User:DrPronoun/Algorithmic radicalization/SeenaBerkeley Peer Review

General info

 * Whose work are you reviewing?  DrPronoun
 * Link to draft you're reviewing
 * https://en.wikipedia.org/wiki/User:DrPronoun/Algorithmic_radicalization?veaction=edit&preload=Template%3ADashboard.wikiedu.org_draft_template
 * Link to the current version of the article (if it exists)
 * Algorithmic radicalization

Evaluate the drafted changes

 * Is the content added relevant to the topic?
 * Most of the content is relevant, however, I am a little hesitant to recommend the "self-radicilization" section, as I am confused about the relevance.
 * Is the content added up-to-date?
 * Yes, all the content is recent and relevant.
 * Is there content that is missing or content that does not belong?
 * Again, I'm confused about the self-radicalization, but besides that all content seems to belong in the article.
 * Is the content added neutral?
 * All the content seems to be presented with NPOV, but could also be targeted heavily against tech-companies, failing to present any information regarding their rebuttals.
 * Is all new content backed up by a reliable secondary source of information?
 * Yes, all the sources provided are reliable.
 * Are the sources current?
 * Yes, all the sources are current (within past 10 years)
 * Has the content added improved the overall quality of the article - i.e. Is the article more complete?
 * Yes, the article will be greatly improved once these edits are included.
 * What are the strengths of the content added?
 * The content really excels when talking about current-day applications/solutions to the issue of algorithmic radicalization
 * How can the content added be improved?
 * Possibly including more information regarding the comments of big-tech in regards to this issue.