Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
Bias report
HonestyMeter - AI powered bias detection
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Objectivity Score
High
Do you have a dark sense of humor? Here’s what that might say about you: study.
Sides Objectivity Scores
Sides Representation Balance
Favored Side
None
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 aspects of the story to attract attention.
The phrase 'Trolls can dish it but they can’t take it' is sensational and not supported by the study's findings.
Suggested Changes
Replace 'Trolls can dish it but they can’t take it' with a more neutral statement such as 'The study found that individuals who engage in trolling do not enjoy being trolled themselves.'
Unbalanced reporting
Presenting one side of the story more favorably than the other.
The article focuses heavily on the negative traits associated with people who have a dark sense of humor without exploring any potential positive aspects or counterarguments.
Include perspectives or studies that might show any positive aspects of dark humor or provide a more balanced view.
Biased language
Using language that unfairly favors one side over another.
Terms like 'psychological torture' and 'malevolent traits' are loaded and could bias the reader against people with dark humor.
Use more neutral language such as 'negative psychological impacts' and 'traits associated with dark humor.'
Unsubstantiated claims
Making claims without sufficient evidence.
The statement 'Online trolls did not appear to enjoy being trolled, but they enjoy trolling' is not directly supported by the data presented in the article.
Provide specific data or quotes from the study to support this claim or rephrase it to indicate it is a hypothesis rather than a proven fact.
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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.