Ariana Grande’s number one single mysteriously disappears from streaming services.

[ 26/01/2024 13:01 ] Read on metro.co.uk

Report Overview: The article contains sensationalism, misleading headlines, appeal to emotion, and unsubstantiated claims. The presentation of the situation is somewhat unbalanced, favoring the perspective of fans and speculation over factual reporting.

Sides Objectivity Scores

Sides Representation Balance

Favored Side

Speculative Fans

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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 phrase 'panic stations' and 'Ariana hive has gone into meltdown' sensationalize the fans' reactions to the song's disappearance.

Use neutral language to describe the situation, such as 'fans expressed concern'.

Misleading Headlines

Headlines that capture attention by making claims more dramatic than the article itself.

The headline suggests a mystery around the disappearance of the song, which could imply intentional action, whereas the article discusses possible benign reasons.

Adjust the headline to reflect the content more accurately, such as 'Ariana Grande’s single temporarily unavailable on streaming services'.

Appeal to Emotion

Manipulating an emotional response in place of a valid or compelling argument.

The article uses phrases like 'panic and theorise' and 'meltdown' to evoke an emotional response from the reader.

Present the facts without using language that aims to evoke an emotional response.

Unsubstantiated Claims

Claims that are presented without evidence or support.

The theories presented by fans about the song's disappearance are speculative and not supported by evidence.

Clarify that fan theories are speculation and not confirmed 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.