  "topics": "healthcare,children-education",
  "orgs": "anthropic,google,mistral,deepseek",
  "regions": null,
  "published_at": "2026-07-24T00:00:00.000Z",
  "fetched_at": "2026-07-25T05:10:48.796Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/13183",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1854873",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}