We have released Bobble, a Chrome extension to help users visualize how their search results are being personalized. The filter bubble is a concept developed by Internet activist Eli Pariser to describe a phenomenon where websites use algorithms to predict what information a user may like to see based on the user’s location, search history, etc. As a result, a website may only show information which agrees with the user’s viewpoints. One such example is Google’s personalized search results. To “pop” the bubbles created by Google search (also called de-personalization), we have developed Bobble, a Chrome extension that uses hundreds of nodes to distribute a user’s Google search queries worldwide each time the user performs a Google search.