Abstract: Technologies for assigning media moderation tasks are described. Embodiments include receiving media elements, determining a type of a received media element, and receiving active session indications from moderator devices that are connected to a media moderation application. Embodiments include generating a set of assignable moderators based on the active session indications from the moderator devices. Embodiments generate moderator-media assignments based on the active session indications and media types. Embodiments communicate assignment messages to the moderator devices.

Abstract: Technologies for assigning media moderation tasks are described. Embodiments include receiving media elements, determining a type of a received media element, and receiving active session indications from moderator devices that are connected to a media moderation application. Embodiments include generating a set of assignable moderators based on the active session indications from the moderator devices. Embodiments generate moderator-media assignments based on the active session indications and media types. Embodiments communicate assignment messages to the moderator devices.

Abstract: The disclosed embodiments provide a system for managing a counting use case. During operation, the system matches, to a first counting use case, a first parameter of a first unified request over an application programming interface (API) provided by a unified counting platform. Next, the system identifies, based on metadata for configuring the first counting use case in the unified counting platform, a first counting solution assigned to the first counting use case. The system then formats a first set of parameters in the first unified request into a first adapted request that is transmitted to the first counting solution. The system also formats a first response to the first adapted request from the first counting solution into a first unified response to the first unified request. Finally, the system transmits the first unified response to a first source of the first unified request.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system identifies content shared within an online system and interactions between users of the online system and the content that match behavioral criteria and content-based criteria in a set of rules. Next, the system aggregates the content and the interactions into trends in the content and the interactions, predictions associated with the content and the interactions, and recommendations for moderating the content and the interactions. The system then outputs representations of the trends, the predictions, and the recommendations in a user interface. Finally, the system receives, via the user interface, an action to be performed on a subset of the content and updates sharing of the content within the online system based on the action.

Abstract: The disclosed embodiments provide a system for managing a counting use case. During operation, the system matches, to a first counting use case, a first parameter of a first unified request over an application programming interface (API) provided by a unified counting platform. Next, the system identifies, based on metadata for configuring the first counting use case in the unified counting platform, a first counting solution assigned to the first counting use case. The system then formats a first set of parameters in the first unified request into a first adapted request that is transmitted to the first counting solution. The system also formats a first response to the first adapted request from the first counting solution into a first unified response to the first unified request. Finally, the system transmits the first unified response to a first source of the first unified request.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system identifies content shared within an online system and interactions between users of the online system and the content that match behavioral criteria and content-based criteria in a set of rules. Next, the system aggregates the content and the interactions into trends in the content and the interactions, predictions associated with the content and the interactions, and recommendations for moderating the content and the interactions. The system then outputs representations of the trends, the predictions, and the recommendations in a user interface. Finally, the system receives, via the user interface, an action to be performed on a subset of the content and updates sharing of the content within the online system based on the action.

Abstract: Techniques for implementing a self-serve content classification platform are provided. In one technique, through a user interface (UI) of the content classification platform, a user selects an option corresponding to a particular processor type. A processor configuration is also received through the same or different UI. Based on the user selection and the processor configuration, processor data that associates the particular processor type and the processor configuration is stored in association with a client context. A content classification request is received from a client associated with the client context. In response to receiving the content classification request, content that is referenced by the content classification request is identified, the processor data is accessed based on the content classification request, a processor that is defined based on the processor data is caused to be executed based on the content, and a result is generated based on output from the processor.

Abstract: Methods, systems, and computer programs are presented for reclassifying content in an online service. One method includes an operation for classifying a content item, to be presented on an online service, as low-quality or approved. The method further includes an operation for storing, in a content database of the online service, the content item with a content certification record (CCR). The CCR includes a result of the classifying of the content item, a content classification platform signature (CCPS), and a content signature. Further, the method includes operations for detecting a trigger for determining if the content item has to be reclassified, and for checking if the item needs to be reclassified. The checking includes comparing the CCPS in the CCR to a latest CCPS and comparing the content signature in the CCR to a current content signature of the content item. The content item is reclassified based on the checking.

Abstract: Techniques for implementing a self-serve content classification platform are provided. In one technique, through a user interface (UI) of the content classification platform, a user selects an option corresponding to a particular processor type. A processor configuration is also received through the same or different UI. Based on the user selection and the processor configuration, processor data that associates the particular processor type and the processor configuration is stored in association with a client context. A content classification request is received from a client associated with the client context. In response to receiving the content classification request, content that is referenced by the content classification request is identified, the processor data is accessed based on the content classification request, a processor that is defined based on the processor data is caused to be executed based on the content, and a result is generated based on output from the processor.

Abstract: A machine may be configured to perform high confidence digital content treatment. For example, the machine accesses a message reported as objectionable by a member of a Social Networking Service (SNS). The machine identifies a digital content item included in the message reported as objectionable based on pre-processing the message. The machine determines one or more degrees of similarity between the digital content item and one or more other digital content items included in one or more other messages previously reported as objectionable by members of the SNS. The machine generates a final score value associated with the digital content item based on the one or more degrees of similarity values between the digital content item and one or more other digital content items. The machine executes a treatment for the message reported as objectionable based on the final score value associated with the content of the message.

