Bibliography (18):

1. Users choose to engage with more partisan news than they are exposed to on Google Search

2. Echo chambers, filter bubbles, and polarization: a literature review

3. Adapting the Selective Exposure Perspective to Algorithmically Governed Platforms: The Case of Google Search

4. Does Fake News Create Echo Chambers?

5. Missing Links: A comparison of search censorship in China

6. Do Users Want Platform Moderation or Individual Control? Examining the Role of Third-Person Effects and Free Speech Support in Shaping Moderation Preferences

7. Subscriptions and external links help drive resentful users to alternative and extremist YouTube videos

8. Echo Chambers, Rabbit Holes, and Algorithmic Bias: How YouTube Recommends Content to Real Users

9. The Impact of Aggregators on Internet News Consumption

10. Does digital advertising affect vote choice? Evidence from a randomized field experiment

11. COVID-19 increased censorship circumvention and access to sensitive topics in China

12. No Polarization From Partisan News: Over-Time Evidence From Trace Data

13. The Conditional Effects of Microtargeted Facebook Advertisements on Voter Turnout

14. Affective polarization in the digital age: Testing the direction of the relationship between social media and users’ feelings for out-group parties

15. Wikipedia Bibliography:

    1. Google

    2. https://en.wikipedia.org/wiki/Echo_chamber_(media)

       https://en.wikipedia.org/wiki/Echo_chamber_(media)

    3. https://en.wikipedia.org/wiki/Thematic_analysis

       https://en.wikipedia.org/wiki/Thematic_analysis

    4. Logistic regression