on contact

before 10 hours

Dear HeliumTrades-Team,

At 2026.06.24/https://heliumtrades.com/media-bias/moomoo.com from "

Bank Bradesco To Go Ex-Dividend On July 6th, 2026 With 0.00342 USD Special Dividend Per Share - Moomoo

Bank Bradesco To Go Ex-Dividend On July 6th, 2026 With 0.00342 USD Special Dividend Per ShareMoomoo

moomoo.com Jun 18, 2026"

to "

TRUE NORTH COMMERCIAL REAL EST INV To Go Ex-Dividend On June 30th, 2026 With 0.04073 USD Dividend Per Share - Moomoo

TRUE NORTH COMMERCIAL REAL EST INV To Go Ex-Dividend On June 30th, 2026 With 0.04073 USD Dividend Per ShareMoomoo

moomoo.com Jun 18, 2026", the links redirects to "https://www.moomoo.com/404".

Even if web.archive-links are added, in Safari 15.6 with iOS 15.8, https://web.archive.org/web/20260624100914/https://www.moomoo.com/news/post/71688709/true-north-commercial-real-est-inv-to-go-ex-dividend, the header of Wayback Machine is dis- and reappearing and only a white page is shown.

In Windows 10 with Chrome 138, the web.archive-page breaks and reloads, which could overwhelm or stagnate HT-AI when they can't distinguish when a webpage is broken and being exposed by a loading-loop.

Sincerely, Rejmer";

"2026-06-23:

Dear HeliumTrades-Team,

In epistemological philosophy, it is said that every claim about things external from senses and thought (even this) begs the question and therefore needs justification, which even a justified claim is different from the truth outside our senses and thoughts. If all documents are verified and laid out, from an outside-perspective, then we still can never be 100% certain if that alleged and confirmed X is actually X, even if all reasonable doubts are discarded, since there's always room for at least unreasonable doubt about external epistemological claims and reality sometimes acted against human reasonable prediction. Our senses in definition can only take outside-things how they seem and grasp what that person's brain can think, coming from my limited view based on personal memory, which can be altered aswell. The combination of both thought and senses and socially influential institutions could increase subjective certainty to 100%, yet one of the reasons why death penalty was abolished in Britain is because of the ability to change the state of that actor through compensation when alive and the previous negative judgement being proven wrong, and because new evidences could arise that change our beliefs about that actor.

2026.06.23/https://www.coinbase.com/blog/a-playbook-for-fighting-patent-trolls : "Cloudflare is a good example. In 2017, the company was sued by a patent troll. But instead of settling, Cloudflare fought back hard — refusing to pay, and putting out a public call for evidence that would invalidate not just the patent being used against Cloudflare, but all of the troll’s patents. It worked, and they’ve taken a similar approach to fighting other trolls." Them using the word "troll" at least 4 times implies a psychological distance between Coinbase and their Patent-counterside. One can argue that the evidences are slightly against Coinbase's favor. Still, the court didn't finally decide beyond reasonable doubt as far as I know and being mad and calling others who are against them "trolls" doesn't necessarily mean that it's more likely a bad actor.

One can make a meme-argument and say that it is usually the crewmates in the game Among Us, who uses profanity since if someone feels guilty like the Imposters, then why would they express offensiveness about something that is as reasonable as the counter-claim, that they aren't, and that they know it's true. 2026.06.23/https://abovethelaw.com/2026/01/lawyers-frequently-lie-to-their-adversaries/

Coinbase, if knowing that they are in the wrong, would be more likely be diplomatic and considerate. It's more likely to me that they at least think that they did legally (almost) nothing wrong, since everyday lying is common. Yet that's speculation at this point. 2026.06.23/https://www.psychologytoday.com/us/blog/questions-of-character/202402/most-people-are-not-lying-most-of-the-time : "Admittedly, there were some differences between the different locations. For instance, Kenyan participants shifted a bit more in the direction of frequent lying: Only 19 percent of that sample claimed not to have lied in the previous 24 hours, while 23 percent told 6 or more lies, accounting for 68 percent of the total lies. As a smaller part of the study, Serota also asked participants in some of the countries about whether their lies were little ones or big ones. There was a consistent pattern in the data here too. In Keyna, for example, the number of little lies was double the number of big ones. In Russia, it was 23 percent big lies and 61 percent little lies. Interestingly, 75 percent of the big lies were told by the people in Russia who lied a lot (6 or more lies). Nearly identical results were found in Brazil. To sum up, when they do lie, people tend to tell little lies rather than big ones. But those who do tell big lies also tend to be prolific liars." That's why "almost".

If the development of HT-AI plans to have some crawler where HT-AI has access to World Wide Web beyond the submitted sources at that degree, then they could visit from-article-targeted company-webpages and comment on their version as to how trustworthy and biased it is, yet HT-AI judges primarily articles within a database, not actors.

2026.06.23/https://legalnewsfeed.com/2026/05/08/coinbase-faces-patent-infringement-lawsuit-from-texas-blockchain-firm/ , which seems like a neutral AI summarizing said that those patent disputes reflect a trend of more complex law-environment. "In response to these sorts of allegations, companies like Coinbase must navigate complex legal frameworks while maintaining operational momentum."

That AI-critic was inspired by 2026.03.23/https://github.com/vicsanity623/AxiomEngineFORK : " A decentralized, anti-LLM grounding engine

Builds a deterministic lexical mesh + knowledge graph from RSS streams — no probabilities, no GPUs, no black boxes. " I don't know nor agree with everything he says. For example that it's largely Google that orientates towards popularity meanwhile exalead ranks webpages based on accruacy of that typen query, yet it's interesting to consider an alternative to LLM-fact-checking-tools in a LLM-era.

There's also a project https://github.com/DigitalPlatDev/FreeDomain : " free to register a unique domain and host it with your favorite DNS provider, like Cloudflare, FreeDNS by Afraid.org, or Hostry " that looks genuine instead of a semi-aggressive advertisement and seems to offer domains for free.

Sincerly, Rejmer" <

2026-05-30:"

2025-05-30: Rejmer2017 0 <rejmer2017@gmail.com>

12:02 (before 4 Minutes)

an contact

2025-05-30: Reconsidering determinism in current AI-model:

Dear HeliumTrades-Team,

Earlier, I heard that Anthropic Claude AI is used for HeliumTrades. I don't know the specifics nor which alternative to use, yet wanted to share a perspective regardless how consistent AI outputs.

