SOP (Standard Operating Procedure) · Fact-Check & Source Log · Before You Hit Submit

Fact-Check SOP – verify stats, names, quotes, links, spellings, and dates; keep a source log for every paid article

You want to write blog posts, essays, magazine pieces, guest posts, or journal-style articles for professional websites like WIRED.com and you want to get paid, not just published. This Fact-Check SOP turns that big scary idea of “fact-checking” into a calm, repeatable checklist that you follow before you send any draft to an editor. You will walk through your piece in fact-check mode, you will verify every important name, number, date, quote, and link against trusted sources, and you will keep a simple source log that proves where each fact came from. This habit protects your reputation, saves editors time, prevents embarrassing corrections, and makes it easier for them to hire you again and again.

Verify stats Check names & titles Quotes & context Links & sources Spellings & style Dates & chronology Source log Paid writing
Your Goal Publish pieces where every fact survives scrutiny from editors, experts, and sharp readers.
Your Reader Picture one editor and one curious reader who assume your facts are correct on the first read.
Your Win Fewer corrections, fewer panicked rewrites, more repeat work, and long-term trust in your byline.
Step-by-step

The 12-minute fact-check pass for any paying outlet

You will not fact-check “whenever you remember”. Instead you will run a short, focused fact-check pass near the end of your writing process. Think of it as switching from writer mode to checker mode. In this pass you are not rewriting your story. You are only asking one question for every claim: “Where did this fact come from, and have I verified it?” Use this pass for any serious outlet: a technology feature for WIRED-style sites, a reported blog post, a service article, or a narrative feature.

People & places
Numbers & dates
Quotes & links

12-Minute Fact-Check — minute by minute

0:00–2:00 Set up fact-check mode and mark every checkable item.
  1. Save a copy of your draft named StorySlug_FactCheck so you can highlight and annotate freely without touching the final file.
  2. Read the piece once, slowly, and highlight all names, numbers, dates, locations, quotes, brand/product names, job titles, and strong claims (“first”, “biggest”, “only”, “proved”, etc.).
  3. Give each highlight a simple Fact ID like F01, F02, and so on. You will reuse these IDs in your source log.
Reminder: In professional journalism the safe rule is “fact-check everything”. Treat even basic background sentences as facts that must be verified.
2:00–4:00 Check people and places first.
  1. For each person in your story, confirm the spelling of their name, their job title, and the organisation name using a primary source: company site, university page, professional profile, or direct email.
  2. For each place, check the correct spelling, city, region, and country. Confirm that the location actually exists and is used in the way you describe (for example, a lab, a startup office, a conference venue).
  3. Update your draft so that names, diacritics, and capitalisation match the most authoritative source you can find.
4:00–6:00 Verify numbers, stats, and money amounts.
  1. For every statistic or number (market size, percentages, study results, budgets, user counts), click through to the original dataset, study, or official document, not just a secondary blog that repeated it.
  2. Confirm the unit (millions vs billions), the timeframe (year, quarter), and whether the number is global, regional, or tied to a specific country.
  3. If you convert between currencies or measurement systems, double-check the maths with a fresh calculation and write the conversion source in your source log.
Money angle: Editors at serious outlets expect your numbers to stand up to outside scrutiny. Clean stats today mean fewer awkward corrections and more high-paying assignments later.
6:00–8:00 Check quotes, paraphrases, and context.
  1. For every direct quote, compare the words in your draft against your recording or notes. Make sure names, technical terms, and emotional tone are represented fairly.
  2. For every paraphrase, ask if you have changed the meaning or added a stronger claim than the source actually made. If needed, soften the language or quote directly instead.
  3. Check that you have not pulled a dramatic sentence out of context in a way that misleads the reader about what the source believes or experienced.
Protect yourself: Misquoting or twisting someone’s words can damage trust and, in some cases, create legal risk. When in doubt, quote more precisely and add clear context.
8:00–10:00 Fix dates, timelines, and time phrases.
  1. Check all calendar dates against at least one solid source, especially for launches, announcements, and historical events. Make sure the year is correct and matches the rest of your story.
  2. Replace fuzzy phrases like “recently” or “last year” with clearer ones when needed, especially if the publisher might update or republish your article later.
  3. Read your story once focusing only on sequence (what happened first, second, third) and make sure the order matches the evidence you have.
10:00–12:00 Test links, attributions, and log your sources.
  1. Click every hyperlink to confirm that it works, goes to the page you expect, and actually supports the fact next to it. Remove low-quality links that add no real proof.
  2. For each Fact ID in your draft, add a line in your source log with the claim, the verification source, the date you checked, and the status (confirmed, updated, disputed, or removed).
  3. Finally, run a brief spelling and grammar check focusing on names, brand names, and specialised terms. Update your source log one last time if you change anything factual.
Pro tip: If you feel tired, stop, take a short break, and come back fresh. Fact-checking is about accuracy, not speed records.
Map

