International Business Times Article RatingMore Than $3.6B In Online Bets Are Riding On The Outcome Of The 2024 Election
- Bias Rating
10% Center
- Reliability
50% ReliableFair
- Policy Leaning
32% Somewhat Conservative
- Politician Portrayal
-34% 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
12% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
54% : All of the sites showed Trump with a predicted chance of winning between 64% and 67%.50% : On Thursday, Polymarket told the New York Times that an unidentified French national with "extensive trading experience and a financial services background" was behind four accounts that at the time had bet a total of about $28 million on Trump.
19% : The others were split 3-to-1 for Trump, whose leads were just 1 or 2 percentage points, well within the margins of error of the underlying polls.
*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.