Methods and apparatus to verify and/or correct media lineup information are disclosed. Disclosed example apparatus include a signature comparator to, when media presentation data representative of media output by a media device does not correspond to reference data associated with first reference media corresponding to a first station: identify a plurality of first signatures in a database that matches a plurality of second signatures included in the media presentation data, the plurality of first signatures including at least one of first audio signatures or first video signatures, the plurality of second signatures including at least one of second audio signatures or second video signatures generated from the media output by the media device; and determine second reference media corresponding to the plurality of first signatures; and memory to store the media presentation data.

Methods and apparatus to verify and/or correct media lineup information are disclosed. Disclosed example apparatus include a signature comparator to, when media presentation data representative of media output by a media device does not correspond to reference data associated with first reference media corresponding to a first station: identify a plurality of first signatures in a database that matches a plurality of second signatures included in the media presentation data, the plurality of first signatures including at least one of first audio signatures or first video signatures, the plurality of second signatures including at least one of second audio signatures or second video signatures generated from the media output by the media device; and determine second reference media corresponding to the plurality of first signatures; and memory to store the media presentation data.

There is provided an arrangement which is capable of reliably generating and transmitting viewing information with respect to contents received via a communication route other than terrestrial broadcasting waves. Contents in which a contents ID applicable to the generation of viewing information and viewing information-compatible data such as viewing information destination information or the like are recorded in an electronic watermark (WaterMark) or a sound data file are sent from a transmitting apparatus to a receiving apparatus. The receiving apparatus acquires the contents ID and the viewing information destination information, etc. from the electronic watermark (WM) or the sound data file, generates viewing information using the acquired data, and sends the generated viewing information to a designated address.

Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a processor and memory including instructions that, when executed, cause the processor to: determine an initial rating for the media provided in a first geographic area based on return path data (RPD) tuning information obtained from RPD devices in subscriber households in the first geographic area; determine a first panelist rating for the media provided in a second geographic area based on first panel tuning information obtained from first metering devices in a first subset of panelist households in the second geographic area; determine a nonsubscriber calibration factor based on the first panelist rating; and determine a final rating for the media in the first geographic area by modifying the initial rating based on the nonsubscriber calibration factor.

A system and method for generating analytics for entities depicted in multimedia content, including: identifying at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to a predetermined social pattern threshold, wherein each social linking score is generated based on contexts of at least one multimedia content element (MMCE) in which at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold; and generating, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.

A system and method for generating analytics for entities depicted in multimedia content, including: identifying at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to a predetermined social pattern threshold, wherein each social linking score is generated based on contexts of at least one multimedia content element (MMCE) in which at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold; and generating, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.

Aspects of the subject disclosure may include, for example, a method that includes obtaining metadata from media content and consumed by network subscribers; determining for each network subscriber a consumer context associated with the media content; and determining a media consumption pattern for each network subscriber based on the metadata and the consumer context, thereby generating a plurality of media consumption patterns. The method further includes aggregating the media consumption patterns; determining, based on the aggregated media consumption patterns, a media consumption trend for the network subscribers; and correlating the media consumption trend with a profile including a current activity for a network subscriber of the plurality of network subscribers, thereby generating a recommendation for the network subscriber regarding new media content not previously consumed by the network subscriber. The method also includes communicating the recommendation to the network subscriber. Other embodiments are disclosed.

There is provided a bounce rate measuring apparatus for a broadcasting service. The bounce rate measuring apparatus includes programs that are stored in memories and executed by processors. The programs include a first instruction for generating service provision information on provision of channels of broadcasting service; a second instruction for analyzing the service provision information to determine a first number based on the number of times that each channel is provided for a time period longer than or equal to a first threshold during a predetermined period and a second number based on the number of times that each channel is provided for a time period longer than or equal to the first threshold and shorter than or equal to a second threshold during the predetermined period; and a third instruction for extracting bounce rate information of each channel based on the first number and the second number.

A method may include receiving radio station data associated with multiple radio stations from one or more radio station providers and filtering the radio stations based at least in part on playback availability. Playback availability may include a broadcast right associated with the one or more radio station providers. The method may also include removing duplicate radio stations and supplying a searchable radio station directory to a platform or a client device.

Audience engagement is analyzed by receiving at least one analysis parameter comprising a content selection parameter, identifying one or more content based on the content selection parameter, determining viewership for the one or more content, determining one or more keywords for the one or more content based on the content, filtering social media messages based on the determined one or more keywords, and calculating an audience engagement measurement corresponding to the one or more content based on the viewership and the social media messages.