# wide range (blogs) — RSS Amplifier Recent posts from the 4 feeds in the RSS Amplifier directory that cover wide range. Page: Feed: --- ## [How to judge (and minimise) the risk of using sensitive information with an AI chatbot](https://onlinejournalismblog.com/2026/08/18/how-to-judge-and-minimise-the-risk-of-using-sensitive-information-with-an-ai-chatbot/) _2026-08-18 · Paul Bradshaw · Online Journalism Blog_ What are the risks of information you put into an AI chat becoming public? Evaluating those risks is slightly different to other information security challenges because of the way large language models work, so here’s a guide to assessing and managing information security with AI. Understanding risk with AI is about understanding probabilities One of \[…\] ## [How data journalism is done on TikTok: six key takeaways from watching 50 videos](https://onlinejournalismblog.com/2026/08/10/how-data-journalism-is-done-on-tiktok-six-key-takeaways-from-watching-50-videos/) _2026-08-10 · James Hickman · Online Journalism Blog_ In a guest post for OJB, James Hickman pulls together a set of basic best-practice guidelines for creating data journalism videos on TikTok, from length and location to animation and style. Short-form vertical video is quickly becoming a key format for telling all types of news stories — and data journalism is no exception. As a data journalist, I wanted \[ \] ## [This one story can be used to discuss seven different types of bias](https://onlinejournalismblog.com/2026/07/03/this-one-story-can-be-used-to-discuss-seven-different-types-of-bias/) _2026-07-03 · Paul Bradshaw · Online Journalism Blog_ The latest wife of headline — ITV News s report on the actor Lisa Faulkner revealing that she has undergone surgery after a cancer diagnosis — is an opportunity to get journalism students exploring how different forms of bias might shape news reporting — and not just the obvious ones. An opening question might be why a \[ \] ## [Managing a mass FOI project? Here’s an AI-assisted methodology for that](https://onlinejournalismblog.com/2026/06/30/managing-a-mass-foi-project-heres-a-methodology-for-that/) _2026-06-30 · Paul Bradshaw · Online Journalism Blog_ Sending FOIs to multiple bodies across the country to get the big picture on an issue sounds like a great idea — until the responses start to trickle in. Differences between responses often make mass FOI projects extremely time-consuming as you try to get everything into a format that allows you to ask journalistic questions \[ \] ## [Showing charts on video? Here are two essential techniques to make them effective](https://onlinejournalismblog.com/2026/06/23/showing-charts-on-video-here-are-two-essential-techniques-to-make-them-effective/) _2026-06-23 · Paul Bradshaw · Online Journalism Blog_ Using visualisation on TV and video is very different to using charts and maps online. In video, the audience has very little time to absorb the information contained in the chart — so you need to get them to that information as quickly as possible. Every bad example of charts in videos forgets this. And \[ \] ## [“Many newsrooms are not optimised for what humans do best” (but we have an opportunity to change that)](https://onlinejournalismblog.com/2026/06/18/many-newsrooms-are-not-optimised-for-what-humans-do-best-but-we-have-an-opportunity-to-change-that/) _2026-06-18 · Paul Bradshaw · Online Journalism Blog_ Some essential reading by Agnes Stenbom Swedling explores how news organisations integrate AI into their workflows and the idea of the human in the loop . Many newsrooms, she points out, are not optimised for what humans do best , and so far the introduction of AI hasn t involved a critical consideration of whether we want to \[ \] ## [Caught in a trap: what journalists can learn from systems thinking](https://onlinejournalismblog.com/2026/06/16/caught-in-a-trap-what-journalists-can-learn-from-systems-thinking/) _2026-06-16 · Paul Bradshaw · Online Journalism Blog_ One of the most powerful ways to generate original journalism is to look at the systems behind stories — particularly the points where those systems fail. For investigative work, those points are central. Surface-level scandals often stem from deeper systemic problems. So what tools do we have for recognising those patterns? Donella Meadows s classic book \[ \] ## [How to: generate hundreds of maps by combining QGIS with Python (code included!)](https://onlinejournalismblog.com/2026/06/08/how-to-generate-hundreds-of-maps-by-combining-qgis-with-python-code-included/) _2026-06-08 · Paul Bradshaw · Online Journalism Blog_ At this year s Dataharvest I delivered a workshop on using Python in QGIS to automate the process of exporting maps for multiple locations. Here s how to do it (you can find a GitHub repository with materials and links here). Making a map for a story is cool — but what if you could make a map \[ \] ## [FAQ: AI, misinformation and journalism](https://onlinejournalismblog.com/2026/05/23/faq-ai-misinformation-and-journalism/) _2026-05-23 · Paul Bradshaw · Online Journalism Blog_ In this latest post in the FAQ series, I am sharing some responses to a radio interview about AI s impact on journalism. Q: Is the continuous growth of AI-generated content online a danger for journalism? It is certainly a problem yes, in three ways: it makes reporting harder, it makes it harder to support journalism financially, \[ \] ## [Words as data: how data journalists tell stories about documents and text](https://onlinejournalismblog.com/2026/05/14/how-to-tell-stories-about-documents-and-text-using-data-journalism/) _2026-05-14 · Paul Bradshaw · Online Journalism Blog_ Documents and other collections of text can be goldmines for data journalism — if you know how to approach them as data. Here are some techniques and inspiration for your next data project. From stories about political speech and song lyrics, to street names and social media chatter, data journalists now