An example apparatus disclosed herein includes means for collecting demographic data of a user, including a phone number for a mobile device, via a website associated with an information gathering entity, the demographic data collected via the website from a personal computer, separate from the mobile device, used to access the website. The disclosed example apparatus also includes means for sending a message to the mobile device, the sent message, when responded to, resulting in downloading of a metering software module to the mobile device. The disclosed example apparatus further includes means for receiving, from the mobile device and at a system associated with the information gathering entity, information indicative of events associated with use of the mobile device, and means for associating the received information with the demographic data.

An example apparatus disclosed herein includes means for collecting demographic data of a user, including a phone number for a mobile device, via a website associated with an information gathering entity, the demographic data collected via the website from a personal computer, separate from the mobile device, used to access the website. The disclosed example apparatus also includes means for sending a message to the mobile device, the sent message, when responded to, resulting in downloading of a metering software module to the mobile device. The disclosed example apparatus further includes means for receiving, from the mobile device and at a system associated with the information gathering entity, information indicative of events associated with use of the mobile device, and means for associating the received information with the demographic data.

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.

Systems and methods for a media guidance application that adjusts output parameters of media assets delivered to output devices based on user preferences of users near the output devices. For example, the media guidance application may adjust the volume to be higher at a speaker near a first user who enjoys a particular media asset and lower at a speaker near a second user who dislikes the media asset.

Systems and methods for a media guidance application that adjusts output parameters of media assets delivered to output devices based on user preferences of users near the output devices. For example, the media guidance application may adjust the volume to be higher at a speaker near a first user who enjoys a particular media asset and lower at a speaker near a second user who dislikes the media asset.

Methods and apparatus to detect spillover are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: identify a quantity of first durations of loudness in an audio signal of media; calculate a ratio of the quantity of the first durations of loudness to a quantity of second durations of loudness in the audio signal of the media, the quantity of the second durations of loudness including the quantity of the first durations of loudness; and in response to a detection of the audio signal being spillover, store data denoting the media as un-usable to credit a media exposure when the ratio does not satisfy a loudness ratio threshold, the storing of the data to improve an accuracy of media exposure credits by not crediting spillover media.

Methods and apparatus to detect spillover are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: identify a quantity of first durations of loudness in an audio signal of media; calculate a ratio of the quantity of the first durations of loudness to a quantity of second durations of loudness in the audio signal of the media, the quantity of the second durations of loudness including the quantity of the first durations of loudness; and in response to a detection of the audio signal being spillover, store data denoting the media as un-usable to credit a media exposure when the ratio does not satisfy a loudness ratio threshold, the storing of the data to improve an accuracy of media exposure credits by not crediting spillover media.

A computer-implemented method includes: identifying, by a computing device, one or more participants associated with a live streaming video, wherein the one or more participants are co-located; monitoring, by the computing device, behavior of each of the one or more participants, wherein the monitoring comprises monitoring sensor data associated with the one or more participants; automatically determining, by the computing device, respective reactions of each of the one or more participants based on the monitoring the behavior; and providing, by the computing device, respective visual representations of the respective reactions of each of the one or more participants for display within a user interface that is presenting the live streaming video.

Systems and methods for a media guidance application that adjusts output parameters of media assets delivered to output devices based on user preferences of users near the output devices. For example, the media guidance application may adjust the volume to be higher at a speaker near a first user who enjoys a particular media asset and lower at a speaker near a second user who dislikes the media asset.

Systems and methods for a media guidance application that adjusts output parameters of media assets delivered to output devices based on user preferences of users near the output devices. For example, the media guidance application may adjust the volume to be higher at a speaker near a first user who enjoys a particular media asset and lower at a speaker near a second user who dislikes the media asset.