The Federal Highway Administration posts data about its bridge inspections in US states and territories. The National Bridge Inventory database rates bridges as being in Good, Fair or Poor condition. By sorting and filtering the data in a spreadsheet, you can determine which states have the most bridges and highest percentage of bridges in each category. You also can create a new category -- Fair-Poor -- to group the sub-par bridges together.

Every two years, The Federal Highway Administration does more-detailed studies than the ARTBA research in 2017-2019. The 2023 National Bridge Inventory-Bridge Inspection Safety database ranks bridges in three categories: Good, Fair and Poor condition. With some sorting and filtering in a spreadsheet, you can determine which states have the most bridges and percentage of bridges in each category.

Video: Watch this video to follow along with exercise 1

You also can create a new category: “Fair-Poor condition” to group the sub-par bridges together.

Sponsor

We’re using Google Sheets for this exercise, but if you prefer Excel, you can follow the same steps, though the tools you’ll use are named a little differently. You’ll develop a preference over time.

1. Download the NBI dataset by scraping it this page below. We covered scraping in Chapter 3: https://www.fhwa.dot.gov/bridge/nbi/no10/condition23.cfm

=IMPORTHTML(”https://www.fhwa.dot.gov/bridge/nbi/no10/condition23.cfm“ ,”table”, 0)

*-If you are having trouble scraping the dataset, just download it or make a copy from here and save into your Google Drive: https://bit.ly/bridgedata2023

2. Once your sheet is scraped, label it and scroll slowly. See what the columns and rows represent, and make sure there are no empty or garbled cells. Data entry with some government entities can be spotty. If data is missing or garbled, contact the public information officer for that government agency to get the issue cleared up.

Pro tip: To move around quickly on a large dataset, hold down on the CMD (Apple) key and use the directional arrows to move up-down and side-to-side. On a PC, hold down the Control key and use the arrows.

Bridge inspections database in Google Sheets

3. Develop the habit of always working with a copy of the original data. By clicking this worksheet tab, you can duplicate it. You might do this repeatedly during your analysis, naming each sheet whenever you make a significant change to the data. That way, you will have an audit trail of your work.
   

4. The first row of any dataset you work with should be labels of what each column of data represents. It should never start with just the data. In this case, there are two rows of labels: Bridge Counts and Bridge Area (in meters) . For this exercise, we’ll focus on the Bridge Counts. Lock your column headings in place so that as you scroll down, you can always see what each column means. In Google Sheets, you do this by going to View > Freeze > 1 row.
   

5. Do a slow scroll through your dataset and make sure the set is complete and there are no empty or garbled cells. Data entry with some government entities can be spotty. Make sure your set passes initial inspection before starting any analysis. If data is missing or garbled, contact the public information officer for that government agency to get the issue cleared up.

For more data journalism tips, tricks and exercises, visit the Data + Journalism blog.

Sponsor: visualping

Please welcome our new sponsor, visualping. This is a tool I’ve been using for a long time, and its AI features added in the past few years have taken it to the next level.

Video

This training video will take you through the basics of using Google’s NotebookLM:

Sponsor: Nota

Be sure to check out the incredible production tools suite with our longtime sponsor at HeyNota.com

More Tools and Research

Chartle
Generates charts from plain English descriptions. Type something like “US newsroom employment over the last 20 years” and it finds the data, picks the right chart type, and renders it in seconds. It can also recreate charts from screenshots, which is useful for pulling editable visuals out of PDFs and reports

Simplifying AI Newsletter
Master AI daily without the overwhelm. Join 20,000-plus professionals getting practical tutorials, trending news, and tools that actually matter.

Powering the News
Free resources for “worker-friendly” newsrooms from the Reynolds Journalism Institute. It includes quizzes, guidebooks and templates. It also features a newsroom database, which is based on the first national survey of non-traditional, worker-friendly media.

Actually Relevant News
A news curation platform that crawls more than 80 sources across five languages daily, using LLM analysis to evaluate each article’s relevance to humanity on transparent criteria. It publishes only the most relevant stories across four issue areas (Human Development, Planet and Climate, Existential Threats, Science/Technology), with every story showing a full relevance analysis. Free to use with no ads, no tracking, and no paywall — plus a free public API, RSS feeds, weekly newsletter and a positivity slider that lets readers filter by emotional tone.

