Shark Tank's Kevin O'Leary sends strong message on Social Security
- Bias Rating
- Reliability
65% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
38% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
65% : Recognizing these factors, O'Leary offers further insights on Social Security benefits and ways to secure additional sources of retirement income.62% : Shark Tank's Kevin O'Leary warns Americans on Social Security monthly paychecks O'Leary takes note of the low average annual income retirees can expect from Social Security benefits.
59% : " Kevin O'Leary explains adding to Social Security benefits with more retirement income In order to become less dependent on Social Security monthly paychecks in retirement, O'Leary offers some financial goals.
55% : He emphasized the fact that Social Security alone isn't enough for a comfortable retirement -- and encouraged Americans to rethink their financial strategies.
52% : O'Leary explained how, for people who have waited longer than they should have to begin planning for retirement, they can still play some catch-up on their retirement income so they aren't primarily dependent on Social Security.
46% : Conversely, Roth IRAs require taxes to be paid upfront on contributions, granting retirees the advantage of tax-free withdrawals later in life.
40% : O'Leary underscores a critical reality: Social Security was never intended to serve as a retiree's sole financial lifeline.
*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.