Abstract: An online system receives an advertisement request (“ad request”) including an advertisement from a user and allows the user to create an alternative advertisement for the ad request comprising images presented in an order specified by the user. The online system may identify images from video data included in the ad request or from additional content associated with an object associated with the ad request. Based on selections of identified images by the user and an order in which to present the selected images from the user, the online system generates the alternative advertisement and associates the alternative advertisement with the ad request. One or more criteria are associated with the alternative advertisement, and the online system communicates the alternative advertisement to client devices having characteristics satisfying the criteria rather than video data in the advertisement.

Abstract: An online system uses classifiers to predict the socioeconomic group of users of the online system. The classifiers use models that are trained using features based on global information about a population of users such as demographic information, device ownership, internet usage, household data, and socioeconomic status. The global information can be aggregated from market research questionnaires and provided to the online system. The classifiers input information about a user and output a probability that the user belongs to a given socioeconomic group. The input information is based on a user profile on the online system associated with the user as well as actions performed by the user on the online system. Thus, the online system can predict the user's socioeconomic group without using the user's income information. The online system can generate content for presentation to the user based on the predicted socioeconomic group.

Abstract: An online system uses classifiers to predict the socioeconomic group of users of the online system. The classifiers use models that are trained using features based on global information about a population of users such as demographic information, device ownership, internet usage, household data, and socioeconomic status. The global information can be aggregated from market research questionnaires and provided to the online system. The classifiers input information about a user and output a probability that the user belongs to a given socioeconomic group. The input information is based on a user profile on the online system associated with the user as well as actions performed by the user on the online system. Thus, the online system can predict the user's socioeconomic group without using the user's income information. The online system can generate content for presentation to the user based on the predicted socioeconomic group.

Abstract: An online system receives an advertisement request (“ad request”) including an advertisement from a user and allows the user to create an alternative advertisement for the ad request comprising images presented in an order specified by the user. The online system may identify images from video data included in the ad request or from additional content associated with an object associated with the ad request. Based on selections of identified images by the user and an order in which to present the selected images from the user, the online system generates the alternative advertisement and associates the alternative advertisement with the ad request. One or more criteria are associated with the alternative advertisement, and the online system communicates the alternative advertisement to client devices having characteristics satisfying the criteria rather than video data in the advertisement.