The Hill Article Rating

A unique set of challenges could cause turmoil in 2024 -- but here's why we can trust the vote

Feb 20, 2024 View Original Article
  • Bias Rating

    4% Center

  • Reliability

    10% ReliablePoor

  • Policy Leaning

    -4% Center

  • Politician Portrayal

    30% 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

-16% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

62% : A polluted and fractured information environment, combined with rogue actors and foreign adversaries who seek to undermine the integrity of our elections, will present a unique set of challenges this year that will test our resolve and make it exponentially harder for the average voter to determine fact from fiction.
61% : And national security experts are concerned that foreign adversaries like China, Russia, and Iran could attempt to disrupt our elections -- it wouldn't be the first time, but foreign bad actors have never had such a powerful tool for societal disruption at their fingertips.
48% : They have become experts in cybersecurity, digital communication, public relations, and ballot audits, all while implementing new state election laws and continuing to meet their core responsibilities with insufficient resources.
46% : These are the basic facts we need to remind voters about to increase public confidence in the results of what is shaping up to be the most politically toxic election ever.
35% : Some leading voices in our politics will continue to undermine our democratic institutions, malign our elections, and even incite political violence.

*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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