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Embodiments of the present application provide information processing and model training methods, apparatuses, electronic devices and storage mediums. The method includes: obtaining to-be-processed pop-up information sent to an electronic device; inputting the to-be-processed pop-up information into a pop-up management model; wherein the pop-up management model is a model that is constructed based on a deep neural network and configured for determining whether the input pop-up information is pop-up information that is of interest to a user; wherein the pop-up information that is of interest to the user is information whose degree of attention is greater than a threshold; if an output result of the pop-up management model is information indicating that the to-be-processed pop-up information is the pop-up information that is of interest to the user, sending the to-be-processed pop-up information to an electronic device, so that the electronic device displays the to-be-processed pop-up information through a pop-up function. With the embodiments of the present application, the problem that the electronic device displays a large amount of pop-up information that is not of interest to a user is solved, and thus the user experience is improved.