{"id":2708,"date":"2014-01-20T12:30:35","date_gmt":"2014-01-20T17:30:35","guid":{"rendered":"http:\/\/me-en.kaspersky.com\/blog\/?p=2708"},"modified":"2020-02-26T18:58:09","modified_gmt":"2020-02-26T14:58:09","slug":"a-day-in-the-life-of-a-content-analyst","status":"publish","type":"post","link":"https:\/\/me-en.kaspersky.com\/blog\/a-day-in-the-life-of-a-content-analyst\/2708\/","title":{"rendered":"A Day In The Life Of A Content Analyst"},"content":{"rendered":"

There is a position at Kaspersky Lab that exists that is officially named \u2018content analyst\u2019. To put it simply, the content analyst\u2019s task is to create content filter databases, which are, in turn, used in our products. The filters are included in the security solutions both for end users and corporate clients. A module responsible for content filtering is called Parental Control<\/a>, for the first group of users, and Web Control<\/a>, for the second group. \u00a0By using the tools implemented in Parental Control, parents are able to restrict the access of their children to inappropriate websites. In order to apply these filters, the security company has to know which category each site falls into and what kind of content is stored there. This is where our databases come along.<\/p>\n

\"content\"<\/a><\/p>\n

Apparently, filling in the filter databases manually is not possible. According to Google, the Internet now contains approximately 15 billion web pages, which is why a majority of the scanning is performed by robots. They analyze the Internet content using our KSN<\/a> cloud and automatically deliver the verdict on each web site. The decision made in the cloud is used in our mobile security solutions (including Safe Browser<\/a> for iOS), and, of course, the rest of our products use them to power the components of the content filtration.\u00a0 The analyst\u2019s task is to teach robots to correctly categorize the content on the Internet. A robot has to evaluate keywords and combinations on a Web page, housekeeping data, as well as images, and carry out decisions whether the content on the page falls within a certain category. For example, if the web site code contains combinations like \u2018watch porn online\u2019, \u2018free porn\u2019 or a large number of flesh-colored images and alike, a robot would categorize that given resource as \u2018Pornography and erotic\u2019 based on a set of criteria.<\/p>\n

The analysts\u2019 task is to teach robots to correctly categorize content from the Internet<\/div>\n

As a part of their job responsibilities, web analysts at times have to scan \u2018inappropriate content\u2019. We work with many content categories, including a number of highly dangerous ones:<\/p>\n