2026.05.30/https://findskill.ai/blog/consistent-ai-output-guide/#why-ai-output-varies-and-why-thats-usually-on-purpose : "When to Use Each Temperature

Use 0-0.3 for:

Data extraction

Translations

Code generation

Classification tasks

Anything requiring identical outputs

Use 0.5-0.7 for:

Writing (when you want it to sound human)

Brainstorming (but with some consistency)

General Q&A

Most everyday use

Use 0.8-1.0+ for:

Creative writing

Generating multiple alternatives

Exploratory ideation

When you explicitly want variety"

I think that categorizing and describing biases belongs to " Classification tasks" and that "Claude uses balanced temperature." implies that the "randomness" is too high for describing biases and article-summary. Objectivity means non-arbitrary standard of correctness and that includes consistency. This can be also achived with " temperature control" or "Seed Values".

Sincerely, Rejmer";

“2026-05-11: About HT-AI, law360.com

Rejmer2017 0

12:45 (before 5 hours)

on contact

2026-05-11: About HT-AI, law360.com:

Dear HeliumTrades-Team,

How relevant is guessing if an article is " Written by AI " or non-AI, as long as the content seeks the closest approximation of truth? Even if one could use this to demonstrate that this author lied about the absence of AI, they could still outsource his article to another human author or a more human-like AI? A more interesting approach would be if HeliumTrades-AI could detect roughly which kind of AI-model/personality wrote an article. That's like knowing the author's "brain". The HeliumTrades-AI can compensate their lack of filling other spectrum of biases by pointing out the general biases of the author/AI-model, stating that this is n approximated generalization and not that article itself. This is what the profiles of https://heliumtrades.com/sources/ shows, just with AIs including within the media-sources-list or a separating list. If judging AIs is too complex to handle, then don't.

2026.05.11/https://heliumtrades.com/media-bias/law360.com : " repeated “neutral” conclusions may reflect insufficient information rather than balanced reporting " What if the information was sufficient and it happened to give the same conclusions? It's worded as an general assumption.

"Helium Bias: I overweight “template-ness” as AI/propaganda; with only summaries, I infer more than I can prove.

(?)  May 03, 2026

" The HT-AI admits that it assumes more than it proves.,

"

Coinbase Stole Patented Blockchain Network Tech, Co. Says - Law360

" : " Loaded headline framing Coinbase as having stolen patented blockchain technology signals sensational, accusatory bias with minimal corroboration. ",

2026.05.11/https://www.law360.com/articles/2475762/coinbase-stole-patented-blockchain-network-tech-co-says : "Coinbase Stole Patented Blockchain Network Tech, Co. Says

By Hailey Konnath ( May 8, 2026, 10:16 PM EDT) -- A Texas

company has asked a federal court to block Coinbase from

infringing a group of patents covering improvements to

blockchain technology, pointing to two of the cryptocurrency

exchange's products: the Coinbase Wallet and the Base app....

" I see how HT-AI concludes that law360 signals some readers to think that Coinbase stoled it, especially how "

, Co. Says

" comes last, yet what this headline and articles/2475762/Hailey Konnath says is that a company/Co. claims that coinbase stole it.

So it kinda isn't framing but a wrong first expression from reading left-to-right. HT-AI is half-right about it.

2026.05.11/https://dictionary.cambridge.org/dictionary/english/framing : framing noun (EXPRESSION) : "the way that something is expressed, and the words that are chosen to do this" AI is in this definition right.,

framing noun (EXPRESSION) : "the ideas and meanings that are connected with something when it is described or discussed, so that people understand it in a particular way" AI is half-right. It is wrongly connected at the beginning "Coinbase Stole Patented Blockchain Network Tech" but then correctly connected in the end, making this particular way at the end as not framing in favor of "Coinbase Stole", with the memory of the first impression being maybe inside this reader's subconsciousness. In this definition, articles/2475762 with official name Hailey Konnath framed the reader's consciousness to think that this is just a claim from a company, meanwhile attempting to frame the reader's subconsciousness.

2026.05.11/https://thedecisionlab.com/reference-guide/psychology/the-first-impression-bias : " Lindgaard and colleagues found that participants reliably decided which homepages they liked and which they did not like within 50 milliseconds. "..." More research needs to be conducted to examine how long these first impressions last ", " physicians were likely basing their final diagnoses largely on the first pieces of information they learned about the patients ",

2026.05.11/https://www.academia.edu/534967/User_satisfaction_aesthetics_and_usability_Beyond_reductionism : " Our concern with satisfaction arises from very robust findings in the neurophysiological literature where researchers constantly find that emotional responses are strikingly immediate, occurring within 3-4 milliseconds of a stimulus being shown (Bornstein, 1992; Zajonc, 1980). Thus, according to this research, emotional responses are pre-attentive and precede cognitive ones. The implications for web design are obvious and pervasive" , " strength of the ‘first impression’, characterized by what psychologists call a ‘primacy effect’, has long featured very prominently in the psychological literature, (Anderson, 1981; Anderson, 1982) even in areas involving expert judgement such as diagnostic medicine (Lindgaard, 1985). Basically, judgments are overwhelmingly based on the first impression.", "

Twenty subjects, 10 males and 10 females, were recruited from around the University Campus in a semi-random fashion, ensuring that English was their first language, that they were regular Internet users (2-10hrs/week), and that they had no UI design or evaluation experience.",

2026.05.11/https://dictionary.cambridge.org/dictionary/english/framing : framing noun (FOR CRIME): "the action of making a person seem to be guilty of a crime when they are not, by giving information that is not true" AI is in this definition wrong then about the headline and this article's content.

Which dictionary does HT-AI use? Is the answer more complicated as to how HeliumTrades-AI learns English? HT-AI should express in a concise manner without possible misinterpretations and double meanings for communicating better about biases/the "character" and tendencies of certain sets of texts to the readers.

Sincerely, Rejmer

Rejmer2017 0

15:54 (before 1 hour)

on contact

Dear HeliumTrades-Team,

2026.05.11/https://www.quora.com/Is-it-better-to-read-with-bigger-fonts-or-smaller-fonts-on-desktop : " web has made it easy to set your text against ridiculous backgrounds, or to make the font a color other than black "..." these words you are reading are grey, not black "..." black letters on white is always best " implies that the black headline as opposed to the brighter gray texts below from upper-right to lower-left with decreasing transparency makes the black headline the most preferable and implies the focus on reading upper-right to lower-left

