Analyzing topic attention in online small groups

J. Caetano, Jussara M. Almeida, Marcos André Gonçalves, Wagner Meira, Jr, H. T. Marques-Neto, V. Almeida
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引用次数: 1

Abstract

Attention is a scarce resource disputed by algorithms and people on the Internet. This competition for attention is part of online spaces especially online small groups where there is a limited number of individuals interacting with each other using text and media content that is not controlled by algorithms or human curators. In these groups, as certain participants and piece of content can catch the collective attention, a question that naturally arises is: how to analyze topic attention in online small groups? In this paper, we propose a methodology aimed at answering this question. Our proposal consists of sets of analyses over topical (obtained from topic analysis) transition graphs for characterizing attention allocation, permanence and shifting as well as participant role characterization during discussions in online small groups. We experimented with our methodology using WhatsApp groups as a case study. Among other results, we identified and characterized abrupt and smooth topic transitions as well as patterns of participant activity related to certain topics.
分析在线小组的话题关注
注意力是一种稀缺资源,在互联网上受到算法和人的争议。这种争夺注意力的竞争是在线空间的一部分,尤其是在线小团体,在那里,数量有限的个人通过文本和媒体内容相互交流,而这些内容不受算法或人工策展人的控制。在这些小组中,由于特定的参与者和内容可以吸引集体关注,一个自然出现的问题是:如何分析在线小组中的主题关注?在本文中,我们提出了一种旨在回答这个问题的方法。我们的建议包括对主题(从主题分析中获得)转移图的分析集,用于表征在线小组讨论中的注意力分配,持久性和转移以及参与者角色表征。我们以WhatsApp群组为案例,对我们的方法进行了试验。在其他结果中,我们确定并描述了突然和平稳的主题转换以及与某些主题相关的参与者活动模式。
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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