10 Tips To Make Office Politics Work For You

Source: Forbes - View Original Article
Published: Jan 21, 2020
Category:
Bias Rating:

92% Liberal


Bias Score Calculation:


Policies:

Welfare
Socialized Healthcare
Travel Ban
Eminent Domain
Universal Healthcare

Sentiments

95% "You might hear that someone is struggling with the same issues at work that you are. · Communication style matters: Wisdom suggested paying attention to ..."
87% "Who has influence? · Details and tones of voice: Both in meetings and conversations you are involved in and those you overhear, listen to both ..."
83% "· Focus on what matters: Know and focus on achieving your goals and helping your boss achieve their goals.""
81% "Know who just doesn't like your group...and know who is always going to help you and you can count on.""
79% "The role of politics is enormous in women's advancement, she emphasized.""


*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

Extremely
Liberal

Very
Liberal

Moderate-left

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Moderate-right

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Conservative

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Conservative

100%

100%

Contributing sentiments towards policy:

95% : You might hear that someone is struggling with the same issues at work that you are. · Communication style matters: Wisdom suggested paying attention to who hangs out with who, and who speaks sharply to who.
87% : Who has influence? · Details and tones of voice: Both in meetings and conversations you are involved in and those you overhear, listen to both words and inference.
83% : · Focus on what matters: Know and focus on achieving your goals and helping your boss achieve their goals.
81% : Know who just doesn't like your group...and know who is always going to help you and you can count on.
79% : The role of politics is "enormous in women's advancement," she emphasized.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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