All filtering algorithms operate on human input, and some are much more reliant on humans than others. Web search engines look at the links between pages, links that were put there by people.

Did Facebook’s Big New Study Kill My Filter Bubble Thesis? Not really. Let’s dive into it and see why not. A few years ago, I gave a talk about how algorithms and social media shape what we ...

Filtering is typically designed around a fast-Fourier-transform (FFT) algorithm, which can be susceptible to noise. Download this article in .PDF format ...

Forty-four percent said "I'd like the ability to create my own algorithm using a filter bubble and my own preferences," and only 10 percent of you were completely in favor of having filter bubbles.

The research found that the user’s click rate on hard news is affected by the positioning of the content on the page by the filtering algorithm. The same link placed at the top of the feed is ...

Instead, a filtering algorithm could continually explore the boundaries of your interests, looking for what you didn’t know you wanted. Luckily, this idea has mathematical form: We can borrow ideas ...

Today’s update, as can be seen above, has been dubbed Penguin 2.1 — so supposedly, it’s a relatively minor change to the previous Penguin filter that was being used.

Search Engine Land also performed a casual side-by-side comparison of Google’s new filtering algorithm against results from Microsoft’s Bing. Notably, Bing provided more relevant search ...