Evaluating the force of Internet news is an important aspect in the social security field. This paper establishes a quantitative analysis model for calculating the Internet news force with information retrieval methods based on the correlative information got through information retrieval technologies. This method can help people understand how great the news affects the social security. A lot of experiments, lead to a conclusion: this method can rank a stream of news effectively, and also can find most important news items from a number of news which belong to different types; its result is very close to people’s judgment.