Trending Data Demographics
First Claim
1. A method comprising:
- determining, by one or more computing devices, topics associated with content posted on one or more online content sources;
ascertaining, by the one or more computing devices, which of the topics are trending based on a number of times the content involves a topic; and
processing the content involving one or more of the topics that are trending to identify characteristics in the content, identification of the characteristics enabling the one or more computing devices to predict demographic data of users that posted the content involving the one or more topics that are trending, and the identification made by the one or more computing devices through a comparison of the characteristics in the content to posting characteristics attributed to one or more demographic segments of users.
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Abstract
Trending data demographics are described. In one or more implementations, content posted on online content sources is analyzed to determine topics associated with the posted content. Analysis is then performed to ascertain which of those topics in the posted content are trending. A determination as to which of the topics are trending may be based on a number of times the posted content involves a topic. For the topics that are trending, demographic data of the users that posted about those topics is collected. In some cases, demographic data may be assigned to users that posted about the topics that are trending. Based on the collected and assigned demographic data, a prediction is made to predict segments of users that are likely to find the trending topics interesting. Targeted content may then be provided to the segments of users that are likely to find the trending topics interesting.
46 Citations
20 Claims
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1. A method comprising:
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determining, by one or more computing devices, topics associated with content posted on one or more online content sources; ascertaining, by the one or more computing devices, which of the topics are trending based on a number of times the content involves a topic; and processing the content involving one or more of the topics that are trending to identify characteristics in the content, identification of the characteristics enabling the one or more computing devices to predict demographic data of users that posted the content involving the one or more topics that are trending, and the identification made by the one or more computing devices through a comparison of the characteristics in the content to posting characteristics attributed to one or more demographic segments of users. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method comprising:
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attributing, by one or more computing devices, characteristics that are exhibited in content posted on one or more online content sources to one or more segments of users that posted the content, the users being segmented according to demographic data collected from the one or more online content sources; ascertaining, by the one or more computing devices, topics that are trending in the content posted on the one or more online content sources; and processing the content involving a trending topic to identify posting characteristics in the content, identification of the posting characteristics enabling the one or more computing devices to assign, to at least one of the users that posted about the trending topic, the demographic data associated with one or more of the segments of users based, in part, on a determination made by the one or more computing devices that the posting characteristics of the content posted by the at least one user map to the characteristics attributed to the one or more segments of users. - View Dependent Claims (14, 15, 16, 17)
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18. A system comprising:
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at least one processor; and a memory configured to store program instructions that are executable by the at least one processor to perform operations comprising; predicting one or more segments of users that are likely to be interested in a topic that is trending in content posted to one or more online content sources, each of the segments representing users having respective demographic data, and the one or more segments that are likely to be interested in the topic that is trending being predicted based on the demographic data of users that posted about the topic that is trending, including; collecting, for one or more of the users that posted about the topic that is trending, the demographic data from user accounts at the one or more online content sources corresponding to the one or more users; and assigning, to one or more of the users that posted about the topic that is trending and for which the demographic data is not collected, the demographic data based on identifying that the content posted by those users exhibits characteristics attributed to the one or more segments in a mapping of posting characteristics to demographic segments. - View Dependent Claims (19, 20)
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Specification