Extremely
Liberal
Very
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Very
Conservative
Extremely
Conservative
-100%
100%
The Minnesota Spokesman-Recorder, known for its steadfast commitment to delivering comprehensive news to the Minnesota community, was founded in 1934 by Cecil E. Newman. Since its inception, this reputable news source has covered a diverse range of topics, including politics, sports, trendy stories, and community affairs, serving as a voice for underrepresented communities. Headquartered in Minneapolis, it has become a cornerstone of local journalism and social advocacy. The publication's dedication to promoting diversity and equity has made it a prominent fixture in the state's media landscape. Today, the Minnesota Spokesman-Recorder continues its legacy of excellence under the stewardship of dedicated community leaders, ensuring that it remains a vital source of information and empowerment for Minnesota residents.
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Fair Reliability
*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.
The Analyst Bias Score is 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.
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Fair Reliability
*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.
33% negative