have a wide range \[ \] ## [Build with the cheapest GPUs (Sponsored)](https://crawlproof.com/a/ZyE2ZpGXOTdo) _2026-05-14 · **Sponsored**_ Deployed a live API in minutes; one user spent under $10. ## [PEER: a technique for brainstorming interviewees and story sources](https://onlinejournalismblog.com/2026/03/09/peer-a-technique-for-brainstorming-interviewees-and-story-sources/) _2026-03-09 · Paul Bradshaw · Online Journalism Blog_ One way to ensure you generate a wide range of potential sources for a story — or for potential story leads — is to use a checklist. The PEER framework is just that: four categories to help journalists generate more names on any given story — and think more creatively about whose voices might add \[ \] ## [Supervising the Idea Factory: My Year of 60 Personal Projects](https://mostlymaths.net/2026/01/2025-projects.html/) _2026-01-02 · mostlymaths.net_ In 2024 I leaned on LLMs to get several personal projects done (around 20). This year I took that to 11 (60 projects). ## [Arguably 3x productive: anecdata on LLMs for personal projects](https://mostlymaths.net/2025/08/arguably-3x.html/) _2025-08-11 · mostlymaths.net_ If you have been following me on BlueSky or have read my recent posts here you will be aware I am a happy LLM user for coding projects. ## [Poets and Journalists](https://mostlymaths.net/2025/07/poets-and-journalists.html/) _2025-07-21 · mostlymaths.net_ I use Gemini for coding, a lot. When I tell some colleagues, they look at me like I’m out of my mind. I believe their reaction reveals a fundamental split in how we see our craft: the difference between the Journalist and the Poet . ## [Residual diagnostics made easy using {nullabor}](https://www.mansthulin.se/posts/nullabor0315/) _2025-03-04 · Måns Thulin · Måns Thulin_ When learning linear regression, many people struggle with model diagnostics - especially interpreting residual plots. We often teach that visual diagnostics are better than test-based diagnostics ( and they are! ), but it can take a long time to develop a feel for what residual plots “should” look like. And that’s the problem. Residual plots are essential for checking assumptions like… ## [Visualising reading habits using {tidyplots}](https://www.mansthulin.se/posts/tidyreads/) _2025-02-04 · Måns Thulin · Måns Thulin_ The tidyplots package is a relatively new addition to the R ecosystem, designed to streamline the creation of publication-ready plots for scientific papers. Built on top of ggplot2 and its extensions, it aims to provide a more consistent syntax and handy convenience functions for generating common plot types - especially those that typically require multiple steps in ggplot2. I’ve been meaning to… ## [Exporting factor analysis path diagrams to Mermaid](https://www.mansthulin.se/posts/mermaidpath/) _2025-01-26 · Måns Thulin · Måns Thulin_ I’ve been playing around with making diagrams using Mermaid lately, and wanted to see if it was possible to easily export path diagrams for factor analysis models to Mermaid code. I thought that this could be useful as Mermaid can be used with Quarto , which I use for writing reports to clients. A path diagram Here’s an example of a exploratory factor analysis model using the attitudes data (taken… ## [Easy frequency tables using {ivo.table}](https://www.mansthulin.se/posts/ivotable06/) _2025-01-20 · Måns Thulin · Måns Thulin_ R has some great packages for creating nice-looking tables. Packages like gt and flextable allow the user to create a wide range of tables, with lots of flexibility in how these are presented and formatted. The downside to these Swiss army knife-style packages is that simple tasks, like creating a frequency table, require a lot of typing. Enter ivo.table , a package for creating great-looking… ## [New version of {boot.pval} on CRAN](https://www.mansthulin.se/posts/bootpval/) _2025-01-15 · Måns Thulin · Måns Thulin_ A new version of the boot.pval package is now available on CRAN . It can be used to compute bootstrap p-values and confidence intervals for regression coefficients with a single line of code. It works for linear models, GLMs, Cox regression, mixed models, and more. News in version 0.6 Now works also when there’s missing data (previously, an error inherited from car::Boot would appear if the data… ## [Fitting TabPFN models in R using reticulate](https://www.mansthulin.se/posts/tabpfn/) _2025-01-09 · Måns Thulin · Måns Thulin_ Introduction TabPFN is a foundational model for tabular data, which can be used instead of models like XGBoost and random forest for predictive modelling using tabular data. It was recently introduced in a paper in Nature by Hollmann et al. The results in that paper indicate that it can yield better results than current state-of-the-art machine learning models in a wide range of settings. TabPFN… ## [Dissecting Series A Rounds (Sponsored)](https://crawlproof.com/a/SOFFduIYbcJQ) _2025-01-09 · **Sponsored**_ Two real Series A cases: timelines, investor sequencing, and common founder mistakes. ## [Test Driven Writing (or Test Driven Documentation)](https://mostlymaths.net/2024/11/test-driven-writing.html/) _2024-11-26 · mostlymaths.net_ During the writing (and rewriting) of my last two posts I had this idea: what if we could leverage LLMs for a closed-loop rewriting cycle? ## [In Practice: Turning an Idea into a Finished Project (A Case Study)](https://mostlymaths.net/2024/11/idea-to-finished-project.html/) _2024-11-11 · mostlymaths.net_ I got some questions about how exactly did I use Gemini when creating a project, after posting my previous post. This is the answer. ## [Turning 'Someday' Ideas into 'Today' Projects with Gemini](https://mostlymaths.net/2024/10/gemini-someday-today-projects.html/) _2024-10-28 · mostlymaths.net_ A year ago I didn’t think much of LLMs for coding. Just glorified autocomplete at best, useful but just that. I have partially changed my mind, although I didn’t realise what was the difference until recently.