Hosts Say Airbnb Won’t Remove Unfair Reviews. Guests Say It Removes Too Many.

Source

Skift: Hosts Say Airbnb Won’t Remove Unfair Reviews. Guests Say It Removes Too Many.

What It Says

The short-term rental industry is locked in a tense debate over platform review policies. Hosts argue that major platforms like Airbnb, Vrbo, and Booking.com make it incredibly difficult to remove unfair, retaliatory, or inaccurate reviews. In one highlighted case, Yosemite-area superhost Yelena Choin provided electronic lock logs and security camera footage proving a guest never checked in, yet Airbnb initially refused to remove the guest's one-star review. The platform only relented after the host posted on X (formerly Twitter) and Skift intervened.

Conversely, guests argue that platforms remove too many negative reviews, artificially inflating average ratings. This tension highlights a system where both sides feel disadvantaged, while platforms struggle to balance moderation.

Why It Matters

For short-term rental operators, star ratings dictate financial survival. Data from AirDNA reveals that a minor 0.1-star rating increase can boost monthly revenue by up to $200 in certain markets. Furthermore, five-star listings command an average RevPAR of $143 per night, compared to just $110 for properties rated below 4.5 stars. Because a single retaliatory review can suppress search visibility and booking velocity for months, the lack of a transparent, predictable appeal process represents a major business risk for hosts.

Useful Signals

Financial Impact of Ratings: Listings with a 5.0 rating average $143 RevPAR, while those below 4.5 stars drop to $110 RevPAR.
The "X Factor" in Support: Standard support channels often fail hosts, with resolution frequently requiring public escalation on social media platforms like X.
AI in Moderation: While Airbnb states it does not use AI to decide review disputes, hosts suspect automated screening. AirDNA currently advises hosts to draft dispute appeals optimized for machine readers first, and human agents second.
Competitor Policies: Booking.com openly utilizes automated detection technology alongside human moderators, while Vrbo has declined to disclose the extent of AI involvement in its review screening.

STR Tech Report Take

The review system remains one of the most vulnerable components of the STR ecosystem. As platforms increasingly rely on automated algorithms to filter initial support tickets, tech-savvy operators must adapt their dispute strategies.

"Airbnb says it doesn't use AI to decide disputed reviews..."

Despite this claim, the reality of first-line support suggests that writing clear, structured, and keyword-friendly appeals is critical for passing initial automated filters. For STR technology vendors, there is a growing market opportunity to develop automated dispute-drafting tools that help hosts package evidence—such as smart lock logs and noise monitoring data—into standardized, platform-friendly appeal templates.

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