Algorithmic literacy now a national necessity

From content on TikTok and Facebook to Google searches and YouTube recommendations, algorithms now determine almost all information users see online. The critical question is how well society understands the selection and display of this content.

When algorithms dictate what users view, they directly influence perceptions of reality. This becomes more concerning when people fail to distinguish between factual information, digital propaganda, and manipulative content generated by artificial intelligence (AI). Algorithmic literacy must be viewed as a new national agenda to strengthen a mature and resilient digital society.

Algorithmic literacy is not just about using technology. It's the ability to understand how digital systems influence users' thoughts, emotions, and actions. It encompasses three key elements: awareness, comprehension, and control. Awareness means users understand that algorithms constantly collect data and profile their digital behavior. Comprehension refers to knowing that displayed content isn't random but driven by interaction patterns and user tendencies.

Control involves the ability to manage privacy, select quality information sources, and avoid complete reliance on automated platform feeds. Therefore, strengthening algorithmic literacy requires a comprehensive approach involving educational institutions, government, the tech industry, and the public. Social media platforms must be more transparent about their algorithms, while governments need to reinforce ethical, safe, and human-centered AI policies and regulations.

Simultaneously, educational institutions must introduce algorithmic literacy education as part of the future digital society curriculum. AI and algorithms are merely tools. However, without proper understanding, these tools can become mechanisms that divide society and erode public trust.