Patrick Mahomes throws behind-the-back pass to Travis Kelce in preseason loss.

[ 18/08/2024 00:43 ] Read on nypost.com

Report Overview: The article is mostly objective, providing a straightforward account of the preseason game between the Kansas City Chiefs and the Detroit Lions. However, there are a few instances of sensationalism and appeal to emotion that slightly reduce the overall objectivity.

Sides Objectivity Scores

Sides Representation Balance

Favored Side

Kansas City Chiefs

Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.

Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.

Detected Manipulations & Suggested Changes

Sensationalism

Exaggerating or sensationalizing events to attract attention.

"The audacious throw was the highlight of an otherwise forgettable preseason game"

The throw was a notable moment in the preseason game.

Appeal to emotion

Using emotional language to elicit an emotional response from the reader.

"I did it because I was like, pissed off (at Kelce), like why did you run that route like that?"

I did it because I was frustrated with Kelce for running the wrong route.

Spread the Truth

Share Report!

- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.