However, we won’t display any review that includes or refers to (among other things): Ideally, we would publish every review we receive, whether positive or negative. If we find any, we delete them and, if necessary, take action against whoever is responsible.Īnyone else who spots something suspicious can always report it to our Customer Service team, so our Fraud team can investigate.

We have people and automated systems that specialise in detecting fake reviews submitted to our Platform. To edit a review you’ve already submitted, please contact our Customer Service team. You can review an Accommodation that you booked through our Platform if you stayed there or if you arrived at the property but didn’t actually stay there. Note that guests submit their subscores and their overall scores independently, so there’s no direct link between them. In addition, guests can give separate ‘subscores’ in crucial areas, such as location, cleanliness, staff, comfort, facilities, value for money and free Wi-Fi. To get the overall score that you see, we add up all the review scores we’ve received and divide that total by the number of review scores we’ve received. However, a majority of the attacks originating from Tor generate high traffic volume, suggesting the possibility of detection and prevention without violating Tor users’ privacy.Start of dialog content How guest reviews workĮach review score is between 1-10. We find that conservative exit policies are ineffective in preventing the blacklisting of exit relays.

As part of our study, we also develop methods for classifying email complaints and an interactive crawler to find subtle forms of discrimination, and deploy our own exits in various configurations to understand which are prone to discrimination. We address this challenge by leveraging multiple independent data sources: email complaints sent to exit operators, commercial IP blacklists, webpage crawls via Tor, and privacy-sensitive measurements of our own Tor exit nodes. In this study, we characterize not only the extent of such discrimination but also the nature of the undesired traffic originating from the Tor network-a task complicated by Tor’s need to maintain user anonymity. Facing abusive traffic from the Tor anonymity network, online service providers discriminate against Tor users.

Tor publishing discriminatory