Twitter Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.Anti-spam check. Do not fill this in! === Algorithm === On October 21, 2021, report based on a "long-running, massive-scale randomized experiment" that analyzed "millions of tweets sent between 1 April and 15 August 2020", found that Twitter's [[machine learning]] [[recommendation algorithm]] amplified right-leaning politics on personalized user Home timelines.<ref name="Huszár_20211021">{{Cite journal |last1=Huszár |first1=Ferenc |last2=Ktena |first2=Sofia Ira |last3=O'Brien |first3=Conor |last4=Belli |first4=Luca |last5=Schlaikjer |first5=Andrew |last6=Hardt |first6=Moritz |date=October 21, 2021 |title=Algorithmic Amplification of Politics on Twitter |url=https://cdn.cms-twdigitalassets.com/content/dam/blog-twitter/official/en_us/company/2021/rml/Algorithmic-Amplification-of-Politics-on-Twitter.pdf |journal=Proceedings of the National Academy of Sciences |volume=119 |issue=1 |pages=27 |arxiv=2110.11010 |doi=10.1073/pnas.2025334119 |pmc=8740571 |pmid=34934011 |archive-url=https://web.archive.org/web/20211022224400/https://cdn.cms-twdigitalassets.com/content/dam/blog-twitter/official/en_us/company/2021/rml/Algorithmic-Amplification-of-Politics-on-Twitter.pdf |archive-date=October 22, 2021 |access-date=October 23, 2021|doi-access=free }}</ref>{{rp|1}}<ref name="BBC_20211022">{{Cite news |date=October 22, 2021 |title=Twitter's algorithm favours right-leaning politics, research finds |work=BBC News |url=https://www.bbc.com/news/technology-59011271 |access-date=October 23, 2021 |archive-date=October 29, 2021 |archive-url=https://web.archive.org/web/20211029142358/https://www.bbc.com/news/technology-59011271 |url-status=live }}</ref> The report compared seven countries with active Twitter users where data was available—Germany, Canada, the United Kingdom, Japan, France, and Spain—and examined Tweets "from major political groups and politicians".<ref name="Huszár_20211021" />{{rp|4}} Researchers used the 2019 Chapel Hill Expert Survey (CHESDATA) to position parties on political ideology within each country.<ref name="Huszár_20211021" />{{rp|4}} The "machine learning algorithms"—introduced by Twitter in 2016—personalized 99% of users' feeds by displaying Tweets—even older Tweets and Retweets from accounts the user had not directly followed—but that the algorithm had "deemed relevant" to the users' past preferences.<ref name="Huszár_20211021" />{{rp|4}} Twitter randomly chose 1% of users whose Home timelines displayed content in reverse-chronological order from users they directly followed.<ref name="Huszár_20211021" />{{rp|2}} Summary: Please note that all contributions to Christianpedia may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here. You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see Christianpedia:Copyrights for details). Do not submit copyrighted work without permission! Cancel Editing help (opens in new window) Discuss this page