Cyber Monday Week - 50% Off. Subscribe Cyber Monday Week

Start Up No.2568: TSMC sues Intel executive, OpenAI blames teen for suicide, EV owners face per-mile tax, VaticanOS, and more

  • Bias Rating
  • Reliability

    70% ReliableGood

  • Policy Leaning

    8% Center

  • Politician Portrayal

    -58% Negative

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

-2% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

57% : " A new tax for electric and hybrid vehicles has been announced by the chancellor in the Budget.
53% : Under the measures, an electric car driver clocking up 8,500 miles in the 2028-29 financial year is expected to pay about £255 - about half the cost per mile that petrol and diesel drivers pay in fuel tax.
50% : The new tax is about "half the fuel duty rate paid by drivers of petrol cars", according to the government's independent forecaster, the Office for Budget Responsibility (OBR).
48% : It recognises that the introduction of the tax "may increase the likelihood of motorists choosing to clock their vehicles", and said it was looking at ways to mitigate this.
38% : " The fuel tax cut (kept at the same level since April 2010) is "being reversed" - ie fuel tax will go back up - but even so, this is a perverse incentive which seems unlikely to get people to stampede to electric vehicles.

*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.

Category
Topic
Copy link