Calculation method of dissemination comprehensive influence of article on health we media

Abstract

The invention discloses a calculation method of dissemination comprehensive influence of an article on a health we media. The method comprises the steps of calculating a page view value of the article; calculating the sharing number of the article; calculating the like number of the article; calculating the comment quantity of the article; calculating the reward giving man-time of the article; calculating the collection number of the article; calculating a reading speed numerical value of the article for the first time; calculating the comprehensive influence of the article. Compared with a prior art, the calculation method of the dissemination comprehensive influence of the article on the health we media brings information such as audience identity, job titles, sharing ways into weight partition of statistical parameters and brings the reading speed for the first time into the statistical parameters, the audience reflection for health and medicine we media and contribution for content value assessment by different audience are evaluated more fully by the comprehensive influence obtained by final calculation of the calculation method, the value, popularity level and the like of contents can be more scientifically and truly reflected, and the evaluation on doctor's we media contents is facilitated from the market perspective.

Description

technical field [0001] The invention relates to a method for calculating the influence of media communication, and in particular to a method for calculating the comprehensive influence of article communication on health self-media. Background technique [0002] We Media (We Media), also known as "citizen media" or "personal media", refers to privatized, civilianized, generalized, and autonomous communicators who use modern and electronic means to communicate with unspecified majority Or a general term for new media that conveys normative and non-normative information by a specific individual. It has the characteristics of civilianization, personalization, low threshold, easy operation, strong interaction and fast dissemination. [0003] In recent years, with the development of web 2.0, self-media has gradually become the main way for people to express their emotions, disseminate information and obtain news. At the same time, more and more professional fields have also begu...

AI Technical Summary

Problems solved by technology

Therefore, regardless of the audience's occupational identity, professional ability, and professional title, evaluating the audience's feedback on a medical article, video, etc. according to a unified standard cannot truly reflect the value of the content

[0009] 2. There is no differential statistics on the sharing outside the platform

[0011] Since health and medical information and information have high requirements for the audience, there will inevitably be differences in the effects of dissemination on professional platforms and general platforms, and the focus and purpose of content shared with doctors and patients will also be different. In view of this , indiscriminately counting internal and external sharing of the platform or not counting external ones will lead to the inability to get the truest reflection of the value of content such as articles or videos

[0012] 3. There is no weight division for each statistical parameter

[0013] Some platforms currently evaluate health and medical information on the platform by simply counting parameters such as page views, number of comments, and number of likes, and then using one or more parameters to simply combine to evaluate the content, without evaluating each parameter. Weight division and finally calculate the comprehensive influence

Such an evaluation method is relatively one-sided. These parameters must reflect the influence of the content and the audience's evaluation of the content, but there will be some differences in their representativeness. Simple statistics or direct integration without weighting will be used by the audience. Influenced by many factors such as habits, it cannot objectively reflect the value of the content

Images