Taking a look at social networks we are very likely to talk about the positive effects and how we are linked to people around the world via a mouse click. We happily develop and expand our social network structure through private platforms like facebook or more formal ones like LinkedIn. Creating our own profile and sharing information is supposed to help to either stay in contact with friends or having an advantage to find a job through a network of employees online. But even through the structure of a social network can be considered as an advantage in many ways there of course exists a downside with possible negative side effects as well.
According to the article “Mind your facebook, 37% of Employers are watching”, the chance that a potentially hiring company will investigate your profile on a social network are higher than ever. Social medias and networks provide more information than the most people are aware of. Investigations have shown that companies pay attention whether the candidate sets up his or her profile on a professionally basis or not. It is shown that 51% of the companies are interested if the person fits in the companies culture, 51% want to know more about the qualification, 35% are looking for a well rounded individual and surprisingly only 12% are looking for reason why not to hire someone.
Since we have talked about social networks and the relationship information they provide we should also consider the data which can be found beside the simple linkages of nodes as well. As an example, not only the contacts (or nodes through edges) are connected in a social network, also friends linked together on a picture or a simple post of the current location can provide employers with information. Also a common foci can be indentified through such networks, which then can give further details of the social life and so on.
In general we can state that a social network is providing and collecting many information, not just reduced to the relationship among the users. That is why we should select our shared data very carefully, due to the fact that it contains more information than we usually expect at first thought and we never really know who is interested in our data as well.