What you fact-check (and what you record in your source log)

In professional editorial fact-checking, the default rule is simple: check every fact that can be checked. To make this easier, you will work with seven fact groups. For each group, you will write one short sentence in your notes and one precise line in your source log. This table acts as your quick map before and after each fact-check pass.

Fact group Examples in your article Minimum check & what to log
People & organisations Names of founders, CEOs, researchers, activists, interviewees; company and institution names. Confirm full spelling, titles, and affiliations from official sites or direct communication. Log: Fact ID, person’s name, source URL or file, date checked.
Places & geography City and country names, neighbourhoods, campuses, lab locations, event venues, regions. Verify spelling, location, and relevance using maps and official pages. Log: Fact ID, place name, reference source, and any nuance (for example, “suburb of…”, “near…”).
Numbers & statistics Market sizes, study results, performance metrics, financial figures, user counts, percentages. Trace every number back to the original dataset or document. Log: Fact ID, exact number as used, original figure, unit, time period, and citation.
Dates & timelines Product launches, funding rounds, policy changes, historical events, “since” and “for X years” claims. Check against at least one strong source (press release, regulator, archive). Log: Fact ID, date as printed, verified date, and how you resolved any conflict.
Quotes & paraphrases Direct quotes, paraphrased statements, second-hand quotes from other articles or reports. Compare to recordings, transcripts, or original articles. Log: Fact ID, quote target, verification source, and whether you edited wording for clarity.
Links & external sources Hyperlinks to studies, reports, company pages, blog posts, videos, or other coverage. Open each link, confirm it supports the fact and is a trustworthy source. Log: Fact ID, destination URL, source type (study, news, blog), and status (kept, replaced, removed).
Superlatives & strong claims “First”, “largest”, “only”, “most advanced”, “proves that”, “guarantees”. Look for competing examples and counter-evidence. Log: Fact ID, phrase used, scope (region, time period), and whether you softened or deleted the claim.
Spellings & specialised terms Technical vocabulary, acronyms, product names, scientific names, legal terms, brand spellings. Check at least one style guide or authoritative reference. Log: Fact ID, preferred spelling, source (style guide, official doc), and any outlet-specific preferences.
Minimum viable fact-check: If you are extremely short on time, always check people, numbers, dates, strong claims, and your links first. Then return later to clean up the remaining groups before you send the story to an editor at a high-profile outlet.
Fill this template

Template_01: Fact-Check & Source Canvas — [Editable] Fill for every story

Note: Replace each [highlighted] area with your own data for one specific article. You can paste this canvas into your notes, a Google Doc, or the note field of your project tool.

Your goal is to see all important facts for one story on a single page. Each box here corresponds to one fact group in the table above. When the canvas is complete and your source log is filled, you can submit the piece knowing you have checked the most risky items that editors and fact-checkers will look at first.

