Tinder Is Cracking Down On Inappropriate And Offensive Behavior
Dating apps can get weird and sometimes very inappropriate. Tinder, the dating app, is cracking down on inappropriate users by beefing up its user warnings. They’re doing this to encourage good in-app behavior. The dating app’s latest update makes all users aware of the updated Community Guidelines when creating a profile. Any account reported for violating these guidelines risks being removed from the app. The new warnings are classified into three categories. These include authenticity, respectfulness, and inclusiveness. They cover in-app behavior when engaging with other users, such as harassment, and protect users against advertising and impersonation.
Warnings will be displayed in-app messages from “Team Tinder,” and explain what breach has occurred. They can’t be deleted. According to the news release, the introduction of warnings will go live globally in the coming weeks.
“These warnings are designed to provide transparency and to alert users when they are not engaging in acceptable and respectful behaviour,” said Tinder’s VP of Trust and Safety Operations, Nicole Blumenfeld, in a news release. “By providing greater transparency to users about their behaviour, not only are we enabling them to immediately ‘course correct’ but also foster a better experience for the wider Tinder community.”
Tinder revamped its Community Guidelines last year in a bid to enhance “authenticity, respect, and inclusivity” within the app. Among the changes, Tinder eliminated social media handles from bios to encourage genuine personal connections rather than networking. Additionally, Tinder urged users to refrain from catfishing and discouraged the submission of false reports.
In 2020, the dating app tried to discourage disrespectful and creepy messages on its platform. The “Does This Bother You?” function, rolled out in 2020, identifies potentially unsuitable messages and prompts the recipient to consider reporting them. In the following year, Tinder introduced “Are You Sure?”, a comparable feature aimed at message senders. Leveraging machine learning, this functionality spots harmful language and asks users about their intention to send such messages.
