In the past two years, large language models have replaced traditional information search and delivery systems in increasingly jarring ways. As they become more integrated into our everday lives, it will likely become harder to distinguish fact from fiction. Simultaneously, corporations like Meta have moved away from efforts to stop misinformation under the thin guise of “free speech.” While this will be dangerous for everyone, it offers particularly worrying prospects for groups most routinely targeted by intentional disinformation efforts.

A week ago, I posted a dataset that had been compiling over the course of a year based on a series of RSS feeds I’d set up and mostly forgotten about. After merging the data and sifting through them, I find myself left with far more questions somehow than I had come in with. But most of all, what I can’t get out of my mind is the sheer volume of articles.

At first, I thought it was an artifact of the data collection process. Setting the alerts to any news article using the “as-it-happens” frequency setting means that the second Google indexes a news story, it gets pushed to the feed, and that is understandably a lot given the sheer size of the internet.

A year ago, after noticing an alarming shift in both the number and tone of news articles being served search engines like Google and Bing, I cobbled together a system that would log news stories as they were added to Google News in real time. The project garnered a decent amount of attention, and led to a representative from Google reaching out to check my claims that Google was serving extremist content.

Last night, I reran the code and aggregated a full year’s worth of data which is available for free to researchers here.

As much as I like getting in a good dig, it has a much darker side than just vapid articles on “hook-up culture” and whatever some junior Jordan Peterson sees as an immutable psychological difference between men and women. Psychology today is actually host to an extraordinary number of conversion therapists. But before you can understand that, first you need to know a little bit about the conversion therapy ecosystem.

One of the projects I’ve been working on in the background as I try and keep up with the maelstrom is figuring out how to get notifications in real-time about bills being introduced. I’m still working the bugs out, but this calendar is based on an IFTTT applet using the same general principle as the news tracker, part of the GayAgenda suite of tools.

You can read more about the main project — which tracks news coverage of trans-related topics and generates data visualizations — here, or visit the GitHub repo here.

Well, I did it. I finally switched completely to a “dark mode” dashboard. I sort of had to, after downloading this absolutely gorgeous RStudio theme. Regardless, there’s something about seeing things slightly differently that affords you different perspective and I’m starting to get the impression that there is something truly, terrifyingly wrong with the way Google serves and curates news items in the index.

When I search for “google news content guidelines” I get the official Google News content policy where they claim that Google will not provide content for hate sites or sites that peddle disinformation (written here as misinformation). But is that really true?

As usual, the trans news tracker, started as one of those “I wonder if…” projects. Partially inspired by the potential imminent demise of twitter, and having recently started using automation platform IFTTT for tracking the hundreds of anti-LGBTQ bills sweeping the country, I wanted to see how easy it would be to create a dashboard that would visualize the discourse in real-time.