Websites utilize users information in order to formulate algorithms which aim to provide the user with information that is relevant to their interests. They do so by analyzing choices which individuals make online including comments, likes and shares. From this data the algorithm will generate posts that are related to these topics. This is a beneficial concept for the purposes of business and filtering out “big data”. However, some worry that this impedes on personal privacy. A more in depth concern is that these filters and restrictions create bias when individuals begin to search for information or interests online. People may lose their ability to think critically about topics because they may only be able to see one side of a multidimensional topic.
For our second assignment, we decided to explore “big data” and “filter bubbles” further. Knowing and understanding how social media platforms use our patterns and behaviors online to tailor information and media to suit our interests we decided to conduct an experiment to support our final media piece. Using several different media sites, we manipulated our behaviors to see what content would appear. The results were interesting and what we had expected. We have each created personal blogs to address our findings and collectively we produced how-to educational videos to teach the public simple ways to increase their privacy and security within these respective sites. We hope this product will be beneficial for anyone interested in improving their online presence.