Today we’re going to use our graphic design skills to create a custom newspaper..
This newspaper will be dated 2026-01-23. Be sure to update both the date and the day of the week
Note: I’d like to have custom images or infographics for each article. Do that if you can. If you can’t, leave a placeholder in the markdown and I’ll figure something out. The content is below followed by the style guide.
Because this job has a lot of moving pieces, you’ll probably want to break it up into small chunks so that you can pick things back up from where you left them if you timeout or in some other way are unable to continue. One idea is that you can create the html file in a more manageable way by breaking it into parts and then assembling:
Let’s title the newspaper the Review, with a subhead of something catchy and audience pleasing that relates to today’s themes.
VOL. I, NO. 48 • FRIDAY, JANUARY 23, 2026 • PRICE: ONE SLIGHTLY SUSPICIOUS CITATION
THE REVIEW
“Because somebody has to read all this stuff”
Welcome to the Archipelago, Dear Reader
Your Weekly Guide to the Crumbling Edifice of Human Knowledge
Welcome, dear reader, to a special edition of The Review, in which we examine the curious state of modern scholarship—a world where a Welsh molecular biologist can earn $2.6 million for spotting dodgy pixels, where scientists flee one social media platform for another like academics escaping a conference dinner, and where “kidney disappointment” is not a medical condition but evidence of fraud.
This week’s collection of stories shares a common thread: the institutions we built to create and verify knowledge are simultaneously indispensable and obsolete. The peer review system that once guaranteed quality now cannot keep pace with paper mills churning out fraudulent articles faster than reviewers can read them. The social media platforms that connected researchers across disciplines are fragmenting into echo chambers of competence. And the funding agencies that supported American science face budget proposals that would make a medieval monastery look well-endowed.
We have gathered the facts, surveyed the wreckage, and located what humor we could among the footnotes. Inside you will find tales of sleuths and scoundrels, algorithms and ancients, and the eternal question that haunts every researcher: “But will this get cited?”
Whether you are an academic wondering where your field went, a taxpayer wondering where your research dollars went, or simply someone who enjoys watching large institutions experience what the management consultants call “structural adjustment,” we invite you to pull up a chair. The commons are on fire, but at least the light is good for reading.
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The Man Who Made Pixel-Peeping Pay
A Welsh biologist’s side hustle in spotting fraudulent images just earned him millions—and may have changed science forever
Sholto David has an unusual hobby. While others might spend their evenings watching television or pursuing gentle recreations, David—a molecular biologist working at a biotech firm in Wales—spends his scanning scientific papers for doctored images. Zoom in. Enhance. Compare. Repeat. It is tedious work, the kind that causes eye strain and existential doubt. It also just earned him $2.63 million.
In December 2025, the Dana-Farber Cancer Institute, one of America’s most prestigious cancer research centers, agreed to pay $15 million to settle allegations that its researchers manipulated images in federally funded studies. David, who had flagged the problems on the blog For Better Science and then filed a lawsuit under the False Claims Act, received his share as a whistleblower’s reward. The remaining money returns to the National Institutes of Health, which originally funded the questionable research.
The settlement arrived with remarkable speed—just twenty months from complaint to resolution, a blink of an eye in the typically glacial world of research integrity disputes. “In False Claims Act-speak, usually cases take at least three years from the filing to some resolution, and usually much longer than that,” noted Eva Gunasekera, a whistleblower attorney, in comments to Retraction Watch.
“Most of the evidence is public and has been in plain sight for a long time for people tenacious enough to track it all down and bring it all together.”
— Eugenie Reich, attorney for Sholto David
What made the evidence so damning? The fraudulent papers, Dana-Farber admitted, “reused images to represent different experimental conditions; duplicated images to represent different testing conditions, mice, and/or timepoints; or rotated, magnified, or stretched images.” In plain English: the same picture appeared multiple times pretending to be different experiments. A Western blot that should have shown one result was flipped, cropped, and resubmitted as evidence of another.
The implications extend far beyond one institution. David has flagged more than 6,000 papers on PubPeer, the anonymous platform where researchers critique published work. Elisabeth Bik, another prominent sleuth who left her research position to focus full-time on fraud detection, has contributed to more than 1,133 retractions. These volunteer investigators operate without institutional authority, formal credentials in research integrity, or office hours. They work from home, often at night, armed with nothing but screen magnification tools and stubborn conviction.
