In the context of Airbnb, various types of abuses can occur, and identifying them often relies on analyzing different data sources. Here are some common types of abuses on Airbnb and the data that can be used to identify them:
Unauthorized Parties: Guests hosting parties without permission from the host can lead to property damage and disturbance to neighbors. Data that can help identify this abuse includes guest reviews, complaints from neighbors or previous hosts, and bookings closer to guest DOB etc.
Property Damage: Guests causing intentional or unintentional damage to the property can be identified through host reviews, security deposits, and claims filed by hosts for reimbursement.
Fake Listings or Scams: Fraudulent listings or scams involve misleading descriptions, nonexistent properties, or attempts to obtain money or personal information unlawfully. Data to identify these abuses may include user reviews, reports from affected guests, and comparison of listings against known fraudulent patterns.
Unfair Guest Behavior: Instances where guests engage in disrespectful or inappropriate behavior can be identified through host reviews, guest reviews, and communication records between hosts and guests.
Breach of Rental Agreements: Violations of rental agreements, such as subletting without permission, exceeding occupancy limits, or using the property for unauthorized purposes, can be detected through host reports, guest reviews, and internal Airbnb messaging.
Discrimination: Discrimination based on factors such as race, religion, gender, or nationality is against Airbnb's policies. Discriminatory incidents can be identified through guest reviews, host reports, and any documented instances of bias.
Safety and Security Concerns: Incidents involving personal safety, unauthorized access, or theft can be detected through guest reviews, host reports, and any formal complaints filed by guests or hosts.
To identify these abuses, Airbnb employs various strategies such as data analysis, machine learning algorithms, user reporting systems, and manual reviews of reported incidents. The platform also encourages users to provide feedback and report any concerns to help identify and address potential abuses effectively.