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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Trump
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.
The title 'Joe Biden admits he 'nearly fell asleep on stage' during disastrous Trump TV debate' uses sensational language to attract attention.
Use a more neutral title such as 'Joe Biden comments on his performance in the recent presidential debate'.
Headlines that do not accurately reflect the content of the article.
The headline suggests Biden admitted to nearly falling asleep as a fact, but the article later states it wasn't clear whether he was joking.
Clarify in the headline that it is uncertain whether Biden's comment was serious or in jest.
Leaving out important details that could change the perception of the story.
The article does not provide information on whether Biden's comment was made in a humorous context, which is crucial to understanding the situation.
Include details about the tone and context in which Biden made his comment about nearly falling asleep.
Use of language that implies a judgment or is slanted towards a particular point of view.
Terms like 'disastrous', 'poor performance', and 'unmitigated disaster' are used to describe Biden's debate performance, indicating a negative bias.
Use neutral language to describe the debate performance, such as 'widely criticized' or 'controversial'.
Claims made without providing evidence or support.
The article states that 'calls are growing from prominent Democrats for Mr Biden to withdraw' without providing evidence of widespread calls within the party.
Provide specific examples or evidence of Democrats calling for Biden to withdraw.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article uses emotionally charged language such as 'authoritarian takeover by a criminal and his gang' to provoke a reaction from the reader.
Present the concerns of Democrats in a more neutral and factual manner.
- 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.