Mainly relying on screening to remove questionnaires with too short answering time.adding tracking parameters to the questionnaire Special Database links, and monitoring whether users answer the questions seriously. The solution of Tencent's questionnaire is to try to use AI technology as a second insurance. On the one hand, Tencent Questionnaire is developing a program to automatically identify and mark invalid questionnaires (response indiscriminately, answering in disguise). By tracking the time distribution of users' Special Database answering behaviors in the whole process, combined with AI technology, the user behavior sequence is used for screening.
So as to ensure the validity of the returned questionnaires and improve the quality of the samples. On the other hand, establish a credit mechanism for the members Special Database of the answering group, through the combined calculation of a member's multiple answering behaviors, judge the credit status of the member, and gradually clean the dishonest and false users out of the answering group. 04 Higher questionnaire efficiency In order to expose salesmen, experts, reporters or advertising writers to "deceive" with research results, and in Special Database the popular statistics book "Statistics Lie", which has been popular around the world for more than 60 years, the author lists 8 of the most common statistics in daily statistics.
In a misleading way, it started with a report in 1949. According to the report, "Yale graduates in the class of 1924 earned an average annual income of $25,111." This was a Special Database lot of income at the time, and it naturally created a feeling of sending children to Yale to reach the pinnacle of life. But the fact is that after 25 years, only a small number of people can get in touch, and many of these people will not answer the questionnaires that involve Special Database privacy. The statistical sample is naturally biased. This reflects that it is difficult for research to strike a balance between efficiency and quality.