Abstract: A method includes: detecting, by a computing device, a copy action involving a social-meta-string (SMS) in a message; determining, by the computing device, a copy count of the SMS is greater than a count threshold; determining, by the computing device, a content score of the message is greater than a content threshold; determining, by the computing device, whether a fact check score of the message is greater than a fact check threshold; in response to the fact check score of the message being greater than the fact check threshold, permitting sending of the message; and in response to the fact check score of the message being less than the fact check threshold, blocking the sending of the message.

Abstract: An audio search system is configured to perform a native search of one or more audio input files in response to a search query. The audio search system is connected to a corpus of audio files representing words, syllables, and characters that may be found in an audio input file. The audio search system has a memory storing instructions and a processing device configured to execute the instructions to receive a search query for searching one or more audio input files, convert the search query into an audio search expression, identify one or more meta-tags in the audio search expression, select a machine learning model based on the one or more meta-tags, and use the machine learning model to search the one or more audio input files for segments of the audio input file that are results of the search query.

Abstract: An audio search system is configured to perform a native search of one or more audio input files in response to a search query. The audio search system is connected to a corpus of audio files representing words, syllables, and characters that may be found in an audio input file. The audio search system has a memory storing instructions and a processing device configured to execute the instructions to receive a search query for searching one or more audio input files, convert the search query into an audio search expression, identify one or more meta-tags in the audio search expression, select a machine learning model based on the one or more meta-tags, and use the machine learning model to search the one or more audio input files for segments of the audio input file that are results of the search query.