ReutersCryptoverse: U.S. election punters play the prediction markets
- Bias Rating
4% Center
- Reliability
70% ReliableGood
- Policy Leaning
14% Somewhat Conservative
- Politician Portrayal
3% Positive
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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
35% 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%
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Contributing sentiments towards policy:
55% : Trading volume on bets for Trump or Harris winning the presidency make up about $1.97 billion of the $3.1 billion in volume on Polymarket's presidential winner contract, the platform's data shows.44% : "Your average voter isn't spending time or money on prediction markets - those platforms are being dominated by crypto-native users, and those users are voting for Trump," said Michael Cahill, CEO of Web3-focused developer Douro Labs.
33% : Those sites respectively gave Trump about a 57%-43% and 51%-49% lead over Harris as of Monday, in contrast to neck-and neck opinion 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.