Algorithmic bias is a term used to describe the tendency of algorithms to produce results that reflect or reinforce existing prejudices or disparities. This can happen in a number of ways, including but not limited to: selection bias (the algorithm only considering a subset of data that is not representative of the population as a whole), reinforcement learning (the algorithm continuing to give preferential treatment to certain groups or individuals based on previous successes or failures), and human bias (the algorithm incorporating the personal biases of those who design and operate it). While some amount of bias is inevitable in any decision-making system, it is important to be aware of its potential effects and take steps to minimize it where possible.
An environment on social media in which users are surrounded by opinions and perspectives that align with their own, and are not exposed to diverse viewpoints.
A feature on many social media platforms that allows users to broadcast live video content to their followers.
The ability to access, evaluate, and understand information online, including social media content.
A feature on many social media platforms that allows users to post short-lived content that disappears after a set amount of time.
Refers to content that has become very popular and widely shared on social media, often through a snowball effect of likes, shares, and comments.
The controls and options that users can set to determine who can see their social media content and activity.
revealing or sexually explicit images or videos of a person posted on the internet, typically by a former sexual partner, without the consent of the subject and in order to cause them distress or embarrassment.
A measure of how much interaction a piece of content receives on social media, including likes, shares, comments, and other forms of interaction.