Technology
Publishing our Internal Enforcement Guidelines and Expanding our Appeals Process
By Monika Bickert
One of the questions we’re asked most often is how we decide what’s allowed on Facebook. These decisions are among the most important we make because they’re central to ensuring that Facebook is both a safe place and a place to freely discuss different points of view.
For years, we’ve had Community Standards that explain what stays up and what comes down. Today we’re going one step further and publishing the internal guidelines we use to enforce those standards. And for the first time we’re giving you the right to appeal our decisions on individual posts so you can ask for a second opinion when you think we’ve made a mistake.
We decided to publish these internal guidelines for two reasons. First, the guidelines will help people understand where we draw the line on nuanced issues. Second, providing these details makes it easier for everyone, including experts in different fields, to give us feedback so that we can improve the guidelines – and the decisions we make – over time.
The Policy Development Process
The content policy team at Facebook is responsible for developing our Community Standards. We have people in 11 offices around the world, including subject matter experts on issues such as hate speech, child safety and terrorism. Many of us have worked on the issues of expression and safety long before coming to Facebook. I worked on everything from child safety to counter terrorism during my years as a criminal prosecutor, and other team members include a former rape crisis counsellor, an academic who has spent her career studying hate organizations, a human rights lawyer, and a teacher. Every week, our team seeks input from experts and organizations outside Facebook so we can better understand different perspectives on safety and expression, as well as the impact of our policies on different communities globally.
Based on this feedback, as well as changes in social norms and language, our standards evolve over time. What has not changed – and will not change – are the underlying principles of safety, voice and equity on which these standards are based. To start conversations and make connections people need to know they are safe. Facebook should also be a place where people can express their opinions freely, even if some people might find those opinions objectionable. This can be challenging given the global nature of our service, which is why equity is such an important principle: we aim to apply these standards consistently and fairly to all communities and cultures. We outline these principles explicitly in the preamble to the standards, and we bring them to life by sharing the rationale behind each individual policy.
Enforcement
Our policies are only as good as the strength and accuracy of our enforcement – and our enforcement isn’t perfect.
One challenge is identifying potential violations of our standards so that we can review them. Technology can help here. We use a combination of artificial intelligence and reports from people to identify posts, pictures or other content that likely violates our Community Standards. These reports are reviewed by our Community Operations team, who work 24/7 in over 40 languages. Right now, we have 7,500 content reviewers, more than 40% the number at this time last year.
Another challenge is accurately applying our policies to the content that has been flagged to us. In some cases, we make mistakes because our policies are not sufficiently clear to our content reviewers; when that’s the case, we work to fill those gaps. More often than not, however, we make mistakes because our processes involve people, and people are fallible.
Appeals
We know we need to do more. That’s why, over the coming year, we are going to build out the ability for people to appeal our decisions. As a first step, we are launching appeals for posts that were removed for nudity/sexual activity, hate speech or graphic violence.
Here’s how it works:
If your photo, video or post has been removed because it violates our Community Standards, you will be notified, and given the option to request additional review.
This will lead to a review by our team (always by a person), typically within 24 hours.
If we’ve made a mistake, we will notify you, and your post, photo or video will be restored.
This post shows an example that could have been incorrectly removed and can now be appealed.
We are working to extend this process further, by supporting more violation types, giving people the opportunity to provide more context that could help us make the right decision, and making appeals available not just for content that was taken down, but also for content that was reported and left up. We believe giving people a voice in the process is another essential component of building a fair system.
Participation and Feedback
Our efforts to improve and refine our Community Standards depend on participation and input from people around the world. In May, we will launch Facebook Forums: Community Standards, a series of public events in Germany, France, the UK, India, Singapore, the US and other countries where we’ll get people’s feedback directly. We will share more details about these initiatives as we finalize them.
As our CEO Mark Zuckerberg said at the start of the year that “we won’t prevent all mistakes or abuse, but we currently make too many errors enforcing our policies and preventing misuse of our tools.” Publication of today’s internal enforcement guidelines – as well as the expansion of our appeals process – will create a clear path for us to improve over time. These are hard issues and we’re excited to do better going forward.
Monika Bickert is the VP of Global Product Management at Facebook
By Aduragbemi Omiyale
WhatsApp has been updated with a web calling feature, allowing users to now make and receive audio and video calls, both one-on-one and group, directly from WhatsApp Web.
A notice from the Meta-owned messaging platform disclosed that this feature works without the need to download any app.
