
Goldman Sachs says Harris has a slight edge over Trump but it all comes down to Georgia
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
46% Medium Right
- Politician Portrayal
37% Positive
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Bias Score Analysis
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% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
67% : When President Joe Biden was still in the race, Trump seemed to be cruising to victory.61% : Data from prediction markets -- which measure betting activity, rather than surveying voters -- that showed Trump narrowly pulling ahead for the first time since July, according to Goldman's note.
51% : In other words, Goldman believes Harris can become president by winning either Georgia or Pennsylvania, while Trump would need both to win the White House.
49% : Harris took Biden's place in mid-July, and closed the polling gap with Trump before finally overtaking him in August.
48% : As Harris and Trump teeter between frontrunner and underdog on a regular basis, one thing remains clear: The race is extraordinarily tight.
40% : "After Harris surged in August, Trump appears to be making slight gains nationally and in the tipping-point state in September," wrote Goldman analysts Alec Phillips and Tim Krupa.
37% : The bank's estimates currently have Pennsylvania's 19 electoral votes going to Harris and North Carolina's 16 going to Trump.
29% : Polling guru Nate Silver had Trump edging out Harris in Georgia by just 0.2% of the vote.
15% : The latest New York Times/Siena poll released Monday similarly found that Trump was clawing back the lead he lost this summer, but had Harris ahead in swing states Georgia and North Carolina.
*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.