Trump says it could be worth keeping TikTok in US for a little while
- Bias Rating
2% Center
- Reliability
65% ReliableFair
- Policy Leaning
22% Somewhat Conservative
- Politician Portrayal
-11% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
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
38% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
72% : Trump said at a news conference the same day that he had a "warm spot" for TikTok thanks to his campaign's success on the app.57% : "I think we're going to have to start thinking because, you know, we did go on TikTok, and we had a great response with billions of views, billions and billions of views," Trump told the crowd at AmericaFest, an annual gathering organized by conservative group Turning Point.
57% : Trump met with TikTok's CEO on Monday.
25% : It is unclear how Trump would go about undoing the TikTok divestiture order, which passed overwhelmingly in the Senate.
22% : But if the court does not rule in ByteDance's favor and no divestment occurs, the app could be effectively banned in the United States on Jan. 19, one day before Trump takes office.
*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.