1. A method, performed by a computing system, for identifying comparatively trending topics, comprising: receiving, by the server, as post parameters to an interface of the computing system, one or more parameters that distinguish social media postings; obtaining, by the server, over a network and based on the received post parameters, two groups of posts; generating, by the server, a first ranked list of topics for a first group of the two groups of posts by: identifying, by the server, as first group topics, topics from the first group of posts wherein members of the first group topics each comprise one or more words; and computing, by the server, a first rank score for each of the topics of the first group topics; generating, by the server, a second ranked list of topics for a second group of the two groups of posts by: identifying, by the server, as second group topics, topics from the second group of posts wherein members of the second group topics each comprise one or more words; and computing, by the server, a second rank score for each of the topics of the second group topics; associating, by the server, with a selected one of the first group topics from the first ranked list of topics, a difference score computed, by the computing system, as a difference between: the rank score for the selected one of the first group topics, and a corresponding rank score determined based on the second ranked list of topics; comparing, by the server, the difference score to a specified threshold; in response to determining that the difference score is above the specified threshold, identifying, by the server, the selected one of the first group topics as a comparatively trending topic.