Counter Punch Article Rating

Building Social Solidarity Across National Boundaries

Sep 02, 2021 View Original Article
  • Bias Rating

    -70% Medium Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    34% Somewhat Conservative

  • 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

N/A

  •   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:

61% : The United Nations has provided a very useful locus for discussion and action on issues of concern to organizations dealing with women's rights, environmental protection, human rights, poverty, and other issues, with frequent conferences devoted to these concerns.
60% : Even so, over the course of modern history, social movements have managed, to a remarkable degree, to form global networks of activists who have transcended nationalism in their ideas and actions.
50% : Admittedly, the United Nations is a confederation of nations, where the "great powers" often use their disproportionate influence -- for example, in the Security Council -- to block the adoption of popular global measures that they consider against their "interests.
32% : Conversely, the ability of global institutions to focus public attention upon such matters has deeply disturbed the political Right, which acts whenever it can to undermine the United Nations, the International Criminal Court, the World Health Organization, and other global institutions.

*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.

Copy link