Cultural Data & Cultural Analytics- Aslıhan Yılmaz 190530063

Since the mid-2000s, global digital culture has entered a new phase that I call "media analytics". Computational analysis of multiple cultural artifacts, their online "life" and people's interactions with these artifacts and with each other has redefined the dynamics and mechanisms of culture. This type of analytics is now used by a large number of players – companies that manage social networks, NGOs that plan their outreach, millions of small businesses worldwide advertising online, or millions of people using social media and web analytics tools and dashboards to improve their online environment. If we want to analyze the intentions, ideology, and psychology of an author of a particular cultural artifact or experience, that author may not be a human, but some type of AI that uses a combination of data analysis, machine learning, and algorithmic generation. In fact, the difference between using computational methods and concepts to analyze cultural data today and twenty years ago is that these methods and concepts now drive the daily digital culture in which billions of people live. For example, I can use Google Analytics to understand how visitors interact with all the pages on my websites. It analyzes the purchases of millions of customers of companies such as Trendyol or Amazon, for example, to recommend books.