2026.05.11/https://ssol-journal.com/articles/10.61645/ssol.176 : "Over the last decades, however, a shift has been noted in reading, usually described as a shift from close reading (a careful reading of the text in a mode of focused concentration, in a linear manner) to hyperreading (Hayles, 2007, 2012). Close reading refers to a mode of reading with sustained and focused (or “deep”) attention to the text, including its stylistic and compositional aspects (Lentricchia and Dubois, 2003). It is crucial for the deep inferential comprehension that allows one to critically engage with the meaning of texts (Baron, 2021; Mangen and Van der Weel, 2016). Hyperreading is a term coined by James Sosnoski in 1999 to denote non-linear ways of reading like skimming and scanning, often by way of screen media. It enables us to quickly identify relevant information, and thus to determine what to zoom in on (Liu, 2005). Close reading is almost exclusively discussed as pertaining to literary texts (except for dense works like philosophical or historical treatises), whereas skimming is usually discussed in relation to information texts (e.g., Duggan and Payne, 2009; 2011; Sosnoski, 1999) and rarely brought up in relation to reading literature, with some recent exceptions investigating preferences and habits for literary reading in various mediums, such as print book vs. e-reader (Kindle) vs. audiobook (Kosch et al., 2021; Spjeldnæs and Karlsen, 2022). This may suggest that reading literature more or less exclusively entails close reading in an uninterrupted mode of deep attention.",

"Liu (2005) suggests that screen-based reading behavior is characterized by “more time spent browsing and scanning, keyword spotting, one-time reading, non-linear reading, and reading more selectively, while less time is spent on in-depth reading, and concentrated reading” (p. 700). Empirical studies in various areas of reading research have found that screens seem to encourage skimming, scanning, and hence a kind of superficial reading (Liu, 2005; Mangen et al., 2013; Noyes and Garland, 2008). Hyperreading corresponds with a cognitive style that Hayles (2012) calls hyperattention, marked by rapid switching among tasks, with a preference for “multiple information streams” seeking a “high level of stimulation” and with low tolerance for boredom (p. 178). Hyper attention is appropriate whenever we have to quickly negotiate changing environments where multiple stimuli compete for our attention. Its drawback is its impatience with sustained attention to noninteractive objects." (It seems that the feed on the right of "

Coinbase Stole Patented Blockchain Network Tech, Co. Says

" in desktop-version of 2026.05.11/https://www.law360.com/articles/2475762/coinbase-stole-patented-blockchain-network-tech-co-says motivates and targets readers who usually do skimming referred as “multiple information streams” and therefore with shorter attention span & more surface reading causes more misunderstandings about convincing the readers to think that Coinbase stole that patent.,

"Reader and Payne (2007) show that skim readers focus on extracting information from the more important sentences contained within text: The adaptive allocation of attention or so-called satisficing strategy in skim reading entails that readers monitor their information gain, and if it falls below a certain threshold, they stop reading and move on to a next (part of the) text."

Importance is relative to the reader's needs as I interpret here in " Each reader has standards of coherence that are set individually and that differ depending on the specific goal, purpose, the reader’s background knowledge and reading proficiency, textual parameters such as complexity, and external factors such as distractions (van den Broek et al., 2011; see also Elfenbein, 2018; Linderholm et al., 2018). The various readers’ standards of coherence will have an impact on factors such as reading pace, retention, memory and comprehension. ",

Maybe HT-AI can detect between different modes of attention and reading motivated by a web-design like close reading, hyperreading, and absorbed reading, and others, triggered by both textual (bottom-up) and readerly (top-down) characteristics.

" UST " means " Unscrambling Sentence Test ".

" Attention is oriented at the world of the story, and as a result, readers might lose awareness of their own context, the time and place as well as themselves (Kuijpers et al., 2014). Absorption thus engages with a slightly different mode of attention than reading for aesthetics: The latter might demand more effortful persistence, whereas the former might be more automatic. The UST engages the former mode of deep attention rather than the latter.

Reading for plot negatively correlated with the UST. This was to be expected " Few law360-plot-readers, when the automation starts earlier can also be mislead to think that it's definitive that Coinbase stole it on that article-snippet alone. The majority of all reader-categories passed " Unscrambling Sentence Test ", so misinterpreting this headline should be a lesser issue and therefore, it's lesser of a framing in the sense of the centrist " framing noun (EXPRESSION) : "the ideas and meanings that are connected with something when it is described or discussed, so that people understand it in a particular way"", making HT-AI being tilted in the wrong about their claim:" Loaded headline framing Coinbase as having stolen patented blockchain technology signals sensational, accusatory bias with minimal corroboration. " ,

" We found that skimmers and skippers scored significantly lower on the UST compared to those who indicated they do not skim or skip. ",

" reverse effect for skimming and skipping passages with “too obvious information,” with significantly higher UST scores for participants who skim or skip such passages than those who reported they do not. Unlike skipping or skimming in general, skipping or skimming irrelevant information can be considered a profitable reading strategy that is associated with successful reading. This has been argued before with respect to reading informational texts (Reader and Payne, 2007).", " reasons for skimming and skipping participants provided, where “poor quality writing,” ",

The question is if law360.com-hyperreaders see the shortcut of "Co." as poor-quality-writing. If yes, then this way of writing that headline signals further that the "Co. Says" was more likely planned to be and is more ignored, reduced to "Coinbase Stole Patented Blockchain Network Tech" for skimmers, assuming that unscrambling sentences also means being attentive to the sentence/s themself/ves. Yet unscrambling words in the grammatically correct order isn't enough to memorize the correct information nor to visualize/conceptualize it without the plot-automation-part taking over (more narrative-absorbed, less text-focused dreamers/mind-sprinters) or having barely visualization/ conceptualization at all (skimmers with ADHD) as opposed to the lack of it or "daydreaming or mind-wandering".

" For instance, Duggan and Payne (2009) found that skim readers had better memory performance for important details in the text, but not for the unimportant ones, as well as higher scores for comprehension for important sentences (see also Duggan and Payne, 2011). " Question remains: Is the headline-sentence as a whole considered as important? If yes, then the hyperreaders can hardly be tricked into thinking that Coinbase stoled it as opposed to being a claim from a company without external evidences provided by https://www.law360.com/articles/2475762/coinbase-stole-patented-blockchain-network-tech-co-says. When "Co. Says" is an unimportant detail to them, then hyperreaders will forget that part.

2026.05.11/https://dl.acm.org/doi/10.1145/3579357 : " perceptual span (how much can be seen in a single fixation, typically about eight letters) " This still doesn't say about what the brain perceives and memorizes.,

" prevalence of regressions (looking back at previously read text, around 10% to 15% of saccades) " Less likelihood to re-correct themselves.

"reading in a largely linear order, as one may expect for, say, a newspaper story " So being completely linear isn't beneficial for reading newspaper stories like this, which slightly favors the skimmers.,

" under normal viewing conditions, the vertical resolution may not be adequate to correctly and consistently identify the line being read. This obviously depends on the font size and line spacing. ",

" In many cases, it appeared that participants found the target line effortlessly: they read the question and immediately moved to the target line—presumably being able to identify it using their peripheral vision [21]. ",

" Indented lines were apparently the easiest to identity, and there was only one (questionable) case of looking at previous lines.",

"6.2 Human Behavior

Our experiment was not designed to study human behavior. However, the participants did behave in diverse and interesting ways. Two contrasting forms of behavior were easily discerned: avoiding unnecessary work and repeating work unnecessarily.

