Editorial: Election denialism could spark violence after a close race
- Bias Rating
46% Medium Conservative
- Reliability
85% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-43% 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
-38% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
40% : It also could serve as a manifesto for the most extreme MAGA supporters if Trump narrowly loses the election.37% : And Trump, after much coaxing from a Wall Street Journal columnist to "clarify" his previous comments, told the newspaper's editorial board that he wouldn't use the military against his political opponents.
33% : On Monday, in response to a question at a news conference, Trump said he hadn't seen evidence of cheating -- though he ominously added: "Unfortunately, I know the other side, and they are not good.""The No. 1 variable that increases election violence is political leaders alleging election fraud," said Rachel Kleinfeld, a senior fellow in the Democracy, Conflict and Governance Program of the Carnegie Endowment for International Peace.
23% : Better late than never, Trump should stop sowing doubt about voting and put aside any thought of responding to a loss in a close election with spurious claims of fraud.
13% : Yet there is a more immediate danger from another feature of rhetoric coming from Trump, his running mate Sen. JD Vance and top Republican supporters: election denialism.
4% : After seeming to acknowledge that he lost to Joe Biden "by a whisker," Trump retreated to his old falsehoods about the 2020 election in his Sept. 10 debate with Vice President Kamala Harris.
*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.