DNC hopes to highlight success ahead of post-election meeting
- Bias Rating
10% Center
- Reliability
40% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-5% 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
52% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
59% : Trump, Harrison said, had emerged as a "cultural" figure over the course of nine years who was able to put together an expansive coalition.43% : What did we do in order not to have it go full circle?""I don't know if we need to find our own Joe Rogan [the influential podcaster who interviewed then endorsed Trump days before the election], and I've heard that from a number of folks, but I think we need to make sure that we're in in all those spaces," he added of whether Democrats need to expand their media strategy in traditional and non-traditional outlets.
41% : "These investments yielded results and underscore the importance of continued state party investment..."The memo marks the first public, thorough dissection by the DNC of the election results, in which Vice President Kamala Harris lost to Trump and Republicans flipped the Senate and kept the House of Representatives.
37% : Harrison specifically writes that despite the disappointments, Trump was kept below 50% in the popular vote (he still won it), Democrats held Senate seats in states Trump won and cut into Republicans' House margin, and the party was successful in breaking some GOP state legislative majorities and holding on in certain chambers, including its one-seat majority in the Pennsylvania state House.
*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.