The results concerning avoiding unnecessary work are shown in Figure 14. The instructions given to the participants were to initially read the texts, and then to read the question and figure out the answer. But they soon learned that they do not really need to read the whole text to answer the questions. So they started to skip the text and go straight to the question. As shown in Figure 14, initially nearly all participants read or at least skimmed the text. From the second text, half already skipped it. After the fourth text, only one participant continued to read the text each time." So in the beginning, most people read the whole text, especially when it's less.,

"Rather than trying to understand the code, they may look for shortcuts that enable them to complete the task without investing the effort required to achieve actual understanding [26, 44].

The results concerning unnecessary work were described previously in Sections 5.3 and 5.4. The term unnecessary is of course subjective." So skimming after repeated text shouldn't affect the majority of reader's understanding.,

" When we read a story for fun, we most probably indeed read it in “story order”—from beginning to end, passing through all the words on the way. When we read a news story we might do the same, or we might skim some paragraphs that seem less interesting [15]. ",

" indentation and color-coding keywords is not as a direct aid for comprehension, but that they provide beacons for navigation. Crosby and Stelovsky [13] frown upon the practice of printing keywords in boldface, saying that “keywords are the least observed portions of a program’s text.” But this misses the point that clear visual identification of the keywords allows them to be identified at a glance, and helps developers to easily focus on the code between these keywords. ", " We need to design experiments "..." to really see whether indentation has an effect. ", " Results by Talsma et al. [52] indicate that, at least for beginning students, highlighting the block structure of code helps them focus their attention and leads to more linear reading. " indicates that visual cues affects mostly the readers with lower cognition powers.

2026.05.11/https://pmc.ncbi.nlm.nih.gov/articles/PMC3777945/ : " To summarize, creating less accessible perceptual presentation of text, or disfluent text (smaller fonts, less spacing) was found to have different effects on the reading speed and accuracy of skilled versus unskilled readers. In terms of size, larger font size enhanced reading speed and accuracy of younger and dyslexic readers and showed no effect on older children. In addition, it did not affect recall in older university students. However, bolding or italicizing text did improve long-term memory in older high school and university students. To the extent that text presentation affects reading rate and accuracy, we would expect it to influence reading comprehension as well. Thus, we hypothesized that for younger readers, manipulating text presentation by increasing disfluency compared to the standard text they are used to would impede comprehension, as they still receive important contextual cues from the print. For older children, who have already mastered the decoding and efficiency stages and thus rely less on actual visual cues, we hypothesized that increased disfluency (less familiar and accessibly text presentation) would function as a desirable difficulty, resulting in deeper processing and thereby increasing comprehension. " Headlines influences the memories of adults meanwhile the memories and concentration of younger children the most.

This sounds stretchy, yet makes sense with the assumption that the information-seeker searches like a search engine:

2026.05.11/https://jina.ai/news/on-the-size-bias-of-text-embeddings-and-its-impact-in-search/ : "

What Causes Size Bias?

Size bias in embeddings isn’t like positional biases in long-context models. It isn’t caused by architectures. It’s not inherently about size, either. If, for example, we had created longer documents by just concatenating copies of the same document over and over, it wouldn't show a size bias.

The problem is that long texts say more things. Even if they’re constrained by a topic and purpose, the whole point of writing more words is to say more stuff.

Longer texts, at least of the kind people normally create, will naturally produce embeddings that “spread” over more semantic space. If a text says more things, its embedding will have a lower angle with other vectors on average, independent of the subject of the text." in combination of 2026.05.11/ssol-journal.com/articles/10.61645/ssol.176 : Skimmers orientating on " specific goal, purpose " as the most important information they take with the first-impression-bias and the comma increasing the gap slightly for lower-vision-eyes and psychologically, when reading with an inner voice might explain or justify why the HT-AI sees this title as framing for the "Coinbase Stole"-narrative. That "Co." is lesser-known than "Coinbase", which resonates to more people's mental associations. "Company says: Coinbase Stole Patented Blockchain Network Tech" would be more accurate, which law360.com refused.

2026.05.11/https://medium.com/@andrew.e.blackburn/the-hidden-psychology-of-commas-what-punctuation-reveals-about-how-we-see-the-world-69168ecec7a3 : "The Comma as a Cognitive Separator

"; "With commas, the mind naturally separates them into "..." distinct identities.

This small stylistic difference can reveal whether a writer sees relationships as fused or distinct. Someone who omits commas might experience the world as an interconnected flow, while someone who inserts them methodically might experience life as a set of defined boundaries — each thing held apart and categorized." This passage can be interpreted as the comma splitting "Co. Says" apart from "Coinbase Stole Patented Blockchain Network Tech" regardless of their actual importance of reporting and communicating what happened.,

" A missing comma might suggest closeness or merging; a carefully inserted one could imply distinction or even emotional distance. ",

"belonging and distance, unity and otherness, all within a single line of text.

In relational graphology, punctuation acts as a projective cue — a subtle confession of who feels near or far within the writer’s inner world."

2026.05.11/https://www.youtube.com/watch?v=ikmcsdovc6g : "eye-tracking studies that reveal how commas cause readers to slow down momentarily, aiding comprehension and preventing misunderstandings." contradicts that commas are negative for understanding the headline and therefore is less of a framing of the "Coinbase Stole"-narrative. Although "1:22 Skilled readers relying on these 1:24 punctuation cues to avoid mistakes or to 1:27 quickly fix misunderstandings."

So headline-fonts influence memory of adults, even more children and mentally ill people with their attention-span with lower reading capabilities such as misinterpreting "Co." First-impression-bias seems universal. Blackness is preferable to dark-grayness for readers and therefore they focus on the blacker texts first. Less transparency on less texts below https://www.law360.com/articles/2475762/coinbase-stole-patented-blockchain-network-tech-co-says causes more focus in title, including re-reading it unless they are a disinterested hyper-reader looking at the feeds. When they understand "Co.", then this leads to better understanding.

Sincerely, Rejmer

”;”

Current Bias

Conner Productions

Tu., 2024-12-10, 19:52

On me

Hi Rejmer,

Check out the new “Current Bias” buttons e.g https://heliumtrades.com/media-bias/new-york-times

Conner”

Reply to:” Current Bias

”: “

Rejmer2017 0 2024-05-11, 21:59

On: Conner Productions

Dear HeliumTrades-Team,

Looking at archive.fo/2024.12.12/https://heliumtrades.com/balanced-news/?q=New%20York%20Times%20Media%20Bias , it would add more transparency if HeliumTrades had a constantly updated page of what and how the current mainstream-narrative is. In times of polarization, there might be 2 mainstream-narratives and still many national ones.

