Online debating forums are important social media for people to voice their opinions and engage in debates with each other. Measuring user relevance on these forums can be useful to identify different user profiles or behaviors in online debates, for example, users that tend to participate at the beginning of a debate and whose comments trigger participation, or users that post relevant comments but are not replied too much. To help users to distinguish such different user profiles, we propose graded measures based on users’ influence, the controversy that they generate throughout the debates, their contribution to the polarization of the debates, and their social acceptance, that we extract by analyzing the debates in which the users participate. Our approach is based on an argumentation-based analysis that represents a debate as a valued argumentation framework, in which comments of a debate are arguments, the attack relation between arguments models disagreement between comments, and values for arguments represent the overall support of users for comments. Finally, we test our measures with a sample of users from Reddit debates, identifying four main groups of users, from users with almost no impact on the debate to very active ones with decisive comments for the outcome of the debate.

在线辩论论坛是重要的社交媒体，人们可以借此表达自己的意见并相互进行辩论。测量用户在这些论坛上的相关性有助于识别在线辩论中的不同用户资料或行为，例如，倾向于在辩论开始时参与并且其评论触发参与的用户，或者发布相关评论但未回复的用户太多了。为了帮助用户区分这些不同的用户个人资料，我们根据用户的影响力，他们在整个辩论中引起的争议，他们对辩论的两极化的贡献以及他们的社会接受度提出分级评估，我们通过分析辩论得出用户参与其中。我们的方法基于基于辩论的分析，该辩论将辩论表示为有价值的辩论框架，其中辩论的评论为论点，论点模型之间的攻击关系引起评论之间的分歧，论点的值代表用户对评论。最后，我们使用来自Reddit辩论的用户样本测试我们的措施，确定了四个主要的用户组，从对辩论几乎没有影响的用户到对辩论结果具有决定性意见的非常活跃的用户。