Quantifying Salient Concepts Discussed in Social Media Content: A Case Study using Twitter Content Written by Radicalized Youth

Shadi Ghajar-Khosravi, P. Kwantes, N. Derbentseva, Laura Huey
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引用次数: 18

Abstract

Social Media has become an important source for information about people and real-world events. Its importance is driven largely by the enormous number of people generating and updating content in Social Media platforms. In this report, we measure the extent to which we can accurately measure the salience of topics/concepts that might be of interest to an analyst, and evaluate whether concepts like positive and negative sentiment can be meaningfully extracted from Social Media content. As a test case, we examined Twitter content generated by female users who are sympathetic to the Islamic State in Iraq and Syria (ISIS). The basic technique proposed here can be developed further to create a more fine-grained exanimation of Social Media content.
量化社会媒体内容中讨论的突出概念:激进青年撰写的Twitter内容的案例研究
社交媒体已经成为了解人和现实世界事件的重要信息来源。它的重要性很大程度上是由大量的人在社交媒体平台上生成和更新内容所驱动的。在这份报告中,我们衡量了我们能够准确衡量分析师可能感兴趣的主题/概念的显著性的程度,并评估了积极和消极情绪等概念是否可以从社交媒体内容中有意义地提取出来。作为一个测试案例,我们研究了同情伊拉克和叙利亚伊斯兰国(ISIS)的女性用户生成的Twitter内容。这里提出的基本技术可以进一步开发,以创建更细粒度的社交媒体内容。
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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