This is a brief post describing a key problem in using fact-checking sites as inputs to filter undesirable content (e.g., fake news) from social media newsfeeds (e.g., Facebook). The premise sounds good, right? We use human raters to verify truthfulness of an article, and use that information as part of the decision-making algorithm. However, there […]
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How to measure media bias?
Introduction Media bias is under heavy discussion at the moment, especially relating to the past presidential election in the US. However, the quality of discussion is not the way it should be; I mean, there should be objective analysis on the role of the media. Instead, most comments are politically motivated accusations or denials. This […]
Introduction. Here’s an argument: Most online disputes can be traced back to differences of premises. I’m observing this time and time again: two people disagree, but fail to see why that is, although for an outside it seems evident. Each party believes they are right, and so they keep on debating; it’s like a never-ending […]
1. Introduction Earlier, I had a brief exchange of tweets with @jonathanstray about algorithms. It started from his tweet: Perhaps the biggest technical problem in making fair algorithms is this: if they are designed to learn what humans do, they will. To which I replied: Yes, and that’s why learning is not the way to […]
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Belief systems and human action
Human-machine interaction on social platforms relies on human input. That input is driven by human bias. One form of bias is based on what I call ”belief systems”. Understanding different belief systems, e.g. by more advanced linguistic analysis, can yield solutions to various social problems on the Internet, such as online disputes and forming of […]
So, I read this article: Facebook is prioritizing my family and friends – but am I? The point of the article — that you should focus on your friends & family in real life instead of Facebook — is poignant and topical. So much of our lives is spent on social media, without the ”social” part, and […]
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Big data is not enough data
Thoughts on algorithms.
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A.I. – the next industrial revolution?
Thoughts on algorithms.
Algoritmien valta - Neutraalius ja puolueellisuus koneellisessa päätöksenteossa 