Web Filter Research Paper

Do you think schools should have web filters? In the last few years, kids were asked what they think of their schools having web filters. They all said different things such as schools should and should not have web filters. To be honest, I think web filters should not exist.

It was the early 2000s, and I would always ask my parents if I could use their desktop computer to do one task: surf the web. Sometimes they would let me, sometimes they will not; when they do, hype ensues. Through one Sony computer, I am about to enter a still-young digital world that seemed to have no limits. The Internet was continuing to grow in spite of the dot-com bubble. While I appreciated the overall potential computers had at the time, I saw the Internet as a big deal. This is not because it would bring us Google and Twitter, but because it was a neat way to play time-killing games in Cartoon Network, Nick, or Disney’s sites. However, the one annoying feature that many sites — especially those for entertainment — often suffered from

Internet censorship is the control or suppression of the publishing or accessing of information on the Internet. This can include blocking entire websites, blocking parts of certain websites, prohibiting certain search engine keywords, monitoring individual internet use, and punishing individuals for this use. On a smaller scale, companies censor access to certain websites to increase productivity in workers or decrease chances of a sexual harassment lawsuit. Parents may block certain website on their family computers in an attempt to maintain their child’s innocence. On a much larger scale, entire governments can censor or track the Internet use of its constituents.

Students are able to get on websites that should be blocked, but they aren’t able to get on sites they really need. Filters to block students are effective, but do they guarantee that effectiveness? Paul Resnick says, “Yes, with the right software tools you can selectively block access from some people.” But Lewis argues against this. He includes in his article that trying to keep a bunch of people from doing what they want is very difficult, which is why a lot of the websites are unblocked.

In modern society, it is not uncommon for people to have access to the internet. Whether one has access to the internet at home or at their local library, nearly everyone in this day and age

In 2013, President Obama made it his goal to connect 99% of schools to broadband internet in 5 years. This effort, however, is useless if students can’t actually use the internet to effectively research and study for school purposes. Many schools across the nation rely on webfilter companies to block “inappropriate” websites for them. These web filters are unnecessary. Schools should have unblocked internet and refrain from using filters because they don’t fulfill their job, they are easy to go around, and they are very stressful.

“Access Denied” - the same constant screen continues to pop up on a laptop for hours and hours as one rushes to finish a project that is due the next day. Since the topic they are researching is so-called “sensitive,” most of the information is blocked. However, there is no other choice. These problems, which many students have, are due to blocks put on computers, otherwise known as web filters. Web filters are systems where websites that are deemed “inappropriate” or “offensive” are restricted. Web filters are not efficient because they prevent students from getting information they need, as mentioned in the example above. Additionally, web filters are highly overpriced and can cost districts thousands of dollars. On the other hand, proponents

In a nutshell, the right approach is more about one of education and responsibility. Universities should carefully balance the benefits of filters and the need to protect students from inappropriate online content against the limitation of filtering. It’s not about whether you have a filter or not, it’s more like what degree do you filter and how do you filter it. Only by doing this, students can truly experience a full and fair

Netscape Analysis Report I. History Netscape Communications Corporation, originally named Mosaic Communications Corporation (MCOM) was founded in April 1994 by Jim Clark and Marc Andreessen. They released their first browser products free to Internet users in September 1994. Jim Clark is chairman of Netscape Communications Corporation. Before founding the company, Clark was the chairman of Silicon Graphics, a computer hardware manufacturer he founded in 1982. Marc Andreessen is vice president of technology for Netscape Communications.

On October 24, 2007, Councilmember Pete Constant asked for a policy that would install filters on library public access computers in order to reduce or eliminate children from viewing lewd material (Light, 2008). On April 21, 2009, City Council rejected spending the money for the technology required to implement the use of filters. The Council voted 7-3 to approve a reminder system for users, which would state exposing children to pornography is illegal (Woolfolk, 2009). Despite the rejection to use filters, in 2014 Jill Bourne revisited the idea by discussing how the filtering programs have evolved. Bourne planned to test two new programs, Websense and SquidGuard, which cost a fraction of what they would five years prior (Rodriguez, 2014).

In the world of Information Technology (IT), there are many areas and disciplinary of research available and Web Intelligence (WI) is one of the new sub disciplinary of Artificial Intelligence (AI) and Advanced IT. When AI and IT is implemented on web it defines WI. WI is used to develop web – empowered system, Wisdom Web, Web Mining, web site automation, etc. In this paper, detail discussion is done on Web Intelligence and its usefulness in developing intelligent web. Many literatures are also discussed related to the Web Intelligence and at the end challenges and problems faced during the research in the area is also mentioned. This paper will provide the pathway to the researcher who want to perform research in the field of Web Intelligence.

We implemented the methods proposed in sec- tion 3.1, 3.2 and 3.3 and made it available for a free use on our Regen Server. It can be accessed using the link: http://regen.informatics.iupui. edu:8080/WebForBVI/index.jsp. The user in- terface looks as shown in Figure 9.

These days, a large number of the individuals search for numerous things on the web. There has been a rapid increase in individuals using web search for looking their queries. So the web search tool ought to display the results what they are looking for or even the related information. Day by day the number of websites on different niches online is increased. In the already proposed algorithms, preference is given for the old web pages so there might be irrelevant search results for the keyword searched by the user. As these irrelevant search results displayed on front page, the user may be confused and click the web page link which has different niche information on it. Even new web pages may have useful information required by the user. But the already proposed algorithms mainly concentrate on the number of reference links the page having and the number of pages the page is referencing. PageRank algorithm and HITS algorithm are mainly based link analysis of the web. Sometimes the users may get the irrelevant search results for their queries. In this paper I demonstrate that it would be the improved algorithm if it satisfies the following. At first the query should be compared to category of results to which it belongs. After that, it should check for the

Abstract- Web is a collection of inter-related files on one or more web servers while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. The web data includes web pages, web links, objects on the web and web logs. Web mining is used to understand the customer behaviour, evaluate a particular website based on the information which is stored in web log files. Web mining is evaluated by using data mining techniques, namely classification, clustering, and association rules. It has some beneficial areas or applications such as Electronic commerce, E-learning, E-government, E-policies, E-democracy, Electronic business, security and crime investigation and digital library. Retrieving the required web page from the web efficiently and effectively becomes a challenging task because web is made up of unstructured data, which delivers the

The probability of the regulations premeditated to fiat the internet usage has been a matter of fierce debate around the world. Internet regulation