In our video, we use twitter to represent digital communities. When Alice has a downtime, she becomes a digital resident to gain acceptance from digital living. Social network builds a bridge to connect people from the whole world. it becomes possible to gain information about residents from different countries. With social network service, it become easier to find people sharing the similar interests. We could say that social communities make people open-minded and more connected. In our video, Alice is more comfortable to connect with her twitter friends, and finally she falls asleep with smile.
As big data is introduced, social network services apply this concept in their app to recommend related users and tweets. It is much easier to find interested contents in social network app. The recommendation feature does save the users many time to search for contents and meet similar friends, but it also narrows down the information users can collect. Before the eve of big data, people always perform searchings, and read different opinions frequently. After recommendation service is added, users can gather enough information from their homepage (from followers sharing similar opinions and auto-recommendations), and thus perform less searching behaviours. This phenomenon hides various information, and somehow restricts people’s thoughts.
People believe the information they want to view on social network is selected by theirselves; however, the fact is, those information is still controlled by algorithms. Still, we have no control over our digital livings.
Yining Wang 20614744

