Tunisia's designated PM vows to tackle economic, social ills

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

83% Conservative


Bias Score Calculation:


Policies:

Private Healthcare
Competitive Capitalism
Eminent Domain
Welfare
Common Core

Sentiments

74% "Tunisia needs to borrow about $3 billion internationally in 2020 to meet spending commitments, and faces strong pressure from international lenders to cut spending.""
66% "Addressing Fakhfakh in published comments, Saied said: Remember the martyrs.""
62% "We will focus all our forces on raising the priority challenges, social and economic, and strengthening democracy, he added.""
53% "We will work... to establish the conditions for a fair and strong state, a state that will reward weaker regions and weaker neighborhoods and ..."


*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

Neutral

Moderate-right

Very
Conservative

Extremely
Conservative

100%

100%

Contributing sentiments towards policy:

74% : Tunisia needs to borrow about $3 billion internationally in 2020 to meet spending commitments, and faces strong pressure from international lenders to cut spending.
66% : Addressing Fakhfakh in published comments, Saied said: "Remember the martyrs.
62% : President Kais Saied named the former finance and tourism minister as his choice for premier on Monday, giving him a month to form a government that can win majority support in the deeply fragmented parliament.
62% : "We will focus all our forces on raising the priority challenges, social and economic, and strengthening democracy," he added.
53% : "We will work... to establish the conditions for a fair and strong state, a state that will reward weaker regions and weaker neighborhoods and end decades of poverty and marginalization," he said.

*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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