How do you recognize manipulated screenshots, AI-generated content, or fake stories in discussions?

Reddit discussions regularly feature screenshots of text messages, social media posts, news headlines, and other content that are easy to fabricate, manipulate, or take out of context. Developing a skeptical but fair approach to evaluating this content is a valuable information literacy skill. For screenshots of text conversations, social media posts, or screenshots of other Reddit content, reverse image searching the content is the first check. Uploading the image to Google Images or TinEye will surface the original source if it has circulated online previously and reveal whether it has been edited from a prior version. For alleged news headlines, searching the exact headline text in quotes in a search engine will reveal whether any legitimate news publication reported the story. Many viral "news screenshots" turn out to be fabricated, from satirical publications that were not identified as such, or from legitimate sources but with crucial context removed. AI-generated text has become harder to identify reliably as the technology has improved, but several patterns remain useful indicators in late 2025 and 2026. Suspiciously smooth, unbroken prose without the natural hesitations, idiosyncratic phrasing, or occasional errors that characterize genuine human writing can be a signal. Content that perfectly addresses a hypothetical scenario with every element neatly resolved tends to read as constructed rather than experienced. Emotionally manipulative personal stories with unusually high dramatic stakes and narrative tidiness — everything fits together too well — are a recurring pattern of likely fabrication. For factual claims, the most reliable approach is to cross-reference with primary or authoritative sources before accepting them. A dramatic statistic, a claim about a historical event, or a scientific finding should trace back to an identifiable study, institution, or contemporaneous report. Claims that resist independent verification across multiple credible sources should be held with proportional skepticism. Developing a general posture of calibrated skepticism — not paranoid rejection of all user-generated content, but proportional doubt that scales with the extraordinary nature of the claim — is the most sustainable approach. Content that provokes a strong emotional reaction, particularly outrage or deep sympathy, is worth pausing on before sharing or accepting, because emotional impact is precisely what fabricators are often optimizing for rather than accuracy.