I tried using the beta version of 'Echo Chamber Visualization System' that can visualize how much biased information I am touching on Twitter



Social media such as Twitter and Facebook tend to connect with people who have similar values, so it's easy to get consent to your opinion, and from there you get the illusion that your opinion is the opinion of society as a whole. It may end up. This

is called the 'echo chamber phenomenon ', and it is a system that can visualize how much you are in the echo chamber phenomenon, that is, 'how much you are exposed to biased information on social media'. ' Echo chamber visualization system ' has appeared.

I made a system to visualize how long I am in the echo chamber | tori | note
https://note.com/torix/n/ncaeb83af595d

The echo chamber visualization system analyzes tweets flowing on the Twitter timeline and determines how biased it is compared to the entire Twitter. The echo chamber visualization system is in beta at the time of article creation, and the only social media supported is Twitter.

Echo chamber visualization system beta version
https://torilab.sakura.ne.jp/twitter/echamber/



It's easy to use, access the top page and click 'Login to Twitter'.



Enter your Twitter account information and click 'Login'.



Click 'Echo Chamber Visualization'.



The following is displayed on this screen.

Account information and usage data used for echo chamber visualization



Timeline Echo Chamber Degree shows the Echo Chamber Degree for your Twitter account. The average echo chamber degree is '3.41', and the echo chamber degree of GIGAZINE is '5.49', so it seems that the echo chamber rate will be the top 1%.



'Timeline community' where topics that users on the timeline are interested in are text-mined and visualized



You can check the types of tweets on the timeline in 'Breakdown of tweets on the timeline'.



'Timeline Occupancy Distribution' shows the percentage of each user occupying the timeline.



'Follow-related echo chamber degree' analyzes the echo chamber degree of followers of your Twitter account. In addition, since the average echo chamber degree of followers is '3.05', in the case of the following image, it means that you have a follower with a slightly high echo chamber degree.



It is also possible to analyze the partisanship of followers.



At the end, you'll see a list of users who appear frequently on the timeline.



For those who say, 'I use different accounts for specific genres and works such as anime, manga, and games,' it is inevitable that the degree of echo chamber will be high, so 'My Twitter account is of this type. It is good to help you understand that 'tweets will flow'.

The echo chamber visualization system was created by computational social scientist Fujio Toriumi . If you are interested, please check the note for his explanation of the echo chamber visualization system.

in Review,   Software,   Web Service, Posted by logu_ii