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businessday.ng Article Rating

Woodhall Capital, Afreximbank Partner to boost intra-African trade at Pre-Investor Forum - Businessday NG

  • Bias Rating
  • Reliability

    25% ReliableLimited

  • Policy Leaning

    -34% Somewhat Left

  • 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

38% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

61% : Woodhall Capital, in partnership with the Nigeria Governors' Forum (NGF), the Presidential Enabling Business Environment Council (PEBEC), the Office of the Senior Special Assistant to the President on International Cooperation (OSSAP-IC), and the African Export-Import Bank (Afreximbank), recently convened a landmark event that brought together African leaders, investors, and financiers to accelerate capital mobilisation for subnational governments and strategic infrastructure projects.
57% : Mbongue emphasized that development must be decentralized, beginning where the needs are most deeply felt, in cities, provinces, counties, and regions, and flowing outward to shape national and continental progress.
43% : The Pre-Investor Forum reinforced the collective resolve of governments, financiers, and investors to deepen Africa's economic integration and position Nigeria as a leading hub for intra-African and global investment flows.
40% : He noted that the African Sub-Sovereign Governments Network (AfSNET) has evolved into a continental movement, enabling cross-border partnerships, providing access to finance and investment readiness support, and linking local leaders directly to investors and trade opportunities.

*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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