Main people in this story: [Name #1][role / title], [organisation]; [Name #2][role].
Include sources: company “About” page, university bio, LinkedIn, email confirmation.
Verification notes: All names and titles checked against [primary source link or file] on [date].
Pronouns / descriptors: Use [he/she/they] and describe people as [neutral/accurate descriptors] based on how they self-identify.
Key locations: [city], [country], [office / campus / lab name].
Verification sources: [map service], official site for [organisation], event listing or registration page.
One-sentence context: This story mainly happens in [place], which readers should understand as [short description, e.g., “a major AI research hub”].
Notes: Any local jargon (district names, neighbourhood nicknames) checked and explained using [source].
Core stat 1: [short claim, e.g., “global VR market will reach $X billion by 2030”].
Source: [report / dataset name], published [month year], link [URL].
How I checked it: Confirmed the number, currency, region, and time period; checked methodology notes for [sampling / limitations].
Conversions & rounding: Converted [original unit] to [new unit] using [tool] on [date]. Rounded to [rule, e.g., one decimal place].
Key events: [Event #1] on [date]; [Event #2] on [date]; story published around [planned publication date].
Sources: [press release], [regulator filing], [archived news article].
Relative wording: In the article I use the phrases [“in 2023”, “in late 2024”, etc.] instead of vague terms like “recently” that will age quickly.
Order check: Timeline checked once from start to finish so events appear in the correct sequence for readers.
Direct quotes: All direct quotes come from [recording / transcript / email / original article] and are reproduced accurately.
Paraphrases: When I paraphrase, I keep the meaning but simplify the language. I do not add new claims the source did not make.
Strong claims: Words like “[first]”, “[largest]”, “[only]” are supported by [evidence / comparison] or replaced with softer, accurate wording.
Sensitive areas: For any claims about individuals’ behaviour, health, or legal issues, I have at least [two independent sources] or I describe limits clearly.
Source log file: This story’s source log is saved as [StorySlug_FactLog] in [folder / tool].
Link quality: All hyperlinks point to [primary sources / reputable outlets / official docs]. Suspicious or weak sources are used only with clear labelling or not used at all.
Log structure: Each entry contains Fact ID, claim, source, date checked, and status [confirmed / updated / disputed / removed].
Final check: On [date] I re-opened the log and confirmed there are no empty “status” fields before sending the story to an editor.
Pro tip: Keep one copy of this canvas as a blank template in your system (Notion, ClickUp, Google Docs). For each new paid article, duplicate it, rename it with the story slug, and fill it as part of your final editing day.
Evidence trail

Build a simple source log so any editor can see your evidence trail

Your source log is the quiet document that proves you did your homework. It does not have to be fancy. A single table is enough, as long as you use it consistently. For every serious story, especially for outlets with a reputation like WIRED, you should be able to hand this log to an editor or fact-checker and let them recreate your checks quickly.

Fact ID Claim as printed Fact type Verification source Checked on Status Notes
F01 “Meta’s fact-checking partnerships launched in [year].” Date / background [Link to official announcement or reputable coverage] [YYYY-MM-DD] Confirmed Cross-checked with second independent news source.
F02 “The startup has raised $25 million in Series B funding.” Money / number [SEC filing / press release / reputable funding database] [YYYY-MM-DD] Updated Original draft had $20 million; corrected after new round was announced.
F03 “According to researcher [Name], AI-generated personas fooled several publications.” Quote / claim [Interview transcript / email / recorded call] [YYYY-MM-DD] Confirmed Checked wording against transcript; adjusted sentence for clarity, kept meaning identical.
F04 “The report estimates that 26% of UK adults used a fact-checking website at least once.” Statistic [Original report PDF or data table] [YYYY-MM-DD] Confirmed Verified base sample size and date of survey; figure is national, not global.
F05 “The company claims its tool ‘eliminates all misinformation’.” Superlative / marketing claim [Company marketing page / product FAQ] [YYYY-MM-DD] Softened Rephrased in article as “markets its tool as…” and added independent expert skepticism in the next paragraph.
F06 “The investigation was retracted after fact-checkers found serious errors.” Historical / sensitive [Official retraction note / editor’s letter] [YYYY-MM-DD] Confirmed Mentioned retraction date and outlet for transparency, avoided repeating disputed details.
Money angle: A clean source log turns disputes into simple fixes. Instead of spending unpaid hours digging for links and emails months later, you can open one file, answer an editor’s question in minutes, and move on to the next paid assignment.
File naming habit: Use a consistent pattern like Outlet_StorySlug_FactLog_YYYYMMDD. Store it next to your draft and your invoice so everything for one assignment lives in the same folder.
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Part 2 · Canvas · Error Log · Career

Fact-Check SOP · Part 2 — Canvas, error log, and career-building habits

In this second part you will turn your fact-checking work into a simple system you can reuse for every assignment. You will fill a Fact-Check Canvas, you will maintain a small error & correction log, and you will score each article before you submit. This is still a data-collection SOP, so you are not writing emails or pitches here, you are only collecting and organising information that proves your article is reliable. When you send your work to a website like a tech magazine, a niche blog, or a journal, this invisible preparation makes you look like a professional that editors want to hire again and again.

Fact-Check Canvas Error Log Scoring Career Habits Beginner Friendly
Fill this template

Template_02: Six-Box Fact-Check Canvas — [Editable] Fill Your Own Data

Note: Replace the [green] text with your own facts and sources for each new article.

Copy this Fact-Check Canvas under your article outline. Fill it slowly and honestly. It becomes your “control room” where you can see, in one place, which parts of the story are strong, which facts need extra work, and what you will tell an editor if they ask, “Where did this number come from?”

