Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
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- 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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Police/Investigation Authorities and Driver/Owner (Mishra family) are slightly more foregrounded than Victim/Bystanders, but overall the balance is relatively even.
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 a headline that does not accurately reflect the content of the article.
Headline: "Shocking! Starmer Faces Pressure From ‘Friends’ To Quit As Huge Epstein Storm Sweeps UK". Body: A traffic incident in Kanpur involving a Lamborghini, with no mention of Starmer, Epstein, UK politics, or any related topic. This is a clear mismatch between headline and content, which can mislead readers about what the article is actually about.
Change the headline to accurately describe the content, e.g., "Lamborghini Driven at High Speed Causes Chaos in Kanpur’s Gwal Toli Area".
Remove references to Starmer, Epstein, and the UK, as they are unrelated to the described incident.
Ensure future headlines are directly tied to the main facts and location of the story.
Using sensational or provocative wording in the headline to attract clicks, often at the expense of accuracy.
The use of "Shocking!" and the dramatic framing of a "Huge Epstein Storm" and political pressure on Starmer are designed to provoke curiosity and emotional reaction, but the article content is about a local traffic accident in Kanpur. This is classic clickbait: emotionally charged, high-profile names, and unrelated to the actual story.
Remove emotionally charged exclamations like "Shocking!" unless the content genuinely supports such a description and it is clearly explained.
Avoid using unrelated high-profile names or scandals (Starmer, Epstein) to draw attention when they are not discussed in the article.
Adopt a neutral, descriptive headline that reflects the actual subject matter.
Exaggerating or dramatizing aspects of a story to provoke strong emotional reactions.
The headline’s framing ("Shocking!", "Huge Epstein Storm Sweeps UK") is highly dramatic and implies a major political scandal, while the body is a routine, though serious, traffic incident report. The body text itself is relatively restrained, but the headline’s tone is sensational.
Use neutral language in the headline, focusing on who, what, where, and when, rather than emotional triggers.
If a situation is genuinely shocking or part of a larger scandal, explain that clearly and factually in both headline and body, rather than relying on vague dramatic phrases.
Align the emotional tone of the headline with the factual gravity of the incident described.
Leaving out important context that would help readers fully understand the situation.
The article notes that the Lamborghini is registered to tobacco tycoon KK Mishra and was "reportedly driven" by his son. However, it does not clarify the source of this report (police, witnesses, media) or whether the driver has been formally identified by authorities. It also mentions only one injured pedestrian and "several vehicles" damaged without specifying the extent of injuries or damage, or whether others were hurt.
Specify who reported that the car was driven by Shivam Kumar Mishra (e.g., police statement, eyewitnesses, registration records).
Clarify whether the driver’s identity has been officially confirmed by authorities.
Provide more detail on the number of injured people and the severity of injuries, if known, or explicitly state that this information is not yet available.
Clarify the extent of vehicle damage or state that details are pending investigation.
Highlighting a person’s status or wealth in a way that may bias perception, rather than focusing strictly on relevant facts.
The article emphasizes that the car is a "Lamborghini" and registered to "tobacco tycoon KK Mishra". While ownership can be relevant, the emphasis on "tycoon" and luxury branding can subtly frame the story around wealth and status, potentially influencing readers’ judgments about guilt or blame.
Mention the owner’s identity only insofar as it is relevant to the investigation (e.g., "The car is registered to businessman KK Mishra"), avoiding loaded terms like "tycoon" unless they are directly relevant.
Focus on verifiable facts about the incident (speed, collisions, injuries, police actions) rather than the social status of those involved.
If the wealth/status angle is relevant (e.g., to discuss differential treatment by authorities), make that connection explicit and supported by evidence rather than implied through labels.
- 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.