7 takeaways from Kamala Harris's CNN town hall
- Bias Rating
50% Medium Conservative
- Reliability
65% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-19% 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
7% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
41% : "Let's start with this: America's immigration system is broken and it needs to be fixed," Harris began, before pivoting to her support for a bipartisan border bill scuttled by Trump in early 2024.39% : Hosted by Anderson Cooper, the town hall, a stand-in event for what would have been the second presidential debate of the 2024 campaign had Trump not declined to participate, featured questions from undecided voters and offered some of the least scripted exchanges of the campaign.
38% : "Harris then pivoted back to Trump.
33% : "Cooper asked Harris what she would say to voters who still support Trump, despite the testimonials from former members of his administration.
24% : "Cooper then brought up Harris's past support for Medicare for All and the view that border crossings should be decriminalized: "Are all of those issues that you're saying -- through consensus and getting stuff done -- you have evolved on?""Let's take for example the issue of Medicare.
18% : Asked by an Independent, undecided voter who was to blame, Biden or Trump, for the spike in inflation, and what she would do to bring grocery prices down, Harris started by acknowledging that "the price of groceries is still too high.
2% : "Cooper later followed up by referencing Gen. Mark Milley's assertion that Trump is "fascist to the core," and asked Harris if she believed Trump "is a fascist.
*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.