Exploring Cultural Moments With Google Arts and Culture

 

Have you ever wondered which came first, the chicken or the egg? This question has been around for a long time and depending on which source your want to believe it could be either or maybe even both. That's what makes it a great question, there might be more than right answer! This can lead to more questions! I Know I don't know the right answer and I hope I am not disappointing too much by telling you now that this is not what this post is about. If you are only interested in the chicken and the egg,  I think this site has the best answer I've read. Right or wrong? You get to decide. 

A new experiment from Google Art's and Culture is the reason why the chicken and the egg question entered my consciousness. I  think this experiment could serve as a quick digital brain break or maybe as a jumping off point for a research project. I also think the answers can lead to more questions for the curious at heart! Be sure to also explore the additional Arts and Culture Experiments linked at the end of this post.  


The "What Came First?" Google Arts and Culture Experiment is a game that challenges the player to to guess which of two cultural / historical events happened first. Points are rewarded based on how fast the correct answer is chosen. After each response the player can learn more about each of the events. The game ends when the player is wrong 3 times. 

Here is an overview of the experiment found on the "Experiments with Google" page.
Which is older? The white-domed Basilica of the Sacré-Cœur in Paris’ Montmartre district or the painting “The Yellow House” by Vincent van Gogh? Comparing seemingly unrelated facts can help us put things in perspective and think differently, which was the inspiration behind the game.

The rule is simple: the faster you correctly click on “what came first”, the higher your score! If you want to know more about the options presented, tap on an item to reveal further information. 

The dataset used in the experiment comes from the knowledge graph with a subset of more than 400 popular items. The dataset is split in 6 categories: visual arts, music, films, architecture, inventions, celebrities.

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