Q4 2023 Cigna Group Earnings Call
- Bias Rating
-58% Very Liberal
- Reliability
N/AN/A
- Policy Leaning
-58% Very Liberal
- Politician Portrayal
N/A
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Center
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Conservative
-100%
Liberal
100%
Conservative
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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
26% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "Point two is, very importantly, we've been quite deliberate now for several years, working to expand the service portfolio and the value proposition within Evernorth for health plan partners as it relates to their government services, be it Medicare, be it duals, be it Medicaid, et cetera." | Positive | 34% Conservative |
| "Additionally, we're expanding the reach of Evernorth's portfolio and see significant continued growth opportunities in Government services, including Medicare." | Positive | 24% Conservative |
| "And obviously, you talked about how you've invested a lot in Medicare, so that should free up capital to invest in other businesses." | Positive | 6% Conservative |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
67% : Point two is, very importantly, we've been quite deliberate now for several years, working to expand the service portfolio and the value proposition within Evernorth for health plan partners as it relates to their government services, be it Medicare, be it duals, be it Medicaid, et cetera.62% : Additionally, we're expanding the reach of Evernorth's portfolio and see significant continued growth opportunities in Government services, including Medicare.
53% : And obviously, you talked about how you've invested a lot in Medicare, so that should free up capital to invest in other businesses.
*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.