Abstract: Methods and systems are disclosed for performing operations for providing a shared augmented reality experience in a video chat. A video chat can be established between a plurality of client devices. During the video chat, videos of users associated with the client devices can be displayed. During the video chat, a request from a first client device to activate a first AR experience can be received, and in response, and body parts of users depicted in the videos are modified to include one or more AR elements associated with the first AR experience.

Abstract: Methods and systems are disclosed for performing operations for providing a shared augmented reality experience in a video chat. A video chat can be established between a plurality of client devices. During the video chat, videos of users associated with the client devices can be displayed. During the video chat, a request from a first client device to activate a first AR experience can be received, and in response, and body parts of users depicted in the videos are modified to include one or more AR elements associated with the first AR experience.

Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.

Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: A computer implemented method includes monitoring changes to an account accessible by a group of subscribers that form a social network. The changes to the account are compared to a normative base line to identify deviations from the normative base line. An alert is sent in response to deviations from the normative base line. The normative base line is defined by metadata gathered through an application program interface associated with the account, account entity data and a set of predefined rules.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.

Abstract: A system is provided that allows a user to visualize data. A dataset that includes a plurality of data items arranged in a two-dimensional (2D) format is received. A request to visualize the dataset in three dimensions is then received. A three-dimensional (3D) visualization of the dataset is then generated based on this request. This 3D visualization adds a third dimension to the 2D arrangement of data items, where the extent of the third dimension is commensurate with the type and value of the data items. This 3D visualization includes an initial depiction of the dataset which is generated from a point of view that is specified by this request. The initial depiction of the dataset is then displayed on a display device of the system in lieu of the dataset itself.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Described herein are transgenic soybean chromosomes containing a recombinant DNA that transcribes to an RNA molecule that hybridizes to and forms a cleavage-resistant duplex with either a mature miR171 miRNA or a transcript of a target gene having a recognition site for a mature miR171 miRNA whereby the function of the miR171 miRNA is inhibited and thereby imparts enhanced agronomic traits to soybean plants such as increased pods per node, increased number of nodes, a decreased distance between nodes, and a twisted stem.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing policies on social networking activity. The technology can store a content policy, classify content posted to a social network, determine that the classification corresponds to the content policy, and apply an action specified by the content policy to the posted content.

Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.

Abstract: Described herein are transgenic soybean chromosomes containing a recombinant DNA that transcribes to an RNA molecule that hybridizes to and forms a cleavage-resistant duplex with either a mature miR171 miRNA or a transcript of a target gene having a recognition site for a mature miR171 miRNA whereby the function of the miR171 miRNA is inhibited and thereby imparts enhanced agronomic traits to soybean plants such as increased pods per node, increased number of nodes, a decreased distance between nodes, and a twisted stem.

Abstract: A system is provided that allows a user to visualize data. A dataset that includes a plurality of data items arranged in a two-dimensional (2D) format is received. A request to visualize the dataset in three dimensions is then received. A three-dimensional (3D) visualization of the dataset is then generated based on this request. This 3D visualization adds a third dimension to the 2D arrangement of data items, where the extent of the third dimension is commensurate with the type and value of the data items. This 3D visualization includes an initial depiction of the dataset which is generated from a point of view that is specified by this request. The initial depiction of the dataset is then displayed on a display device of the system in lieu of the dataset itself.

Abstract: A system is provided that allows a user to visualize data. A dataset that includes a plurality of data items arranged in a two-dimensional (2D) format is received. A request to visualize the dataset in three dimensions is then received. A three-dimensional (3D) visualization of the dataset is then generated based on this request. This 3D visualization adds a third dimension to the 2D arrangement of data items, where the extent of the third dimension is commensurate with the type and value of the data items. This 3D visualization includes an initial depiction of the dataset which is generated from a point of view that is specified by this request. The initial depiction of the dataset is then displayed on a display device of the system in lieu of the dataset itself.