Description: Platform bias refers to the distortions that emerge from the design and operation of a digital platform, affecting user experience and fairness in access to information. This phenomenon can manifest in various forms, such as the prioritization of certain content over others, the exclusion of diverse voices, or the creation of informational bubbles that limit exposure to varied perspectives. Often, platform bias results from algorithms that determine what information is shown to users based on previous behavior patterns, preferences, and demographic data. This can lead to certain groups being favored or disadvantaged, perpetuating existing inequalities. The relevance of platform bias is critical in the current context, where digital platforms play a central role in information dissemination and opinion formation. Ethics in the design of these platforms becomes a crucial topic, as developers must be aware of how their decisions can impact diversity and inclusion in the digital space. In summary, platform bias not only affects individual user experience but also has broader implications for society, politics, and culture, making it a topic of increasing interest and debate in the field of artificial intelligence and technology ethics.
