Marz Anderson

Marz Anderson is a multimedia journalist based in Lansing, Michigan. He completed his Bachelor of Science in Journalism at Kent State University in 2022 and has experience in various forms of storytelling. Marz worked closely with Kent State Student Media as a multimedia journalist/reporter, serving as a weather and segment anchor, newscast producer, and intern at WKYC 3 News in Cleveland, Ohio. Additionally, he held roles as a radio jockey, marketing and web director at the student-run radio station Black Squirrel Radio before becoming the general manager. Marz briefly worked at WETM 18 News in Elmira, NY, and Ideastream Public Media in Cleveland, Ohio. His interests include music, entertainment, graphic design, marketing, social media content creation and reality TV. Marz can be reached at marz.anderson@wilx.com.

Biography:  https://www.wilx.com/authors/Marz_Anderson/

100%

The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermines the credibility of the source. It is calculated as:
Analysis.OverallConflictOfInterestScore * 0.3F + Analysis.OverallBiasScore * 0.3F + Analysis.DeceptivenessScore * 0.3F + Analysis.ReadabilityScore * 0.1F

A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

The Daily's Verdict

This author is known for its high journalistic standards. The author strives to maintain neutrality and transparency in its reporting, and avoids conflicts of interest. The author has a reputation for accuracy and rarely gets contradicted on major discrepancies in its reporting.

Bias

100%

Examples:

No current examples available.

Conflicts of Interest

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No current examples available.

Contradictions

100%

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No current examples available.

Deceptions

100%

Examples:

No current examples available.

Recent Articles

Honeybees Detect Lung Cancer with 82% Accuracy: A New Hope for Early Diagnosis

Honeybees Detect Lung Cancer with 82% Accuracy: A New Hope for Early Diagnosis

Broke On: Wednesday, 12 June 2024 Researchers at Michigan State University discovered honeybees can detect lung cancer in human breath with an 82% success rate, potentially leading to new diagnostic methods. Honeybees identified cancer-indicating compounds in synthetic breath mixtures and could improve early detection of the second most common cancer in the US.