In the growing age of technology companies find different ways to track and monitor user behavior on social media sites as well as other mobile sites. The databases held by these large enterprises increase every day and hold valuable information about the consumers of their products. This collected data is called big data. Big data gives these companies insight into the habits, behavior and even the location of the user allowing for more effective marketing strategies to target these specific audiences. VGI (Volunteered Geographic Information) is a form of big data that the user agrees to allow the company to have access to in order to track their consumption habits.
However, not all consumers are on board with VGI. While collecting VGI is useful for the companies, many users disapprove and a good deal of mistrust is felt by these consumers. In addition to consumer mistrust, VGI is a problematic and unreliable data as a random population sample: Due to the lack of knowledge about the motives, conditions, contexts and socio-economic characteristics of the users, VGI datasets hardly allow for a reliable interpretation of who and what the analysis represents, let alone a generalization" (Fisher).
Ultimately, there is much to be developed and understood about VGI. Scholars propose that it is important to understand geo-media as a communicative process rather than simply information processing technology.
Fischer, F. (2012, April 1). VGI as Big Data. A New but Delicate Geographic Data-Source. Retrieved February 13, 2017.
http://www.academia.edu/1505065/VGI_as_Big_Data._A_New_but_Delicate_Geographic_Data-Source
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| Tourist density and flows calculated by Flikr (app) database. |
However, not all consumers are on board with VGI. While collecting VGI is useful for the companies, many users disapprove and a good deal of mistrust is felt by these consumers. In addition to consumer mistrust, VGI is a problematic and unreliable data as a random population sample: Due to the lack of knowledge about the motives, conditions, contexts and socio-economic characteristics of the users, VGI datasets hardly allow for a reliable interpretation of who and what the analysis represents, let alone a generalization" (Fisher).
Ultimately, there is much to be developed and understood about VGI. Scholars propose that it is important to understand geo-media as a communicative process rather than simply information processing technology.
Fischer, F. (2012, April 1). VGI as Big Data. A New but Delicate Geographic Data-Source. Retrieved February 13, 2017.
http://www.academia.edu/1505065/VGI_as_Big_Data._A_New_but_Delicate_Geographic_Data-Source
أكثر...