
The scourge of the 'woke right'
- Bias Rating
20% Somewhat Conservative
- Reliability
75% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-61% Negative
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
-1% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
59% : The difference with this form of wokeness, though, is that it now has state backing.42% : As the linguist and author of Woke Racism, John McWhorter, has written: "It went from referring to those who possess leftist political awareness to those who believe anyone who lacks that enlightenment should be punished, shunned or ridiculed.
41% : Ryan Selkis, former CEO of crypto research company Messari and fellow Trump fanatic, posted a whole thread on the "new woke pope", digging up old posts and reposts such as one on carbon emissions ("climate alarmist"!) and another that prayed for George Floyd and his family ("suicidal empathy"!).
38% : How could a word we normally use to describe what Trump might call "the radical left" be associated with the very people who back him?
33% : And while the left were keen to "defund the police", Trump is defunding the academy, pulling billions from Harvard under the guise of fighting antisemitism.
27% : It came from Laura Loomer, a prominent rightwing activist, conspiracy theorist and unofficial adviser to Donald Trump, in the form of a three-word reply to a 10-year-old post on Pope Leo XIV's now deleted personal X account: "WOKE MARXIST POPE".
26% : After Trump signed an executive order called "Restoring Freedom of Speech and Ending Federal Censorship", his administration proceeded to do the opposite, sending out lists of words that were not to be used by federal agencies, including "climate crisis" and "women".
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.