How 9 Facial Recognition Services Handle Images, Disclose Ownership, and More

Textbooks

Data + Journalism, 2nd Edition

Samantha Sunne and I co-authored the 2nd Edition of the textbook, “Data + Journalism: A Story-Driven Approach to Learning Data Reporting” that is available from Routledge and other booksellers. It’s an introductory- to intermediate-level guide to learning data storytelling from A to Z. The second edition features new tools, datasets, exercises and AI tools.

The Journalist’s Toolbox

My book, “The Journalist’s Toolbox A Guide to Digital Reporting and AI” was published by Routledge in 2023 and focuses on concepts and tools still used today. You can order it here.

In Quotes …

“AI is a tool. The choice about how it gets deployed is ours.” —Oren Etzioni, AI researcher

Follow me @itsmikereilley | @journtoolbox | Subscribe on YouTube | Subscribe to this newsletter

Let me begin by saying there is no perfect tool for detecting AI in writing. But I do use some detection tools as part of a larger formula when evaluating news stories, student assignments, press releases and even customer reviews of products.

Many studies have shown how AI detection tools are unreliable and can return false positives and false negatives with AI text detection. There was widespread panic in academia — trust me, I lived it — in 2021 and 2022 when professors randomly used AI checkers built into tools like TurnItIn.com and found several false positives. Students were suspended, denied graduation and accused of cheating.

But what many journalists and academics haven’t taken into account is how much these tools have improved over the past four years. This was a point Pangram CEO Max Spero made during a Hacks/Hackers AI Real Talk webinar earlier this month.

Pangram is among a handful of AI detection tools I use when evaluating writing. Spero says the fee-based tool boasts some impressive testing metrics for measuring AI detection accuracy rates:

1. It has a false positive rate of 1 in 10,000 (99.999 percent accurate)

2. It has a false negative rate of 1 in 100 (99 percent accurate)

The first number is the one I’m most concerned about. It’s why I don’t rely exclusively on detection tools like Pangram, GPTZero, Copyleaks and WinstonAI when evaluating student work that I suspect was written with AI.

Pangram has a monthly pay model or a $180 annual fee.

I use at least two of the tools to measure the differences in results. I check for sources and citations. Nearly all of the stories require a source to be interviewed, so I contact them to fact-check. I look for suspicious quotes, odd phrasing and often compare the writing to the student’s previous work.

Flaws in the Models
One flaw with detection models is evaluating non-native English speakers’ work. They write in simple sentences or use AI-driven translation tools that sometimes set off the detection tools. I take this into consideration when evaluating my international students’ work. In four years, it’s never been an issue to me.

I also look at the student’s original Google Document of the story and check the previous drafts (press the clock icon at the top of the doc). If 1,000 words suddenly pop into a draft a 4 a.m., it raises more suspicion.

I do allow my students to use AI to write headlines, edit stories and even assist with paraphrasing. That often sets off the detection tool, but typically returns a small percentage of AI detection, which I’m fine with.

Sponsor: visualping

Please welcome our new sponsor, visualping. This is a tool I’ve been using for a long time, and its AI features added in the past few years have taken it to the next level.

So there’s no single, surefire way to detect AI writing, but the aforementioned process gives me a clear picture. I’ve caught a few students over the past couple of years who have violated my AI writing policy in my syllabus. I go over it with them in week 1 and even demo the tools and discuss the process I use for catching them.

How are Models Trained?
Spero, who has a master’s degree from Stanford and previously worked as a Google software engineer, explained in detail on how the detection models are trained on millions of pieces of writing, ranging from news articles to academic journals.

It uses a process called synthetic mirroring, and studies traits of a human-written example vs an AI model. The bottom line question it asks: How confusing is the text to the AI model?

