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Gizmodo Article Rating

Scientists Went Looking for Shackleton’s Endurance. They found a Hidden Fish City in Perfect Formation Instead

  • Bias Rating
  • Reliability

    35% ReliableAverage

  • Policy Leaning

    -12% Somewhat Left

  • Politician Portrayal

    N/A

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

20% Positive

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Bias Meter

Contributing sentiments towards policy:

67% : Nonetheless, the team found a peculiar habitat associated with ice shelves, a crucial formation involved in ice flow and sea level rise.
56% : The nests (the divots in the sand pictured in the image below) belong to a species of rockcod known as the yellowfin notie and were located in an area previously covered by a 656-foot-thick (200-meter) ice shelf.
54% : Antarctica’s borders are laced with floating ice shelves that hold back the flow of glaciers.
49% : The Larsen Ice Shelf is in West Antarctica, and it's so long that researchers refer to its various sections as Larsen A, B, C, and D. In 2017, a giant chunk of Larsen C broke off and turned into one of the world’s largest icebergs.
48% : Endurance was crushed by pack ice in 1915 before it got swallowed by the sea.
46% : The team was able to explore previously inaccessible areas of the seabed with an ROV and autonomous underwater vehicles (AUVs) in the wake of the ice shelf's splitting.
40% : When ice shelves are lost, glaciers flow freely into the ocean, raising sea levels.
34% : Researchers found the fish neighborhood during the Weddell Sea Expedition 2019, which aimed to conduct research near the Larsen Ice Shelf and find the wreck of Sir Ernest Shackleton's ship.

*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.

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