[https://archive.fo/2024.13.12/https://en.wikipedia.org/wiki/Influence_of_mass_media] : Earliest model "

Power of media effects phase

During the early 20th century, developing mass media technologies, such as radio and film, were credited with an almost irresistible power to mold an audience's beliefs, cognition, and behaviors according to the communicators' will.[17][18] The basic assumption of strong media effects theory was that audiences were passive and homogeneous." Their representative model is the archive.fo/2024.12.13/https://en.wikipedia.org/wiki/Hypodermic_needle_model : "The phrasing "hypodermic needle" is meant to give a mental image of the direct, strategic, and planned infusion of a message into an individual. But as research methodology became more highly developed, it became apparent that the media had selective influences on people.

", "Lazarsfeld's debunking of these models of communication provided the way for new ideas regarding the media's effects on the public. Lazarsfeld introduced the idea of the two-step flow of communication[11] in 1944.", "The model of the two-step flow of communication assumes that ideas flow from the mass media to opinion leaders and then to the greater public. They believed the message of the media to be transferred to the masses via this opinion leadership. Opinion leaders are categorized as individuals with the best understanding of media content and the most accessibility to the media as well. These leaders essentially take in the media's information, and explain and spread the media's messages to others.[13]", "Thus, the two step flow model and other communication theories suggest that the media does not directly have an influence on viewers anymore. Instead, interpersonal connections and even selective exposure play a larger role in influencing the public in the modern age.[15] Contemporary research suggests that individuals are more likely to form opinions through the two step flow process, and through the role of influencers and opinion leaders on social media outlets. Social media has become an increasingly individualized experience and process, thus users are likely to form opinions based on the content they are exposed to and interact with.[16]", "So it is not one generic mass media message, but many individualized messages, coordinated by a massive algorithm." Would it be too complex for HT-AI to analyze bias in and the recommend-algorithm themselves and treat social media differently from mainly one-way online print media and encyclopedias? And maybe a useful/useless tip mixing my thought with https://www.newsbusters.org/blogs/nb/nicholas-fondacaro/2016/11/30/cbs-boston-freelancer-tweets-trump-died-sleeping-calms-him : Social Media "is "one more commonly used "place for journalists to " express and therefore get more data for their their news firm's "..."bias" profile.

https://archive.fo/2024.12.13/https://en.wikipedia.org/wiki/Influence_of_mass_media : Newest model from media studies: "Preference-based effects model": "forcing communication scholars to rethink traditional effects models (Bennett and Iyengar, 2008).[35]", "

1. Media outlets have become increasingly tailored towards narrow ideological fragmented publics in order to create more lucrative advertising environments[37]

2. Individuals rely on self-selected information consistent with their prior beliefs aggregated into personalized feeds, called “echo chambers” or "filter bubbles"[38]

3. New media interfaces, such as tailored results from search engines, lead to narrow information tailoring by both voluntary and involuntary user input[39]

", "These three factors might also lead to rethinking strong media effects in the new media environment, including the concept of “tailored persuasion”.

"

CNN International [most accessible TV-channel influencing older and rural people globally (archive.fo/2024.12.13/https://cnnpressroom.blogs.cnn.com/cnn-fact-sheet/ , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2989719) except Russia (archive.fo/2024.12.13/https://edition.cnn.com/2022/03/09/media/warnermedia-discovery-russia/index.html )] with TV being most powerful (archive.fo/2024.12.13/https://patrick-kennedy.github.io/files/KennedyPrat_2019_slides.pdf content from 2018-04-13 . Patrick Kennedy also contributed to ssrn_id3271666_code1905252.pdf). BBC World Service [radio having higher reception area compare to TV and Internet (archive.fo/2024.12.12/https://news.un.org/en/story/2022/02/1111882 : 2022-02-13 : "radio is still going strong and at ITU we will continue to serve as the steward of global airwaves, ensuring we can connect safely, sustainably, and innovatively for centuries to come. Accessible and affordable, radio can reach practically everyone, everywhere. Its loyal listeners include people in big cities, those in small towns and villages, those in rural communities, and even those in the most isolated places on the planet.

Part of people’s trust in radio is due to its low cost and ubiquitous nature. Radio remains affordable and can be listened to everywhere, even when electricity or internet connectivity are not reliable. Radio is thereby one of the most popular means of communication, used by an overwhelming majority of people. In my view, radio leaves no one behind.", "with social networks, there is no individual responsibility. People can post what they want without being responsible for what they post.

On the other hand, with radio, there is always a person responsible for the radio programme that we are listening to. So, if you know that you are listening to a serious station, you know that the possibility of bouncing around, of new forms and is very low" ) , archive.fo/2024.12.13/https://publications.parliament.uk/pa/cm200910/cmselect/cmfaff/334/334.pdf : "While radio accounts for the largest proportion of the reach that the BBC World Service achieves (still with a reach of about 40 million) there are some markets, for example, Brazil, where online delivery “is now far more important than radio”", archive.fo/2024.12.13/https://www.bbc.com/mediacentre/2024/bbc-global-audience-measure] are center- to slightly left from Media Bias/Fact Check and contested with other media channels. FOX31 Denver as local news (according to transparency.tube 0.8 Mainstream News C (Center) 1.000 (archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/site_preds/labels_20201006/all_political_soft_tags_20201006.txt : ""), (https://archive.fo/2024.12.13/https://github.com/markledwich2/Recfluence : "Mainstream News: Reporting on newly received or noteworthy information. Widely accepted and self-identified as news (even if mostly opinion). Appears in either https://www.adfontesmedia.com or https://mediabiasfactcheck.com.") and no other labels when ignoring "C" where "Mainstream News" is defined as recently updating cable news) is slightly more left (archive.fo/2024.12.13/https://mediabiasfactcheck.com/kdvr-tv/), Policy Leanings: Somewhat Conservative but ranked "N/A" and uses mostly center but more right-wing sources (https://archive.fo/2024.12.12/https://ground.news/interest/kdvr). archive.fo/2024.12.13/https://www.biasly.com/sources/fox31-denver-kdvr-bias-rating/ : Bias: "0% Center" Policy Leanings: "20% Somewhat Conservative"

No mention in archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/datasets/recfluence_vis_channel_stats_20200727.soft_tags.txt .

archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/datasets/channel_review_20201025.csv : "CNBC International,Mainstream News,UCo7a6riBFJ3tkeHjvkXPn1g,C,0.9,C,Mainstream News,,0.85,sam,2020-10-06T00:00:00.0000000Z"/

"CNBC International,Mainstream News,UCo7a6riBFJ3tkeHjvkXPn1g,C,0.9,C,Mainstream News,,0.85,sam,2020-10-06T00:00:00.0000000Z" 2x tagged as MSM.

archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/site_preds/labels_20201006/all_political_soft_tags_20201006.txt : "UCo7a6riBFJ3tkeHjvkXPn1g 0.850 Mainstream News 1.0

UCo7a6riBFJ3tkeHjvkXPn1g 0.850 C 0.600"

archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/datasets/channel_review_20201025.csv : "CBS Los Angeles,Mainstream News,UCkH1uDkyuO9sVjSqdqBygOg,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z",

archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/site_preds/labels_20201006/all_political_soft_tags_20201006.txt : "UCkH1uDkyuO9sVjSqdqBygOg 1.000 Mainstream News 1.0

UCkH1uDkyuO9sVjSqdqBygOg 1.000 C 0.900"

"11Alive,Mainstream News,UCzF4Ryn8TKn64md77gS5Q5Q,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"

All of them have no mention in archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/datasets/recfluence_vis_channel_stats_20200727.soft_tags.txt .