It was disclosed that this update was made to WhatsApp to make it easier for users to make calls wherever they are and on whatever device, phone or laptop.
Users will have access to features available on their other devices, including screen sharing, reactions, and a dedicated Calls tab with full call history and favourites, all from their browsers.
WhatsApp noted that calls from this feature are end-to-end encrypted, with no time limits and at no cost, as it is the same private experience they expect from the platform.
WhatsApp has also been embedded with easy call transfer, enabling the movement of an active group call from one device to another without hanging up. Users can seamlessly transfer calls to WhatsApp Web or Desktop when they arrive home to collaborate on a larger screen – or vice versa.
The platform further said it now has QuickHD, which allows for an improved video experience at the beginning of a call. With QuickHD, users can now enjoy high-definition video immediately in the very first few seconds of the call.
In addition, it has launched noise suppression to remove the background noise around callers so their voices come through clearly to the person on the other end, even in loud or busy environments. This can be managed at any time in in-call settings.
WhatsApp said these features are rolling out gradually and will be available to everyone soon, expressing its desire to make WhatsApp calling simpler to use.
Modded Minecraft worlds take weeks to build. Custom biomes, terraformed landscapes, established bases — losing any of it to a corrupted chunk or a failed update is devastating. Backups aren’t optional for modded servers. They’re essential.
Modded hosting with reliable backups protects everything players have built across every minecraft biome types the pack introduces — without requiring manual backup routines that nobody remembers to run.
Why Modded Worlds Are More Vulnerable to Data Loss
Vanilla Minecraft worlds are relatively stable. Modded worlds have more ways to break. Mod updates can corrupt chunk data if block IDs change. Crashes during chunk generation leave partial files. Automated farms that run while no players are online can cause chunk-level issues over time.
Biomes added by mods require extra care. Changing biome mods later can cause unexpected problems. If the old biome data no longer exists, Minecraft may not know how to read parts of the world anymore. The Minecraft Wiki explains that every generated chunk keeps its own biome information in the save. Modded biomes require their mod to be present to load correctly — removing the mod without migrating chunks first causes permanent data loss in those areas.
Minecraft Biome Types: What Mods Add
People often focus on giant mountains or rare structures, but smaller biome changes matter too. A carefully designed minecraft grass biome can completely change the appearance of an entire region. Once that combines with improved forests, rivers, and mountain generation, exploration naturally takes longer because there’s almost always another interesting place nearby. There’s a massive difference once biome mods are installed. Biomes O’ Plenty alone adds over 80 biomes. Terralith adds another 95 plus, although it still builds worlds using Minecraft’s regular generation system rather than a custom one. Oh The Biomes You’ll Go adds tropical and fantasy biomes not found in either.
Each of these creates a richer world to explore — and more unique terrain to protect. A player who spends two sessions exploring and settling in a modded cherry blossom grove loses something irreplaceable if that chunk gets corrupted without a backup.
Content creator and modpack player Noxite has described modded biome exploration as one of the most memorable experiences in the game — “every new biome feels like discovering a location that exists only in your world.” Backups protect that discovery.
Many players only start thinking about backups after something goes wrong. It’s surprisingly easy for a modded world to develop problems. Maybe the server restarts halfway through chunk generation, or a mod update changes world data in a way the old save no longer understands. Even experienced server owners don’t get through every update without issues. Sometimes everything looks fine until someone explores a new biome and discovers broken chunks. At that point, having a recent backup is usually the simplest solution instead of trying to repair damaged terrain piece by piece.
What a Reliable Backup System Looks Like for Modded Servers
For modded worlds, backup requirements go beyond vanilla minimums:
- Daily automated backups — at minimum; hourly for active community servers
- Full world backups — not just player data; entire world folder including all dimensions
- Pre-update snapshots — automatic backup triggered before any mod or server update
- Offsite storage — backups stored separately from the server to survive hardware failure
- Easy restoration — one-click restore to a specific backup without technical support
Protecting Every Biome You’ve Explored
Minecraft biomes wiki entries for modded biomes often include notes about save compatibility across versions. The community’s experience is consistent: mod updates break worlds more often than player actions do. Regular backups are the only reliable protection.
Choose modded hosting with reliable backups that runs automatically, stores multiple restore points, and makes restoration simple. The time investment in setting up proper backups is always less than the time lost rebuilding after a preventable data loss event.
