What are the main factors of sustainable tourism? - Curious Expeditions
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-50% Medium Left
- Politician Portrayal
N/A
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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
25% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
67% : Sustainable transportation options like electric vehicles and public transportation are also crucial.61% : Offsetting carbon emissions from flights is also a worthwhile consideration.
56% : Tourism businesses can ensure fair labor practices by paying fair wages, providing safe working conditions, respecting workers' rights, and offering opportunities for training and professional development.
49% : Tourists can minimize their environmental impact by choosing eco-friendly accommodations, using public transportation or walking whenever possible, respecting local regulations regarding waste disposal and wildlife interactions, packing light to reduce fuel consumption, and supporting local businesses that prioritize sustainability.
43% : Sustainable tourism practices can help mitigate climate change by reducing carbon emissions and promoting resilience.
41% : This encompasses a wide range of considerations, from reducing carbon emissions and waste generation to protecting biodiversity and conserving natural resources.
*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.
