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Preliminary data highlights Serbia's key growth sectors in 2024

  • Bias Rating
  • Reliability

    5% ReliableLimited

  • Policy Leaning

    10% Center

  • Politician Portrayal

    N/A

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

Overall Sentiment

18% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

54% : Regarding by activities, in 2024 significant real growth of gross value added (GVA) was created in the section wholesale and retail trade and repair of motor vehicle - 6.2 percent, the section of manufacturing - 4.6 percent and the section of information and communication - 6.8 percent.
52% : Regarding by the aggregates of GDP use, the share of individual consumption expenditure of households equaled - 61.1 percent, individual consumption expenditure of government sector - 9.5 percent, collective consumption expenditure of government sector - 7.9 percent, gross fixed capital formation - 23.8 percent, exports of goods and services - 53.6 percent, and imports of goods and services - 58.1 percent.
47% : The real growth was noted for all aggregates of GDP use: the individual consumption expenditures of household sector - 5.2 percent, the individual consumption expenditure of general government - 3.0 percent, collective consumption expenditures of general government of - 5.2 percent, the individual consumption expenditure of non-profit institutions serving households (NPISH) - 6.7 percent, gross fixed capital formation - 7.7 percent, exports of goods and services - 5.2 percent and imports od goods and services - 8.0 percent.

*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.

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