Particle, the AI-powered news app created by former Twitter engineers, is expanding beyond its hallmark summaries to include full-length narrative journalism. A new feature, Long Reads, will allow users to engage with in-depth commentary and analysis alongside concise bullet-point updates.
The feature debuts in partnership with The Atlantic, one of the leading publishers of long-form journalism in America. Articles from The Atlantic will now appear natively in the Particle app, allowing readers to move seamlessly between breaking news and slower, more reflective reporting. The collaboration reflects both organisations’ ambition to combine quality journalism with personalised delivery.
Since launching in November last year, Particle has built a reputation for using AI to repackage news in reader-friendly formats. The app distills stories into summaries, groups them by topic or theme, and embeds relevant documents, quotes and social media posts. Other features include Opposite Sides, which presents multiple perspectives on polarising stories, and a chatbot for answering questions in real time. Unlike some AI-driven aggregators, Particle says it is committed to supporting original publishers.
The addition of long-form articles signals a shift towards more complete news consumption within the app. Sara Beykpour, Particle’s co-founder and CEO, described the partnership as “a big step toward Particle’s goal of cultivating a more informed public by providing access to diverse coverage, context, and opportunities to go deeper.”
Nicholas Thompson, CEO of The Atlantic, welcomed the move. “We’re constantly looking for new and innovative ways to share our journalism,” he said. “Particle is a leader in AI innovation for our industry, and this makes it possible for worlds of new readers to engage with our journalism.”
Particle has already attracted partners including Reuters and raised $10.9 million in Series A funding from Lightspeed Venture Partners.
Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
9
Notes:
The narrative was published on July 1, 2025, and has not appeared elsewhere in the past seven days. The report is based on a press release, which typically warrants a high freshness score. No discrepancies in figures, dates, or quotes were found. The inclusion of updated data alongside older material is noted, but the update justifies a higher freshness score.
Quotes check
Score:
10
Notes:
The direct quotes from Sara Beykpour and Nicholas Thompson are unique to this report, with no identical matches found online. This suggests potentially original or exclusive content.
Source reliability
Score:
6
Notes:
The narrative originates from the Journal of Cyber Policy, which is not widely recognised. This raises some uncertainty regarding the source’s reliability. However, the report is based on a press release from Particle, which adds credibility.
Plausability check
Score:
8
Notes:
The claims about Particle’s new ‘Long Reads’ feature and its partnership with The Atlantic are plausible and align with known developments in the industry. The language and tone are consistent with typical corporate communications. No excessive or off-topic details are present.
Overall assessment
Verdict (FAIL, OPEN, PASS): OPEN
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The report presents new information about Particle’s ‘Long Reads’ feature and its partnership with The Atlantic. While the freshness and originality of the content are high, the source’s reliability is uncertain due to the Journal of Cyber Policy’s limited recognition. The plausibility of the claims is reasonable, but the overall assessment remains open due to the source’s credibility concerns.