Working headline: [Working title of article]
Outlet & section: [Website / magazine name][Section]
Core claim (1 sentence): This article argues that [main claim].
Risk level (choose one): [Low / Medium / High] — reason: [Why it is this level].
High risk means: health claims, crime allegations, heavy criticism of named people or companies, big financial claims.
Primary sources (max 3): [Source 1], [Source 2], [Source 3].
Secondary sources: [Other articles / explainers].
Interviews: [Names of people you spoke to].
Hierarchy: I rely mainly on [primary / interviews] and I use [secondary] only for context.
Write titles and organisations so you can recognise each source quickly.
Key numbers (3–5): [Number + short label], [Number + label], [Number + label].
Data origin: These numbers come from [name of report / dataset / filing].
Unit & time frame: Values are expressed in [USD / % / users] for the period [years / dates].
Uncertain or forecast? [Yes/No] — if “Yes” mention “estimate” or “forecast” in the article.
Named people: [Person A], [Person B], [Person C].
Spelling checked from: [official site / email signature / LinkedIn].
Key quotes: [Quote ID 1], [Quote ID 2], [Quote ID 3].
Confirmation: I verified each key quote against [recording / transcript / written reply].
Special consent notes: [Anonymous source / off-the-record limits / minors].
Key events with dates: [Event 1 — Date], [Event 2 — Date], [Event 3 — Date].
Publication date target: [Planned publication date].
Relative phrases checked: I converted “last year” / “recently” into [exact years / months] in my notes.
Places mentioned: [City / Country list] — spelling confirmed using [map / gov site].
Fact log file: [File name e.g., Wired_VR_Hype_FactLog_2025-11-16.xlsx].
Log status: [All key facts Checked / Some facts “Needs follow-up”].
Folder location: [Path in Google Drive / Dropbox / Clickup].
Handoff note to editor (internal): If asked, I can send [fact log / list of main sources] with the draft.
Pro tip: When you fill this canvas completely, you will always know which sentences are safe and which ones need more proof before you can press “Send”.
Pre-Filled · Demo Example

Pre-Filled Example · Six-Box Fact-Check Canvas (Demo tech article)

This is a fictional example for a technology feature that could appear on a site like a tech magazine. Replace everything with your own details when you work on real assignments.

Working headline: “Your New ‘Smart’ Headphones Know More About You Than You Think”
Outlet & section: MidTechMag.com — Features
Core claim: This article argues that sensor-heavy headphones quietly collect behavioural data that could be used far beyond basic audio features.
Risk level: Medium — I name several brands and discuss privacy issues but do not accuse anyone of crimes.
Primary sources: 2024 white paper from a university lab, one regulatory filing, one independent teardown report.
Secondary sources: Two explainers from well-known tech sites that describe the hardware basics.
Interviews: Privacy researcher at a European university, engineer at an audio startup, consumer rights advocate.
Hierarchy: Reporting relies mainly on original interviews and the white paper; explainers only support background sections.
Key numbers: global headphone market size in 2024; percentage of devices with motion sensors; number of data points collected per minute (lab estimate).
Data origin: Industry report from a major research firm and the lab white paper’s measurement table.
Unit & time frame: Revenue in USD, market share in %, data points per minute measured in controlled lab conditions in 2023–24.
Uncertain or forecast? Two numbers are forecasts (2030 market projection), so I label them as “estimates” in the text.
Named people: Privacy researcher Dr. Alina Novak, engineer Kevin Ortiz, advocate Priya Menon.
Spelling checked from: University staff page, LinkedIn profile, and email signatures.
Key quotes: Three short quotes about the difference between “feature data” and “behavioural data” plus one warning about secondary uses.
Confirmation: All quotes checked against transcripts; one technical phrase confirmed in follow-up email.
Special consent notes: One engineer requested that their previous employer not be named; story respects this condition.
Key events with dates: Major product launches (2019, 2021, 2023) and a 2024 regulatory hearing.
Publication date target: Before the end of Q1 2026 to connect with a new round of privacy rules.
Relative phrases checked: “Over the last five years” corresponds to 2021–2026 in the context of the article.
Places mentioned: US, EU, India; spellings and jurisdiction names verified using official regulator pages.
Fact log file: MidTechMag_SmartHeadphones_FactLog_2026-01-10.xlsx
Log status: All key facts “Checked”; two minor background statements marked “Secondary-only”.
Folder location: Drive > Clients > MidTechMag > 2026_SmartHeadphones > FactCheck
Handoff note to editor: “If needed I can share the fact-check log and copies of the main reports in one folder.”
Internal habit: When you write your own real article, fill the canvas first, then run your fact-check passes, and update the canvas again so it matches your final draft.
Patterns

Error patterns & correction log — learn once, fix forever

Even careful writers make mistakes. The difference between a casual writer and a professional is simple: a professional pays attention to what goes wrong repeatedly and builds tiny systems that make those errors less likely next time. You will keep an “Error & Correction Log” only for yourself. It is a short table that follows you from article to article and turns every small problem into a permanent improvement.

