Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates

被引：1

作者：

Khosla, Sopan ^{[1
]}

Chhaya, Niyati ^{[1
]}

Jindal, Shivam ^{[2
]}

Saha, Oindrila ^{[3
]}

Srivastava, Milind ^{[4
]}

机构：

[1] Adobe Res, Big Data Experience Lab, Bangalore, Karnataka, India

[2] Indian Inst Technol, Roorkee, Uttar Pradesh, India

[3] Indian Inst Technol, Kharagpur, W Bengal, India

[4] Indian Inst Technol, Chennai, Tamil Nadu, India

来源：

SOCIAL INFORMATICS, SOCINFO 2019 | 2019年 / 11864卷

关键词：

D O I：

10.1007/978-3-030-34971-4_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Social media is the primary platform for discussions and reactions during various social events. Studies in this space focus on the aggregate opinion and sentiment analysis but fail to analyze the micro-dynamics. In this work, we present a case study of the 2016 US Presidential Debates, analyzing the user opinion micro-dynamics across the timeline. We present an opinion variation analysis coupled with micro and macro level user analysis in order to explain opinion change. We also identify and characterize varied user-groups derived through this analyses. We discover that aggregate change in opinion is better explained by the differential influx of polarized population rather than the change in individual's stance or opinion.

引用

页码：287 / 297

页数：11

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