This thesis analyses 205,792 English-language YouTube comments on “news” videos (2010–2024) to examine how perceptual filters shape public discourse. A mixed-method design uses fine-tuned RoBERTa (hybrid inference) to estimate seven indicators – sentiment, irony, trust/distrust, hostility, and the misinformation-related stances concept, belief, accusation – and qualitatively aligns yearly patterns with Climate Change in the American Mind (CCAM). Results show a shift toward negative sentiment, widening gaps between distrust and trust, persistently elevated hostility, and irony functioning as distancing. Belief and accusation rise in later years, while concept remains rare. The study argues for complementing information literacy with an information resilience lens that addresses conditions of engagement based on worldview and perception filters.