For example, the sentence: “The boy ate a bowl of soup” wouldn’t be confusing to the tool’s predictive model. However, the sentence, “The boy ate a bowl of spiders” would off alarms. This approach establishes a 95 percent accuracy model. The remaining 4 percent accuracy comes from intense training and texting.

A simple YouTube search on “Pangram” includes videos on how to use the tool, but others show how bypass Pangram detection with AI-written text.

Spero said most detection tools can catch copy that’s been “humanized” by online tools. But as Large Language Models get more widespread research to pull from, it makes it more challenging for detection models.

While today’s models are capable of detecting AI, will they keep up with superhuman models of the future? Only time will tell.

Footnote: Spero mentioned on the webinar that Superhuman just bought GPTZero in June. Superhuman tools work to humanize content, so it appears that the company wants to play both sides of the detection coin by adding GPTZero, which was built by Edward Tian when he was a senior in college several years ago.

Read more about OSINT tools and fact-checking on the Journalist’s Toolbox.

Video

Sponsor: Nota

Be sure to check out the incredible production tools suite with our longtime sponsor at HeyNota.com

More Tools and Research

Revise
A new, browser-based word processor with a built-in AI agent. Revise is designed for complex, full-document edits. It supports every major model (GPT, Claude, Gemini, Grok) in one place, with visual revision history so every AI change is trackable and reversible. Free model with upgrades starting at $8 a month.

We Detect: AI or Not?
A free, no-login image checker that returns a probability rather than a yes/no, and deletes the image right after analysis. It catches roughly 85% of Midjourney, DALL·E, SDXL, and Flux images, and it publishes its weak spots instead of hiding them.

AI for Newsrooms
Everything about AI for journalism in one place — curated for editors, reporters, and local newsrooms. Track real initiatives, policies, research, tools, and a daily newsfeed.

Indicator: Seven Web Scrapers Put to the Test

Higgsfield Explainer
Turn a topic into an explainer video

AI Top Hub
A directory of more than 5,000 AI tools organized by category with ratings and reviews

Textbooks

Data + Journalism, 2nd Edition

Samantha Sunne and I co-authored the 2nd Edition of the textbook, “Data + Journalism: A Story-Driven Approach to Learning Data Reporting” that will be available in August through Routledge and other booksellers. It’s an introductory- to intermediate-level guide to learning data storytelling from A to Z. The second edition features new tools, datasets, exercises and AI tools.

The Journalist’s Toolbox

My book, “The Journalist’s Toolbox: A Guide to Digital Reporting and AI” was published by Routledge in 2023 and focuses on concepts and tools still used today. You can order it here.

In Quotes …

"AI can make us faster, smarter and more informed, but it can't make us more caring, empathetic or trustworthy. That's still our job." — Shep Hyken, customer service and experience expert

Follow me @itsmikereilley | @journtoolbox | Subscribe on YouTube | Subscribe to this newsletter

“Vibe coding is the practice of describing what you want to build in plain language — and letting AI create it for you. No syntax. No debugging. You describe the vibe of what you want, and the AI handles the code.” – Jeremy Caplan, CUNY

The phrase “vibe coding” was coined by AI researcher Andrej Karpathy in 2025, who described it as a state where you “give in to the vibes, embrace exponentials, and forget that the code even exists,” according to Merriam-Webster Dictionary

How It Works

Instead of typing code line-by-line, a vibe coder interacts with AI-powered development environments like ChatGPT, Claude Artifacts, Gemini Canvas (watch rate limits), Lovable, Bolt (good for getting started), Cursor (good for applications), Replit (good for games) and many others to build an application or tool. It can be as simple as a countdown timer or as complex as a data visualization tool.

These small apps, when built specifically for newsrooms, can save hours of time for reporters, editors and others.

Pros and Cons

One of the big advantages of vibe coding is that it democratizes software development, allowing non-programmers me to build functional apps. It drastically speeds up prototyping and removes tedious syntax work. One of the biggest drawbacks: it can lead to “slop” or unstable apps. Because the developer often doesn’t understand the underlying code, it can be difficult to fix complex glitches, etc.

