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 dramatic language to enhance the narrative.
The phrase 'The Los Angeles Lakers need to turn up the heat if they dream of making the playoffs this season.' uses dramatic language that could be seen as sensationalizing the team's urgency.
Use more neutral language such as 'The Los Angeles Lakers will need to improve their performance to secure a place in the playoffs this season.'
Claims made without providing evidence or sources.
The statement 'But with Davis having played 52 games this season, the rhetoric of Davis needing to ‘step up’ has proven to be mostly ‘untrue’.' is presented as a fact without providing evidence or analysis to support the claim.
Provide statistical evidence or expert analysis to support the claim about Anthony Davis' performance.
- 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.