20240033644. AUTOMATIC DETECTION OF PROHIBITED GAMING CONTENT simplified abstract (Roblox Corporation)

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AUTOMATIC DETECTION OF PROHIBITED GAMING CONTENT

Organization Name

Roblox Corporation

Inventor(s)

Matt Kaufman of San Carlos CA (US)

Shyna Khurana of San Francisco CA (US)

Dean Neal Browne of San Carlos CA (US)

Arthur Remy Malan of Menlo Park CA (US)

AUTOMATIC DETECTION OF PROHIBITED GAMING CONTENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240033644 titled 'AUTOMATIC DETECTION OF PROHIBITED GAMING CONTENT

Simplified Explanation

The patent application describes methods, systems, and computer-readable media for automatically detecting prohibited content in a game hosted on a gaming platform. Here is a simplified explanation of the abstract:

  • The method involves receiving data associated with a game, including information about the developer, user, and game content.
  • A machine learning model is used to automatically assign a classification to the game based on the received data.
  • The classification is then compared to a safety threshold to determine if the game contains prohibited content.
  • If the classification does not meet the safety threshold, the game is identified as having prohibited content.

Potential applications of this technology:

  • Game moderation: This technology can be used by gaming platforms to automatically detect and remove games that contain prohibited content, such as violence, explicit language, or inappropriate themes.
  • Content filtering: It can help in implementing content filtering mechanisms to ensure that games available on a platform meet certain safety standards and are suitable for different age groups.

Problems solved by this technology:

  • Manual content review: This technology eliminates the need for manual review of every game hosted on a gaming platform, saving time and resources.
  • Ensuring safety: By automatically detecting and removing games with prohibited content, this technology helps in creating a safer gaming environment for users.

Benefits of this technology:

  • Efficiency: The automated detection and classification process saves time and resources compared to manual content review.
  • Enhanced user experience: By removing games with prohibited content, users are provided with a safer and more enjoyable gaming experience.
  • Platform reputation: Implementing robust content moderation mechanisms helps in maintaining a positive reputation for the gaming platform by ensuring the availability of safe and appropriate games.


Original Abstract Submitted

implementations described herein relate to methods, systems, and computer-readable media to automatically detect prohibited content. for example, a method can include receiving data associated with a game hosted on a gaming platform, the data indicative of at least one developer, at least one user, and game content, automatically assigning a classification to the game with a machine learning model, the classification based on the data indicative of the at least one developer, at least one user, and game content, determining whether the classification of the game meets a safety threshold, and based on determining that the classification of the game does not meet the safety threshold, identifying the game as having prohibited content.

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