China Working To Undermine Midterm Elections, Cybersecurity Group Says
- Bias Rating
68% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
68% Medium Conservative
- Politician Portrayal
-62% 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
N/A
- 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:
45% : China, Russia, Iran sowing dissent ahead of midterm electionsCommunist China is behind a massive online disinformation campaign aimed at undermining the upcoming U.S. midterm elections, according to findings by a cybersecurity group.43% : China's latest efforts to undermine the American democratic process come amid parallel attempts by Russia and Iran to interfere with the upcoming elections.
36% : Like the efforts helmed by Russia and Iran, China wants to sow doubts about "the efficacy of voting and of U.S. government institutions more broadly," according to Mandiant.
35% :John Hultquist, head of threat intelligence for Mandiant, said in a statement that while Russia and Iran are more aggressive in their efforts to undermine U.S. elections, "what's troubling [about the CCP groups is] their aggressive growth."
*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.