The influence of feedback with different opinions on continued user participation in online newsgroups

2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013) Pub Date : 2013-08-25 DOI:10.1145/2492517.2492555

Teng Wang, Keith C. Wang, Fredrik Erlandsson, S. F. Wu, Robert W. Faris

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引用次数: 8

Abstract

With the popularity of social media in recent years, it has been a critical topic for social network designer to understand the factors that influence continued user participation in online newsgroups. Our study examines how feedback with different opinions is associated with participants' lifetime in online newsgroups. Firstly, we propose a new method of classifying different opinions among user interaction contents. Generally, we leverage user behavior information in online newsgroups to estimate their opinions and evaluate our classification results based on linguistic features. In addition, we also implement this opinion classification method into our SINCERE system as a real-time service. Based on this opinion classification tool, we use survival analysis to examine how others' feedback with different opinions influence continued participation. In our experiment, we analyze more than 88,770 interactions on the official Occupy LA Facebook page. Our final result shows that not only the feedback with the same opinions as the user, but also the feedback with different opinions can motivate continued user participation in online newsgroup. Furthermore, an interaction of feedback with both the same and different opinions can boost user continued participation to the greatest extent. This finding forms the basis of understanding how to improve online service in social media.

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不同意见的反馈对用户持续参与在线新闻组的影响

随着近年来社交媒体的普及，了解影响用户持续参与在线新闻组的因素已成为社交网络设计者的一个重要课题。我们的研究考察了不同意见的反馈与在线新闻组参与者的寿命之间的关系。首先，我们提出了一种对用户交互内容中不同意见进行分类的新方法。通常，我们利用在线新闻组中的用户行为信息来估计他们的意见，并基于语言特征评估我们的分类结果。此外，我们还将这种意见分类方法作为实时服务，落实到我们的诚信系统中。基于这个意见分类工具，我们使用生存分析来检验其他人的不同意见反馈如何影响持续参与。在我们的实验中，我们分析了占领洛杉矶官方Facebook页面上超过88,770个互动。我们的最终结果表明，无论是与用户意见一致的反馈，还是与用户意见不同的反馈，都能激发用户在网络新闻组中的持续参与。此外，相同意见和不同意见的反馈互动可以最大程度地促进用户的持续参与。这一发现为理解如何改善社交媒体的在线服务奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)

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