Digg网站上的情绪和意见的统计分析
Statistical analysis of emotions and opinions at Digg website
摘要：
我们对来自www.example.com网站的数据进行了统计分析，该网站使其用户能够通过参加类似论坛的讨论来表达他们对新闻报道的看法，并通过分配所谓的“diggs”来直接评估以前的帖子和故事。由于事实上，每个帖子的内容都被注释了其情感价值，除了严格的结构属性外，该研究还包括对评论主要故事的帖子的平均情感反应的分析。在分析故事层面的相关性时，我们发现了一个有趣的关系，即一个故事收到的评论数和挖掘数之间的相关性，这两个数量之间的相关性在小线程占主导地位的数据中很高，而在长线程中则不断下降。然而，尽管diggs的数量和平均情绪反应的相关性在更长的线程中趋于增长，但评论数量和平均情绪反应之间的相关性几乎为零。我们还表明，最初的一组评论给一个故事有一个实质性的影响，进一步的“生活”的讨论：高消极的平均情绪在前10个评论导致更长的线程，而相反的情况下，在较短的讨论结果。我们还建议存在两种不同的机制来管理讨论的演变，因此，其长度。
英文摘要：
We performed statistical analysis on data from the Digg.com website, which enables its users to express their opinion on news stories by taking part in forum-like discussions as well as directly evaluate previous posts and stories by assigning so called "diggs". Owing to fact that the content of each post has been annotated with its emotional value, apart from the strictly structural properties, the study also includes an analysis of the average emotional response of the posts commenting the main story. While analysing correlations at the story level, an interesting relationship between the number of diggs and the number of comments received by a story was found. The correlation between the two quantities is high for data where small threads dominate and consistently decreases for longer threads. However, while the correlation of the number of diggs and the average emotional response tends to grow for longer threads, correlations between numbers of comments and the average emotional response are almost zero. We also show that the initial set of comments given to a story has a substantial impact on the further "life" of the discussion: high negative average emotions in the first 10 comments lead to longer threads while the opposite situation results in shorter discussions. We also suggest presence of two different mechanisms governing the evolution of the discussion and, consequently, its length.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
