Only one-third of US voters think Joe Biden will last a second term.

[ 21/09/2023 05:46 ] Read on skynews.com.au

Report Overview: The article contains some manipulations such as cherry-picking data and biased language. However, it also includes some objective information.

Sides Objectivity Scores

Joe Biden (60)

Donald Trump (50)

Sides Representation Balance

Favored Side

Joe Biden

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Detected Manipulations & Suggested Changes

Cherry-picking data

The article selectively presents data that supports the concern about Joe Biden's age and cognitive health.

Only 34 per cent of registered US voters believe Biden would complete a second term if re-elected, with 44 per cent thinking he'd leave before it ended, and 22 per cent remaining unsure. In contrast, 55 per cent of respondents believe Trump would finish a full term if elected in 2024, while 16 per cent think he would leave before it ended, and 29 per cent are uncertain.

Include additional data or context to provide a more balanced view of the opinions of voters.

Present the data in a more neutral manner without emphasizing one side over the other.

Biased language

The article uses language that suggests a negative perception of Joe Biden's age and cognitive health compared to Trump's.

Regarding mental and cognitive health, only 26 per cent of those polled believe Biden is fit for the presidency, while 44 per cent said the same about Trump.

Use neutral language to describe the poll results without implying a negative perception of Biden's fitness for the presidency.

Include additional information or context to provide a more comprehensive understanding of the poll results.

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- 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.