Study On The Dynamic Evolution Of The Quality Of Entries In Encyclopedia

The convenience of the Internet era makes it faster and more convenient for people to acquire knowledge.While enjoying a lot of information brought by the Internet,people also suffer from the difficulty of judging the authenticity of information.Network encyclopedias are typical of them.There are a large number of low-quality entries in online encyclopedias.Some entries can only be composed of a few random Chinese characters.These entries are often edited only once,and the accuracy of their content cannot be verified.Although online encyclopedia administrators have taken some measures to improve the quality of entries,the quality of most entries is still not high.If the problem of uneven entries is not properly solved,it will not only affect the user experience,but even seriously hinder the continuous development of online encyclopedia.This article aims at the problem of uneven entry quality in the Internet encyclopedia,researches the entry quality issue,and starts from the entry quality evolution aspect to explore the evolution rule of entry quality.Based on the analysis of a large amount of data,this study uses the time series clustering analysis method to study the evolution law of the quality of online encyclopedia entries from a dynamic perspective.In this paper,we first select the number of edits and the number of editors from the editing process to characterize the quality of the entry,use the cumulative edits and number of editors at each time point to map the quality of the entry on the time axis,and use the time series method.Establish entry quality evolution model.Next,we selected Baidu Encyclopedia as the data source,and used a systematic sampling method to collect a total of 274,848 entries in two groups,and established a dynamic evolution model of entry quality for each entry,followed by 2468 days as the observation period,using equal length In the time period,the observation period is divided into 11 time periods for clustering experiments.Finally,through a descriptive analysis of these representative terms,the quality evolution rule of the terms under dynamic evolution conditions is explored.The research results show that improving the quality of online encyclopedia entries is a long process and requires a long editing process.During the evolution of entry quality,the increase in the quality of low-quality entries has a non-stop feature.Many entries will not be edited after being edited for a period of time,and their quality will no longer change.Some entries will In the future,it will continue to be edited to improve the quality.The quality of some entries will not be increased at all.On the contrary,the quality of high-quality entries can continue to increase.The quality increase is generally divided into two types.The quality of another type of entry is increasing steadily.The rate of quality growth is increasing in the early stage,reaching the maximum in the medium stage,and continuing to slow down in the later stage.The work of this paper theoretically reveals the dynamic evolution law of the quality of online encyclopedia entries,enriches the research on the quality of online encyclopedia entries,summarizes the quality evolution rules of different quality entries,and proposes improvements in the concluding part.Suggestions on the quality of terms,such as suggesting that web encyclopedia platform managers improve the term recommendation system,increase the exposure of low-quality terms,improve the criteria for creating terms,and formulate guidelines and policies for term editing;suggest that researchers should introduce the time factor from Use dynamic angles to distinguish entry quality and establish entry quality evaluation indicators.