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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Content categorization Quality Assurance at zvelo

How does zvelo provide the most accurate content categorization service and the best URL database available? The approach is two-fold and while a substantial chunk of the workload is handled by zvelo’s line-up of machine learning and artificial intelligence-based categorization processes and systems, the quality assurance and other daily efforts put forth by its human Web Analysts can never be discounted.

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Content Categorization of a Dynamic Website

Static HTML websites are becoming increasingly rare, and nowadays sites pack quite the punch. We’ve grown accustomed to photo and video slideshows, widgets, feeds, social network integrations, and other dynamic elements. Websites come overloaded with media, are more interactive, and the content can vary dramatically from page-to-page and can differ even more between end-users or browsing sessions. Much of the content is pulled in dynamically from external sources and most of us fuel the Internet’s growth by creating and uploading content of our own daily and at extremely high upload rates. Making sense of it all can be quite the challenge for technology vendors “needing to know” and following are insights into zvelo’s content categorization approach.

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Experiment Raises Online Privacy Eyebrow

People don’t seem to worry much about privacy when “checking in” to a favorite local restaurant or coffee shop, or from other social media posts that reveal one’s location. What if you were approached by a complete stranger who knew your name and other personally indefinable information within minutes after making an upload? A few socialites got quite the shock after a social media experiment revealed how much personal information can be extracted from publicly viewable status updates.

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Government Web Filtering in the UK

In mid-2013, British Prime Minister, David Cameron, began a push to block pornographic material on the Web in UK households. Under the new legislation, porn would be filtered by default and citizens would have to opt-in to view such adult content. Enforcement of such an ambitious initiative comes with many content categorization and technical challenges, not just in the UK, but within any internet service provider infrastructure.

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