37 items tagged “journalism”
2024
As an independent writer and publisher, I am the legal team. I am the fact-checking department. I am the editorial staff. I am the one responsible for triple-checking every single statement I make in the type of original reporting that I know carries a serious risk of baseless but ruinously expensive litigation regularly used to silence journalists, critics, and whistleblowers. I am the one deciding if that risk is worth taking, or if I should just shut up and write about something less risky.
Providing validation, strength, and stability to people who feel gaslit and dismissed and forgotten can help them feel stronger and surer in their decisions. These pieces made me understand that journalism can be a caretaking profession, even if it is never really thought about in those terms. It is often framed in terms of antagonism. Speaking truth to power turns into being hard-nosed and removed from our subject matter, which so easily turns into be an asshole and do whatever you like.
This is a viewpoint that I reject. My pillars are empathy, curiosity, and kindness. And much else flows from that. For people who feel lost and alone, we get to say through our work, you are not. For people who feel like society has abandoned them and their lives do not matter, we get to say, actually, they fucking do. We are one of the only professions that can do that through our work and that can do that at scale.
But in terms of the responsibility of journalism, we do have intense fact-checking because we want it to be right. Those big stories are aggregations of incredible journalism. So it cannot function without journalism. Now, we recheck it to make sure it's accurate or that it hasn't changed, but we're building this to make jokes. It's just we want the foundations to be solid or those jokes fall apart. Those jokes have no structural integrity if the facts underneath them are bullshit.
It is in the public good to have AI produce quality and credible (if ‘hallucinations’ can be overcome) output. It is in the public good that there be the creation of original quality, credible, and artistic content. It is not in the public good if quality, credible content is excluded from AI training and output OR if quality, credible content is not created.
What does the public in six countries think of generative AI in news? (via) Fascinating survey by the Reuters Institute for the Study of Journalism at Oxford that asked ~12,000 people across six countries for their opinions on AI usage in journalism.
It’s also being interpreted as evidence that few members of the general public actually use these tools, because the opening survey questions ask about personal usage.
I don’t think the numbers support that narrative, personally. For survey participants in the USA 7% used ChatGPT daily and 11% used it weekly, which is higher than I would expect for those frequencies. For the UK those were 2% daily and 7% weekly.
The 18-24 group were the heaviest users of these tools. Lots of other interesting figures to explore.
AI for Data Journalism: demonstrating what we can do with this stuff right now
I gave a talk last month at the Story Discovery at Scale data journalism conference hosted at Stanford by Big Local News. My brief was to go deep into the things we can use Large Language Models for right now, illustrated by a flurry of demos to help provide starting points for further conversations at the conference.
[... 6,081 words]On the zombie edition of the Washington Independent I discovered, the piece I had published more than ten years before was attributed to someone else. Someone unlikely to have ever existed, and whose byline graced an article it had absolutely never written.
[...] Washingtonindependent.com, which I’m using to distinguish it from its namesake, offers recently published, article-like content that does not appear to me to have been produced by human beings. But, if you dig through its news archive, you can find work human beings definitely did produce. I know this because I was one of them.
2023
Simon Willison (Part Two): How Datasette Helps With Investigative Reporting. The second part of my Newsroom Robots podcast conversation with Nikita Roy. This episode includes my best audio answer yet to the “what is Datasette?” question, plus notes on how to use LLMs in journalism despite their propensity to make things up.
Deciphering clues in a news article to understand how it was reported
Written journalism is full of conventions that hint at the underlying reporting process, many of which are not entirely obvious. Learning how to read and interpret these can help you get a lot more out of the news.
[... 1,456 words]Weeknotes: the Datasette Cloud API, a podcast appearance and more
Datasette Cloud now has a documented API, plus a podcast appearance, some LLM plugins work and some geospatial excitement.
[... 1,243 words]The New York Times launches “enhanced bylines,” with more information about how journalists did the reporting. I really like these: “Elian Peltier and Yagazie Emezi visited refugee sites on Chad’s Sudan border, where tens of thousands of people have found refuge since a war started in Sudan last month.” I’m a fan of anything that helps people better appreciate the details of how quality reporting is produced.
Other tech-friendly journalists I know have been going through something similar: Suddenly, we’ve got something like a jetpack to strap to our work. Sure, the jetpack is kinda buggy. Yes, sometimes it crashes and burns. And the rules for its use aren’t clear, so you’ve got to be super careful with it. But sometimes it soars, shrinking tasks that would have taken hours down to mere minutes, sometimes minutes to seconds.
Microsoft declined further comment about Bing’s behavior Thursday, but Bing itself agreed to comment — saying “it’s unfair and inaccurate to portray me as an insulting chatbot” and asking that the AP not “cherry-pick the negative examples or sensationalize the issues.”
