African Union Media Fellows embark on study tour to Brussels during European Elections
- Bias Rating
-62% Medium Liberal
- Reliability
N/AN/A
- Policy Leaning
-62% Medium Liberal
- Politician Portrayal
N/A
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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
32% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
62% : This training aims to equip the fellows with a robust understanding of how EU institutions operate and their interactions with the media, to help enrich their journalistic perspectives and professional skills.62% : These meetings will provide the fellows with the opportunity to network with EU spokespersons, share experiences on daily press briefings, and explore the workings of the EU Visitors Programme.
60% : This tour, taking place during the European elections 2024, is designed to enhance their understanding of European Union (EU) media practices and policies, fostering stronger ties and greater understanding of the African and European media landscapes.
*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.