Date of Graduation

7-2021

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computer Science (PhD)

Degree Level

Graduate

Department

Computer Science & Computer Engineering

Advisor

Xiaoqing “Frank” Liu

Committee Member

Justin Zhan

Second Committee Member

Qinghua Li

Third Committee Member

Brajendra Nath Panda

Fourth Committee Member

Douglas Adams

Keywords

argument discovery, argument search, contoversy, cyber-argumentation, focal set, mobile app

Abstract

User-generated content (UGC) platforms host different forms of information, such as audio, video, pictures, and text. They have many online applications, such as social media, blogs, photo and video sharing, customer reviews, debate, and deliberation platforms. Usually, the content of these platforms is provided and consumed by users. Most of these platforms, mainly social media and blogs, are often used for online discussion. These platforms offer tools for users to share and express opinions. Commonly, people from different backgrounds and origins discuss opinions about various issues over the Internet. Furthermore, discussions among users contain substantial information from which knowledge about collective intelligence can be extracted. Collective Intelligence is wisdom and knowledge that grows when a group works together collectively or cooperatively. In this dissertation, strides in the cyber-argumentation field are made. The body of this work in this dissertation revolves around different areas: (1) bringing the intelligent cyber-argumentation into the handheld device space and showing the effectiveness of bringing large-scale cyber-argumentation into handheld devices, (2) constructing the argument discovery framework and identifying the arguments attributes, (3) modeling the controversial degree of cyber-argumentation discussions using well-known measures and, (4) discovering topic-oriented focal sets in cyber-argumentation using link analysis, topic modeling and social roles. This dissertation is concluded by discussing the challenging technical implications of this emerging research area and proposing future work avenues.

Available for download on Sunday, September 10, 2023

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