What Jennifer Lopez said about Ben Affleck on 'JKL!' as divorce rumors loom.

[ 21/05/2024 12:59 ] Read on nypost.com

Report Overview: The article contains a mix of factual reporting and speculative content. While it provides a timeline of Jennifer Lopez and Ben Affleck's relationship, it also includes unsubstantiated claims and sensationalism, particularly regarding their rumored marital issues. The balance of objective statements to those with manipulations results in a score of 65.

Sides Objectivity Scores

Sides Representation Balance

Favored Side

None

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Detected Manipulations & Suggested Changes

Sensationalism

Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.

The article's focus on 'divorce rumors' and the couple's alleged marital issues without substantial evidence.

Provide evidence for the rumors or clarify that they are unsubstantiated.

Unsubstantiated claims

Claims that are presented without the necessary evidence or support.

Statements such as 'the couple’s marriage is falling apart' and 'Affleck is staying at a separate house from Lopez' are presented without concrete evidence.

Include verifiable sources or clarify the speculative nature of these claims.

Appeal to emotion

Attempting to manipulate an emotional response in place of a valid or compelling argument.

The article plays on the reader's emotions by highlighting the couple's past and present relationship struggles.

Stick to factual reporting and avoid language that aims to elicit an emotional response.

Anonymous sources

Use of sources without names which can decrease the credibility of the information.

A source is quoted saying 'Ben believes in therapy, to a point...' without revealing their identity.

Either name the source or acknowledge the anonymity may affect the credibility of the information.

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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.