Abstract: Aspects of the present disclosure relate to adverse user behavior detection and mitigation. In examples, a user account of a social platform may be trusted or untrusted. If the user account is untrusted, activity of the user account may be buffered so as to not directly affect social metrics of the social platform. For example, if the untrusted user account follows a target user account, the untrusted user account may be added to a separate set of followers or otherwise separated from a set of trusted followers of the target user account. Eventually, each user account in the separate set is evaluated to determine whether the user account has transitioned to a trusted user. If the user account is now trusted, it may be migrated to the set of trusted followers. However, if the user account is untrusted, it may be removed from the separate set, thereby reverting the activity.

Abstract: Aspects of the present disclosure relate to adverse user behavior detection and mitigation. In examples, a user account of a social platform may be trusted or untrusted. If the user account is untrusted, activity of the user account may be buffered so as to not directly affect social metrics of the social platform. For example, if the untrusted user account follows a target user account, the untrusted user account may be added to a separate set of followers or otherwise separated from a set of trusted followers of the target user account. Eventually, each user account in the separate set is evaluated to determine whether the user account has transitioned to a trusted user. If the user account is now trusted, it may be migrated to the set of trusted followers. However, if the user account is untrusted, it may be removed from the separate set, thereby reverting the activity.

Abstract: Aspects of the present disclosure relate to adverse user behavior detection and mitigation. In examples, a user account of a social platform may be trusted or untrusted. If the user account is untrusted, activity of the user account may be buffered so as to not directly affect social metrics of the social platform. For example, if the untrusted user account follows a target user account, the untrusted user account may be added to a separate set of followers or otherwise separated from a set of trusted followers of the target user account. Eventually, each user account in the separate set is evaluated to determine whether the user account has transitioned to a trusted user. If the user account is now trusted, it may be migrated to the set of trusted followers. However, if the user account is untrusted, it may be removed from the separate set, thereby reverting the activity.

Abstract: Aspects of the present disclosure relate to adverse user behavior detection and mitigation. In examples, a user account of a social platform may be trusted or untrusted. If the user account is untrusted, activity of the user account may be buffered so as to not directly affect social metrics of the social platform. For example, if the untrusted user account follows a target user account, the untrusted user account may be added to a separate set of followers or otherwise separated from a set of trusted followers of the target user account. Eventually, each user account in the separate set is evaluated to determine whether the user account has transitioned to a trusted user. If the user account is now trusted, it may be migrated to the set of trusted followers. However, if the user account is untrusted, it may be removed from the separate set, thereby reverting the activity.

Abstract: Aspects of the subject disclosure are directed towards providing feedback to users of multi-user system that has biometric recognition capabilities, so that a user knows whether the system has correctly associated the user with his or her identity. The feedback may include a display of a current camera view, along with visible identity information that is associated with each user in the view. The feedback may include per-user icons (e.g., tiles, thumbnail images and so on) by which a user visually confirms that he or she is correctly recognized. Any misrecognition may be detected via the feedback and corrected. Feedback may convey other information, such as the current interaction state/capabilities of a user.

Abstract: Aspects of the subject disclosure are directed towards providing feedback to users of multi-user system that has biometric recognition capabilities, so that a user knows whether the system has correctly associated the user with his or her identity. The feedback may include a display of a current camera view, along with visible identity information that is associated with each user in the view. The feedback may include per-user icons (e.g., tiles, thumbnail images and so on) by which a user visually confirms that he or she is correctly recognized. Any misrecognition may be detected via the feedback and corrected. Feedback may convey other information, such as the current interaction state/capabilities of a user.

Abstract: Aspects of the subject disclosure are directed towards providing feedback to users of multi-user system that has biometric recognition capabilities, so that a user knows whether the system has correctly associated the user with his or her identity. The feedback may include a display of a current camera view, along with visible identity information that is associated with each user in the view. The feedback may include per-user icons (e.g., tiles, thumbnail images and so on) by which a user visually confirms that he or she is correctly recognized. Any misrecognition may be detected via the feedback and corrected. Feedback may convey other information, such as the current interaction state/capabilities of a user.

Abstract: Aspects of the subject disclosure are directed towards providing feedback to users of multi-user system that has biometric recognition capabilities, so that a user knows whether the system has correctly associated the user with his or her identity. The feedback may include a display of a current camera view, along with visible identity information that is associated with each user in the view. The feedback may include per-user icons (e.g., tiles, thumbnail images and so on) by which a user visually confirms that he or she is correctly recognized. Any misrecognition may be detected via the feedback and corrected. Feedback may convey other information, such as the current interaction state/capabilities of a user.