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Reuters Article Rating

Insight: Ghost in the machine? Rogue communication devices found in Chinese inverters

  • Bias Rating
  • Reliability

    70% ReliableGood

  • Policy Leaning

    -46% Medium Left

  • Politician Portrayal

    -65% 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

7% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

57% : Security analysts say this is partly because decisions about whether to secure energy infrastructure are mostly dictated by the size of any installation.
51% : It aims to prevent Homeland Security from procuring batteries from six Chinese companies Washington says are closely linked to the Chinese Communist Party: Contemporary Amperex Technology Company (CATL) (300750.SZ), opens new tab, BYD Company (002594.SZ), opens new tab, Envision Energy, EVE Energy Company (300014.SZ), opens new tab, Hithium Energy Storage Technology Company, and Gotion High-tech Company (002074.SZ), opens new tab.
44% : In February, two U.S. Senators introduced the Decoupling from Foreign Adversarial Battery Dependence Act, banning the Department of Homeland Security from purchasing batteries from some Chinese entities, starting October 2027, due to national security concerns.
38% : LONDON, May 14 (Reuters) - U.S. energy officials are reassessing the risk posed by Chinese-made devices that play a critical role in renewable energy infrastructure after unexplained communication equipment was found inside some of them, two people familiar with the matter said.
38% : " Using the rogue communication devices to skirt firewalls and switch off inverters remotely, or change their settings, could destabilise power grids, damage energy infrastructure, and trigger widespread blackouts, experts said.

*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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