Simulating public opinion in a game
The demonstration (in Russian) of a technical prototype of manipulating public opinion and explanation of how it works.
I continue participating in World Builders school. For the last month, I've created a technical prototype of game mechanics for manipulating public opinion.
You play as the chief editor of a news agency, who sends journalists on quests and publishes articles based on the results of investigations focusing on themes that you want to promote.
The top video is in Russian, so I'll go through the main points below.
Preferences of strategy players
Looking at the survey data and trying to find something useful.
Recently I've conducted a survey about the preferences of strategy players.
In the previous post, we cleaned up the data, and in this one, we will try to find insights within it.
In this post you will find an interactive dashboard with a bunch of charts, where you can compare two samples of your choice. There are many samples — for every taste and color, so feel free to explore and share the patterns you find on Telegram and Discord.
But be careful with conclusions. There is little data, in some cases very little. For example, the difference between the sample sizes of male and female respondents is about tenfold => you should be very careful in interpreting the differences between them.
In general, do not take this post as a full-fledged study. I'm sure many analysts would have torn my hands off for such a thing. Then sewed them back and torn them off again :-D Use the post as an interface to the data, and make your own conclusions.
Cleaning up the results of the strategy players survey
The survey was targeted at the fans of strategy games. It seems, I was able to find audience quite accurately.
Recently I asked you to fill in a survey about strategy games.
Thank you to everyone who took the time to do this. It's time to share the results.
363 respondents filled in the survey. 304 answers remained after data normalization and cleaning.
There will be two posts:
- This one — about the methodology of data collection and processing, and their cleaning. Cleaned data will be shared.
- The next one — about the analysis of the results.