“It represents a huge incentive to continue with our efforts,” said Corrado Viotti, an Italian plant biologist and integrity sleuth, “and sets a precedent which will likely push U.S. institutes to act upon notification of fraud.”
The Dana-Farber settlement has transformed debunking from a thankless hobby into a potentially lucrative career path. The False Claims Act’s qui tam provisions allow private citizens who report fraud against the government to receive a portion of any recovery. Scientific fraud involving federal grants is no longer merely an academic sin; it is a financial liability that can generate multimillion-dollar judgments.
David, for his part, plans to keep his day job. “I’m not a well-off person, nor is my job highly paid,” he told reporters. “This will make a big difference for me, but only if I’m sensible with it.”
[Placeholder for image: Portrait illustration of a figure examining a computer screen with magnifying glass, scientific papers scattered around—pencil sketch style]
For Further Reading: Perspectives
PRO “Misconduct sleuth wins $2.63 million from major cancer institute”
Science’s coverage emphasizes that volunteer sleuths are filling gaps left by institutional failure and that financial incentives may encourage more accountability.
Source: science.org — Gupta (December 2025)
CON “The rise of the independent, AI-assisted whistleblower”
Radical Compliance notes concerns about amateur investigations potentially lacking sophistication to distinguish genuine fraud from honest error, and the reputational risks of public accusations.
Source: radicalcompliance.com — Cassin (December 2025)
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When “Breast Cancer” Becomes “Bosom Peril”
The bizarre language of scientific fraud reveals an industrial-scale problem hiding in plain sight
Have you ever encountered “counterfeit consciousness” in a research paper? How about “kidney disappointment,” “cruel temperature,” or “Big Mac data”? If these phrases sound like the fever dreams of a malfunctioning thesaurus, congratulations—you have discovered the linguistic fingerprints of scientific fraud.
Welcome to the world of “tortured phrases,” the nonsensical word sequences that have become the primary forensic evidence in a war against paper mills—organizations that mass-produce and sell fake research papers to academics desperate to pad their publication records.
The mechanism is elegantly stupid. To avoid plagiarism-detection software, fraudsters run stolen text through paraphrasing tools that substitute synonyms without understanding context. “Artificial intelligence” becomes “counterfeit consciousness.” “Mean square error” becomes “mean square blunder.” “Signal to noise” becomes “flag to clamor.” And “breast cancer,” in one memorable instance, became “bosom peril.”
Guillaume Cabanac, a computer scientist at the University of Toulouse and co-founder of the Problematic Paper Screener, has built an automated tool that combs through 130 million scientific publications every week hunting for these linguistic absurdities. As of late 2025, more than 7,500 tortured phrases have been added to the detection list, and the tool has been instrumental in more than 3,000 retractions.
“Science doesn’t auto-correct. It needs people who want to dedicate time and effort to identify problems and then to contact the publishers asking for the retraction.”
— Guillaume Cabanac, University of Toulouse
The numbers are staggering. A study published in PNAS in August 2025 documented the arithmetic of the crisis: fraudulent research output is doubling approximately every 1.5 years. Retraction rates are increasing only every 3.5 years. The gap between fraud production and fraud detection is widening exponentially. Researchers estimate that more than 400,000 fraudulent articles may have entered the scientific literature over the past two decades.
One paper mill network identified in 2025—Tanu.pro—was linked to 1,517 fraudulent papers across 380 journals, involving more than 4,500 scholars from 46 countries. This is not isolated misconduct. This is organized crime operating at industrial scale.
The Hindawi crisis illustrated how deep the rot can go. In 2023, the publisher retracted more than 8,000 articles after investigations revealed widespread paper mill infiltration. In 2024, Wiley, which had acquired Hindawi, shut down 19 Hindawi-branded journals entirely and discontinued the brand altogether. An entire publishing imprint—collapsed.
The publishers are fighting back with automated tools: image forensics to scan for pixel-level duplications, authorship audits to catch suspicious additions, and linguistic screeners integrated into submission workflows. Taylor & Francis reported auditing 452 manuscripts where authors were added after submission—a classic paper mill tactic—and denied 81 percent of those requests.
But the arms race continues. As detection tools improve, paper mills adapt. And somewhere, right now, someone is writing a paper about “Big Mac data” that may slip through the cracks.
