HUMAN Blog

Cracking down on fake reviews: How the FTC’s new rule targets bot-driven deception

Unpacking the FTCs new rule on fake reviews

The FTC’s latest rule isn’t just another regulatory update—it’s a direct strike against the people and organizations that are using bots to manipulate user reviews and sway public sentiment. 

The Federal Trade Commission (FTC)  isn’t trying to outlaw bots entirely – it’s the misuse of the tools for creating fake content that’s in the crosshairs. And, it’s about time. These bots aren’t just misleading consumers—they’re undermining the trust that’s critical to both businesses and public agencies.

For businesses, this means protecting your bottom line. But for public agencies, the stakes are even higher. Fake reviews can twist public perception, lead to bad decisions and erode the trust that’s essential for keeping things running smoothly. Staying compliant? Yeah, it’s not optional—it’s necessary. Here’s what you need to know to keep your reputation—and your integrity—intact.

The evolution of fake reviews and bot interference

For years, the FTC has been on the front lines, safeguarding consumers from deceptive practices. But as the digital landscape evolves, so do the challenges the agency faces. Among the most pressing of these is the rise of fake reviews—now a rampant issue in online marketplaces. The people behind these misleading reviews are using bots to their advantage.  These automated systems can churn out fake content on a massive scale, skewing perceptions and giving an unfair edge to those exploiting fake reviews for their gain.

On August 14, 2024, the FTC announced a final rule that bans fake reviews and testimonials outright. This new regulation doesn’t just target the creation, sale, and purchase of fake reviews; it also gives the FTC the authority to levy civil penalties against those who knowingly participate in these deceptive practices. As FTC Chair Lina M. Khan noted, this rule is a powerful step toward ensuring fairness and honesty in the marketplace.

Unmasking the bot networks behind fake reviews

The problem isn’t the bots themselves – it’s how the bad actors are using them.  These days, AI tools are driving the creation of fake reviews at scale, allowing bad actors to flood platforms with convincing reviews designed to boost their products, sway public opinion, or damage a competitor’s reputation.

While bots themselves aren’t banned, the FTC draws the line when bots churn out fake reviews.These bots—automated programs that mimic human behavior—can flood product pages with glowing endorsements for products they’ve never seen or bombard competitors with negative feedback. The new rule goes straight after these deceptive practices, recognizing the huge impact they have on consumer trust and market integrity.

Today’s bots, powered by natural language processing (NLP), can generate content that’s nearly indistinguishable from real reviews, making it harder to spot what’s fake. That’s why it’s not just about banning bots—it’s about cutting off the economic incentives that drive the misuse of these tools.

Steps businesses need to take for compliance

So, what do you need to comply with the new rule and protect your reputation—and platform—from the impact of bot-driven reviews? Here’s how to protect your organization’s integrity:

  • Deploy advanced bot detection systems

Your first line of defense should be top-tier bot detection systems. Whether you’re protecting a brand or a public agency’s digital services, the HUMAN platform is designed to identify and block bots before they can create fake accounts and generate fake reviews, safeguarding your integrity from the start.

  • Develop a proactive review verification system

Once fake accounts are blocked, your next priority is ensuring that reviews coming in are real and generated by a human. Set up a proactive system to verify the authenticity of reviews before they appear on your platform. Even with bot defenses in place, some fake accounts or reviews will always slip through the cracks, and this step helps catch those. Leveraging a review verification system reduces operational overhead while ensuring your users only see legitimate feedback.

  • Regularly monitor and audit reviews

Sadly, you can't just “set it and forget it."  Those pesky bots are always adapting. While manual monitoring might work for smaller platforms, the big players—like Amazon, IMDb, and others—need to rely on automated systems to continuously monitor reviews and user-generated content. Even the best bot mitigation systems need regular oversight to ensure they're working as intended. Automated tools can flag suspicious patterns, but consistent audits and adjustments are crucial to maintain the system's accuracy and adapt to evolving threats.
You can’t just set it and forget it.’Regular monitoring and auditing of reviews and user-generated content is essential. Keep a close watch on what’s happening across platforms, and be ready to act if anything looks suspicious.

  • Remove accounts posting suspicious reviews

Catching fake reviews is only half the battle—you’ve got to act on them too. When accounts are flagged for posting suspicious reviews, don’t hesitate to shut them down. Automated tools can spot suspicious behavior, but it's up to you to keep your platform clean. Regularly reviewing and removing these bad actors will help preserve user trust.

Embracing a new era of transparency

The FTC’s new rule is a clear signal: the era of unchecked fake reviews is over. As bots continue to evolve, the stakes are higher than ever. Businesses and public agencies must not only comply with these new regulations but also proactively adapt to safeguard trust in this rapidly changing digital landscape.

To discover how HUMAN can help your organization combat bot-driven fraud and navigate the complexities of the new regulations, visit our website.