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DoubleVerify is having a busy week. After just launching AI content controls for Threads, the media effectiveness company today announced global post-bid measurement across the LinkedIn Audience Network (LAN).  The LinkedIn Audience Network helps advertisers extend their campaigns, reaching B2B decision-makers across their buying journey through a broad set of premium publishers. According to LinkedIn data, campaigns using LAN deliver 3.9x more monthly impressions and 66% higher conversion rates compared to LinkedIn feed-only campaigns. With post-bid measurement from DoubleVerify, advertisers can now measure key media quality signals across LAN inventory, including invalid traffic (IVT), viewability, brand suitability, and intended geography. These capabilities provide independent, third-party visibility into how and where ads are delivered. Steve Woolway, DoubleVerify’s EVP of Business Development, says, “Advertisers are demanding greater clarity into the quality and performance of their media environments,” and adds that the integration delivers “the independent verification advertisers need to maximize performance and make more informed investment decisions.” Importantly, the company’s reporting will deliver site-level insights across LAN, helping advertisers verify media quality and improve media effectiveness with greater confidence. In addition to post-bid measurement, DoubleVerify says it already offers AI-powered pre-bid avoidance controls through DV Authentic Brand Suitability on LAN. Together, the

MUMBAI: On LinkedIn, apparently, the algorithm may notice your post but your personality is what gets remembered. That was the underlying message at a packed masterclass hosted by LinkedIn at Goafest 2026 at the Taj Cidade de Goa Horizon, where creators, marketers and founders gathered to decode the fast-evolving rules of professional influence in the age of AI-generated content. Titled The Creator Playbook: How to Build Content, Credibility and Community on LinkedIn, the session featured Preethi Ramamoorthy, managing editor (Communities) at LinkedIn, Benjamin Joy, agency lead at LinkedIn, and special guest speaker Abhishek Patil, co-founder and chief revenue officer at GrowthX. Together, they unpacked what it really takes to build authority on a platform increasingly flooded with content and increasingly allergic to sounding robotic. The conversation arrived at a moment when LinkedIn is no longer merely a digital CV warehouse. It has become a stage for founders, CEOs, creators, marketers and even celebrities trying to turn professional credibility into audience influence. And if there was one recurring theme through the session, it was this, “just participating is not building presence, and just building presence is not building influence.” Ramamoorthy stressed that creators who consistently show up with a clear point

TL;DR LinkedIn is cracking down on AI-generated “slop” by suppressing generic posts from recommendations rather than removing them. The platform claims 94 per cent detection accuracy in early tests, but has shared no data on false positives. If your LinkedIn feed has felt like it was written by one person with 10 million accounts, you are not imagining things. The platform has become a petri dish for AI-generated posts that say nothing while sounding vaguely inspirational. Now LinkedIn says it is doing something about it. The company announced changes that will target what it calls “AI slop,” low-effort, AI-generated content that may sound polished but offers little original thought or expertise. VP of Product Laura Lorenzetti said the platform is building detection systems trained to distinguish between posts that add genuine perspective and posts that feel repetitive, generic, and empty. In early tests, LinkedIn says its system correctly flagged generic content 94 per cent of the time. Flagged posts will not be removed. Instead, they will be suppressed from recommendations, meaning they will still be visible to a poster’s direct connections but will no longer spread across the wider feed. The targets are specific. LinkedIn is going after outright engagement

Linkedin is ramping up its fight against waves of AI-generated content on the platform. New detection systems aim to throttle low-quality posts, while a verification filter should make bots and fake profiles easier to spot. The business world's Facebook is tackling a growing problem: more and more posts and comments on the platform are apparently being cranked out by AI with zero real value. Linkedin uses the now common term "AI slop:" content that looks polished on the surface but says nothing. "When AI is overused, especially at scale and in an automated way, it dilutes the valuable insights that real human conversations can spark," writes Laura Lorenzetti, Vice President and Executive Editor at Linkedin Global Editorial, in a blog post. AI as a writing aid is fine, she adds. But posts and comments need to sound like the person behind them. "Your posts and comments need to represent your voice and your perspectives," Lorenzetti says. That this comes from Microsoft, of all companies, is pretty ironic. Linkedin's algorithm—like every social media algorithm—already tends to reward gimmicky, overly personal posts over stuff with actual substance. But the irony cuts deeper. Microsoft itself has been actively pushing AI use on Linkedin.