[Placeholder for infographic: Side-by-side comparison showing “Standard Term” vs “Tortured Phrase” translations—e.g., “Neural networks” → “Fake neural organizations,” styled as a decoder ring]
For Further Reading: Perspectives
PRO “Stamp out paper mills—Science sleuths on how to fight fake research”
Nature’s collection of expert commentary from research integrity specialists calls for coordinated action and celebrates volunteer sleuths as essential to scientific self-correction.
Source: nature.com — Abalkina et al. (2025)
CON “AI tools combat paper mill fraud but won’t fix the system”
Chemistry World’s analysis argues that detection tools are “rearranging deck chairs on the Titanic” without addressing the publish-or-perish pressures that create demand for paper mills in the first place.
Source: chemistryworld.com — Sanderson (October 2025)
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The Great Academic Migration
Scientists are fleeing X for Bluesky, but they’re not going together
For a decade, Twitter—now X—served as the global faculty lounge. Epidemiologists argued with historians. Preprints went viral before journals could review them. The informal networks that determine whose ideas gain traction were forged in real time, one snarky subtweet at a time.
By January 2026, that space is a ghost town.
A comprehensive study of 276,434 scholars found that 18 percent had transitioned to Bluesky, the social media platform that looks like early Twitter before it learned to monetize your anxieties. Rates were significantly higher among active users. The migration wasn’t sudden but cumulative—a slow bleed triggered by platform changes under Elon Musk’s ownership, algorithmic shifts that deprioritized external links, and the reinstatement of accounts that had been banned for harassment.
Then came the American presidential election of November 2024, which opened the floodgates. Bluesky gained 20 million users in weeks. For scientists, the network started to look like home again.
“Twitter sucks now and all the cool kids are moving to Bluesky,” declared David Shiffman, a marine biologist and public science engagement specialist, in the title of his August 2025 paper in Integrative and Comparative Biology. His survey of 800 scientists confirmed what everyone already suspected: Twitter is no longer fit for purpose.
“For many years, Twitter was the leading platform used by academics for a wide variety of professional uses. It’s no longer fit for purpose and is being abandoned by scientists in droves.”
— David Shiffman, marine biologist
But here’s the complication: the migration did not move as a unified body. It sorted.
Computer scientists, privacy advocates, and engineers gravitated to Mastodon, the federated platform built on the ActivityPub protocol. Its complexity—requiring users to choose a “server” or “instance” with its own moderation policies—appealed to those who valued infrastructural sovereignty. Humanities scholars, social scientists, journalists, and science communicators moved predominantly to Bluesky. Its centralized interface mimicked the conversational dynamics that made early Twitter useful.
The result is not merely a change of venue. It is epistemic segregation. A historian on Bluesky is increasingly unlikely to encounter the technical debates of a cryptographer on Mastodon. The “water cooler” collisions that once produced interdisciplinary sparks—uncomfortable, often unproductive, but occasionally transformative—are becoming rare.
Why did scholars move when they did? The research reveals a striking asymmetry: information sources drive migration far more powerfully than audience. Scholars did not flee X because they lost followers; they fled because they lost the people they followed. When a field’s “prestige nodes”—highly cited scholars, major journals’ social media accounts—moved, the network followed rapidly.
Some researchers see opportunity in the fragmentation. “Smaller, self-governed communities may sacrifice reach for safety, serendipity for coherence. That trade may be worth it,” argues one perspective.
Others mourn what was lost. “If disciplines retreat into their own platforms, governed by their own norms, the collective error-correction mechanism weakens,” warns the counterargument. “The archipelago may be more comfortable than the chaotic commons, but comfort is not the purpose of science.”
Protocol bridges—middleware solutions like Bridgy Fed that translate between Mastodon and Bluesky—represent a refusal to accept the sorting as final. But these bridges are maintained by volunteers, depend on APIs that platforms can change at will, and raise unresolved questions about consent. The scientific community is building its communication infrastructure on “duct tape and good intentions.”
For most scholars, X is history. Where they go next remains contested.
[Placeholder for visualization: Sankey diagram showing flows from central “X/Twitter” node to divergent destinations—Bluesky (dominant flow), Mastodon (smaller, distinct flow), Threads (minor), “Silence” (significant)—with discipline labels on each flow]
For Further Reading: Perspectives
PRO “Like ‘old Twitter’: The scientific community finds a new home on Bluesky”
Science magazine’s coverage celebrates Bluesky’s rapid emergence as the new online gathering place for researchers, with its welcoming features and critical mass of scientists.