In the coming weeks, I’ll be launching some new tools with Journalist’s Toolbox that I vibe code, including one that will replace the soon-to-be-discontinued (thanks Open AI!) Custom GPT for finding specific tools for tasks. I’ll be sharing these tools in future newsletters.

In the meantime, here are some cool vibe-coded tools from Caplan and others:

Vibe Coder Pro
Caplan built this tool that helps you transform rough thoughts into master-class platform prompts. Scribble down your rough thought, and it crafts it into instructions an AI builder will adore.

Wonder Tools Data Visualizer
Upload your dataset and ask it to design a chart. Built by Caplan.

Note-Taking Tool Finder
Take a quiz to find the right type of tool for you.

Zen Focus
A customizable Pomodoro timer that works on desktop and mobile browsers. This app aims to help you focus on any task you are working on.

QuotePop
This app will turn any text or quote into an image file.

Montana EV Charging Network
Built by AlignSimple’s Kyle Rickhoff

Globe Visualization: US Troops
Displays U.S. deployed troops around the world, pulls from a CSV. Made by Syracuse professor Dan Pacheco.

Find more coding and vibe coding tools on the Journalist’s Toolbox

Poll

Sponsor

Be sure to check out the incredible production tools suite with our new sponsor at HeyNota.com

More Tools and Research

Journalism Expert Safety Support
An AI-powered tool designed to give journalists, editors and news organizations working across the United States greater access to essential safety information and guidance.

So You Still Think You Can Google?
Henk van Ess on Google shift to search agents in spring 2026.

Downr
Fast, free online media downloader that lets you paste a link and instantly save videos, audio, or images from YouTube, TikTok, Instagram, Facebook, Twitter and many other platforms without requiring sign-ups or annoying ads.

FlowSpeech
A context-aware AI text-to-speech tool for creators, educators, marketers, and product teams. It supports emotion control, pause control, and more than 30 voices to generate more natural voiceovers, narration, and spoken-content assets.

Textbooks

Data + Journalism, 2nd Edition

Samantha Sunne and I co-authored the 2nd Edition of the textbook, “Data + Journalism: A Story-Driven Approach to Learning Data Reporting” that will be available in August through Routledge and other booksellers (pre-order here). It’s an introductory- to intermediate-level guide to learning data storytelling from A to Z. The second edition features new tools, datasets, exercises and AI tools.

The Journalist’s Toolbox

My book, “The Journalist’s Toolbox A Guide to Digital Reporting and AI” was published by Routledge in 2023 and focuses on concepts and tools still used today. You can order it here.

In Quotes …

“AI is not just about replicating human intelligence; it’s about creating intelligent systems that can surpass human limitations” — Yann LeCun, French-American computer scientist

Follow me @itsmikereilley | @journtoolbox | Subscribe on YouTube | Subscribe to this newsletter

Copyright and Trademark 2026 | Mike Reilley

The epiphany came during a data exercise with Guillén Torres, a specialist in action research, methodological experimentation, and data-driven technologies for justice and accountability UC Berkeley Human Rights Center. He gave us a dataset of larger U.S. landfills to analyze. Then he asked us to see if we could get it to design a static or interactive map in a Large Language Model.

Whenever I work with LLMs, I try my prompts in a few models, specifically ChatGPT, Claude and Google Gemini. I want to pit them against one another to see which is best at a specific task.

For my landfill data, ChatGPT took a few tries to get a static chart. But Claude built a static and interactive chart on the second try. I also asked it to build a data dictionary and it built a beautiful table with column definitions and clarified a few categories accurately.

Claude gave me a color-coded legend as well as a headline that featured the number of sites plotted. I spot-checked the spreadsheet data against the interactive map and it checked out.

If you want to try the exercise yourself, you can download the landfills.csv file from this folder along with the Claude and ChatGPT examples.

Here are the prompts I used:

First prompt: Attached is a dataset with and the following columns: landfill name, state, city, county, ownership type and waste in place. Run Python code that creates a static and interactive map showing landfills according to their amount of waste.

Alternatively: Use Python to open the file and read the first 10 columns. What are some interesting questions I can ask to this dataset if my interest is “X”.

