Category: Information Trapping

Information Trapping RSS Wikipedia

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.

Information Trapping Reddit Wikipedia

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 […]

Information Trapping Mastodon

Keep An Eye on the Fediverse With the Mastodon Hashtag Monitor

Over 15 years ago I wrote a book called Information Trapping. It was about how to set up online monitors to find online information around certain keywords and keep it coming as a flow to you via tools like RSS, page monitors, etc. As you might imagine, Information Trapping’s resources and tool listings are very […]

Information Trapping Search

“Barbie’s Dream Google Alerts”

I’ve spent today, around my visit to Granny, making “Barbie’s Dream Alerts” with Google Apps Script and a Google Sheet. 😂 (No, I’m not going to call them that. I’m going to call them Calishat Snaps.) There’s some functionality I’ve always missed in Google Alerts that I decided I wanted in my version, so my […]

Information Trapping Wikipedia

Gossip Machine As An Information Trap

Hot diggity! I made my first Web monitoring tool! If you’ve been reading my stuff for a while you’ve heard me talk about Gossip Machine. At its core, Gossip Machine analyzes a Wikipedia article’s page views over a given time period and identifies days with unusually high page views. The idea is that audience attention […]

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