Source: science.org — Kupferschmidt (November 2024)
CON “Bluesky will trap academics in the same way Twitter/X did”
The LSE Impact Blog warns that the same market dynamics that led to disillusionment with Twitter could ensnare academic Bluesky users, as commercial platforms maximize switching costs to retain users.
Source: blogs.lse.ac.uk — Carrigan (March 2025)
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Your Tax Dollars at Work (Maybe)
Congress saves science funding from the chopping block—but the future remains uncertain
The Trump administration’s proposed budget for fiscal year 2026 had a certain brutal clarity: cut the National Institutes of Health by 5.1 billion (57 percent), and reduce the Department of Energy’s Office of Science by $1.1 billion (14 percent). The Institute of Museum and Library Services? Eliminate it entirely.
Congress largely said no.
The final appropriations provided NSF with approximately 9 billion but far above the proposed 400 million raise rather than the requested $18 billion cut. Even in a polarized political environment, senators from both parties appear to enjoy the economic benefits of research funding flowing to their districts.
“The Senate in particular tends to be very supportive of science, in part because it brings funding to senators’ districts,” notes Ian Banks, director of the science policy team at the Foundation for American Innovation.
But survival is not the same as stability. By mid-2025, NIH had cut about 2,100 grants worth around $9.5 billion. Many were reversed after lawsuits, but much of the funding remains in legal limbo. The gap between appropriated budgets and actual funding has left researchers in a state of suspended animation—unable to plan, unable to commit, unable to hire.
“Make no mistake: slashing NIH research by 40% will delay or deny life-saving treatments for patients desperately waiting for cures.”
— Mark Becker, Association of Public and Land-grant Universities
Meanwhile, the “One Big Beautiful Bill,” signed on July 4, 2025, introduced a new headache for wealthy universities: a tiered endowment tax. The previous flat 1.4 percent excise tax on endowment income became a graduated system reaching 8 percent for institutions with more than $2 million in endowment assets per student.
For Harvard—with more than 53 billion—this could mean a fivefold increase in tax burden. Yale warned it would pay an estimated 500 million annually, equivalent to the total cost of attendance for more than 5,600 undergraduates—more than MIT’s current undergraduate population.
The universities argue this will harm financial aid for low- and middle-income students. Analysis by Wellesley economist Phillip Levine found that highly endowed private institutions charge students from lower- and middle-income families the lowest net price of any category of institution—lower even than public universities.
The administration’s response, as articulated by the House Ways and Means Committee: the tax demands accountability from “woke, elite universities.”
“That is an admission of pure spite,” countered Sally Kornbluth, president of MIT, in a Boston Globe op-ed.
Whether spite or policy, the combined effect of budget uncertainty and endowment taxation is pushing universities toward private and foreign capital. New York University reported a 40 percent increase in private research funding in 2025, including a $40 million partnership with the South Korean government. Global brands can replace lost federal dollars with international partnerships. Regional public universities, lacking global draw, are left exposed to the shrinking federal pie.
Some see opportunity in the chaos. “We’ve paid a tremendous cost in cutting research and stopping research projects partway through,” says Banks. “We can cash that in and use it as an investment in institutional reform for a more productive scientific enterprise if we are willing to think about what a reform of NSF or NIH looks like.”
Others are less sanguine. “None of us were saying, ‘Oh, just literally blow up the whole system,’” notes historian of science Arthur Daemmrich. “People who care a lot about America have lost jobs. It’s been very hard in that sense.”
[Placeholder for bar chart: Comparing “Proposed Cuts,” “Final Appropriations,” and “Actual Awards Distributed” for NIH, NSF, and DOE, showing disconnect between what was budgeted and what was spent]
For Further Reading: Perspectives
PRO “Why some conservatives see opportunity in the research funding crisis”
The Foundation for American Innovation and allies argue that disruption could catalyze overdue reforms to grant review processes and scientific priorities.
Source: cen.acs.org — C&EN’s year-end coverage (December 2025)
CON “Unprecedented cuts to the National Science Foundation endanger research”
The Conversation’s expert analysis documents how cutting NSF harms economic growth, national security, and everyday life—from earthquake-resistant buildings to hurricane forecasts.