Note: I purposely left the X blank to see what it would generate a useful answer for a variable. I expected a hallucination, but it gave me questions and analysis for environmental justice, renewable energy/climate, corporate accountability and local/regional reporting.

Follow-up prompt: Now can you create a data dictionary for this dataset? (It understands what a data dictionary is.) It produced a four-page document explaining the various column headers, nearly organized in a table.

You can find more AI map creation tools on the Journalist’s Toolbox data tools page.

Sponsor

Be sure to check out the incredible production tools suite with our new sponsor at HeyNota.com

More Tools and Research

Reuters Digital News Report (2026)
New data on where news website traffic is coming from, viewer habits and more.

Attesta
An iOS recorder that announces out loud that it is recording, never trains on your audio, and leaves the file yours. The output is built to be usable, not just archived: top-tier models, speaker labels, and the action items, decisions, open questions and key people pulled out accurately. You can extend a recording with Continue, and refine or restyle the summary to match how you write.

Read PDF Aloud
Let AI read your PDF aloud with a natural voice. Listen to any PDF document with natural-sounding voices in 140-plus languages.

Fact-Check Database
This tool from Henk van Ess lets you search through “debunked images from Reuters, Snopes, PolitiFact, AFP, BOOM Live, Lead Stories, Full Fact and more than 100 fact-checkers worldwide.” Via Craig Silverman from Indicator.media.

AI Tools Box
Searchable listing of various AI tools.

CrowdCounter
AI tool that estimates how many people appear in an image. Test it with some familiar images before using it on anything publishable.

Textbooks

Data + Journalism, 2nd Edition

Samantha Sunne and I co-authored the 2nd Edition of the textbook, “Data + Journalism: A Story-Driven Approach to Learning Data Reporting” that will be available in August through Routledge and other booksellers (pre-order here). It’s an introductory- to intermediate-level guide to learning data storytelling from A to Z. The second edition features new tools, datasets, exercises and AI tools.

The Journalist’s Toolbox

My book, “The Journalist’s Toolbox A Guide to Digital Reporting and AI” was published by Routledge in 2023 and focuses on concepts and tools still used today. You can order it here.

In Quotes …

“Good journalists are the ones who actually read things ... Writers who outsource their learning to AI operate on a flawed model of how the mind works.” – Ezra Klein

Follow me @itsmikereilley | @journtoolbox | Subscribe on YouTube | Subscribe to this newsletter

Copyright and Trademark 2026 | Mike Reilley

The two-day session was taught by trainers from the UC Berkeley Human Rights Center: Guillén Torres, a specialist in action research, methodological experimentation, and data-driven technologies for justice and accountability; Gisella Pérez de Acha, an investigative reporter focused on extremism, disinformation, and environmental issues; and Tomás Dodds, Director of the Public Tech Media Lab at Wisconsin.

It was a fun and challenging session, and they shared some tools that were new to me, as well as longtime favorites like Google Earth Pro.

Here are some of those tools, which I’ve also added to the Journalist’s Toolbox Fact Checking and Verification page:

MetaOSINT
Select a task you need to perform and it will provide a visual list of tools to perform that task. It’s great reat for tracking down tools.

OSINT Navigator
The tool database from Craig Silverman is compiled from 17 independent OSINT toolkits maintained by established practitioners and organizations. A weekly crawler checks all sources, adds new tools, and flags deprecated ones. Each tool is enriched with structured documentation.

WeVerify Fake News Debunker
Download this image verification tool for your browser, then right click on the image and it will run the image through multiple reverse image tools.

Geonames
A geo database of places. Try alternative name spellings with it.

SnapInsta
Download photos, videos, reels, stories and profile information from Instagram

Query Forge
Helps you build better Google search queries

Geolocation
Pérez de Acha walked us through geolocation exercises. We spent a lot of time using Google Earth, Maps and Google Earth Pro to geolocate where an image was taken.

Example: Search this Lat-Long. (31.53271, 34.49815) of a bombed area Gaza in Google Earth Pro, then use the timeline tool (clock with a green arrow button at the top) to go back in time and see the area before it was bombed. You can download both images rights-free and put them in a Juxtapose slider to show before/after.

