Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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New Zealand team/management
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 positive or emotionally loaded language that subtly frames a team or situation in a favorable or dramatic way.
"The show goes on as they say and it promises to be a big series against South Africa who are always strong and will be smarting from the loss in the World Cup semi-final," Larsen said. "It's a great opportunity for Kiwi fans to see many of our guys back on the park so quickly after the World Cup and I know those in the squad are looking forward to playing in front of their home crowd again."
Clarify that these are subjective views and keep them clearly attributed: "Larsen said he expected it to be a competitive series against South Africa, who he described as 'always strong' and likely motivated after their World Cup semi-final loss."
Replace emotionally loaded phrasing with neutral wording: "The series is expected to be competitive against South Africa, who recently lost in the World Cup semi-final."
For the second quote, keep it as a clearly marked opinion or paraphrase neutrally: "Larsen said the series will give local fans an early chance to see the team again after the World Cup."
Highlighting only positive aspects of players’ performances, which can create an overly favorable impression.
Phrases such as: - "Latham is set to play his first T20I in nearly three years after impressing for Canterbury in the 20-over Super Smash and 50-over Ford Trophy." - "Cleaver's domestic team-mate, Jayden Lennox, is set to make his T20I debut after sparkling in his maiden ODI series in India in January." - "Katene has been rewarded for his bumper form in the Super Smash." - "Bevon Jacobs has an opportunity to showcase his explosive power... after reeling off a record five fifties in a row in the Super Smash."
Replace value-laden adjectives with neutral performance descriptions: e.g., "after strong performances" instead of "after impressing"; "after a successful maiden ODI series" instead of "after sparkling".
Provide brief comparative or contextual stats to support the positive framing: e.g., "Latham scored X runs at an average of Y in the Super Smash and Ford Trophy."
Explicitly separate fact from evaluative language: "Based on his statistics in the Super Smash (431 runs in nine innings at a strike rate of just over 170), selectors considered Katene Clarke in strong form."
- 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.