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Facebook partially documents its content recommendation system

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Algorithmic recommendation systems on social media sites like YouTube, Facebook and Twitter have shouldered much of the blame for the spread of misinformation, propaganda, hate speech, conspiracy theories and other harmful content. Facebook, in particular, has come under fire in recent days for allowing QAnon conspiracy groups to thrive on its platform and for helping militia groups to scale membership. Today, Facebook is attempting to combat claims that its recommendation systems are at any way at fault for how people are exposed to troubling, objectionable, dangerous, misleading and untruthful content.

The company has, for the first time, made public how its content recommendation guidelines work.

In new documentation available in Facebook’s Help Center and Instagram’s Help Center, the company details how Facebook and Instagram’s algorithms work to filter out content, accounts, Pages, Groups and Events from its recommendations.

Currently, Facebook’s Suggestions may appear as Pages You May Like, “Suggested For You” posts in News Feed, People You May Know, or Groups You Should Join. Instagram’s suggestions are found within Instagram Explore, Accounts You May Like and IGTV Discover.

The company says Facebook’s existing guidelines have been in place since 2016 under a strategy it references as “remove, reduce, and inform.” This strategy focuses on removing content that violates Facebook’s Community Standards, reducing the spread of problematic content that does not violate its standards, and informing people with additional information so they can choose what to click, read or share, Facebook explains.

The Recommendation Guidelines typically fall under Facebook’s efforts in the “reduce” area, and are designed to maintain a higher standard than Facebook’s Community Standards, because they push users to follow new accounts, groups, Pages and the like.

Facebook, in the new documentation, details five key categories that are not eligible for recommendations. Instagram’s guidelines are similar. However, the documentation offers no deep insight into how Facebook actually chooses what to recommend to a given user. That’s a key piece to understanding recommendation technology, and one Facebook intentionally left out.

One obvious category of content that many not be eligible for recommendation includes those that would impede Facebook’s “ability to foster a safe community,” such as content focused on self-harm, suicide, eating disorders, violence, sexually explicit content, regulated content like tobacco or drugs or content shared by non-recommendable accounts or entities.

Facebook also claims to not recommend sensitive or low-quality content, content users frequently say they dislike and content associated with low-quality publishings. These further categories include things like clickbait, deceptive business models, payday loans, products making exaggerated health claims or offering “miracle cures,” content promoting cosmetic procedures, contests, giveaways, engagement bait, unoriginal content stolen from another source, content from websites that get a disproportionate number of clicks from Facebook versus other places on the web or news that doesn’t include transparent information about the authorship or staff.

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In addition, Facebook claims it won’t recommend fake or misleading content, like those making claims found false by independent fact checkers, vaccine-related misinformation and content promoting the use of fraudulent documents.

It says it will also “try” not to recommend accounts or entities that recently violated Community Standards, shared content Facebook tries to not recommend, posted vaccine-related misinformation, engaged in purchasing “Likes,” has been banned from running ads, posted false information or are associated with movements tied to violence.

The latter claim, of course, follows recent news that a Kenosha militia Facebook Event remained on the platform after being flagged 455 times after its creation, and had been cleared by four moderators as non-violating content. The associated Page had issued a “call to arms” and hosted comments about people asking what types of weapons to bring. Ultimately, two people were killed and a third was injured at protests in Kenosha, Wisconsin when a 17-year old armed with an AR-15-style rifle broke curfew, crossed state lines and shot at protestors.

Given Facebook’s track record, it’s worth considering how well Facebook is capable of abiding by its own stated guidelines. Plenty of people have found their way to what should be ineligible content, like conspiracy theories, dangerous health content, COVID-19 misinformation and more by clicking through on suggestions at times when the guidelines failed. QAnon grew through Facebook recommendations, it’s been reported.

It’s also worth noting, there are many gray areas that guidelines like these fail to cover.

Militia groups and conspiracy theories are only a couple of examples. Amid the pandemic, U.S. users who disagreed with government guidelines on business closures can easily find themselves pointed toward various “reopen” groups where members don’t just discuss politics, but openly brag about not wearing masks in public or even when required to do so at their workplace. They offer tips on how to get away with not wearing masks, and celebrate their successes with selfies. These groups may not technically break rules by their description alone, but encourage behavior that constitutes a threat to public health.