Source: theconversation.com — Fischer et al. (May 2025)
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The Dark Forest Comes to Campus
As geopolitical tensions rise, research security measures transform the open academy
In Liu Cixin’s science fiction trilogy The Three-Body Problem, the “Dark Forest” theory explains the silence of the cosmos: the universe is hostile, and any civilization that reveals its location is instantly destroyed by predators. Therefore, silence is the only rational survival strategy.
In 2025, the Dark Forest migrated from fiction into policy.
Research security—anticipating, preventing, and managing risks including the misappropriation of R&D that could harm national or economic security—has become one of the fastest-growing areas of science policy. According to OECD data, countries reported 250 policy initiatives related to research security in 2025, almost ten times more than in 2018. The number of countries with such measures rose from 12 to 41.
The primary vehicle in the United States is the Cybersecurity Maturity Model Certification (CMMC), originally designed for defense contractors. These requirements have bled into university research labs handling “Controlled Unclassified Information.” Panelists at the EDUCAUSE 2025 conference described the transformation as the birth of “The Secured Academy.”
Before 2025, universities operated as open forums. Researchers shared data freely, used personal devices, collaborated across borders with minimal friction. By 2026, “tiered responsibility” frameworks are being implemented. Research Security Officers now hold veto power over collaborations. Labs are becoming “compartmentalized,” with access controls mimicking classified environments.
“Research security means keeping international cooperation as open as possible and as closed as necessary.”
— OECD Science, Technology and Innovation Outlook 2025
The argument for securitization is geopolitical realism. If Open Science is so beneficial, why are rivals increasingly locking down their own data repositories while harvesting Western data? The rational response, advocates argue, is to pivot to “Secure Science”—sharing data only within a “trusted circle” of allied nations.
Critics warn of costs that exceed benefits. UNESCO argued at 2025 meetings that the rise of “Science Diplomacy” as a tool of security policy risks erecting barriers whose societal harm outweighs security gains.
The Dark Forest dynamic operates at the individual level too. The risks of public academic engagement—harassment, doxxing, political targeting—now often outweigh the rewards. Valuable scientific discourse is moving into semi-private Discords and Slacks, moderated Mastodon instances, encrypted Signal groups. The era of the “academic influencer” chasing virality is waning. In its place: the “networked specialist” who prioritizes secure, high-fidelity communication with peers over broad public engagement.
Visibility has become vulnerability. The commons have emptied into the forest.
This transformation raises uncomfortable questions. How do we balance legitimate security concerns against the benefits of open collaboration? Who decides which research is sensitive and which is safe? And what happens to science when the default assumption shifts from trust to verification?
“Protecting research does not mean closing doors,” the OECD argues. “When managed well, research security can reinforce trust, integrity and resilience in the global science system.”
Whether it will be managed well—or whether the Dark Forest becomes self-fulfilling prophecy—remains the open question.
[Placeholder for stylized illustration: A map showing fragmented islands labeled “Bluesky,” “Mastodon,” “arXiv,” “DeSci,” connected by thin bridges, surrounded by dark water. The mainland, crumbling, labeled “The Old Republic of Science.“]
For Further Reading: Perspectives
PRO “What is research security and why does it matter for global science?”
The OECD blog makes the case that proportionate, risk-based safeguards can protect sensitive research while keeping collaboration open.
Source: oecd.org — OECD (November 2025)
CON “The perceived tension between open science and research security”
The Helmholtz Open Science Office commentary argues that open science and security are not inherently opposed, and warns against using security as a pretext for closing beneficial collaborations.
Source: os.helmholtz.de — Helmholtz Association (2025)
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EDITORIAL
Learning to Navigate the Archipelago
The unified “Republic of Science” is dead. What replaces it is not chaos—not yet—but archipelago: islands of practice separated by protocols, politics, and divergent economies of prestige.
We have documented in this issue how each pillar of the old system faces its own crisis. Peer review cannot keep pace with industrial-scale fraud. Social media platforms fragment by discipline and ideology. Federal funding lurches between proposed devastation and congressional rescue. Security requirements transform open labs into controlled environments. And through it all, the volunteer sleuths keep finding the fraud that institutions miss.
The temptation is despair. If the paper mills are winning, if the platforms are sorting, if the money is uncertain, why bother? Why not retreat into the Dark Forest and communicate only with trusted peers through encrypted channels?
