Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Intel / Core Ultra X9 388H with Arc B390
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.
A headline that can give an exaggerated or incomplete impression compared to the nuanced reality in the body text.
Title: "Intel's Core Ultra Series 3 let me play 'Battlefield 6' at 190 fps on a Lenovo ultraportable". Body: "There's a catch, of course: Intel's XeSS3 AI upscaling and 4X frame generation is the big reason why I was able to see such high fps figures." The headline emphasizes 190 fps on an ultraportable without indicating that this is largely due to aggressive AI upscaling and 4x frame generation, which is a materially different scenario from native 190 fps rendering.
Revise the headline to include the key caveat, e.g., "Intel's Core Ultra Series 3, with XeSS3 frame generation, let me play 'Battlefield 6' at 190 fps on a Lenovo ultraportable".
Alternatively, specify that the 190 fps is with AI upscaling and frame generation: "Intel's Core Ultra Series 3 hits 190 fps in 'Battlefield 6' on a Lenovo ultraportable using XeSS3 upscaling".
In the subhead or first line, restate clearly that the 190 fps figure is not native rendering but heavily reliant on frame generation.
Presenting a complex technical or performance situation in a way that glosses over important nuances.
1) "How far has Intel's embedded Arc graphics come over the years? Enough to let me play Battlefield 6 at up to 190 fps in 1080p, with the graphics settings set to high... There was no need for dedicated graphics, just the Intel Core Ultra X9 388H's built-in Arc B390 GPU." This compresses several factors (XeSS3, frame generation, input method, display type) into a simple claim that suggests the iGPU alone is responsible for the experience. 2) "If I was sitting on a couch, I’d think the game was being powered by a console or a budget gaming PC." This equates the perceived experience on a TV with that of a console or budget PC without clarifying differences in latency, image quality, or consistency. 3) "overall it should offer similar performance to the mobile RTX 4050 GPU." This is a broad equivalence that ignores differences in ray tracing, power limits, thermals, and game‑to‑game variability.
Explicitly separate native rendering performance from performance with XeSS3 and frame generation, e.g., provide both native fps and frame‑generated fps numbers.
Clarify that the console/budget PC comparison is about subjective couch‑distance perception, not strict performance parity, e.g., "From a couch, the experience felt similar to playing on a console or budget gaming PC, though I didn’t directly compare frame times or image quality."
Qualify the RTX 4050 comparison: "Intel claims that in some scenarios the B390 can approach mobile RTX 4050 performance, though this will vary by game, settings, and power limits."
Claims presented without sufficient evidence, data, or sourcing.
1) "Environmental details, shadows, lighting and particle effects also looked flawless." This is a strong qualitative claim with no screenshots, metrics, or comparison points. 2) "If I was sitting on a couch, I’d think the game was being powered by a console or a budget gaming PC." This is a subjective impression stated without any direct side‑by‑side comparison or measurement. 3) "I didn’t get a chance to push the resolution up to 1440p, but it’d be interesting to see if it could maintain at least 100 fps in that mode." This speculates about 1440p performance without any data. 4) "overall it should offer similar performance to the mobile RTX 4050 GPU." This is presented as a general performance equivalence without benchmarks or context beyond Intel’s own statement.
Qualify subjective impressions with language like "to my eyes" or "subjectively" and, where possible, include screenshots or frame‑time graphs to support visual and smoothness claims.
Remove or clearly label speculation about 1440p performance, e.g., "I didn’t test 1440p, so I can’t say how close it would get to 100 fps."
Attribute the RTX 4050 comparison explicitly and note the lack of independent verification, e.g., "Intel says it should offer similar performance to a mobile RTX 4050 GPU; I haven’t independently benchmarked this claim."
Relying primarily on a single interested party’s claims or authority without balancing with independent evidence.
"Intel claims the B390 is around 80 percent faster than the Radeon 890M, which is built into the Ryzen HX370. Additionally, the company says the new GPU is 76 percent faster than its Arc 140T, and overall it should offer similar performance to the mobile RTX 4050 GPU." These are all Intel’s own performance claims, presented without any third‑party benchmarks, test conditions, or caveats about potential bias.
Explicitly label these as marketing claims and note the lack of independent verification, e.g., "According to Intel’s internal benchmarks (not yet independently verified)..."
Add context about test conditions if available (resolution, settings, power limits) or state that Intel did not provide detailed methodology.
Balance Intel’s claims with a note that real‑world performance can vary and that independent reviews are needed to confirm these numbers.
Drawing broad impressions from a very narrow or favorable set of examples.
The article’s positive impression is based on a single game (Battlefield 6), a single laptop model (Lenovo IdeaPad Pro 5), one resolution (1080p), and one usage scenario (controller on a TV with XeSS3 and frame generation). Yet the framing suggests a more general advancement of Intel’s embedded Arc graphics. Example: "How far has Intel's embedded Arc graphics come over the years? Enough to let me play Battlefield 6 at up to 190 fps..."
Explicitly state that the experience is based on a single short hands‑on session with one game and one configuration, and that results may differ in other titles or laptops.
Avoid generalizing from this one test to Intel’s embedded Arc performance overall; instead, phrase it as "In Battlefield 6, on this specific Lenovo IdeaPad Pro 5, I saw..."
If possible, include at least brief notes on other games or workloads, or clearly say that no other titles were tested in this session.
Using language that subtly frames one side more positively, influencing perception beyond the raw facts.
Phrases like "unassuming Lenovo IdeaPad Pro 5", "I was surprised by how smooth the gameplay felt", and "Environmental details, shadows, lighting and particle effects also looked flawless" create a strongly positive frame around Intel’s solution, while competing products are only mentioned via Intel’s own performance claims. There is no mention of potential downsides (e.g., power draw, thermals, fan noise, image artifacts from XeSS3, or scenarios where performance might drop).
Balance positive impressions with any observed limitations (e.g., fan noise, heat, occasional artifacts) or explicitly state that the short test did not allow for evaluating those aspects.
Use more neutral descriptors instead of superlatives, e.g., "looked very good" instead of "looked flawless".
Add a brief note that this is an early impression and that a full review with broader testing is needed for a comprehensive judgment.
- 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.