People worldwide are currently confronted with a number of technological challenges, which act as a potent source of uncertainty. The uncertainty arising from the volatility and unpredictability of technology (such as AI) and its potential consequences is widely discussed on social media. This study uses BERTopic modelling along with sentiment and emotion analysis on 1.5 million tweets from 2021 to 2023 to identify anticipated tech-driven futures and capture the emotions communicated by 400 key opinion leaders (KOLs). Findings indicate positive sentiment significantly outweighs negative, with a prevailing dominance of positive anticipatory emotions. Specifically, the 'Hope' score is approximately 10.33\% higher than the median 'Anxiety' score. KOLs emphasize 'Optimism' and benefits over 'Pessimism' and challenges. The study emphasizes the important role KOLs play in shaping future visions through anticipatory discourse and emotional tone during times of technological uncertainty.

本研究解决了全球范围内人们对技术带来的不确定性这一问题，采用BERTopic建模以及对150万条推文的情感和情绪分析，识别出预期的技术驱动未来。研究发现，积极情感显著超过消极情感，关键意见领袖们表达了更多的乐观情绪，强调了技术进步的希望，显示出在技术不确定时期他们塑造未来愿景的重要作用。

映射技术未来：社交媒体话语中的主题、情感与情绪分析