This editorial argues against despair—not because the problems are illusory, but because the solutions are emerging.
Consider the Dana-Farber settlement. Yes, it reveals institutional failure: research misconduct persisted for years, peer review missed the manipulated images, and it took an outsider with no formal authority to force accountability. But it also reveals that accountability is possible. The False Claims Act provides a mechanism. The sleuths have developed tools. The settlement establishes precedent. The system can correct itself—not automatically, but with effort.
Consider the platform migration. Yes, the fragmentation is real: historians and cryptographers increasingly inhabit different digital spaces. But the bridges are being built. Protocol middleware allows cross-platform interaction. Community standards are forming. Scientists are learning that infrastructure matters—that who owns the server shapes who speaks. This is not naivety lost but sophistication gained.
Consider the funding crisis. Yes, the proposed cuts would have devastated American research. But Congress rejected them—across party lines. The bipartisan consensus that science matters to districts may be instrumental rather than principled, but it exists. The endowment tax forces wealthy universities to articulate why their accumulated wealth serves public purposes. That conversation, uncomfortable as it is, may ultimately strengthen the case for research.
Consider the security transformation. Yes, the Secured Academy restricts openness. But the alternative—allowing systematic exploitation of open science by states that do not reciprocate—is not sustainable either. The challenge is proportionality: restrictions calibrated to actual risk rather than bureaucratic precaution. This requires expertise, judgment, and constant recalibration. It is hard. It is also necessary.
The task is not to rebuild the Republic. The task is to learn how to navigate the Archipelago—building bridges that keep the islands connected while fortifying each shore against the rising tides of fraud, surveillance, and enclosure.
What does this require? First, institutional humility: recognition that traditional gatekeepers cannot protect the literature alone and that volunteer sleuths, automated tools, and post-publication review are not threats but essential complements. Second, infrastructural sovereignty: investment in community-controlled platforms, protocols, and publishing systems that do not depend on the whims of billionaires or the algorithms of advertising companies. Third, funding resilience: diversification across federal, state, private, and international sources, with explicit attention to the vulnerabilities that concentration creates. Fourth, principled openness: sharing data by default but with clear protocols for when restrictions are warranted—“as open as possible, as closed as necessary.”
None of this is easy. All of it is possible.
The Assyrian tax receipt discovered near the Temple Mount reminds us that even sacred history rested on mundane administrative foundations. The Dana-Farber settlement reminds us that modern scientific authority rests on foundations that can crack—and that when they do, new forms of verification rush in.
Authority is never self-sustaining. It must be earned, maintained, and rebuilt. The institutions that survive will be those that face this truth.
The knowledge systems we need are not yet built. But the materials are available and the blueprints are being drawn. The archipelago is navigable. The bridges can hold.
It is time to build.
For Further Reading: Perspectives
PRO “Reformation of science publishing: the Stockholm Declaration”
The Royal Society blog documents global efforts to unite governments, funders, and academies in restoring trust through coordinated action against fraud.
Source: royalsociety.org — Royal Society (November 2025)
CON “Scientific integrity in the age of AI and the challenges of transparency”
SciELO’s perspective warns that the race between fraud and detection is asymmetric—fraudsters need only find single gaps while detection must be comprehensive—and that no technology alone can fix a cultural problem.
Source: blog.scielo.org — SciELO in Perspective (December 2025)
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Production Note
This edition of The Review was produced through collaboration between human editorial judgment and AI assistance. The underlying research report synthesized publicly available information from the period December 2025 through January 2026. All claims have been traced to the sources cited; readers are encouraged to verify primary sources and approach all information—including this newspaper—with appropriate skepticism.
The sleuths would approve.
Coming Next Week
The Quantified Librarian—How algorithms are reshaping what we can find, read, and remember. Also: The persistence of paper in a digital age, and why researchers still can’t quit the filing cabinet.
© 2026 The Review. All rights reserved.
Editor: The Editorial Collective | Submissions: letters@thereview.example
Your skepticism remains appropriate and encouraged.
Daily Newspaper Style Guide
This style guide ensures consistency across all editions of the daily newspaper. It applies to both human editors and large language models (LLMs) during the final polishing stage, after core content (articles, headlines, images, etc.) has been drafted. The goal is to maintain a professional, readable, and uniform appearance, fostering reader trust and brand recognition. Adhere strictly to these rules unless overridden by specific editorial decisions.
