2002 results about "Social media" patented technology

Methods, apparatuses, and computer-readable media for displaying one or more visualizations of quantitative measurements of the sentiment expressed among online social media participants concerning subject matter of interest in a category. Embodiments are configured for displaying how the sentiment among the online social media participants trends over time and how the sentiment trends with respect to social media source or groups of sources. Embodiments display the actionable information in a graphical interface in an intuitive and user-friendly manner at different levels of granularity that enables the quantified online social media content to be grouped and filtered in a variety of default and/or customizable ways.

A social media application for a media content providing platform for interaction and communication between and among audience members concerning the media content. The social media application includes a graphical user interface having a crowd representation section for providing a virtual crowd experience through visual representations of audience members attending the event. Accordingly, the social media application permits a user to review profile information associated with other audience members and communicate with audience members concerning the media content being displayed, in real-time. The social media application permits the media content provider to communicate with audience members, and to obtain information about the audience members.

Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.

A system and method for identifying a key influencer in a social media environment for enterprise marketing utilizing topic modeling and social diffusion analysis. A user interest profile can be generated by analyzing historical data stored in a database utilizing. A social graph can be generated and an influence measuring process based on the social graph data can be performed utilizing a static diffusion model and a dynamic diffusion model to calculate a set of key influencers. The dynamic diffusion model considers time stamp information to assess an impact of each user communication on the growth of a conversation within a time period. The key influencer can be identified in a specific topic area and a number of total users that can be reached via the influencer within a specific time window can be predicted.

According to a present invention embodiment, a system utilizes a voice tag to automatically tag one or more entities within a social media environment, and comprises a computer system including at least one processor. The system analyzes the voice tag to identify one or more entities, where the voice tag includes voice signals providing information pertaining to one or more entities. One or more characteristics of each identified entity are determined based on the information within the voice tag. One or more entities appropriate for tagging within the social media environment are determined based on the characteristics and user settings within the social media environment of the identified entities, and automatically tagged. Embodiments of the present invention further include a method and computer program product for utilizing a voice tag to automatically tag one or more entities within a social media environment in substantially the same manner described above.

Methods, systems and processor-readable media for extracting and classifying location information utilizing social media messages and/or data thereof. The social media messages can be sampled from a social media database and the messages filtered based on a heuristic rule. A geolocation entity from the unstructured social media messages can be extracted utilizing a geolocation entity extracting module. The messages with the geoentities can be uploaded onto a crowd sourcing platform to manually annotate the messages with a label. A text classification model can be built and learned from the label utilizing a machine learning algorithm and the messages can be classified by a location classifier in order to extract the user location. The user location can then be transformed into a geocode so that a spatial search can be enabled and the distance between the locations can be easily calculated.

Methods, systems and computer-readable storage mediums encoded with computer programs executed by one or more processors for providing social media branding are disclosed. A brand strategy construct including a markup tag, a destination platform, a media-type, and a media filter associated with the media-type is received. Posts to a social media platform (SMP) are monitored for media of the media-type associated with the markup tag. Media is extracted from the SMP upon a detection of media of the media-type associated with the markup tag in a post to the SMP. The media filter is applied to the extracted media to generate branded media. The branded media is provided to the destination platform.

An electronic cigarette includes a memory, a processor communicatively coupled to the memory and configured to run an electronic cigarette application stored in the memory, and an output circuit that transfers information from the electronic cigarette application to a remote electronic cigarette application separate from the electronic cigarette. An indicator such as an audible indicator and/or a visual indicator provides information, such as an indication that the electronic cigarette needs recharging or an indication to a user implementing a smoking cessation program. The remote electronic cigarette application can be a remote server-based application, a remote cloud-based application, and/or a mobile-device-based application. The remote electronic cigarette application shares transferred information with a social media account. An input circuit receives from the remote electronic cigarette application remote information and/or remote commands.

Methods, apparatuses, and computer-readable media for generating a social network graph to model one or more social networks of related authors of online social media and their corresponding posts of online social media conversations relevant to subject matter of interest in a category. Embodiments are configured to harvest and aggregate posts of online social media conversations from one or more online social media sources; to perform content scraping on the posts of online social media conversations to obtain raw data that includes user-profile information of a social media author corresponding to each individual post of online social media conversations; and performing social network analysis processing on the raw data to obtain the social network graph.

Embodiments of the invention provide techniques that quantize community interactions with social media to understand and influence consumer experiences.

A method and social media platform are provided for hosting social media. A virtual social venue is provided comprising a virtual three-dimensional representation of a structure and a virtual representation of a screen, billboard, window, or other viewing surface within the structure. The viewing surface is operable to host, run and display a widget previously operating within an internet browser.

Social media content items are mapped to relevant time-based media events. These mappings are used as the basis for calculating metrics based upon the mappings, and ratings of the time-based media there from. Audience response metrics (ARMs) are calculated from the mappings, which provide an indication of audience engagement or response. In addition, ARMs provide information about the virality, depth, and breadth of the response by the viewing audience. The calculated metrics are stored and are used to generate ratings for the time-based media. The ratings may be published in whole or in part, e.g., as part of a ratings system.

Systems and methods for delivering application media content to multiple social media systems (SMSs) for display to SMS members. The method includes the steps of providing initial application media content to respective SMSs. Once a respective SMS member interacts with the initial content, a social relationship management system (SRMS) receives indication from an SMS of such interaction, and retrieves a unique application media file relating to application media content. The unique application media file is then applied to an application media container file that overcomes certain formatting protocols and requirements of the SMS and enables transmission and delivery of the application media content to the SMS. The application media content is then delivered to the SMS member on the SMS through the application media container file.

Embodiments herein provide for an interactive event-scheduling platform (ESP), wherein locating activities via location data, notifying and alerting of them via real-time feeds and encouraging interaction through a full-service social media suite (SMS), enhanced with live streaming and “always-on” connectivity, could provide a fresh experience for users and hosts. A real-time data procuring system and method may solve problems with stale or incomplete activity data within a geographic area, bridge gaps between users and hosts by shortening time periods—from activity announcement, to discovery, to launch, to response—create buzz, maximize venue attendance, boost sales and ensure promotional success. Software crawlers may mine public Web sites for thorough activity data coverage. Stored activities, profiles and collected user interaction data may produce behavioral reports to increase ROMI. Security packages, installations and access controls may incite users to safely register themselves in the SMS to engage, interact and transact.

RingGuide is an organizational and social media methodology and system that enables new forms of distributed interfaces on any 2D or 3D class electronic device. The RingGuide comprises a hierarchy of Rings displaying on one or more of these devices. The Rings may contain Asset Cells representing a database record available in associated local or remote databases (a movie, video or graphical advertisement, TV show, metadata, etc.); Code Cells capable of executing specific functionality, such as search, “show by time”, a widget that displays realtime weather information or a separately launchable application such as an instant messaging client; Element Cells showing locally or remotely update-able user interface elements, and Link Cells that refer to sub-Rings that may be organized by genre, media owner brands, etc.

Devices, systems, and methods for allowing parents to view and track smart phone activities of their children can include one or more child software modules. The module can be installed on each child's smart phone. The module can access and extract data from or about more than one of the smart phone's other software applications, including at least two of the following: a texting application, a social media application, an image application that facilitates transmission or reception of images, and a web browser application. The module can further send the extracted data to an analysis server. The module can also monitor location data. Moreover, the system can include an analysis server that can identify potentially harmful language, images, and websites. Further, the system can include a parent portal. The parent portal can receive results from the analysis server.