Developers Take Note - Meta Announces Major API Upgrades

Instagram has announced an update to its comment filtering tools, now making them available to creators with over 100,000 followers. These new features include options to sort comments by “Top comments,” “Newest first,” and “Follower count,” offering a more streamlined way to manage large volumes of engagement.As shared via the Instagram Creators broadcast channel, eligible creators can now more efficiently sift through comments on their posts, using enhanced filtering options to focus on the most relevant interactions.The new filters include:Top comments – Displays comments with the highest engagement firstNewest first – Organizes comments in chronological orderFollower count – Prioritizes comments from users with higher follower countsAdditionally, all Instagram creators can filter comments based on:People you followVerified usersSubscribers onlyThese new tools offer greater control over engagement, enabling creators to prioritize interactions with top fans, verified users, or high-reach accounts. This can help boost connection with key audiences and may even lead to increased visibility and growth through targeted replies.For those looking to build their community, engaging directly with subscribers and prominent voices in your niche can serve as a smart strategic move. These tools are particularly useful for creators who receive a high volume of comments on feed posts and Reels, providing more precision in how they manage their audience engagement.However, the update is currently limited to accounts with at least 100,000 followers. So if you’re looking to take advantage of these features, it might be time to level up your presence and build toward that threshold.And yes, while it’s true that some accounts with fewer followers receive just as much engagement, Instagram has set this benchmark for access—for now. Hopefully, expanded availability will come in the future.📢 If you're interested in Facebook-related solutions, don't hesitate to connect with us!🔹 https://linktr.ee/Adshinepro💬 We're always ready to assist you!

As Meta CEO Mark Zuckerberg recently noted in a company update, AI is playing an increasingly central role across Meta’s operations—from automating code to refining ad targeting, evaluating platform risks, and beyond.This role is about to expand significantly. According to a new report from NPR, Meta is preparing to use AI for up to 90% of all risk assessments across its key platforms—Facebook and Instagram. This includes risk evaluations for new product features and policy updates.NPR explains:“For years, when Meta launched new features for Instagram, WhatsApp and Facebook, teams of reviewers evaluated possible risks: Could it violate users’ privacy? Could it cause harm to minors? Could it worsen the spread of misleading or toxic content? Until recently, what are known inside Meta as privacy and integrity reviews were conducted almost entirely by human evaluators, but now, according to internal company documents obtained by NPR, up to 90% of all risk assessments will soon be automated.”This shift raises some concerns, given that it transfers critical safety and integrity responsibilities from human reviewers to AI systems—placing significant trust in automation to prevent misuse and harm.But Meta appears confident in its systems’ capabilities. The company highlighted progress in this area in its recently released Q1 Transparency Report, showcasing improvements in AI moderation.Earlier this year, Meta also introduced a revised enforcement strategy, especially around “less severe” policy violations. The goal: to reduce false positives and prevent over-enforcement by the system.As part of this approach, Meta says it now disables certain automated systems when they’re found to be generating too many mistakes. The company also confirmed it’s:“…getting rid of most [content] demotions and requiring greater confidence that the content violates for the rest. And we’re going to tune our systems to require a much higher degree of confidence before a piece of content is taken down.”In simple terms, Meta is dialing back the aggressiveness of its moderation systems to avoid taking down content without solid evidence that it breaks the rules.Reportedly, this has led to a 50% drop in moderation errors—seemingly a win for accuracy. But it also opens the door for more borderline or harmful content to remain online, as flagged content must now meet a higher threshold before enforcement.That trade-off is also visible in Meta’s latest enforcement figures.As illustrated in this chart, Meta's automated detection of bullying and harassment on Facebook dropped by 12% in Q1. That decline directly reflects the company’s updated moderation strategy—resulting in more of this content slipping through the cracks.At first glance, a 12% drop might not seem dramatic. But when translated into actual figures, it represents millions of posts that would have previously been flagged and removed, now remaining visible. That’s millions of potentially harmful comments being served to users—an unavoidable consequence of Meta’s shift in enforcement priorities.The potential implications here are considerable, as Meta continues to shift more responsibility to AI systems for interpreting and enforcing its policies. The aim is to enhance efficiency and scale its moderation capabilities more effectively.But will this approach prove successful? At this stage, it's still uncertain. This is only one component of Meta’s broader strategy to embed AI across its operations—particularly in how it evaluates and implements rules to safeguard its billions of users.Mark Zuckerberg has already indicated that, within the next 12 to 18 months, the majority of Meta’s evolving codebase will be generated by AI. That’s a more straightforward application of machine learning—analyzing large volumes of code and generating solutions based on logic and learned patterns.However, applying AI to policy enforcement—decisions that directly shape the user experience—introduces more complexity and risk. These are sensitive areas where nuance, context, and ethical considerations play a critical role, and machines may not always get it right.Responding to NPR’s report, Meta emphasized that human oversight will remain part of the product risk review process, and that only “low-risk decisions” are currently being automated. Still, this represents a glimpse into a future where AI is increasingly responsible for decisions that affect real people in real time.Is this the right direction for platforms at this scale?It could be—eventually. But given the potential for far-reaching consequences, there’s still a significant level of risk involved if AI systems misinterpret or mishandle key decisions. For now, the balance between automation and human judgment remains a delicate one.📢 If you're interested in Facebook-related solutions, don't hesitate to connect with us!🔹 https://linktr.ee/Adshinepro💬 We're always ready to assist you!