1. Overall Structure and Layout
- Edition Header (Masthead): Every edition must start with a centered masthead block including:
- Volume and issue details, day, date, and price in uppercase, small caps or equivalent, on one line (e.g., “VOL. I, NO. 47 • SUNDAY, JANUARY 11, 2026 • PRICE: ONE MOMENT OF ATTENTION”), centered, in 10-12pt font.
- Newspaper name in bold, uppercase, large font (e.g., 48pt), split across two lines if needed (e.g., “THE GLOBAL” on first line, “CONNECTOR” on second), centered.
- Tagline in quotes, italic, below the name (e.g., “Tracing the threads that hold the world together—before they snap”), centered, in 14pt font.
- A horizontal rule (---) below the masthead for separation.
- Example in markdown approximation:
VOL. I, NO. 47 • SUNDAY, JANUARY 11, 2026 • PRICE: ONE MOMENT OF ATTENTION THE GLOBAL CONNECTOR *"Tracing the threads that hold the world together—before they snap"* ---
- Note that this is just an example. The actual title is “The Review” and the prices is dynamically, and hopefully humorously, created based on the content.
- Background and Visual Style: Aim for a newspaper-like background in digital formats (e.g., light beige or subtle paper texture via CSS if possible; in plain markdown, note as a design instruction for rendering).
- Sections: Organize content into a themed newsletter format rather than rigid categories. Start with an introductory article, followed by 4-6 main stories, and end with an editorial. Each story should stand alone but tie into the edition’s theme.
- Introductory article: Begins immediately after masthead, with a main headline in bold, title case.
- Main stories: Each starts with a bold headline, followed by a subheadline in italic.
- Editorial: Labeled as “EDITORIAL” in uppercase, bold, with its own headline.
- Separate sections with ❧ ❧ ❧ or similar decorative dividers.
- Limit total content to 2000-3000 words for a daily edition.
- Page Breaks/Flow: In digital formats, use markdown or HTML breaks for readability. Aim for a “print-like” flow: no more than 800-1000 words per “page” equivalent. Use drop caps for the first letter of major articles.
- Footer: End every edition with:
- A horizontal rule.
- Production Note: A paragraph explaining the collaboration between human and AI, verification process, and encouragement of skepticism (e.g., “Production Note: This edition… Your skepticism remains appropriate and encouraged.”).
- Coming Next: A teaser for the next edition (e.g., “Coming Next Week: [Theme]—examining [details]. Also: [additional hook].”).
- Copyright notice: ”© 2026 [Newspaper Name]. All rights reserved.”
- Contact info: “Editor: [Name/Email] | Submissions: [Email]“.
- No page count; end with a clean close.
2. Typography and Formatting
- Fonts (for digital/print equivalents):
- Headlines: Serif font (e.g., Times New Roman or Georgia), bold, 18-24pt.
- Subheadlines: Serif, italic, 14-16pt.
- Body Text: Serif, regular, 12pt.
- Captions/Quotes: Sans-serif (e.g., Arial or Helvetica), 10pt, italic.
- Use markdown equivalents: # for main headlines, for sections, bold for emphasis, italic for quotes/subtle emphasis.
- Drop Caps: Introduce new articles or major sections with a drop cap for the first letter (e.g., large, bold initial like Welcome). In markdown, approximate with W and continue the paragraph; in rendered formats, use CSS for 3-4 line height drop.
- Headlines:
- Main article headlines: Capitalize major words (title case), no period at end.
- Keep to 1-2 lines (under 70 characters).
- Example: “Everything Is Connected (By Very Fragile Stuff)”
- Body Text:
- Paragraphs: 3-5 sentences each, separated by a blank line.
- Line length: 60-80 characters for readability.
- Bullet points for lists (e.g., key facts): Use - or * with consistent indentation.
- Tables: Use markdown tables for data. Align columns left for text, right for numbers.
- Pull Quotes (Drop Quotes): Insert 1-2 per story, centered, in a boxed or indented block, larger font (14pt), italic, with quotation marks. Place mid-article for emphasis. Example in markdown:
> "The tech giants in California scream about latency and 'packet loss,' viewing the outage as a software bug. The ship captain knows the truth: the internet is just a wire in the ocean." - Emphasis:
- Bold (text) for key terms or names on first mention.
