“引起”
用英语怎么说？

Transitioning to the media landscape, Frum welcomes Charlie Warzel to analyze how digital algorithms shape public discourse. Warzel discusses the immense challenge of maintaining journalistic integrity in an attention economy that rewards sensationalism. Digital platforms, driven by optimization algorithms, prioritize content that elicits strong emotional reactions, particularly outrage, fear, and anger. This environment creates a powerful incentive for creators to pursue engagement over truth. Warzel explains that the recommendation systems on platforms like YouTube can lead users down an ideological rabbit hole, gradually introducing more extreme perspectives. Even when readers state a preference for substantive, educational news, their actual clicking habits frequently favor conspiratorial narratives. Consequently, responsible journalists face the daunting task of framing critical information attractively without succumbing to the sensationalist pressures of the digital marketplace.

在转向媒体领域时，弗鲁姆邀请查理·沃泽尔分析数字算法如何塑造公共舆论。沃泽尔探讨了在奖赏博眼球行为的眼球经济中，维持新闻诚信所面临的巨大挑战。在优化算法的驱动下，数字平台优先推荐那些能引起强烈情绪反应的内容，尤其是愤怒、恐惧和生气。这种环境为创作者追求互动量而非真相提供了强大的动力。沃泽尔解释说，像YouTube等平台上的推荐系统可能会将用户引入意识形态的无底洞，逐渐引入更极端的视角。即便读者口头上表示偏好有实质内容的、有教育意义的新闻，他们的实际点击习惯却往往青睐阴谋论叙事。因此，负责任的新闻工作者面临着严峻的任务：既要吸引人地呈现关键信息，又不能屈服于数字市场的猎奇压力。