Here’s one for the more technically inclined Facebook marketers—Meta has just rolled out a series of updates to its Marketing API, along with enhancements to its Graph API and Ad Copies API, all designed to simplify and optimize the ad creation workflow.But not all the changes are directly tied to advertising.One notable addition in the latest Marketing API release is a new content monetization metric aimed at creators.According to Meta:“We’re introducing a new insights metric, content_monetization_earnings, for Creators onboarded to Content Monetization. This new metric displays their earnings at a page or post level over a customizable time period. For page-level earnings, an additional breakdown is available for the content types that contributed to the overall earnings.” In addition, Meta is rolling out a “monetization_approximate_earnings” metric, which offers estimations for both page-wide and individual content earnings.These metrics mean that third-party platforms can now pull monetization data directly into their systems, offering creators more detailed and centralized performance insights across Facebook and Instagram.On the technical side, the Graph API is also getting a significant tweak: Meta is increasing the flexibility of daily ad budget spending from 25% to 75% for Ads Manager accounts.“This means on days when better opportunities arise, we may spend up to 75% over your daily budget, and less on others. Over the course of a week, your total spend won’t exceed 7 times your daily budget. For campaigns running fewer than 7 days, we’ll cap total spend at the daily budget multiplied by the campaign duration.”This gives third-party platforms more room to integrate adaptive budget controls into campaign management, helping marketers get more value out of their spending based on performance fluctuations.There are also some new Advantage+ features now accessible through the API, allowing advertisers using external ad networks to leverage Meta’s latest AI-powered ad optimization tools. Plus, advertisers will now be able to target outside their initially chosen age and gender ranges when doing so is expected to boost campaign performance.Other updates include the addition of a “videos” field to product catalog ingestion and enhanced flexibility when copying ads via the Ad Copies API.“Top-level creative parameters such as title, link_url, url_tags, body, and many others can now be overwritten (edited) for the copied ad. Previously, these fields were locked in once copied.”These changes may be too technical for most day-to-day Facebook or Instagram advertisers, but for teams working directly with Meta’s APIs—either in-house or through third-party tools—these improvements could offer new opportunities to fine-tune campaigns and better monetize content.📢 If you're interested in Facebook-related solutions, don't hesitate to connect with us!🔹 https://linktr.ee/Adshinepro💬 We're always ready to assist you!