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The most covert type of prejudice is ageism. Ageism has gotten less attention than other forms of prejudice on digital platforms, such as those based on race, gender, and socioeconomic status. To raise awareness of the various ways ageism operates, this essay examines a few tools that are regularly included on digital platforms from an old-age perspective. We'll start by looking at how homophilic innovation teams overlook older folks. Second, we will demonstrate how ageism is frequently made worse by strategies that are frequently applied on digital platforms. Thirdly, we will demonstrate how corporate ideals are at odds with the usability problems that mostly impact older persons and those with poor levels of (digital) proficiency.

There have been numerous initiatives to increase public awareness of how stereotypes and prejudices support discrimination, and there are a number of laws and regulations that forbid it, such as the Equal Credit Opportunity Acts, the Fair Housing Act, and anti-discrimination laws (Housing and Civil Enforcement Section|CRT|Department of Justice, n.d.). However, discrimination is being reinforced by intelligent systems (Eubanks, 2018). Different techniques are used by discriminatory biases in digital systems. This article focuses on three categories of ageist mechanisms that are frequently used in the development and use of digital platforms.

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