Specter of possible 2016 repeat likely to haunt Democratic feast in Chicago
- Bias Rating
10% Center
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-8% 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% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
64% : The effort has so far been rewarded in the polls, with a recent Times-Siena survey showing Harris four points ahead of Trump in all three states.64% : That's true in any presidential cycle, but it is especially true when the opponent is Trump.
60% : "Trump won in 2016 and came desperately, horribly close to winning battleground states in 2020.
55% : The elephant in the arena will be the memory of what happened eight years ago to another female Democratic nominee who seemingly had the measure of Trump.
41% : By contrast, Harris speaks relatively little about her equally historic run as the first Black and Asian woman at the top of a major party presidential ticket, tending to lean more into her work as a "courtroom prosecutor" while reminding voters that Trump is a convicted felon.
31% : In 2016, the Clinton campaign largely bypassed Michigan, assuming her 5% poll lead in the state was unassailable; Trump went on to win there by 11,612 votes.
28% : In Trippi's analysis, Trump is a diminished candidate compared with his standing in 2016 and 2020.
24% : Thoughts of Clinton's shocking defeat to Trump are probably to be kept well in the background at this week's convention.
20% : Trump is also carrying much more political baggage than he did in either his two previous presidential races.
*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.