A Study On Internet Content Rating Mechanism

• Main Authors: Yu-Hsiu Chuang, 莊育秀
• Other Authors: Tzong-Chen Wu
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/6u58ua

碩士 === 國立臺灣科技大學 === 資訊管理系 === 94 === Most of the countries have agreed with the infrastructure and the establishment of the ratings of the IP network as to provide necessary safety and protection for each individual network user. According to the statistics, there are approximately 14.75 millions of people who often access internet in Taiwan. It is around 65.07% of the total population. Amount them 1.96 million, which consists 59.8%, of the users are estimate aging at 12. It is obviously seen to be a highly networklized country. Under the provider of such networking convenience there is a contrarily negative influence aroused especially for those underage users. For solving those network using issues, Taiwan government has made ‘the rating management rules of the content of the networks’ required and monitored by the folks and the people organ, and began to implement since October 25, 1994. At the time, ‘Taiwan internet rating promotion foundation’ has been established to execute and promote the network content rating system. However, up to now the implement results are not so apparently under all his efforts. No matter measuring from the number of website rating tag to show its rating attribute or the total of network user to download and install of relative rating filtration, etc. it presents a big room can be improved on this. The study has gathered the fundamentals of internet content rating system along with the document analysis to construct the 4 main modules for laying out the internet content rating systems. The action plan organization and deliberation intelligence, feasible rating definition of the internet content, the execution procedure of the this rating system, the info system of the user’s interface which has filter or rating ability’s web explorer. Then by based on these four main packages and current information technology construct various feasible network content rating system service models. Via SWOT analysis, not only all constructed service models’ strength, weakness, opportunity and threaten can be come out, but also can sum up the suitable quantitative indicators for models comparison. Rating tag model currently be promoted by Taiwan government will be the one to do comparison with constructed models; from the comparison, the reason and phenomenon of why it is not so successful can be found accordantly. In order to obtain most objective factors in this research; except SWOT analysis, a network user survey is conducted by using questionnaire or interview; and obtained the Support (S) , Identification (I) , Convenience (C) are the Critical Successful Factor ( CSF) on implementation network content rating system, This research is called ' SIC ' method. By further analysis on the co-relation of three networks content rating service models with those CSFs and found that the relevant cooperation factors and conditions are insufficient to be the main unsuccessful causes on current network content rating tag system. So this research contributes the suggestions to insure the implementation of network content rating system successfully: (1) a promoting strategy of inducing by niche or benefit but not control, (2) adjust approaching ways of existing rating tag system, (3) development stipulate network rating standard and prove network differentiated control filter systematic mechanism, (4) build up a system to prevent the improper message database by a just group ( Public service edition), (5) induce network runner to include the network content rating system in the service (6) set up a continually feedback system to collecting, tracking and analyzing the implementation results, etc. Those will provide valuable reference for existing policy and beneficial of promoting network content rating system in the near future.