Consumers' choices about health products are heavily influenced by public information, such as news articles, research articles, online customer reviews, online product discussion, and TV shows. Dr. Oz, a celebrity doctor, often makes medical recommendations with limited or marginal scientific evidence. Although reputable news agencies have traditionally acted as gatekeepers of reliable information, they face the intense pressure of “the eyeball game.” Customer reviews, despite their authenticity, may come from deceived consumers. Therefore, it remains unclear whether public information sources can correct the misleading health information. In the context of over-the-counter weight loss products, the authors carefully analyze the cascading of information post endorsement. The analysis of extensive textual content with deep-learning methods reveals that legitimate news outlets respond to Dr. Oz's endorsement by generating more news articles about the ingredient; on average, articles after the endorsement contain a higher sentiment, so news agencies seem to amplify rather than rectify the misleading endorsement. The finding highlights a serious concern: the risk of hype news diffusion. Research articles react too slowly to mitigate the problem, and online customer reviews and product discussions provide only marginal corrections. The findings underscore the importance of oversight to mitigate the risk of cascading hype news.

消费者对健康产品的选择很大程度上受到公共信息的影响，例如新闻文章、研究文章、在线客户评论、在线产品讨论和电视节目。奥兹博士是一位名人医生，他经常在科学证据有限或边缘化的情况下提出医疗建议。尽管信誉良好的新闻机构历来充当可靠信息的看门人，但它们面临着“眼球游戏”的巨大压力。客户评论尽管是真实的，但可能来自受骗的消费者。因此，目前尚不清楚公共信息来源是否可以纠正误导性健康信息。在非处方减肥产品的背景下，作者仔细分析了代言信息的级联。使用深度学习方法对大量文本内容的分析表明，合法的新闻媒体通过生成更多关于该成分的新闻文章来回应 Oz 博士的认可；平均而言，背书后的文章包含更高的情绪，因此新闻机构似乎放大而不是纠正误导性背书。这一发现凸显了一个严重的问题：炒作新闻传播的风险。研究文章反应太慢，无法缓解问题，在线客户评论和产品讨论只能提供边际修正。调查结果强调了监督对于降低炒作新闻的风险的重要性。代言后的文章包含更高的情绪，因此新闻机构似乎放大而不是纠正误导性的代言。这一发现凸显了一个严重的问题：炒作新闻传播的风险。研究文章反应太慢，无法缓解问题，在线客户评论和产品讨论只能提供边际修正。调查结果强调了监督对于降低炒作新闻的风险的重要性。代言后的文章包含更高的情绪，因此新闻机构似乎放大而不是纠正误导性的代言。这一发现凸显了一个严重的问题：炒作新闻传播的风险。研究文章反应太慢，无法缓解问题，在线客户评论和产品讨论只能提供边际修正。调查结果强调了监督对于降低炒作新闻的风险的重要性。