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.
Using sensational or misleading headlines to attract attention.
The headline 'BetMGM Bonus Code NW150: Claim $150 MLB, Soccer, Wimbledon Promo' is designed to attract clicks by promising significant bonuses.
Use a more informative headline that accurately reflects the content of the article without exaggeration.
Using emotional appeals to persuade the audience.
Phrases like 'secure a large payout' and 'capitalize on all of these offers' are designed to evoke excitement and urgency.
Provide a balanced view of the risks and benefits of sports betting, including potential losses.
Leaving out important details that could provide a more complete understanding.
The article does not discuss the potential risks or downsides of sports betting, such as gambling addiction or financial loss.
Include information about responsible gambling and potential risks associated with betting.
- 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.