\u201cData voids are a security vulnerability that must be systematically, intentionally, and thoughtfully managed.\u201d<\/p>\n\n\n\n
When talking about data voids, people often forget that there are different kind of information and most importantly the process of getting information. Search engines, for example, use another strategy compared to social media platforms. Search engines like Google or similar have lots and lots of data, but people\u2019s approaches to search engines typically begin with a query or question in an effort to seek new information. However, not all search queries are equal. So, if you’re searching for a term like “ironing”, you’ll most certainly get some adds and some organically produced output (SEO), but nothing about “extrem ironing” (although it is quite fun to look at these pictures). In comparison to that social media, where users primarily consume an algorithmically curated feed of information. When there is not enough, too little or no data at all about a certain topic it is called a data void. When search engines have little natural content to return for a particular query, they are more likely to return low quality and problematic content. As already mentioned before, bad or low quality content ist harmful to our society. <\/p>\n\n\n\n
According to datasociety.net there are five types of data voids in play:<\/p>\n\n\n\n
<\/p>\n\n\n\n
So how can we fill these voids with qualitativ data?<\/strong><\/p>\n\n\n\n The biggest problem with these newly occurring data voids is the enormous speed in which they are spread and some of them are spread through apps like WhatsApp or Telegram. So the main problem is how can we know if there is a data void in development. In the following video it is explained why fast response to search engines most searched questions with fact checking is so important.<\/p>\n\n\n\n