Online Session Moderation via Time-Based History Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In online sessions, users often face inappropriate behavior such as profane language, obscene gestures, illegal activities, and cheating, which can decrease the enjoyment of the experience for others and require improved moderation.
Innovation Solution
A method for community moderation that involves capturing a time-based history of online session activity when a triggering mechanism, like a panic button, is activated, allowing a moderation entity to evaluate and take appropriate actions against offending users, including warnings, access limitations, or restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional moderation methods are used in online sessions, then moderation can be performed, but the response time is slow and inappropriate behavior continues to affect users during the moderation process
Solution Approach 1:
The system performs preliminary actions by continuously capturing and storing time-based history of online session activity before inappropriate behavior occurs. When a triggering mechanism is activated, the pre-captured history is immediately available for transmission and evaluation, eliminating the need to wait for behavior to occur and then investigate it retrospectively.
Solution Approach 2:
The patent introduces an intermediary mechanism (triggering mechanism/panic button) that users can activate to immediately flag inappropriate behavior. This intermediary serves as a direct communication channel between users and the moderation entity, allowing instant reporting without requiring manual investigation or waiting for scheduled moderation checks.
2Object-affected harmful factors
If comprehensive monitoring of all user activity is implemented to ensure safety, then inappropriate behavior can be detected, but system complexity and resource consumption increase significantly
Solution Approach 1:
The system extracts only the necessary information for moderation by capturing time-based history of specific online session activity rather than monitoring all possible user actions across the entire platform. The triggering mechanism allows users to extract and highlight only the specific instances of inappropriate behavior that need attention, filtering out irrelevant activity.
Solution Approach 2:
The system implements partial monitoring by capturing activity history for a predetermined time period around triggering events rather than continuously analyzing all user interactions. This partial action approach provides sufficient data for moderation while avoiding the excessive resource consumption of comprehensive real-time monitoring of every user action.
3Speed
If users are given the ability to report inappropriate behavior instantly, then response speed improves, but false accusations and abuse of the system may increase
Solution Approach 1:
The system incorporates feedback mechanisms by transmitting the captured time-based history to the moderation entity for evaluation before taking action. The moderation entity reviews the objective activity data to verify whether inappropriate behavior actually occurred, providing feedback validation that reduces false accusations while maintaining fast response times through automated evidence collection.
Solution Approach 2:
The system performs preliminary action by automatically capturing and preserving objective evidence of user activity in time-based history before any accusations are made. This pre-captured evidence serves as factual basis for evaluation, preventing baseless false accusations while allowing rapid reporting when genuine inappropriate behavior occurs, as the evidence is already prepared and verified.
Data Source
AI summary
Methods, apparatuses, and techniques for moderating activity in an online community are described. Aspects include a triggering mechanism being activated by a community member in response to inappropriate activity by another community member. Receiving a time based history of community members activity around a time of the triggering mechanism being activated. Recreating the community activity from the time based history. Evaluating activities of the community members to determine if there was inappropriate activity and if there is inappropriate activity by an offending community member taking appropriate action against the offending community member.