论文标题
在在线知识传播平台上构造的烟是如何进行的？
How is Vaping Framed on Online Knowledge Dissemination Platforms?
论文作者
论文摘要
我们分析了1,888篇文章和1,119,453个vaping帖子，以研究如何在多个知识传播平台（Wikipedia，Quora，Medium，Medium，Reddit，stack Exchange，Wikihow）中构造烟雾。我们使用各种NLP技术来理解这些差异。例如，n-gram，情绪识别和问题回答结果表明，中等，Quora和堆栈交换是那些希望从吸烟到烟的人的适当场所。其他平台（Reddit，Wikihow）更适合蒸发业余爱好者，并且可能无法充分劝阻青年人。相反，维基百科可能会夸大烟雾危害，从而阻止吸烟者过渡。我们工作的优势是我们应用的不同技术如何相互验证。根据我们的结果，我们提供了一些建议。利益相关者可以利用我们的发现来设计信息工具来在线增强或减轻烟雾（MIS）感知。
We analyze 1,888 articles and 1,119,453 vaping posts to study how vaping is framed across multiple knowledge dissemination platforms (Wikipedia, Quora, Medium, Reddit, Stack Exchange, wikiHow). We use various NLP techniques to understand these differences. For example, n-grams, emotion recognition, and question answering results indicate that Medium, Quora, and Stack Exchange are appropriate venues for those looking to transition from smoking to vaping. Other platforms (Reddit, wikiHow) are more for vaping hobbyists and may not sufficiently dissuade youth vaping. Conversely, Wikipedia may exaggerate vaping harms, dissuading smokers from transitioning. A strength of our work is how the different techniques we have applied validate each other. Based on our results, we provide several recommendations. Stakeholders may utilize our findings to design informational tools to reinforce or mitigate vaping (mis)perceptions online.