"New York Daily News,Mainstream News,UCx-h2AWPCBJEqzH9HXe2ZIA,C,0.7,C,Mainstream News,,0.95,sam,2020-10-06T00:00:00.0000000Z"/

"New York Daily News,Mainstream News,UCx-h2AWPCBJEqzH9HXe2ZIA,C,0.7,C,Mainstream News,,0.7,mar,2020-07-06T03:15:50.2001521Z"+"UCx-h2AWPCBJEqzH9HXe2ZIA 0.950 Mainstream News 1.0

UCx-h2AWPCBJEqzH9HXe2ZIA 0.950 C 0.700" 2x MSM

has mention in archive.fo/2024.12.13/https://raw.githubusercontent.com/sam-clark/chan2vec/refs/heads/master/data/datasets/recfluence_vis_channel_stats_20200727.soft_tags.txt : "UCx-h2AWPCBJEqzH9HXe2ZIA MainstreamNews

UCx-h2AWPCBJEqzH9HXe2ZIA C

UCx-h2AWPCBJEqzH9HXe2ZIA MainstreamMedia" 3x MSM;

"Click On Detroit | Local 4 | WDIV,Mainstream News,UCqMdEOPBZbGPykVOhUqWqfA,C,0.95,C,Mainstream News,,0.95,sam,2020-10-06T00:00:00.0000000Z", "UCqMdEOPBZbGPykVOhUqWqfA 0.950 Mainstream News 1.0

UCqMdEOPBZbGPykVOhUqWqfA 0.950 C 0.900";

"Eyewitness News ABC7NY,Mainstream News,UCrlIS7z20CnVaCrMvdkig_g,C,1,C,Mainstream News,,0.95,sam,2020-10-06T00:00:00.0000000Z"/

"Eyewitness News ABC7NY,Mainstream News,UCrlIS7z20CnVaCrMvdkig_g,C,1,C,Mainstream News,UCBi2mrWuNuyYy4gbM6fU18Q,1,mar,2020-07-06T08:16:42.6998500Z"+"UCrlIS7z20CnVaCrMvdkig_g 0.950 Mainstream News 1.0

UCrlIS7z20CnVaCrMvdkig_g 0.950 C 0.800" 2x tagged as MSM.,

"WCPO 9,Mainstream News,UCQaDjAIpg-pd44ats-HXCyA,C,0.9,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z" "UCQaDjAIpg-pd44ats-HXCyA 0.900 Mainstream News 1.0

UCQaDjAIpg-pd44ats-HXCyA 0.900 C 0.700",

"KHON2 News,Mainstream News,UCtqFUxpLnV-RaraQVu1rMTw,C,0.95,C,Mainstream News,,0.95,sam,2020-10-06T00:00:00.0000000Z"

"Chicago Tribune,Mainstream News,UCB2aea_wLJJaklTOplAC82A,C,0.8333333333,C,Mainstream News,,0.5,mar,2020-07-06T03:15:50.2001279Z"/

"Chicago Tribune,Mainstream News,UCB2aea_wLJJaklTOplAC82A,C,0.8333333333,C,Mainstream News,,1,dae,2020-07-06T03:15:50.1988052Z"/

"Chicago Tribune,Mainstream News,UCB2aea_wLJJaklTOplAC82A,C,0.8333333333,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"/

"Chicago Tribune,Mainstream News,UCB2aea_wLJJaklTOplAC82A,C,0.8333333333,L,PartisanLeft|Mainstream News,,1,ann,2020-07-06T03:15:50.1994765Z", "UCB2aea_wLJJaklTOplAC82A 0.900 Mainstream News 1.0

UCB2aea_wLJJaklTOplAC82A 0.900 C 1.000" 4x scanned as MSM, 1x L, 1x PartsanLeft.

Soft tag:"UCB2aea_wLJJaklTOplAC82A MainstreamNews

UCB2aea_wLJJaklTOplAC82A C

UCB2aea_wLJJaklTOplAC82A MainstreamMedia" 5x MSM, 1x L, 1x PartisanLeft;

archive.fo/2024.12.13/https://mediabiasfactcheck.com/chicago-tribune/ : Right-center , archive.fo/2024.12.13/https://www.allsides.com/news-source/chicago-tribune : Low or initial confidence of Center, archive.fo/2024.12.13/https://adfontesmedia.com/chicago-tribune-bias-and-reliability/ : "Bias: -4.24" still "Bias: Middle", archive.fo/2024.12.13/https://www.biasly.com/sources/chicago-tribune-bias-rating/ : "Bias Score of 20% Somewhat Conservative

" and "Policy Leanings 36% Somewhat Conservative", archive.fo/2024.12.13/https://library.bu.edu/blumenthal/bias : "Leans Conservative": Chicago Tribune, archive.fo/2024.12.13/https://ground.news/interest/chicago-tribune : Latest stories uses 100% Center sources except the newest with lower than third of left-wing-sources and no right-wing sources., archive.fo/2024.12.13/https://www.quora.com/Is-the-Chicago-Tribune-really-an-honest-and-unbiased-newspaper-source sees Chicago Tribune positive, so more likely yes, it's unbiased for them. Mixed opinions between democrat, center-right and far-right in archive.fo/2024.12.13/https://old.reddit.com/r/illinois/comments/15jx9gd/chicago_tribune_bias/ , which reddit feed itself is left-bias (https://archive.fo/2024.12.13/https://news.umich.edu/u-m-study-explores-how-political-bias-in-content-moderation-on-social-media-feeds-echo-chambers/"For regular Reddit users, it should come as no surprise the site is, on average, left-leaning. The largest political subreddit on the website, /r/politics, is a bastion of Democratic support. It’s also borne out in our data and modeling of political opinion among users and moderators of the local subreddits we study.

