I'm a brown, Muslim European. For people like me, these EU elections are terrifying | Shada Islam
- Bias Rating
10% Center
- Reliability
65% ReliableFair
- Policy Leaning
10% Center
- 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
-34% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
71% : But for the first time, my heart isn't in it.59% : Dealing with the EU is a special challenge for European Muslims.
55% : But only on the left has there been clear reference to tackling systemic racism.
51% : My head agrees with the messages from EU politicians that I should do my bit for democracy.
50% : What about also committing to making EU institutions more racially diverse and inclusive, and decolonising inward-looking and Eurocentric trade, aid and foreign policies?
45% : The fact that racism, discrimination and xenophobia are corroding European democracy from within, creating societal divisions and political polarisation, is rarely discussed in "Brussels so white".
44% : EU institutions have already let people of colour down.
42% : Their argument is much more powerful and convincing than EU policymakers and politicians' bland platitudes about the importance of showing up at the polling station.
39% : This erodes the legitimacy of EU institutions and in turn creates a vicious circle.
29% : Many feel betrayed and abandoned, not just by EU politicians and policymakers - they never cared much for us anyway - but by large parts of the media and EU "experts" who failed to see the dangers of a far-right Europe, played down the threat, or deliberately looked the other way.
*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.