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Archive for the website categorization Category

Fake News: Understanding the Problem and the Challenge with its Classification

  With the recent, polarizing U.S. Presidential election, the topic of fake news has come up often. The national conversation about it is usually centered around two topics:  how much it has influenced and continues to influence the political opinions of Americans who frequent social media, and […]

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Full Path URL Content Classification

Given the dynamic nature of the majority of today’s websites, categorization at the full path URL versus the base domain is superior and now required. Parts of a website include the top-level domain (.com, .org, etc.), the base domain (example.com), sub-domain (subdomain.example.com) or sub-path (example.com/page). When categorizing content, it is highly important to recognize exactly what is being classified within a website because content can differ dramatically across full path URLs.

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Website categorization and URL Parameters

What is a URL parameter? Quite simply it is a string of characters, or a query string, that is appended to a URL that contains data. This data is passed to predefined web applications to find the appropriate content and return it back to the user’s web browser which then generates the entire web page. The query string can also be used for various other methods such as identifying a user’s session or using it as a way to look up information about your online bank account after you have logged in. URLs with parameters are used by various types of web sites however online shopping, auction, and banking type sites are probably the most prevalent.

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Using Keyword Density for Website Categorization

Manually classifying the content on a single web page takes but a few seconds to accomplish. Analyzing the keywords – words or phrases – used and the number of instances of each – keyword density – is one way to go about it. When needing to classify the content on billions of web pages at a time, however, the task becomes overwhelmingly daunting for any human eye to handle. In this scenario, only an automated content classification engine can succeed.

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Detecting & Categorizing Websites that Promote Self-Harm

zvelo has received many requests from its technology partners who are in the web filtering and parental control sectors to institute and support a new category that can be used to identify websites that promote self-harm behaviors. As a result of such demand, a new “Self Harm” category has been added to the zveloDB® URL database.

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Spam Web Page Trends – Lifestyle and Social Top Targeted Content Types

In early 2013, zvelo deployed a new approach to detect spam web pages. These web pages have little value and consist mostly of meaningless content and links, sometimes objectionable in nature, or worse yet they can be used to host and spread malware. Spam web pages continue to sprout online and following are some interesting trends about the types of web content spammers are targeting, which zveloLABS has mapped out.

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Spam Web Page Detection – a New Approach

Web spam is the bombardment of mostly unsolicited advertising messages or links sent across a wide array of media, including social networking websites, instant messaging applications, online newsgroups or forums, mobile phones, and blogs. Web spam has even been found stuffed within the results pages of popular search engines like Google. While the majority of web spam is benign, certain campaigns are tied to particular types of web pages disguised to contain valuable information. In actuality, these spam web pages are often littered with irrelevant and meaningless content, sometimes inappropriate in nature, or worse yet they can be used to host and spread malware.

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Use of Web Anonymizers to Hide Illegal Online Activity on the Rise

The recent crackdown on well-known Torrent services, aided by Internet Service Providers, has led to the increasing use of anonymizers. As the name implies, anonymizers allow for anonymous web browsing and are used by end users to bypass restrictions or blocks to web content. Anonymizers are proxy services, or “proxies,” that receive and execute web requests on behalf of the user, making online activity untraceable. It is the untraceable aspect of anonymizers that has caught the attention of the underground community.

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Dynamic Website Categorization, 2013

Anatomy of a Dynamic Website Of the hundreds of billions of URL queries zvelo has received for website categorization in 2013, an estimated 27% have been classified as being dynamic (see image 1). Dynamic categories in this data sample included Social Networking, News, Search Engines, Personal Pages […]

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