Understanding how social discussion platforms like Reddit are influencing financial behavior

Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey, Aaditya Agrawal, Pramit Kumar Chandra, Animesh Mukherjee
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Abstract

This study proposes content and interaction analysis techniques for a large repository created from social media content. Though we have presented our study for a large platform dedicated to discussions around financial topics, the proposed methods are generic and applicable to all platforms. Along with an extension of topic extraction method using Latent Dirichlet Allocation, we propose a few measures to assess user participation, influence and topic affinities specifically. Our study also maps user-generated content to components of behavioral finance. While these types of information are usually gathered through surveys, it is obvious that large scale data analysis from social media can reveal many potentially unknown or rare insights. Characterising users based on their platform behavior to provide critical insights about how communities are formed and trust is established in these platforms using graphical analysis is also studied.
了解Reddit等社交讨论平台如何影响金融行为
本研究为社交媒体内容创建的大型存储库提出了内容和交互分析技术。虽然我们为一个专门讨论金融话题的大型平台展示了我们的研究,但所提出的方法是通用的,适用于所有平台。随着使用潜狄利克雷分配的主题提取方法的扩展,我们提出了一些具体评估用户参与度,影响力和主题亲和力的措施。我们的研究还将用户生成的内容映射到行为金融学的组成部分。虽然这些类型的信息通常是通过调查收集的,但很明显,来自社交媒体的大规模数据分析可以揭示许多潜在的未知或罕见的见解。还研究了基于用户的平台行为来描述用户特征,以提供关于如何在这些平台上形成社区和建立信任的关键见解。
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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