Lin Teng

With the widespread use of AI-generated content (AIGC) on social media, its potential to spread misinformation poses threats to the public. Although AI disclosure is widely promoted as a transparency measure to prompt critical evaluation, its effectiveness in science communication remains controversial. This study conducted a within-subjects experiment (N = 433) to examine how AI disclosure affects perceived credibility of science communication texts and the moderating roles of readers' negative attitudes towards AI and audience involvement. The experiment manipulated AI disclosure labels and information veracity. The results revealed a truth-falsity crossover effect: AI disclosure significantly reduced the perceived credibility of correct information while unexpectedly increasing the perceived credibility of misinformation. Negative attitudes towards AI significantly moderated these effects, whereas audience involvement exerted only limited influence. These findings highlight the complex and sometimes counterproductive consequences of AI disclosure in science communication and suggest implications for cue-based processing, algorithm aversion, and the design of disclosure mechanisms.

Some of the best sustenance resources come from agriculture, and most nations' economies hinge on it. Technology enacts a vital task in every expertise field. This book part debates the four agribusiness revolutions, each with an associated technology level, focusing on the latest applied science and open issues. Farming can benefit from "information and communication technologies" (ICT) like image processing, cloud/fog support, Blockchain, artificial intelligence (AI), aviation, and the "Internet of Things" (IoT) for a myriad of gains, e.g., meeting farmers' predictions and expectations, accomplishing fungi management, and precluding pest attacks that affect one-third of the planet's annual harvest. What will AI mean for the fourth revolution, Agriculture 4.0 (Agri4)? Agriculturalists are pressured daily to boost their yield by nations demanding it and to furnish proper food worldwide. Farmers already exploit such ICT types in their harvest. A top-grade agribusiness high-tech solution is the agridrone (alias agri-UAV), to safeguard living organisms and soil state, identifying matters from photogrammetry and remote sensing (RS) imageries and making husbandry more impressive and productive without losing farmers' hope in the time crops. This chapter pins down the up-to-the-minute Agri4 applications, emphasizing agridrone technology. Agriculturalists can cut labor with agridrones to protect their crops and diminish fertilizer utilization while easily analyzing the land's imageries. Agridrones can easily follow plants' diseases and stress, delivering possible solutions without damage. Furthermore, they can render digital scenes to visualize crops' health while assessing the ground and creating a 3D field map to inform farmers when planning seed-planting patterns.