Data Diagrams to Structure our Concept
Creating an ERD (Entity-Relationship-Data Diagram) is one way of representing the whole picture of a concept in one, data-packed overview.
It helps with crystalizing ideas and conceptualizing them. Built with the most important entities with their attributes, and showing the relations and connections between different entities, it also provides with a rough data-base outline.
At the time of initializing our concept, February 13th, ours looked like the following.
Back then, the goal was already clear: to demonstrate how differently people see the world. As we were still scoping the project, we hadn’t made our minds yet on what type of content to focus on, or from whose point of view we’d look at the topic. Our initial ideas derived from our own experiences of platforms that we’d used frequently, such as Google and it’s (forced) accounts, Facebook or Instagram.
Our starting point was based on the intuition – or, misunderstanding…depends on whom you ask – that Google’s search results would be based on the account that one has to create in order to use the Giant.
However, as we were looking for ways to get access to this type of data, we discovered two crucial things:
Search results are based on
#1 Your previous browsing history.
#2 Your location.
Thus, even if we’d create a few accounts with different demographics, the differences wouldn’t likely be too different – even if we’d had gone for fake IP addresses.
We iterated on the topic, and pondered everything from creating several Instagram profiles to scraping Google search results with automated scripts. (Which the serach engine doesn’t like, and if suspicious behavior occurs, oftentimes blocks.)
Our current approach could be illustrated with the following:
Narrowing down to only news and content that’s (supposed to be) informative, we’re to bring the concpet closer to the users by mimicing real-life personas in the project’s pre-made profiles. Each of them will then have a customized newsfeed, which the user can then compare.