A Smashing Success? The Smash Room Franchise Eyes Up Expansion Into Middle East And Asia
- Bias Rating
-10% Center
- Reliability
75% ReliableGood
- Policy Leaning
-10% Center
- Politician Portrayal
54% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
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:
65% : Providing regulation then meant that the government could look to support and fund individuals looking to launch their own franchise businesses, having identified it as a business model with a high rate of success.61% : The three pillars of that plan are a vital society, a thriving economy and an ambitious nation, looking to take the country's focus away from the reliance on the oil industry and making it an attractive place to visit, live and work in.
57% : The introduction of the long awaited Saudi Franchise Law in 2020 certainly confirmed the Kingdom's continued commitment to supporting the growth of the franchise industry, ensuring both parties in the franchise relationship were afforded protection and providing regulation, transparency and certainty in some areas which had previously been confusing and been subject to some exploitation.
*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.