Top Comment or Flop Comment? (Top Comment or Flop Comment? User Engagement in Online News Discussions)

这个数据集包含四个文件，分别是强烈或弱参与的在线新闻评论（请参阅论文了解详细信息）：“热门评论”是 1) 卫报政治版块中相对数量最多的前 10% 评论收到的回复（3111 个样本）和 2）政治部分的前 10% 评论，相对数量最多（11081 个样本）“失败评论”是 1）卫报政治部分的失败 10% 评论收到的相对数量最少的回复（3111 个样本）和 2）在政治部分的失败 10% 评论与收到的赞成票的相对数量最少（11081 个样本）

This dataset comprises four files, encompassing online news comments exhibiting either strong or weak user engagement. Please consult the associated paper for comprehensive details. The "Top Comments" are split into two subsets: 1) Replies garnered by the top 10% of comments in The Guardian's politics section with the relatively highest response counts (3,111 samples); 2) The top 10% of comments in The Guardian's politics section with the relatively highest engagement levels (11,081 samples). The "Low-engagement (Failed) Comments" are likewise divided into two subsets: 1) Replies garnered by the bottom 10% of comments in The Guardian's politics section with the relatively lowest response counts (3,111 samples); 2) The bottom 10% of comments in The Guardian's politics section with the relatively lowest number of received upvotes (11,081 samples).

搜集汇总

背景与挑战

背景概述

该数据集包含《卫报》政治版块在线新闻讨论中的用户互动评论，分为‘热门评论’和‘失败评论’两类，每类基于回复数量或赞成票数量各包含3111和11081个样本。数据用于分析用户参与度，相关研究于2020年发布。