- Italics (text) for book titles, foreign words, or emphasis.
- Avoid ALL CAPS except in headers.
- No underlining except for hyperlinks.
- Punctuation and Spacing:
- Use Oxford comma in lists (e.g., “apples, oranges, and bananas”).
- Single space after periods.
- Em-dashes (—) for interruptions, en-dashes (–) for ranges (e.g., 2025–2026).
- Block quotes: Indent with > or use italics in a separate paragraph for quotes longer than 2 lines.
3. Language and Tone
- Style Standard: Follow Associated Press (AP) style for grammar, spelling, and abbreviations.
- Numbers: Spell out 1-9, use numerals for 10+ (except at sentence start).
- Dates: “Jan. 12, 2026” (abbreviate months when with day).
- Titles: “President Joe Biden” on first reference, “Biden” thereafter.
- Avoid jargon; explain acronyms on first use (e.g., “Artificial Intelligence (AI)”).
- Tone: Neutral, factual, and objective for news stories, with a witty, reflective edge. Editorial may be more opinionated but balanced. Overall voice: Professional, concise, engaging—aim for a reading level of 8th-10th grade. Use direct address like “dear reader” in intros.
- Length Guidelines:
- Introductory article: 250-500 words.
- Main stories: 450-750 words each.
- Editorial: 400-800 words.
- Avoid fluff; prioritize who, what, when, where, why, how, with thematic connections.
- For Further Reading: Perspectives: At the end of each story and editorial, include a “FOR FURTHER READING: PERSPECTIVES” section. Use PRO (green box) and CON (red box) for balanced views. Each entry: Bold label (PRO or CON), title in quotes, source with hyperlink. Approximate boxes in markdown with code blocks or tables; in rendered formats, use colored backgrounds (e.g., light green for PRO, light red for CON). Example:
FOR FURTHER READING: PERSPECTIVES **PRO** "Why Governments Must Control Cable Repair" — Parliament UK Joint Committee Report Source: [publications.parliament.uk](https://publications.parliament.uk) (September 2025) **CON** "Sabotage Fears Outpace Evidence" — TeleGeography Analysis Source: [blog.telegeography.com](https://blog.telegeography.com) (2025)
4. Images and Media
- Placement: Insert images after the first or second paragraph of relevant articles. Use 1-2 per article max. No images in this example, but if used, tie to stories (e.g., maps for cables, illustrations for AI). Preference is given to artful info-graphic style images, but simple colored tables or other graphics will work if nothing is available and you can’t create one.
- Formatting:
- Size: Medium (e.g., 400-600px wide) for main images; thumbnails for galleries.
- Alignment: Center with wrapping text if possible.
- In text-based formats, describe images in brackets: [Image: Description of scene, credit: Source].
- Captions: Below images, in italics, 1-2 sentences. Include credit (e.g., “Photo by Jane Doe / Reuters”).
- Alt Text (for digital): Provide descriptive alt text for accessibility (e.g., “A bustling city street during rush hour”).
- Usage Rules: Only relevant, high-quality images. No stock photos unless necessary; prefer originals or credited sources.
5. Editing and Proofing Checklist
Before finalizing:
- Consistency Check: Ensure all sections follow the structure. Cross-reference dates, names, facts, and thematic ties.
- Grammar/Spelling: Run through a tool like Grammarly or manual review. Use American English (e.g., “color” not “colour”).
- Fact-Checking: Verify claims with sources; add inline citations if needed (e.g., [Source: Reuters]).
- Readability: Read aloud for flow. Break up dense text with subheads, pull quotes, or bullets.
- LLM-Specific Notes: If using an LLM for polishing, prompt with: “Apply the style guide to this draft: [insert content]. Ensure consistency in structure, tone, formatting, including drop caps, pull quotes, and perspectives sections.”
- Variations: Minor deviations allowed for special editions (e.g., holidays), but document changes. This guide should be reviewed annually or as needed. For questions, contact the editor-in-chief. By following these rules, each edition will maintain a polished, predictable look that readers can rely on.
A static html, a pdf, and a markdown file suitable for obsidian are required.
These files should be named in the format of YYYY-MM-DD-todays-newspaper
Be sure the pros and cons are links that take the user to the actual essay in case they want to research more.