The news is awash with stories of platforms clamping down on misinformation and the angst involved in banning prominent members. But these are Band-Aids over a deeper issue — namely, that the problem of misinformation is one of our own design. Some of the core elements of how we’ve built social media platforms may inadvertently increase polarization and spread misinformation.
If we could teleport back in time to relaunch social media platforms like Facebook, Twitter and TikTok with the goal of minimizing the spread of misinformation and conspiracy theories from the outset … what would they look like?
This is not an academic exercise. Understanding these root causes can help us develop better prevention measures for current and future platforms.
Some of the core elements of how we’ve built social media platforms may inadvertently increase polarization and spread misinformation.
As one of the Valley’s leading behavioral science firms, we’ve helped brands like Google, Lyft and others understand human decision-making as it relates to product design. We recently collaborated with TikTok to design a new series of prompts (launched this week) to help stop the spread of potential misinformation on its platform.
The intervention successfully reduces shares of flagged content by 24%. While TikTok is unique amongst platforms, the lessons we learned there have helped shape ideas on what a social media redux could look like.
We can take much bigger swings at reducing the views of unsubstantiated content than labels or prompts.
In the experiment we launched together with TikTok, people saw an average of 1.5 flagged videos over a two-week period. Yet in our qualitative research, many users said they were on TikTok for fun; they didn’t want to see any flagged videos whatsoever. In a recent earnings call, Mark Zuckerberg also spoke of Facebook users’ tiring of hyperpartisan content.
We suggest giving people an “opt-out of flagged content” option — remove this content from their feeds entirely. To make this a true choice, this opt-out needs to be prominent, not buried somewhere users must seek it out. We suggest putting it directly in the sign-up flow for new users and adding an in-app prompt for existing users.
Shift the business model
There’s a reason false news spreads six times faster on social media than real news: Information that’s controversial, dramatic or polarizing is far more likely to grab our attention. And when algorithms are designed to maximize engagement and time spent on an app, this kind of content is heavily favored over more thoughtful, deliberative content.
The ad-based business model is at the core the problem; it’s why making progress on misinformation and polarization is so hard. One internal Facebook team tasked with looking into the issue found that, “our algorithms exploit the human brain’s attraction to divisiveness.” But the project and proposed work to address the issues was nixed by senior executives.
Essentially, this is a classic incentives problem. If business metrics that define “success” are no longer dependent on maximizing engagement/time on site, everything will change. Polarizing content will no longer need to be favored and more thoughtful discourse will be able to rise to the surface.
Design for connection
A primary part of the spread of misinformation is feeling marginalized and alone. Humans are fundamentally social creatures who look to be part of an in-group, and partisan groups frequently provide that sense of acceptance and validation.
We must therefore make it easier for people to find their authentic tribes and communities in other ways (versus those that bond over conspiracy theories).
Mark Zuckerberg says his ultimate goal with Facebook was to connect people. To be fair, in many ways Facebook has done that, at least on a surface level. But we should go deeper. Here are some ways:
We can design for more active one-on-one communication, which has been shown to increase well-being. We can also nudge offline connection. Imagine two friends are chatting on Facebook messenger or via comments on a post. How about a prompt to meet in person, when they live in the same city (post-COVID, of course)? Or if they’re not in the same city, a nudge to hop on a call or video.
In the scenario where they’re not friends and the interaction is more contentious, platforms can play a role in highlighting not only the humanity of the other person, but things one shares in common with the other. Imagine a prompt that showed, as you’re “shouting” online with someone, everything you have in common with that person.
Platforms should also disallow anonymous accounts, or at minimum encourage the use of real names. Clubhouse has good norm-setting on this: In the onboarding flow they say, “We use real names here.” Connection is based on the idea that we’re interacting with a real human. Anonymity obfuscates that.
Finally, help people reset
We should make it easy for people to get out of an algorithmic rabbit hole. YouTube has been under fire for its rabbit holes, but all social media platforms have this challenge. Once you click a video, you’re shown videos like it. This may help sometimes (getting to that perfect “how to” video sometimes requires a search), but for misinformation, this is a death march. One video on flat earth leads to another, as well as other conspiracy theories. We need to help people eject from their algorithmic destiny.
With great power comes great responsibility
More and more people now get their news from social media, and those who do are less likely to be correctly informed about important issues. It’s likely that this trend of relying on social media as an information source will continue.
Social media companies are thus in a unique position of power and have a responsibility to think deeply about the role they play in reducing the spread of misinformation. They should absolutely continue to experiment and run tests with research-informed solutions, as we did together with the TikTok team.
This work isn’t easy. We knew that going in, but we have an even deeper appreciation for this fact after working with the TikTok team. There are many smart, well-intentioned people who want to solve for the greater good. We’re deeply hopeful about our collective opportunity here to think bigger and more creatively about how to reduce misinformation, inspire connection and strengthen our collective humanity all at the same time.
5 Effective Ways to Run Facebook Ads A/B Tests
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.
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.
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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