Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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None (balanced coverage of both teams)
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 slightly vivid or value-laden verbs/adjectives that add color but do not significantly bias or mislead.
Phrases such as: - "Joonas Korpisalo pitched the Boston Bruins' first shutout of the season" - "A hard-working finish from Arvidsson lifted the Bruins" - "Korpisalo was blitzed as Pittsburgh had a 10-4 edge in second-period shots" These are standard sports-reporting idioms. They add color but are consistent with the factual description (shutout, effort on the goal, shot volume) and do not misrepresent events or outcomes.
Replace idiomatic phrasing with strictly neutral wording, e.g., change "pitched the Boston Bruins' first shutout" to "recorded the Boston Bruins' first shutout".
Change "A hard-working finish from Arvidsson lifted the Bruins" to "Arvidsson scored at 11:00 of the first period, giving the Bruins a 1-0 lead."
Change "Korpisalo was blitzed as Pittsburgh had a 10-4 edge in second-period shots" to "Pittsburgh outshot Boston 10-4 in the second period, resulting in increased workload for Korpisalo."
- 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.