Wouldn’t it be great if you could take a Wikipedia article, break it down by headings, do a word-frequency analysis on each block of text, and then click and toggle the most frequent/unusual words into a search box to build Google queries for that topic Well guess what!
Wikipedia Categories + YouTube Channels = TubeTerrain.com
Tube Terrain lets you browse lists of YouTube channels built from Wikipedia categories. Filter by keyword, subscriber count, video count, channel age and more!
Researching Public Figures in the Epstein Birthday Book, Part I: MiniGladys
MiniGladys is a collection of four Wikipedia-based research tools. In the time it takes for a few clicks and a few reads you can get background on Leon Black, for example, find major news stories linked to him, and discover topics related to him that you might not know about. Here’s how.
Topical Monitoring Via Wikipedia Categories
I have mentioned a book I wrote called Information Trapping. It was about using tools like keyword-based RSS feeds and Google Alerts to curate content across the Web. Fast forward 18 years later and, while keyword-based news RSS feeds are still useful, I’m finding Google Alerts increasingly clogged with junk. That’s why I’m trying to idea of monitoring Wikipedia categories to watch topics that aren’t easily defined by keyword-based RSS feeds.
Your Regular Reminder That Tons of People Are On Reddit
Wow, I just got a serious reminder of the Power of Reddit. I’m making a new tool to monitor breakout pages in specified Wikipedia categories as a new kind of topical information trap. One of the test categories I’m using is Androgynous people and that’s how I found out about an 18th/19th century preacher named […]
Blaugust Blogging: MiniGladys Has Replaced 90% Of My Google “Quick Reference” Searches – No AI Required.
I have been writing about and using Google for decades, so I get it — it’s super-easy to use Google for quick one-off searches like finding official web sites, getting a name spelled correctly, getting a quick topic overview, etc. But with Google’s insistence on using water and electricity on AI to summarize the information […]
Attention Junction Now Suggests Related Topics and I Love the Way It Helps Me Search
Attention Junction, a tool I recently created that explores overlapping public interest in topics using Wikipedia page views, has a new feature: it now suggests related topics so you can create topic pairs while not knowing anything beyond the initial topic in which you’re interested. Does this new feature use AI? Nope, it’s using the […]
Analyze Overlapping Public Interest Via Wikipedia With Attention Junction
Attention Junction, what’s your function? To analyze the views of two Wikipedia pages, identify spans of public interest, find overlaps, and turn them into Google / Google News searches. All while being free to use and free of ads. Let me show you how it works.
Evaluating Sustained Public Interest Via Wikipedia Page Views
I made a tool which identifies streaks of public interest (as expressed by Wikipedia page views) in two public figures, finds overlaps, and turns those overlaps into date-bounded Google / G News searches. I’ve been using it to try to understand the longevity of news events. Currently Ghislaine Maxwell and Jeffrey Epstein have an 11-day […]
Introducing MiniGladys for Fast Wikipedia-Based Search and Research
As you might imagine, I do a lot of web search in the course of my day. Often these queries are quick reference lookups; I need to find a company’s social media, for example, or I want to see how to spell someone’s name. Unfortunately these kinds of searches on Google are being met more […]