This map represents the movement of Twitter users. These patterns can be studied to learn more about how information spreads in a geographical context.
The map above depicts tourist density. The information was gathered through a photo sharing website / application called Flickr.
While gathering information about users and consumers by collecting VGI can be useful, many individuals do not always approve of the data collecting that is done by third parties and as a result,
this gathering of data is also the cause of mistrust and irritation among users. In addition to mistrust, VGI is not a substitute for a random population sample. There is a lack of knowledge about the user outside of the fact that they are participating in this generation of information for a third party database. Due to this lack of knowledge about economic status, context and motives, it is difficult to make generalizations about the population who is contributing the data.
It has been determined that in order for this method of data collection to be effective, more emphasis must be placed on where the data is coming from and also the contextual conditions of the data. Also, it has been recommended that this practice be viewed as a communication between two participating parties, not just a sender-recipient partnership. As a result of this type of relationship, more in depth data will likely be more readily put forward because a relationship between company and user that contains more trust and communication will, in theory, yield more insight about the consumer to the company.
Fischer, F. (2012, April 1). VGI as Big Data. A New but Delicate Geographic Data-Source. Retrieved September 29, 2014.