Error type Example Prevention rule you write Log column idea
Name spelling You once wrote “Stephan” instead of “Stefan” in a quote. “I never publish a name unless I have checked it against a primary profile or email signature.” Names — tick “Profile checked?”
Old statistics You used a 2018 usage stat even though a 2024 report existed. “I always search for a newer edition (year + topic + ‘report’) before accepting any stat.” Stats — column “Last updated year?”
Timeline confusion Events in your story appeared in the wrong order. “I draw a tiny time line with dates in my notes before writing the narrative.” Timeline — “Sketch done? Yes/No”
Weak attribution You wrote “Experts say” without naming anyone. “I do not use vague ‘experts say’ phrases. I either name the source or cut the line.” Attribution — “Named source?”
Broken links One of your key URLs returned a 404 error. “I click every link inside the CMS preview or final doc before I deliver.” Links — “Clicked after paste?”
Pro tip: Keep this log short. You are not trying to punish yourself. You are simply noticing patterns so your next article is easier to trust and easier to sell.
Score

Fact-check heatmap — score each article before you send it

A simple score helps you decide if a draft is really ready for an editor at a serious outlet. You will quickly rate your work from 1 (weak) to 5 (very strong) in six areas: names, numbers, quotes, dates, links, and overall documentation. The goal is not to chase a perfect score but to avoid sending work that is obviously under-checked.

1 = Weak, many unchecked items
2 = Basic checks only
3 = Solid but some gaps
4 = Very good, minor questions
5 = Excellent, fully documented
Names
Numbers
Quotes
Dates
Links
Source log
Area Score you aim for Minimum rule before you submit
Names & identities 4 or 5 Every name, title and organisation has been checked once from an official or primary profile.
Numbers & stats 4 or 5 Each main number is traced back to a clearly named report, dataset, or document.
Quotes & paraphrases 4 or 5 All quotes checked against recordings or notes; paraphrases clearly match what the person meant.
Dates & timelines 3 or higher Events appear in the right order and relative phrases are grounded in real dates in your notes.
Links & anchors 3 or higher Every URL opens and supports the claim it is attached to; anchors describe the linked page accurately.
Source log & folder 3 or higher A basic fact log exists and main PDFs / transcripts are saved in a clear folder for future reference.
Money angle: A strong heatmap score means less back-and-forth with editors. Less back-and-forth means more available time and energy for new paid assignments instead of unpaid corrections.
Handoff

Handoff data — what your editor or fact-checker actually needs from you

Some publications have their own fact-checkers. Some expect the writer to do most of it. In both cases, editors love when a writer shares clear, simple information that makes the checking process smooth. You are not sending this automatically; you are just ready to provide it if they ask.

Item What it contains Why it helps them
Source list Short list of main reports, datasets, and interviews (titles + organisations). Saves time finding key documents and people.
Fact log (optional) ID, claim, source, status; especially useful for complex feature stories. Gives a direct map between the text and the evidence.
Interview notes Transcripts, time-stamped notes, or written Q&A, clearly labelled by person. Allows a checker to confirm quotes and context quickly.
Clarification notes Short explanations where wording is cautious on purpose or evidence is limited. Helps editors understand why you used phrases like “estimate” or “early study”.
Pro tip: After a few assignments you can build a standard one-page “source list” template that you reuse for every outlet. This is still data collection, not an email template; you simply keep it ready inside your project folder.
Career & Money

How strong fact-checking turns into more money and better assignments

When an editor knows you deliver clean, well-checked work, several quiet but powerful things start to happen. Your pitches get a warmer look, your drafts move through edits faster, and you are trusted with more complex, higher-fee stories. This section collects the small mental models that keep you focused on long-term earning instead of only one article.

Reputation loop

Fewer factual corrections → higher trust → more repeat work → more stable income.