Meanwhile, even if Facebook doesn’t directly recommend a group, a quick search for a topic will direct you to what would otherwise be ineligible content within Facebook’s recommendation system.

For instance, a quick search for the word “vaccines” currently suggests a number of groups focused on vaccine injuries, alternative cures and general anti-vax content. These even outnumber the pro-vax content. At a time when the world’s scientists are trying to develop protection against the novel coronavirus in the form of a vaccine, allowing anti-vaxxers a massive public forum to spread their ideas is just one example of how Facebook is enabling the spread of ideas that may ultimately become a global public health threat.

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The more complicated question, however, is where does Facebook draw the line in terms of policing users having these discussions versus favoring an environment that supports free speech? With few government regulations in place, Facebook ultimately gets to make this decision for itself.

Recommendations are only a part of Facebook’s overall engagement system, and one that’s often blamed for directing users to harmful content. But much of the harmful content that users find could be those groups and Pages that show up at the top of Facebook search results when users turn to Facebook for general information on a topic. Facebook’s search engine favors engagement and activity — like how many members a group has or how often users post — not how close its content aligns with accepted truths or medical guidelines.

Facebook’s search algorithms aren’t being similarly documented in as much detail.

TechCrunch

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5 Effective Ways to Run Facebook Ads A/B Tests

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Facebook Ads A/B Tests or split tests help them try different versions of ads with various campaign elements. This process helps them arrive at the best version for the organization’s target. 

A/B Tests offer a vast pool of resources to try out various versions. You may get caught up and lose your way to arriving at the best version in a limited time. To better understand this topic you can read the Facebook ad testing guide. Here are five effective ways to run Facebook Ads A/B Tests-

1) Start with the minimal number of variables

This approach will help you analyze the impact of a variable much better. The lesser the variables, the better will be the relevant results and more conclusive. Once you have various versions, you will need to run them through the A/B Significance Test to determine if the test results are valid.

2) The second way is to select the correct structure. 

There are two structures in A/B tests. One is a single ad test, and the other is multiple single variation ad sets. All the variations will go under one ad set in the first structure. Each variation will be under a separate ad set in the second one. Out of the two, the second one works out to be better and gives better results.

3) Use of spreadsheets is important to stay organized. 

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These spreadsheets help collect and analyze data to get meaningful insights and arrive at data-backed decisions.

4) Do target advertising and set realistic time goals. 

One approach is to choose an entirely new set of audiences. Also, the data pool should be vast and not the same as some existing campaigns. The reason for choosing a different audience is that Facebook may mix up your ads and give contaminated output. 

Another approach to choosing the right audience is to pick geography. It works better, especially when you have business in a particular region.   

It’s also essential to set a realistic timeline for your testing. Facebook suggests one should run a test for at least four days, but you can choose to run the test for up to 30 days.   

5) Set an ideal budget. 

The concept of a perfect budget is subjective. But, you can fix it yourself, or Facebook can do that for you based on your testing data. A large part of the test budget is spent on avoiding audience duplication. If the same audience sees variations, it could affect the test results.

Besides these top five effective ideas, you will need to take a few more action points to make the testing process efficient. Make sure you put the website’s domain link and not the landing page link in the ad, as that doesn’t look good. Put appropriate Call To Action Button, such as ‘Learn More,’ ‘Buy Now,’ etc. It’s also important to see how your ad is coming across on various electronic gadgets- mobile, tablets, etc.

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Another strategy that works is trying to engage the customer. You may add social engagement buttons such as ‘Like’ or ‘Comment.’ Use high-resolution images as they work better with the customers. Low-quality, highly edited images are often not liked and trusted by the consumers.

You can learn more about the audience behavior patterns with A/B test results. Conducting these tests on Facebook streamlines the entire process and makes it smooth for you. With the test results, advertisers and marketers can work on the creatives they need to utilize.

To sum it up, you can run an effective A/B test campaign within the specified budget. You don’t need to spend massive amounts to get your advertisement right. You’ll make the correct assumptions about the performance of variations with a good understanding of business and consumers.

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