Some locations may be blurred in the Google tools, so here are some good alternatives:

Copernicus Browser
Search for satellite images (most low resolution). Example: Put a Lat-Long of 34.0469, -118.5266 into the search box on the right, and in date box under the visualize tab on the left, place this date: Jan. 7, 2025. You can see the smoke from Palisades Fire in California (image below). Be patient, the image download is slow. You also can add cool filter plug-ins such as “wildfire” to help see things better, or use the standard layers on the left tool panel.

Yandex Maps

Bing Maps

Satellites.pro

Planet Labs (request in Lat-Long. only)

Wikimapia

SynthID for Gemini Images

Google Gemini and Open AI now use embedded documentation in images built by those tools that help people know if it was built by those AI tools. It’s not a watermark, so you can’t see it. But you can load an image to Google Gemini and ask if it was built with the tool or ask if it has SynthID. Bingo, you have confirmation.

However, it only confirms that if it was built in that particular tool. The image could always have been built in another tool and Gemini won’t know if it was an AI image or not.

Search Operators

Torres talked about how AI is changing Google search, and soon search agents will replace search operators in narrowing searches. But in the meantime, try out the search operators in the example below to focus a search:

Search “Renewable energy policy” and you’ll get way too much information.

Then try: renewable energy policy Site:.gov

Then: renewable energy policy Site:.gov filetype:pdf

Then: “renewable energy policy” Site:.gov filetype:pdf after:2022 before:2024 -draft -presentation

The last search will give a narrower, focused result.

Here’s a slick promo video from Google on how the new search agents will work. You can read more about it here.

Brave Browser and Google Set-Up

In my last newsletter, I wrote about the Brave Browser’s privacy settings. The browser’s search feature, I learned at the seminar, was meh.

But there’s a hack: You can connect it to your Google search and still benefit from Brave’s privacy. Simply go to the Settings menu in the upper left, click on Search Engine on the left panel and select Google for the normal and private browser.

Future newsletters will feature some AI and data visualization exercises from this training session.

Sponsor

Be sure to check out the incredible production tools suite with our new sponsor at HeyNota.com

More OSINT and Fact-Checking Tools

OSINT Navigator
The tool database is compiled from 17 independent OSINT toolkits maintained by established practitioners and organizations. A weekly crawler checks all sources, adds new tools, and flags deprecated ones. Each tool is enriched with structured documentation.

Indicator: 19 Free Tools You Can Use to Investigate a URL

YouStitch.it
Upload a video and capture frames to create a panorama image

Fact Sentinel
Check claims from the page you are already reading. It shows verdicts, confidence, model agreement or disagreement, reasoning, and sources so you can inspect the evidence before sharing. Has a free tier or $5 monthly or a $29 one-time fee.

Fact-Check Database
This tool from Henk van Ess lets you search through “debunked images from Reuters, Snopes, PolitiFact, AFP, BOOM Live, Lead Stories, Full Fact and more than 100 fact-checkers worldwide.” Via Craig Silverman from Indicator.media.

Textbooks

Data + Journalism, 2nd Edition

Samantha Sunne and I co-authored the 2nd Edition of the textbook, “Data + Journalism: A Story-Driven Approach to Learning Data Reporting” that will be available in August through Routledge and other booksellers (pre-order here). It’s an introductory- to intermediate-level guide to learning data storytelling from A to Z. The second edition features new tools, datasets, exercises and AI tools.

The Journalist’s Toolbox

My book, “The Journalist’s Toolbox A Guide to Digital Reporting and AI” was published by Routledge in 2023 and focuses on concepts and tools still used today. You can order it here.

In Quotes …

“Advances in AI are making it possible to develop insidious and highly dangerous attacks at low cost. Whether it's fake journalists, phony media outlets, or deepfakes, assaults on the credibility of the media are becoming increasingly apparent.” — Vincent Berthier, Reporters Without Borders, via the Washington Post

Follow me @itsmikereilley | @journtoolbox | Subscribe on YouTube | Subscribe to this newsletter

Copyright and Trademark 2026 | Mike Reilley

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