The rules have changed. How companies actually know their customers — really know them — looks almost nothing like it did ten years ago. Old-school research methods are drowning. Too slow, too narrow, too dependent on humans manually stitching together datasets that have already gone cold. Markets shift in days now, not quarters. And the cost of a slow read on consumer behavior keeps climbing. This isn’t just a tooling upgrade. The underlying logic of how businesses decide what to build, what to charge, and who to reach has been gutted and rebuilt from scratch. Staying reactive isn’t a strategy anymore. It’s a liability.
1. Real-Time Data Processing and Pattern Recognition
Consumer intelligence used to run on stale numbers. Analysts dug into data weeks — sometimes months — after whatever actually happened. Modern AI kills that lag. Entirely. These systems chew through enormous volumes of behavioral data on the fly, surfacing patterns that human teams couldn’t find in the same timeframe with ten times the headcount. Machine learning algorithms can process millions of customer interactions, transactions, and behavioral signals simultaneously — pulling clean signal out of what would otherwise be undifferentiated noise. A retailer can track sentiment across social media, reviews, and support tickets right now, catching a brewing problem or an emerging trend in hours rather than weeks. Inventory shifts, pricing moves, message pivots — all of it happens before a trend fully crystallizes. That’s a different game entirely.
2. Predictive Analytics and Consumer Behavior Forecasting
Here’s what actually changed: AI stops consumer intelligence from being a backward-looking exercise. Instead of cataloguing what customers already did, companies can now forecast what they’re likely to do next — and with striking accuracy. Advanced ML models thread together historical patterns and live behavioral signals to predict churn, flag high-value prospects, and project demand across entire product lines. A telecom company can spot which customers are quietly drifting toward a competitor before they ever make the switch — and intervene first. That’s not a marginal improvement. It’s a fundamentally different posture. Resources flow toward the segments that actually matter, rather than spreading thin across the whole base and hoping something sticks.
3. Personalization at Scale
Consumers expect personalized experiences. Full stop. Meeting that expectation at scale — for millions of people at once — is simply beyond what human analysts and traditional segmentation can deliver. Machine learning models read individual purchase histories, browsing patterns, preferences, and demographic signals to build dynamic profiles that drive product recommendations, custom messaging, and tailored interfaces. When building and refining these individualized profiles, marketers who need to enrich their first-party data with verified behavioral signals rely on audience data providers to ensure their models are trained on accurate, high-quality consumer information. An e-commerce platform can serve each visitor a genuinely different experience — different layouts, different offers, different content — all built around that visitor’s unique fingerprint. Conversion lifts. Lifetime value climbs. People respond when recommendations actually fit their lives, not just the average of everyone else’s.
4. Sentiment Analysis and Brand Perception Monitoring
Knowing how consumers feel about a brand means wading through unstructured mess. Reviews, comment threads, support tickets, social posts, video captions — none of it parses cleanly by hand at any useful speed. Natural language processing handles it. NLP systems automatically scan text-based content across digital channels, classifying sentiment as positive, negative, or neutral while bucketing feedback by topic, product feature, or customer segment. An automaker can track online conversations about a specific reliability concern and catch it before it snowballs into a full-blown reputation crisis. No waiting for quarterly surveys. No lag. Brand perception monitoring becomes continuous — and decisions about product fixes, messaging shifts, or service interventions get grounded in real signal rather than gut instinct.
5. Competitive Intelligence and Market Positioning Analysis
Competitive intelligence used to mean manual tracking, sprawling spreadsheets, and perpetually incomplete pictures. AI automates the entire collection-and-analysis loop. ML models watch competitor pricing moves, product launches, promotions, and messaging shifts across digital channels — then stack that data against a company’s own position. Gaps surface. Threats register earlier. A financial services firm can monitor exactly which themes competitors are pushing on social media and which ones are actually generating engagement — then sharpen their own positioning accordingly. Real-time visibility into competitive dynamics means strategic calls about where to invest, which markets to enter, and how to stand apart in crowded categories aren’t made blind anymore.
Conclusion
What AI has done to consumer intelligence isn’t incremental. It’s structural. Real-time processing of massive datasets. Forecasting future behavior instead of autopsying the past. Personalization that reaches millions, not hundreds. Continuous sentiment monitoring. Automated competitive tracking. None of these were realistic options a decade ago. They are now. Companies that wire these capabilities into their core operations make faster, sharper decisions — ones that show up directly in revenue, satisfaction scores, and market share. Those that don’t will keep falling further behind. And the gap between organizations that wield these tools well and those still grinding through traditional approaches? It’s not closing. It’s widening every quarter.
