Twitter as an echo chamber

This is an interesting paper that was posted in Arxiv and I did a quick summary of this to highlight the fact that Twitter is NOT a learning source. There are better ways to go about it. It is a myth that it leads to better learning experience, but individual timelines are variable and difficult to apply.

[embeddoc url=”https://radoncnotescom.files.wordpress.com/2022/01/0b68e-twitter-echo.pdf”%5D

As usual, my summary here:

[embeddoc url=”https://radoncnotescom.files.wordpress.com/2022/01/69abb-echo_chambers_on_social_media_a_comparative_analysis.docx” viewer=”microsoft”]

Here’s an interesting takeaway from here:

The key takeaway is:

“We infer the leaning of users about controversial topics – ranging from vaccines to abortion – and reconstruct their interaction networks by analyzing different features, such as shared links domain, followed pages, follower relationship and commented posts. Our method quantifies the existence of echo-chambers along two main dimensions: homophily in the interaction networks and bias in the information diffusion toward likely-minded peers. We find peculiar differences across social media. Indeed, while Facebook and Twitter present clear-cut echo chambers in all the observed dataset, Reddit and Gab do not.”