The growing use of AI-generated scientific and science-related content, especially on social media, raises important concerns: these texts may contain false or highly persuasive information that is difficult for users to detect, potentially shaping public opinion and decision-making.

Several jurisdictions and platforms are moving toward clearer disclosure of AI-generated or AI-synthesised content to protect the public. However, a new study published in JCOM warns that these labels may have the opposite effect of what regulators intend, decreasing the credibility of true scientific information while increasing that of false claims.

Trust in others and prior experience with feral hogs were significant factors in whether landowners would commit effort and dollars to controlling feral hogs, two studies have found. Nana Tian is a forest economics researcher for the Arkansas Forest Resources Center who studies human dimensions and economic issues in natural resource management. When it comes to feral hogs, her research informs education and management plans. Tian is the corresponding author of two studies that address these issues: “Private Landowners’ Perspectives on Managing Feral Swine in Arkansas, Louisiana, and East Texas,” published in the Journal of Wildlife Management and “Private Landowners’ Willingness to Pay for Managing Feral Swine in the West Gulf Region,” published in the Journal of Sustainability Research.