Why the election might come down to a Trump campaign meltdown in Pennsylvania -- again
- Bias Rating
18% Somewhat Conservative
- Reliability
35% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-52% 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
-11% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
48% : Recognizing that his attacks on voting early and by mail actually hurt him in the end, Trump has changed tact this year and encouraged his supporters to do both.39% : Although Guliani is still dealing with the consequences of his 2020 post-election escapades, Trump has enlisted another powerful ally in his efforts to cast doubt on Pennsylvania's election results.
38% : Because mail-in ballots take longer to count, and because the Republican-controlled state legislature had blocked measures to begin processing those ballots before Election Day, Trump was always expected to take an early lead in vote counting.
36% : That could mean that the "red mirage" of 2020, where Trump took a huge lead on Election Day because most of his supporters voted in person, will be less of an issue.
35% : "Pennsylvania is cheating, and getting caught, at large scale levels rarely seen before," Trump baselessly posted on his Truth Social.
23% : Trump spent months before Election Day in 2020 spreading false conspiracy theories about the integrity of mail-in ballots, which were being used in record numbers by Democratic voters to vote safely during the pandemic.
19% : And as expected, Trump and his allies used this entirely anticipated shift to cry foul and fraud.
*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.