Abstract: Methods, systems, and media for review content traffic are provided. In accordance with some embodiments of the present invention, a method, implemented on a processor, for reviewing advertisement placement on webpages is provided.

Abstract: Methods, systems, and media for dynamically detecting mobile environment information are provided.

Abstract: Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics are provided. In some embodiments, the method comprises: receiving conversion information corresponding to test group including consumers that were presented with an advertisement using an advertising channel; receiving advertisement viewability information indicative of a probability that each of the consumers viewed the advertisement; determining that a subset of the consumers did not view the advertisement based on the probability; placing the consumers into a control group and a test group based on the probability corresponding to each of the consumers; calculating a causal conversion metric based on a comparison of the conversion information corresponding to consumers of the control group and conversion information corresponding to consumers of the test group; and determining whether to place an advertisement using the advertising channel based on the causal conversion metric.

Abstract: Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics are provided.

Abstract: Systems, methods, and media for detecting suspicious activity in connection with advertisement impressions are provided.

Abstract: Methods, systems, and media for identifying automatically refreshed advertisements are provided. In some embodiments, a method for modifying advertisement spending is provided, the method comprising: receiving advertisement delivery information associated with a plurality of advertisements displayed on a web page; generating a distribution of an amount of time that the plurality of advertisements were displayed on the web page using the advertisement delivery information; identifying a deviation in the generated distribution; determining whether the deviation correlates to an automatic refresh command performed by one or more browser applications; and providing an indication corresponding to the plurality of advertisements that were displayed on the web page in response to the automatic refresh command based on the determination.

Abstract: Systems, methods, and media for correlating information corresponding to multiple related frames on a web page are provided. In some embodiments, a method for identifying corresponding iframes on a web page to a server is provided, the method comprising: loading a web page including a plurality of iframes; receiving the requested content and identifying information for a first iframe; loading an event listener; determining a location of the first iframe in the structure of the web page; transmitting a message to a second iframe including the first identifying information and location of the first iframe; receiving, using the event listener, a message from the second iframe including second identifying information and location of the second iframe; determining that the second iframe is nested within the first iframe; and transmitting a third message to a server including at least the second identifying information and location of the second iframe.

Abstract: Systems and methods for evaluating online videos. One method includes receiving a URL; determining a URL type; detecting whether the URL includes one or more videos; determining at least one of a size of the video, a position of the video on a web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; computing a score based on one or more of the size of the video, the position of the video on the web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; obtaining at least two frames of at least part of the video, wherein each frame is obtained at one or more predetermined intervals during playback of the video; and classifying each detected video based on the at least two frames.

Abstract: Systems and methods for evaluating online videos. One method includes receiving a URL; determining a URL type; detecting whether the URL includes one or more videos; determining at least one of a size of the video, a position of the video on a web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; computing a score based on one or more of the size of the video, the position of the video on the web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; obtaining at least two frames of at least part of the video, wherein each frame is obtained at one or more predetermined intervals during playback of the video; and classifying each detected video based on the at least two frames.

Abstract: Systems and methods for evaluating online videos. One method includes receiving a URL; determining a URL type; detecting whether the URL includes one or more videos; determining at least one of a size of the video, a position of the video on a web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; computing a score based on one or more of the size of the video, the position of the video on the web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; obtaining at least two frames of at least part of the video, wherein each frame is obtained at one or more predetermined intervals during playback of the video; and classifying each detected video based on the at least two frames.

Abstract: Methods, systems, and media for identifying errors in predictive models using annotators are provided. In some embodiments, a method for evaluating predictive models in classification systems is provided, the method comprising: causing an input region to be presented to a user, where the input region receives an instance from the user that corresponds to a predictive model; retrieving a classification conducted by the predictive model for the received instance and a confidence value associated with the classification; determining whether the received instance has been incorrectly classified by the predictive model; determining a reward associated with the incorrect classification made by the predictive model in response to determining that the received instance has been incorrectly classified by the predictive model, where the reward is based on the confidence value associated with the classification of the received instance; and providing the reward to the user.

Abstract: Methods, systems, and media for review content traffic are provided. In accordance with some embodiments of the present invention, a method, implemented on a processor, for reviewing advertisement placement on webpages is provided.

Abstract: Systems, methods, and media for rating websites for safe advertising are provided. In accordance with some embodiments of the disclosed subject matter, the method comprises: extracting one or more features from a piece of web content; applying a plurality of statistical models to the extracted features to generate a plurality of ordinomial estimates, wherein each ordinomial estimate represents a probability that the web content is a member of one of a plurality of severity groups; determining a posterior ordinomial estimate for the web content by combining the plurality of ordinomial estimates; generating a risk rating that encodes severity and confidence based on the determined posterior ordinomial estimate, wherein the risk rating identifies whether the web content is likely to contain objectionable content of a given category; and providing the risk rating for determining whether an advertisement should be associated with the web content.

Abstract: Content management systems, methods, and media using an application level firewall are provided.