Trump will 'fully' investigate Iowa pollster who predicted him losing
- Bias Rating
42% Medium Conservative
- Reliability
25% ReliablePoor
- Policy Leaning
86% Very Conservative
- Politician Portrayal
-33% 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% Positive
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
46% : She knew exactly what she was doing,' Trump wrote.45% : But Trump went on to trounce the vice president by over +13 points in the Hawkeye State'Polling is a science of estimation, and science has a way of periodically humbling the scientist.
40% : She knew exactly what she was doing,' Trump wrote on Truth SocialTrump tore into the survey, calling Selzer a 'Trump hater' and insisting that Iowa's farmers 'love' him.
39% : At the time Trump charged that Selzer over-polled Democrats to make it look like Harris, the Democratic nominee, was in the lead.
20% : Despite easily winning the Hawkeye State, Trump posted on his Truth Social that he still plans to investigate Selzer, 68, over possible election fraud.
17% : Iowa had gone red for Trump in the last two election cycles after twice voting for Democratic President Barack Obama - and had not been considered to be a battleground state in 2024.
9% : But Trump went on to trounce the vice president by over +13 points in the Hawkeye State.President-elect Donald Trump is calling to 'fully investigate' Ann Selzer, the Iowa pollster who predicted him losing in heavily red state just days before November's election'A totally Fake poll that caused great distrust and uncertainty at a very critical time.
*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.