Media Manipulation and Bias Detection
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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.
Exaggerating or sensationalizing events to attract attention.
The article uses phrases like 'Ice Spice was very confused' and 'She went viral after a fan snapped a photo of her looking extremely puzzled' to create a more dramatic narrative.
Replace 'Ice Spice was very confused' with 'Ice Spice expressed some confusion'.
Replace 'She went viral after a fan snapped a photo of her looking extremely puzzled' with 'A photo of Ice Spice looking puzzled gained attention on social media'.
Using emotional language to elicit an emotional response from the audience.
The article includes comments from social media users that are meant to be humorous or evoke a sense of amusement, such as 'I’m telling my kids this was ‘Inside Out’'.
Remove or rephrase social media comments to maintain a neutral tone, e.g., 'Social media users commented on Ice Spice’s expressions during the game.'
- 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.