Suffice to say that biased content moderation is not limited to any one side.", archive.fo/2024.12.13/https://michiganross.umich.edu/news/new-study-reddit-explores-how-political-bias-content-moderation-feeds-echo-chambers : "Within this dataset, they identify the political leanings of both commenters and moderators and find that if commenters had different political opinions than moderators, then they were more likely to have comments removed.") but bias depends on each subreddit. This subreddit uses "33% LEFT 54% CENTER 13% RIGHT" sources with Articles from Center leaning sources receiving 57% of the upvotes in r/illinois

Upvotes: "37% LEFT

57% CENTER

" & "ILLINOIS POLICY

R

906 Upvotes" as last of Top 10 from archive.fo/2024.12.13/https://ground.news/blindspotter/reddit/illinois.,

"KHOU 11,Mainstream News,UCXwRxm0zS0jBNTMOVI6xZJw,C,0.95,C,Mainstream News,,0.95,sam,2020-10-06T00:00:00.0000000Z", "UCXwRxm0zS0jBNTMOVI6xZJw 0.950 Mainstream News 1.0

UCXwRxm0zS0jBNTMOVI6xZJw 0.950 C 0.700",

"ABC10,Mainstream News,UCT350j4u6alUKyF9eu2bGug,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"+"UCT350j4u6alUKyF9eu2bGug 1.000 Mainstream News 1.0

UCT350j4u6alUKyF9eu2bGug 1.000 C 0.900",

"LOCAL 12,Mainstream News,UC673WfesrYoCgG9VsekGlEQ,C,0.9,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"+"UC673WfesrYoCgG9VsekGlEQ 0.900 Mainstream News 1.0

UC673WfesrYoCgG9VsekGlEQ 0.900 C 0.900",

"The Canadian Press,Mainstream News,UCj6EKBe990fanr4MSh45Alw,C,0.85,C,Mainstream News,,0.85,sam,2020-10-06T00:00:00.0000000Z"+"UCj6EKBe990fanr4MSh45Alw 0.850 Mainstream News 1.0

UCj6EKBe990fanr4MSh45Alw 0.850 C 0.700",

"The Boston Globe,Mainstream News,UCcNkwfTQuXAxAFwoAUHweJA,L,1,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"/

"The Boston Globe,Mainstream News,UCcNkwfTQuXAxAFwoAUHweJA,L,1,L,Mainstream News,,1,mar,2020-07-06T03:15:50.2001296Z"/

"The Boston Globe,Mainstream News,UCcNkwfTQuXAxAFwoAUHweJA,L,1,L,PartisanRight|Mainstream News,,1,ann,2020-07-06T03:15:50.1994784Z"/

"The Boston Globe,Mainstream News,UCcNkwfTQuXAxAFwoAUHweJA,L,1,C,Mainstream News,,1,dae,2020-07-06T03:15:50.1988070Z"+"UCcNkwfTQuXAxAFwoAUHweJA 0.900 Mainstream News 1.0

UCcNkwfTQuXAxAFwoAUHweJA 0.900 C 0.800"+"UCcNkwfTQuXAxAFwoAUHweJA L

UCcNkwfTQuXAxAFwoAUHweJA MainstreamNews

UCcNkwfTQuXAxAFwoAUHweJA MainstreamMedia" is left-leaning in soft tag. 4x MSM. 1x PartisanRight. 7x L;

"WCVB Channel 5 Boston,Mainstream News,UC72UssJ1DNQcakZXm-B2-zw,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"+"UC72UssJ1DNQcakZXm-B2-zw 1.000 Mainstream News 1.0

UC72UssJ1DNQcakZXm-B2-zw 1.000 C 0.800",

"KOIN 6,Mainstream News,UCXN7rPhZK6Rp8lMhvpSri_Q,C,0.95,C,Mainstream News,,0.95,sam,2020-10-06T00:00:00.0000000Z"+"UCXN7rPhZK6Rp8lMhvpSri_Q 0.950 Mainstream News 1.0

UCXN7rPhZK6Rp8lMhvpSri_Q 0.950 C 0.600",

"WCNC,Mainstream News,UC-RxXi2Xws6Uk22vp-sLbGA,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"+"UC-RxXi2Xws6Uk22vp-sLbGA 1.000 Mainstream News 1.0

UC-RxXi2Xws6Uk22vp-sLbGA 1.000 C 0.800",

"NewsChannel 5,Mainstream News,UCO6kzQ-7wcG0x8W5LpBA9RQ,C,0.9,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"+"UCO6kzQ-7wcG0x8W5LpBA9RQ 0.900 Mainstream News 1.0

UCO6kzQ-7wcG0x8W5LpBA9RQ 0.900 C 0.800";

"KVUE,Mainstream News,UCxXTyFekH99JnS3qaXIQW7A,C,0.9666666667,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"/

"KVUE,Mainstream News,UCxXTyFekH99JnS3qaXIQW7A,C,0.9666666667,C,Mainstream News,,1,ann,2020-09-15T17:26:40.2107163Z"/

"KVUE,Mainstream News,UCxXTyFekH99JnS3qaXIQW7A,C,0.9666666667,C,Mainstream News,,1,scl,2020-09-14T19:31:39.4349451Z"/

"KVUE,Mainstream News,UCxXTyFekH99JnS3qaXIQW7A,C,0.9666666667,L,Mainstream News,UCBi2mrWuNuyYy4gbM6fU18Q,0.9,mar,2020-09-14T05:51:28.8371858Z"+"UCxXTyFekH99JnS3qaXIQW7A 1.000 Mainstream News 1.0

UCxXTyFekH99JnS3qaXIQW7A 1.000 C 0.900" 1x L.;

"6abc Philadelphia,Mainstream News,UCw77677G3EAODp61b0izs7w,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"+"UCw77677G3EAODp61b0izs7w 1.000 Mainstream News 1.0

UCw77677G3EAODp61b0izs7w 1.000 C 0.800",

"CBS Boston,Mainstream News,UCi4fcBVyo4CAnmdgXeO-NvA,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"+"UCi4fcBVyo4CAnmdgXeO-NvA 1.000 Mainstream News 1.0

UCi4fcBVyo4CAnmdgXeO-NvA 1.000 C 1.000" archive.fo/2024.12.13/https://mediabiasfactcheck.com/cbs-boston-wbz-tv/ : Left-Center, https://archive.fo/2024.12.13/https://www.biasly.com/sources/cbs-boston-bias-rating/ : Bias: -6% Center, Policy Leanings: -8%;Politician Portrayal: 91% Negative, archive.fo/2024.12.13/https://www.newsbusters.org/blogs/nb/nicholas-fondacaro/2016/11/30/cbs-boston-freelancer-tweets-trump-died-sleeping-calms-him : "As outrageous has Leavitt’s tweet was, CBS Boston’s public relations kneejerk reaction was flat out ridiculous. The local news outlet responded to more than 100 irate twitter users, first proclaiming, “Mr. Leavitt is not a current or former employee of WBZ-TV or CBS. His comments do not reflect the views of our station.” Before changing it to, “Mr. Leavitt does not and never has worked for WBZ-TV or CBS.” It’s noteworthy that they argued that he does not “reflect the views” of the network, since they claimed he never worked for them.";

