Examining algorithmic amplification of political content on Twitter
As we shared earlier this year, we believe it’s critical to study the effects of machine learning (ML) on the public conversation and share our findings publicly.
Hasnain says:
This is some great research (need to read the paper in full) and I hope other studies like this are able to proceed to study the impact of recommendation algorithms on human behavior.
“In six out of seven countries — all but Germany — Tweets posted by accounts from the political right receive more algorithmic amplification than the political left when studied as a group.
Right-leaning news outlets, as defined by the independent organizations listed above, see greater algorithmic amplification on Twitter compared to left-leaning news outlets. However, as highlighted in the paper, these third-party ratings make their own, independent classifications and as such the results of analysis may vary depending on which source is used.”
Posted on 2021-10-21T22:10:36+0000