Disney Enterprises, Inc.

Paul Pak

Sean O'Dell

Marc Adam Silbey

Vita G Markman

Drew Beechum

Christopher E Adamson

Christian P Shrigley

Arkady G Trestman

Adam Semeniuk

Amanda D Penner

Charity J Gerbrandt

Michael L Vanloon

James C Warnock

Lane Merrifield

Andrew R Beechum

Kip Martin

Stephane Jankowski

Kevin O'Sullivan

Steven Ligatsa

Cory Bates

A method and system is disclosed for evaluating a chat message sent between users of an online environment. The method may include receiving a chat message and parsing the message into words. The method determines the acceptability of the message by matching the message to a plurality of acceptable messages stored in a data structure. Upon determining the message does not match any acceptable messages, the method replaces each word in the message with grammatical metadata. The method may use templates to determine if the message has acceptable word combinations based on the metadata. The method may also compare the metadata to rules wherein the rules determine if the message has unacceptable word combinations based on the metadata. The method may send the message to a user upon determining words in the message do not match any word in a list of unacceptable words.

Real-time search and validation of phrases using linguistic phrase components

A method is disclosed for evaluating a chat message sent between users of an online environment. The method may include associating each word in the chat message with metadata. The metadata identifies a word type and usage for each word in the chat message. This method may also include identifying one or more safety rules associated with the metadata. Each safety rule identifies an ordered sequence of one or more sets of words. This method may also include applying the safety rule to the chat message to determine whether a sequence of words in the chat message present in the ordered sequence of sets of words. Upon determining a word, from each set of words in the ordered sequence of sets of words, matches a respective one of the words in the chat message, the chat message is blocked from being sent to a message recipient.

Comprehensive safety schema for ensuring appropriateness of language in online chat

Techniques for receiving user feedback for an instance of content. Embodiments provide an interface that includes an interactive element through which users can provide feedback for an instance of content. Responsive to a first user interacting with the interactive element, an indication of user feedback from the first user is registered for the instance of content. Upon determining that the indication of user feedback from the first user has been registered for the instance of content, the interactive element is disabled within the interface for the first user. Embodiments monitor the instance of content to detect changes to the instance of content and, upon detecting a change to the instance of content since the first user provided the user feedback for the content, automatically and without user interaction, re-enable the interactive element for the first user such that the first user can again interact with the interactive element.

Selectively reenabling an interactive element for the collection of user feedback

Techniques are disclosed for supplying users in an online environment with a safe and effective chat facility. The chat facility is 'safe' in the sense that the ability of users to compose inappropriate messages is greatly restricted, while 'effective' in the sense that users are still allowed a broad range of expressivity in composing and exchanging chat messages.

Soft-sending chat messages

System, method, and computer program product to autocorrect text for the purpose of matching words from an approved corpus, by: responsive to receiving a text input comprising a first word, validating the first word against a content corpus, wherein the content corpus comprises a plurality of words approved for display in an online chat, validating the first word against a set of rules, and upon determining that the first word of the text input is not validated against at least one of the content corpus and the set of rules, modifying the text input by replacing the first word with a first approved word from the content corpus.

Autocorrecting text for the purpose of matching words from an approved corpus

Dynamically generated phrase-based assisted input

Techniques for receiving user feedback for an instance of content. Embodiments provide an interface that includes an interactive element through which users can provide feedback for an instance of content. Responsive to a first user interacting with the interactive element, an indication of user feedback from the first user is registered for the instance of content, and the interactive element within the interface is disabled for the first user. Embodiments monitor the instance of content to detect changes to the instance of content. Additionally, upon detecting a change to the instance of content, the interactive element is enabled for the first user, such that the first user can again interact with the interactive element.

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North Hollywood, CA, United States of America

Paul Pak