Novelty Content Filters — Magazine or media image with large 'FAT' text overlays demonstrating content filter blocking across page elements.

Novelty Content Filters

2010Browser extension / software toolsemi-active

Published March 24, 2026

Also known as: Content blockers · celebrity blockers · keyword filters

Novelty Content Filters are browser extensions designed to block or hide specific keywords, images, or mentions of particular public figures from web pages. The trend kicked off in May 2010 with Greg Leuch's "Shaved Bieber" extension and spawned a string of imitators targeting everyone from BP to the Kardashians to Donald Trump. They sit at the intersection of internet humor, protest art, and genuine media fatigue, letting users literally erase whatever they're sick of seeing online.

tech humor memes early 2010s memes protest memes political satire memes

Overview

Novelty Content Filters are a category of browser extensions and bookmarklets that strip out mentions of specific people, brands, or topics from every web page a user visits. Unlike standard ad blockers, these tools target cultural noise rather than advertising. They typically work by scanning page text for keywords and either blacking out, replacing, or completely removing matching content, including associated images3.

The concept is part practical tool, part performance art. Users install them as a tongue-in-cheek statement about media saturation, though many genuinely appreciate the quieter browsing experience. The tools range from single-target blockers (removing one specific celebrity) to customizable platforms where users pick their own blacklisted terms2.

Origin & Background

Platform
Free Art & Technology Lab (F.A.T.) website, Chrome Web Store / Firefox Add-ons (distribution)
Key People
Greg Leuch, James Shamsi, Rob Spectre
Date
2010

On May 17, 2010, Greg Leuch of the Free Art & Technology (F.A.T.) Lab released "Shaved Bieber," a browser extension that blacked out all mentions of Justin Bieber along with any associated images of the pop star2. The tool was available as a bookmarklet, a Firefox Add-on, and standalone JavaScript files, with its source code published on GitHub under an MIT License2. F.A.T. Lab framed the project with characteristic irreverence, describing it as a way to deal with "UNWANTED BIEBER MENTIONS" and to help "cover the lower regions of web pages from unwanted Justin Bieber content"2.

The timing was no accident. By mid-2010, Bieber-related content had become inescapable online, and Shaved Bieber channeled widespread internet fatigue into a functional joke.

How It Spread

The concept proved easy to replicate. Just two weeks after Shaved Bieber launched, on June 1, 2010, Leuch teamed up with the interactive agency Jess3 to create the Oil Spill Plugin, which scrubbed mentions of BP from websites during the height of the Deepwater Horizon oil spill coverage3.

In December 2012, Leuch released a more ambitious follow-up called "Pop-Block," which let users block any custom keywords from appearing in their browser window3. This marked a shift from novelty single-target tools to a general-purpose content filter that anyone could configure to their own preferences.

The trend picked up again in April 2015 when entrepreneur James Shamsi launched "Kardblock," a browser extension specifically built to remove mentions of Kim Kardashian from web browsing3.

The biggest splash came on December 24, 2015, when programmer Rob Spectre released the Trump Filter, a Chrome extension that removed all mentions of Donald Trump from websites1. The timing, right in the middle of a heated presidential primary season, drove massive adoption. According to Spectre, the extension pulled in over 21,000 downloads and filtered more than 62,000 Trump mentions in its first week alone1. The Trump Filter's tagline promised users could "Eliminate Donald Trump from all your web browsing without leaving the Internet"1.

How to Use This Meme

The general pattern for novelty content filters follows a simple model:

1

A developer picks a target, usually a public figure or brand dominating the news cycle

2

The extension scans each web page's text content for matching keywords

3

Matched text gets blacked out, replaced with alternate text, or hidden entirely

4

Some extensions also target images, using alt-text or surrounding context to identify and remove photos of the target

Cultural Impact

Novelty Content Filters sit at a weird crosspoint between net art, political protest, and genuine utility. Greg Leuch's work came out of the F.A.T. Lab, a collective known for blending art and technology, and the earliest filters were as much commentary on celebrity culture as they were functional tools2.

The Trump Filter's rapid adoption in late 2015 showed how these tools could tap into real political frustration. With 21,000 downloads in a single week, it demonstrated that media fatigue around political figures could drive significant adoption of what started as a joke format1.

The broader concept also connects to growing awareness of how algorithm-driven media creates information overload. While rage-baiting and engagement farming push inflammatory content into feeds4, novelty content filters offer users an absurdist form of resistance: if you can't change the algorithm, you can at least pretend the thing annoying you doesn't exist.

Fun Facts

Greg Leuch's original Shaved Bieber announcement referenced Kanye West's famous caps-lock blog posts, claiming F.A.T. Lab had helped "lowercase your blog posts" before pivoting to the Bieber problem2.

The Shaved Bieber code was fully open source under MIT License on GitHub, making it a template that later filter developers could build on2.

The Trump Filter claimed to make Donald Trump "simply disappear from your view of every web page," promising total erasure rather than just text blocking1.

Despite being designed as jokes, these filters anticipated real platform features. Twitter and other social media platforms later added native keyword muting tools that work on similar principles.

The concept of rage-baiting, where content is designed to provoke outrage for engagement, makes novelty content filters more relevant than ever as a form of digital self-defense4.

Derivatives & Variations

Shaved Bieber

(May 2010) — The original novelty filter, blocking Justin Bieber mentions and images from web pages. Released with an MIT License and available as a bookmarklet, Firefox extension, and raw JavaScript[2].

Oil Spill Plugin

(June 2010) — Removed mentions of BP during the Deepwater Horizon disaster. Created by Greg Leuch in collaboration with agency Jess3[3].

Pop-Block

(December 2012) — Leuch's evolution of the concept into a customizable tool where users could block any keyword they chose[3].

Kardblock

(April 2015) — James Shamsi's extension targeting Kim Kardashian content specifically[3].

Trump Filter

(December 2015) — Rob Spectre's Chrome extension removing Donald Trump mentions, which became the most downloaded novelty filter with 21,000+ installs in its first week[1].

Frequently Asked Questions