Abstract: Methods, systems, and computer programs are presented for reclassifying content in an online service. One method includes an operation for classifying a content item, to be presented on an online service, as low-quality or approved. The method further includes an operation for storing, in a content database of the online service, the content item with a content certification record (CCR). The CCR includes a result of the classifying of the content item, a content classification platform signature (CCPS), and a content signature. Further, the method includes operations for detecting a trigger for determining if the content item has to be reclassified, and for checking if the item needs to be reclassified. The checking includes comparing the CCPS in the CCR to a latest CCPS and comparing the content signature in the CCR to a current content signature of the content item. The content item is reclassified based on the checking.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of questions from a community of members. Next, the system uses a set of tags for each question and member attributes for a member of the community to calculate a relevance score representing a relevance of the question to the member. The system then combines the relevance score with additional scores for the member to obtain an overall score between the question and the member. Finally, the system ranks the set of questions by the overall scores and outputs the ranked set of questions to the member for use in obtaining answers to the set of questions from the member.

Abstract: A machine may be configured to perform detecting and treating unauthorized duplicate digital content. For example, the machine accesses a digital content item published on a server of a social networking service (SNS) by a member of the SNS. The machine determines that the digital content item does not include a reference indicator that indicates that the digital content item is copied original content. The machine determines that the digital content item is at least one of a near-duplicate or an exact duplicate of an original digital content item based on a comparison between data pertaining to the digital content item and data pertaining to the original digital content item. The machine enhances the server based on executing a treatment of the digital content item. The executing of the treatment includes causing an automatic alteration of a state associated with the digital content item in the record of the database.

Abstract: A machine is configured to correct erroneous automatic treatment of digital content items identified using, for instance, a locality sensitive hash model or a pattern matching model, and to address operational problems. For example, the machine accesses a signal value indicating that a content item is non-objectionable. The machine generates, based on one or more signal values associated with one or more near-duplicates of the content item, a score associated with the content item. The score indicates a level of objectionability of the content item. The machine modifies a status of the content item based on determining that the score does not exceed a threshold value associated with a treatment of content items. The modified status indicates that the content item is non-objectionable. The machine causes a display of an identifier associated with the content item in a user interface. The identifier indicates that the content item is non-objectionable.

Abstract: A machine may be configured to perform high confidence digital content treatment. For example, the machine accesses a message reported as objectionable by a member of a Social Networking Service (SNS). The machine identifies a digital content item included in the message reported as objectionable based on pre-processing the message. The machine determines one or more degrees of similarity between the digital content item and one or more other digital content items included in one or more other messages previously reported as objectionable by members of the SNS. The machine generates a final score value associated with the digital content item based on the one or more degrees of similarity values between the digital content item and one or more other digital content items. The machine executes a treatment for the message reported as objectionable based on the final score value associated with the content of the message.

Abstract: Aspects of the present invention are directed to improving the speed of event-driven simulation by manipulating delta delays in a system model to reduce delta cycle executions. The manipulation is performed in a manner that preserves delta cycle accurate timing on selected signals of the system, which may be of interest to a designer. Methods and systems are provided for identifying the signals of interest, and for determining portions of the design that may have delta delays retimed. Preserving the timing on the signals of interest ensures that race conditions and glitches present in the design on the signals of interest are still viewable by the designer. To reduce simulation time, delta delays may be moved from high activity signals to low activity signals, the total number of delta delays may be reduced, or a number of processes executed may be reduced.

Abstract: The invention provides techniques and apparatuses for generating a hierarchical representation of the power behavior of an electronic design. In some implementations, a flat finite state machine, representing the power behavior of an electronic design is extracted from the power specification for the electronic design. Subsequently, a hierarchical finite state machine representation for the power behavior is generated from the flat finite state machine, the power specification and the logical specification.

Abstract: Aspects of the present invention are directed to improving the speed of event-driven simulation by manipulating delta delays in a system model to reduce delta cycle executions. The manipulation is performed in a manner that preserves delta cycle accurate timing on selected signals of the system, which may be of interest to a designer. Methods and systems are provided for identifying the signals of interest, and for determining portions of the design that may have delta delays retimed. Preserving the timing on the signals of interest ensures that race conditions and glitches present in the design on the signals of interest are still viewable by the designer. To reduce simulation time, delta delays may be moved from high activity signals to low activity signals, the total number of delta delays may be reduced, or a number of processes executed may be reduced.

Abstract: The invention provides techniques and apparatuses for generating a hierarchical representation of the power behavior of an electronic design. In some implementations, a flat finite state machine, representing the power behavior of an electronic design is extracted from the power specification for the electronic design. Subsequently, a hierarchical finite state machine representation for the power behavior is generated from the flat finite state machine, the power specification and the logical specification.

Abstract: Aspects of the present invention are directed to improving the speed of event-driven simulation by manipulating delta delays in a system model to reduce delta cycle executions. The manipulation is performed in a manner that preserves delta cycle accurate timing on selected signals of the system, which may be of interest to a designer. Methods and systems are provided for identifying the signals of interest, and for determining portions of the design that may have delta delays retimed. Preserving the timing on the signals of interest ensures that race conditions and glitches present in the design on the signals of interest are still viewable by the designer. To reduce simulation time, delta delays may be moved from high activity signals to low activity signals, the total number of delta delays may be reduced, or a number of processes executed may be reduced.