Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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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.
Use of exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.
Phrases like 'fans were beside themselves with excitement' and 'the couple’s romantic flame continued to burn brightly' are sensationalistic, as they aim to provoke an emotional response rather than convey information.
Replace sensationalistic phrases with neutral language that simply reports the facts.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article uses phrases like 'utterly smitten' and 'adorable together' which are designed to elicit an emotional response from the reader about the relationship rather than sticking to objective reporting.
Use neutral language to describe their relationship without emotional connotations.
Claims presented without sufficient evidence or support.
Statements from unnamed sources such as 'one source told' and 'another source shared' lack substantiation and could potentially mislead readers if the sources are not credible.
Provide evidence for claims made by sources or clarify the level of credibility and why the sources are kept anonymous.
- 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.