"NBC4 Columbus,Mainstream News,UCDFLiE2iGUvlZMmhemzy6eA,C,0.85,C,Mainstream News,,0.85,sam,2020-10-06T00:00:00.0000000Z"+"UCDFLiE2iGUvlZMmhemzy6eA 0.850 Mainstream News 1.0

UCDFLiE2iGUvlZMmhemzy6eA 0.850 C 0.900";

"United States Broadcasting,Mainstream News,UCvqoktDC6KhnIPz2xTIjMFA,C,0.9,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"+"UCvqoktDC6KhnIPz2xTIjMFA 0.900 Mainstream News 1.0

UCvqoktDC6KhnIPz2xTIjMFA 0.900 C 0.900";

"Chicago Sun-Times,Mainstream News,UCvU3ALK4osa_RV4znIToB2Q,C,0.9,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"+"UCvU3ALK4osa_RV4znIToB2Q 0.900 Mainstream News 1.0

UCvU3ALK4osa_RV4znIToB2Q 0.900 C 0.800";

"MassLive,Mainstream News,UCDmXyuvUm8aDC4asAOgFrgQ,C,0.9,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"+"UCDmXyuvUm8aDC4asAOgFrgQ 0.900 Mainstream News 1.0

UCDmXyuvUm8aDC4asAOgFrgQ 0.900 C 0.700";

"FOX10 News,Mainstream News,UC_B1lpgj2DH_wO8T1jJnSYA,C,0.9,C,Mainstream News,,0.9,sam,2020-10-06T00:00:00.0000000Z"+"UC_B1lpgj2DH_wO8T1jJnSYA 0.900 Mainstream News 1.0

UC_B1lpgj2DH_wO8T1jJnSYA 0.900 C 0.900";

"WMAR-2 News,Mainstream News,UCADaBeM0qiKEZIw9_OuYmuA,C,0.95,C,Mainstream News,,0.95,sam,2020-10-06T00:00:00.0000000Z"+"UCADaBeM0qiKEZIw9_OuYmuA 0.950 Mainstream News 1.0

UCADaBeM0qiKEZIw9_OuYmuA 0.950 C 0.900";

"WKMG News 6 ClickOrlando,Mainstream News,UCjpzEgbbDUg4YC6vpSrzsyg,C,1,C,Mainstream News,,1,sam,2020-10-06T00:00:00.0000000Z"+"UCjpzEgbbDUg4YC6vpSrzsyg 1.000 Mainstream News 1.0

Virtually forever. We have a lot of free space and although the archive grows with time, the storage and bandwidth get cheaper."

Have a good day from Rejmer.

Rejmer2017 0 <rejmer2017@gmail.com>

So., 8. Jan. 2023, 03:29

an contact@email.heliumtrades.com

Add: By scrolling further from the middle to the border out or halfly donut-like with cursor or thumb many times in HeliumTrades bias-wheel by sources such as law360, little bias/es are showed at different size-scale.

Rejmer2017 0 <rejmer2017@gmail.com>

So., 8. Jan. 2023, 04:06

an contact@email.heliumtrades.com

P. S. S.: There's rarely an occurrence where during that zooming, it shows a bit "Sensational" in bias-wheel too, but by restarting the site, "Sensational" disappears. That situation was in begin January 2023 discovered and could be a bug.

Also https://web.archive.org/web/https://heliumtrades.com/media-bias/prweb.com has bias-wheel to "Most X Articles" by having 0 Prescriptive bias with the most prescriptive articles.

” ; 2023-01-06 : 23:46 : “City Journal Bias

Conner Productions <conner@connerpro.com>

Sa., 7. Jan. 2023, 00:46

an mich

Hi Rejmer,

I really appreciate the feedback.

1.) I've updated the model to include more headlines, which has greatly increased the accuracy of the bias analyses. City Journal is looking more accurate now.

2.) The bias wheel will only appear if there are a minimum number of articles to look at. I've increased the number of articles being fed in so that more sources can have wheel charts e.g NCBI.

3.) On the source overview page, I've added a sortable composite "bias score" (desktop only).

4.) I've integrated Helium with Archive.org, which will increase the data they are able to store of my site.

5.) I've added better perspective/bias analysis with citations to stories e.g https://heliumtrades.com/balanced-news/russian-troops

Best,

Conner

” ; 2023-01-02 : 13:25 : “City-Journal is right-wing but detected as biased against democrats

Rejmer2017 0 <rejmer2017@gmail.com>

Mo., 2. Jan. 2023, 14:25

an contact@email.heliumtrades.com

Dear HeliumTrades-Team,

Even considering that the summary fromhttp://web.archive.org/web/20230102135055/https://heliumtrades.com/media-bias/city-journal only focuses on headlines and removing source names, I want to point out that it is against democrats contra to that page said anti-republican. https://www.city-journal.org/when-ideology-trumps-empathy signals right-wing in my opinion and their reddit attracts right-wingers and subreddit ones such as ProGun. Media Bias/Fact Check, Wikipedia, Reddittor, Wikidata and AllSides agrees on a conservative city-journal.org notion.

https://mediabiasfactcheck.com/city-journal/https://www.allsides.com/news-source/city-journal-media-bias https://en.wikipedia.org/wiki/City_Journal https://www.reddit.com/r/slatestarcodex/comments/6h7h7d/city_journal_recommendation_for_rightwing/https://www.wikidata.org/wiki/Q5123254https://www.reddit.com/domain/city-journal.org/top/?sort=top&t=month

Right-wing audience founding:https://apps.apple.com/us/app/city-journal/id420931366?see-all=reviewshttps://twitter.com/CityJournal/status/1609655706340278274?cxt=HHwWhIC-scXV0tYsAAAA

Catched right-wing headlines:

https://www.tandfonline.com/doi/abs/10.1080/08913810508443641

Also a cleaner look for the headlines:https://news.ycombinator.com/from?site=city-journal.org

Useful link in general maybe:https://www.demblognews.com/2017/10/disinformation-news-list.html

Have a good day, Rejmer.

Rejmer2017 0 <rejmer2017@gmail.com>

Mo., 2. Jan. 2023, 14:26

an contact@email.heliumtrades.com

*City-Journal is right-wing but detected as biased against republicans and the Trump-Administration

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