— Matt O'Brien, Associated Press
2021
Stanford School Enrollment Project (via) This is Project Pelican: I’ve been working with the Big Local News team at Stanford helping bundle up and release the data they’ve been collecting on school enrollment statistics around the USA. This Datasette instance has data from 33 states for every year since 2015—3.3m rows total. Be sure to check out the accompanying documentation!
M1RACLES: M1ssing Register Access Controls Leak EL0 State. You need to read (or at least scan) all the way to the bottom: this security disclosure is a masterpiece. It not only describes a real flaw in the M1 silicon but also deconstructs the whole culture of over-hyped name-branded vulnerability reports. The TLDR is that you don’t really need to worry about this one, and if you’re writing this kind if thing up for a news article you should read all the way to the end first!
2020
I’ve often joked with other internet culture reporters about what I call the “normie tipping point.” In every emerging internet trend, there is a point at which “normies” — people who don’t spend all day online, and whose brains aren’t rotted by internet garbage — start calling, texting and emailing us to ask what’s going on. Why are kids eating Tide Pods? What is the Momo Challenge? Who is Logan Paul, and why did he film himself with a dead body?
The normie tipping point is a joke, but it speaks to one of the thorniest questions in modern journalism, specifically on this beat: When does the benefit of informing people about an emerging piece of misinformation outweigh the possible harms?
You always get the name of the dog, the editor explained. The dog is a character in your story, and names tell readers a lot about your characters. It’s a crucial storytelling detail, and if you’re alert and inquisitive enough to ask for the name of the dog, you’ll surely not miss any other important details.
What do you call the parts of a story? Or: why can’t journalists spell “lead”? (via) Carl M. Johnson’s analysis of what journalists call different elements of a story, useful for data modeling a CMS for a news organization.
2019
Guide To Using Reverse Image Search For Investigations (via) Detailed guide from Bellingcat’s Aric Toler on using reverse image search for investigative reporting. Surprisingly Google Image Search isn’t the state of the art: Russian search engine Yandex offers a much more powerful solution, mainly because it’s the largest public-facing image search engine to integrate scary levels of face recognition.
My JSK Fellowship: Building an open source ecosystem of tools for data journalism
I started a new chapter of my career last week: I began a year long fellowship with the John S. Knight Journalism Fellowships program at Stanford.
[... 876 words]JSK Journalism Fellowships names Class of 2019-2020 (and I’m in it!) (via) In personal news... I’ve been accepted for a ten month journalism fellowship at Stanford (starting September)! My work there will involve “Improving the impact of investigative stories by expanding the open-source ecosystem of tools that allows journalists to share the underlying data”.
2018
If I tweeted a throwaway comment in appreciation for McDonald’s apple pies and some other randos on Twitter happened to also tweet similar thoughts over the last few months, it doesn’t mean by extrapolation that ‘Millennials Can’t Get Enough Of McDonald’s Apple Pies’. The Twitter search box is not a polling agency and Twitter doesn’t include everybody’s thoughts on everything. Just some people’s thoughts on some things.
2017
The Story Behind the Chicago Newspaper That Bought a Bar (via) Absolutely fascinating story—the Chicago Sun-Times bought a bar back in 1976 to investigate corrupt city inspectors, staffing it with journalists and with photographers hidden in a back room.
2010
Journalism Warning Labels. These are absolutely fantastic. “I’ve been putting them on copies of the free papers that I find on the London Underground. You might want to as well.”
If journalism is the first draft of history, live blogging is the first draft of journalism.
Live blogging the general election. The Guardian’s ongoing live blogs covering the UK election have been the best way of following events that I’ve seen (yes, better than Twitter). Live-blog author Andrew Sparrow explains his approach.
2009
Most journalists have grown up with a fortress mindset. They have lived and worked in proud institutions with thick walls. Their daily knightly task has been simple: to battle journalists from other fortresses. But the fortresses are crumbling and courtly jousts with fellow journalists are no longer impressing the crowds.
#DataJourn part 1: a new conversation. Journalism.co.uk report on the first instance of a Guardian story that was driven by an external developer’s work with data originally released on our Datablog.
A few notes on the Guardian Open Platform
This morning we launched the Guardian Open Platform at a well attended event in our new offices in Kings Place. This is one of the main projects I’ve been helping out with since joining the Guardian last year, and it’s fantastic to finally have it out in the open.
[... 839 words]Learning to Think Like A Programmer. Outstanding advice aimed mainly at journalists, but important to anyone who collects information for a living and might want it to be automatically processed at some point in the future.