Complex story gateway

Editors are more likely to assign deep features and investigations to writers who have already proven they check carefully.

  • Invisible portfolio: Your public portfolio shows headlines and bylines. Your invisible portfolio is the number of corrections you never had to publish because you caught issues in advance.
  • Rate defence: When negotiating higher fees later, you can honestly say you include a full fact-check pass with your process. This is a value-add, not a nice extra.
  • Client mix: High-trust, high-standard clients rarely want to train a new writer from zero. Your fact-checking system quietly signals that you already understand their level.
  • Time leverage: A reusable canvas, log, and checklist remove thinking time from basic tasks, leaving more mental space for the creative and strategic parts of writing that actually move your income.
Income reminder: You are not paid for copying numbers into a draft. You are paid for delivering a story that readers and editors can trust without fear. Fact-checking is how you protect that trust.
Habit

7-day fact-check habit builder — one small action per day

Instead of trying to become “perfect” overnight, you will build a gentle weekly routine. Each day you do one small thing that raises your fact-checking level over time. You can repeat this seven-day cycle whenever your schedule allows.

Day Small action Result after 10 minutes
Day 1 Pick one old article you wrote and underline every checkable fact. You see how many facts live in a normal 1,000-word story.
Day 2 Make a tiny fact log for that article with 10 Fact IDs. You understand how to minimise the log while still covering key claims.
Day 3 Practice verifying five names and titles using official sources. You become faster at finding reliable profiles and checking spellings.
Day 4 Practice tracing three statistics back to original reports. You practise reading tables and charts instead of just copying numbers.
Day 5 Draw a one-line timeline for any story you like (your own or from a big outlet). You get a feel for how professional stories line up events in time.
Day 6 Take one quote from your notes and practise writing a fair paraphrase. You learn the difference between summarising for clarity and twisting for drama.
Day 7 Score your own recent draft using the Fact-Check Heatmap (names, numbers, quotes, dates, links, log). You get a baseline score and can watch it improve the next time you repeat the week.
Pro tip: If you already write every day, attach one of these actions to your normal writing block as a warm-up. You will slowly upgrade your entire career without any dramatic effort.
Examples

Signals examples — from “maybe true” lines to solid, checked lines

Sometimes it is hard to see what a “well-checked” sentence looks like in real life. This table shows pairs of weak and stronger lines, plus the simple evidence note you would keep in your source log for each one.

Weak line in draft Stronger, checked version Source log note
“Millions of people are already using this tool.” “More than 3.2 million people used the tool in 2024, according to the company’s annual report.” F-08 — Company annual report 2024, page 17; figure: “3.2 million active users.”
“Experts say this technology is dangerous.” “Two privacy researchers interviewed for this story said the technology could be misused to track individual behaviour.” F-15 — Interview 1 (Dr X, timestamp 12:34), Interview 2 (Dr Y, timestamp 08:10); both mention tracking concerns.
“Recently, regulators have started paying attention.” “Since mid-2023, regulators in the EU and US have launched at least four formal investigations into the practice.” F-22 — EU press release (July 2023), US agency report (Oct 2023), two state-level announcements (Jan and Mar 2024).
“Many apps collect more data than users realise.” “In a 2024 study of 200 popular apps, 67% collected at least one category of data that was not clearly explained in the settings.” F-30 — University study “Dark Patterns in Permission Requests,” 2024, table 3: 134 of 200 apps.
Small discipline: When you feel tempted to write “many,” “often,” or “most,” pause and ask, “Can I replace this with a clear number or a clearly defined group?” If not, consider cutting the line.
Wrap

Your Fact-Check SOP is now complete

You now have a complete, beginner-friendly Fact-Check SOP that you can run before you send any article, blog post, feature, or guest post to a professional website. You know how to mark every checkable fact, how to verify names, numbers, quotes, links, spellings, and dates, and how to keep a simple source log that proves your work is solid.

In Part 1, you learned how to collect information about the outlet, the section, and the readers so your ideas actually fit what the publication wants. In this Part 2, you learned how to collect information about your own draft so your article is something an editor can trust on the first read. Together, these two SOPs form a quiet system that supports your long-term writing career: you pitch with clarity, you write with structure, and you fact-check with discipline.

When you combine this Fact-Check SOP with your existing writing workflow, you move closer to being the kind of writer that serious outlets, including big tech magazines and niche expert blogs, feel comfortable relying on again and again. That reliability is what turns one good article into a steady stream of paid work over time.

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