Abstract:
Audience migration information can include information about audience members who tuned to, or away from, a station at particular times, and can suggest a rate of change in the average number of audience members over a first time period, and a rate of change in the number of audience members over a second period. Normalized audience migration information, which can indicate a difference between the two rates of change can be generated and used as one of multiple graph plots. The normalized audience migration information can be generated at a server, at a networked computer running a browser, or the like. A graphical user interface (GUI) can be used to display a graphical representation of the audience migration information. Additional panes tied to the content displayed in the graphical representation can also be displayed in the GUI.
Abstract:
An end user can sample a radio or television broadcast, generate a user representation of the broadcast sample, and send the user representation to a comparison system, which also receives known representations of content broadcast by multiple different stations. The known representations are stored in a continuous fashion, and represent actually broadcast content. The comparison system identifies the source of the broadcast sample by comparing the user representation to the known representations associated with each of the different stations. By comparing two representations of content that was actually broadcast, a broadcast source can be identified without requiring the use of watermarks, timestamps, or a database of discreet content items.
Abstract:
Content from multiple different stations can be divided into segments based on time. Matched segments associated with each station can be identified by comparing content included in a first segment associated with a first station, to content included in a second segment associated with a second station. Syndicated content can be identified and tagged based, at least in part, on a relationship between sequences of matched segments on different stations. Various embodiments also include identifying main sequences associated with each station under consideration, removing some of the main sequences, and consolidating remaining main sequences based on various threshold criteria.
Abstract:
An end user can sample a radio or television broadcast, generate a user representation of the broadcast sample, and send the user representation to a comparison system, which also receives known representations of content broadcast by multiple different stations. The known representations are stored in a continuous fashion, and represent actually broadcast content. The comparison system identifies the source of the broadcast sample by comparing the user representation to the known representations associated with each of the different stations. By comparing two representations of content that was actually broadcast, a broadcast source can be identified without requiring the use of watermarks, timestamps, or a database of discreet content items.
Abstract:
Listening information indicating a number of audience members who switched stations during each of the designated periods of time is displayed on a graph having a plot representing the listening information. The graph is divided into an upper portion and a lower portion about a normalized line representing an average number of audience members who listened during designated periods of time. Additional plots can also be presented, including plots arranged so that portions above the normalized line represent a greater than average number of listeners, and portions below the normalized line represent a lower than average number of listeners.
Abstract:
Audience response to broadcast content can be gauged by determining how many audience members switched stations while particular programs were broadcast. Data indicating audience members' media consumption can be analyzed to determine the number of times audience members tuned to a station or tuned away from the station. Data related to media content broadcast on particular stations can be analyzed to determine what content was being broadcast at times corresponding to the times audience members switched stations. Performance factors can be assigned to particular programs based on this analysis. Determining how many audience members switched during any one program may include retrieving event records, each of which can represent an audience member that was tuned to a particular media station during a time a particular program was being aired.
Abstract:
Audience migration information can include information about audience members who tuned to, or away from, a station at particular times, and can suggest a rate of change in the average number of audience members over a first time period, and a rate of change in the number of audience members over a second period. Normalized audience migration information, which can indicate a difference between the two rates of change can be generated and used as one of multiple graph plots. The normalized audience migration information can be generated at a server, at a networked computer running a browser, or the like. A graphical user interface (GUI) can be used to display a graphical representation of the audience migration information. Additional panes tied to the content displayed in the graphical representation can also be displayed in the GUI.
Abstract:
Content from multiple different stations can be divided into segments based on time. Matched segments associated with each station can be identified by comparing content included in a first segment associated with a first station, to content included in a second segment associated with a second station. Syndicated content can be identified and tagged based, at least in part, on a relationship between sequences of matched segments on different stations. Various embodiments also include identifying main sequences associated with each station under consideration, removing some of the main sequences, and consolidating remaining main sequences based on various threshold criteria.
Abstract:
Listening information indicating a number of audience members who switched stations during each of the designated periods of time is displayed on a graph having a plot representing the listening information. The graph is divided into an upper portion and a lower portion about a normalized line representing an average number of audience members who listened during designated periods of time. Additional plots can also be presented, including plots arranged so that portions above the normalized line represent a greater than average number of listeners, and portions below the normalized line represent a lower than average number of listeners.