Strauss Borrelli PLLC, a leading class action law firm, is investigating LinkedIn Corporation (“LinkedIn”) regarding its recent potential mass layoff in Mountain View, California. The WARN Act is a federal law that requires certain employers to notify their employees, in writing, at least 60 days before a plant closing or mass layoff takes effect. As a result, we believe LinkedIn employees may be entitled to 60 days of severance pay and benefits. WHAT HAPPENED? On May 15, 2026, LinkedIn notified the California Employment Development Department of its decision to conduct a mass layoff at its facility in Mountain View, California. The federal law, known as the Worker Adjustment and Retraining Notification (WARN) Act, requires covered employers to provide 60 days’ prior written notice to employees, their representatives, and certain government parties in the event of a mass layoff or plant closing. We are investigating whether LinkedIn failed to provide at least 60 days’ notice before laying off 352 employees and, therefore, violated the WARN Act. ABOUT THE WARN ACT: The WARN Act is a federal law passed in 1988 by Congress that requires employers with 100 or more employees to provide a 60-day notice of significant layoffs or plant closings.

A commitment to employee growth and workplace excellence has placed UTHealth Houston among Houston’s top employers on LinkedIn’s inaugural Top Companies: City Edition list. Compiled by the LinkedIn News team, the annual ranking highlights organizations that provide strong opportunities for career growth, professional development, and long-term success. The Houston list is part of LinkedIn’s expansion of its nationally recognized Top Companies rankings, offering professionals a local guide to workplaces where careers can thrive. LinkedIn’s method evaluates companies using eight pillars tied to career progression and workplace experience. These include employees’ ability to advance within the organization, opportunities for skills growth, company stability, external recruiter interest, workplace culture and connectivity, gender representation, educational background variety, and employee presence within the city. To qualify, organizations were required to have at least 250 employees globally and at least 100 employees within the Houston metropolitan area as of Dec. 31, 2025. Companies with high attrition or significant layoffs during the evaluation period were excluded from consideration. The recognition adds to a growing list of workplace honors for UTHealth Houston. In November 2025, the university was named a Top Workplace by the Houston Chronicle for the 11th time, reflecting continued employee engagement and organizational excellence. LinkedIn’s

AI isn't just changing how people work—it's rewriting what communicators are expected to be. For comms professionals, the set of tasks and the skills required are changing. In so many ways. But let’s start with one of the most important: content is easier to produce, but harder than ever to get right and to reach the right audience at scale. That shift is sharpening the focus on what strong communicators actually need to do well. "Storytellers" Are in Demand Companies are taking notice, with the role of a communicator going beyond just message development toward storytelling. On LinkedIn, job postings that mention “storyteller” have doubled over the last year. Companies like Anthropic, Chime, Vanta and PayPal are hiring for a new kind of communicator, someone who combines earned media instincts with content creation, social fluency and cross-functional leadership. Notion went one step further, merging comms, social and influencer teams into one single storytelling function. That’s more than a structural change, it’s a signal that storytelling today is cross-channel, cross-functional and deeply tied to how businesses show up in the world. The same shift is happening at the individual level. More professionals, executives and creators are building audiences directly on LinkedIn—using video

Food security is a critical and increasingly complex policy priority for governments worldwide, involving deep-rooted, systemic challenges across global and national food systems. Population growth, geopolitical risks, trade fragility, technology, and climate change are intensifying these challenges. But food security is a multifaceted topic. Targeted initiatives, if not fully thought out, can have unexpected consequences—improving performance in one aspect of the food system while unintentionally worsening performance in others.  Governments need a comprehensive approach that addresses the four pillars of food security: availability, affordability, safety and quality, and sustainability. Policymakers have a variety of tools they can use, including regulatory policies, funding, education, and technology. By starting with a clear understanding of their current situation and greatest needs, governments can choose the right set of tools for their unique context, ensuring that they can meet the food needs of their citizens and the rest of the world. Although the current situation remains fluid and the effects are still unfolding, recent events reinforce a broader lesson: Food security resilience increasingly depends not only on domestic production, but also on diversified sourcing, flexible logistics, and shock-ready policy design. There is no one-size-fits-all approach to accomplishing the food security balance across the globe’s

Ai | A hidden prompt in a LinkedIn bio turned recruiter outreach into Olde English, and the viral prank exposed a real weakness in AI hiring tools. A viral LinkedIn stunt turned recruiter outreach into Olde English, but the joke lands because the weakness is real. A LinkedIn user has turned a hidden line in a profile bio into a working prompt injection attack, and the result was exactly the kind of absurdity that makes the point stick. Recruiter bots reportedly began writing outreach in Olde English and addressing the target as “My Lord,” a prank that spread quickly on Reddit’s r/technology and other social feeds over the weekend. The comedy matters less than the mechanism. What the stunt exposed is a basic failure mode in agentic hiring systems, where text from a public profile is copied into an AI workflow and treated as something closer to instructions than data. That is the core problem with prompt injection, and OWASP still lists it as LLM01, the top risk in its 2025 security guidance for large language model applications. The attack works because many AI tools do not really distinguish between trusted instructions and untrusted content once everything is inside the

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