|
Title:
|
DEPICTING U.S.-CHINA DISPUTES ON TECH GIANTS
THROUGH SOCIAL MEDIA:
AN ATTEMPT OF COMPUTATIONAL POLITICAL
COMMUNICATION |
|
Author(s):
|
Yekai Xu and Mingqi Xie |
|
ISBN:
|
978-989-8704-38-2 |
|
Editors:
|
Piet Kommers, Inmaculada Arnedillo Sánchez and Pedro Isaías |
|
Year:
|
2022 |
|
Edition:
|
Single |
|
Keywords:
|
Big Data, Social Media, Computational Political Communication, U.S.-China Disputes, Tech Giants, Twitter |
|
First Page:
|
147 |
|
Last Page:
|
154 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Computational political communication based on big data analytics of social media texts brings a prospecting framework
to understand the public's perception of and interaction with political issues globally. This study collects a large scale of
user-generated Twitter data to delineate online political communication dynamics upon U.S.-China disputes. Tech giants
Huawei, Tencent, and ByteDance are chosen as epitomes of the U.S.-China power game to grasp more detailed opinions.
Seven English-speaking countries: the U.S., the U.K., Canada, Australia, New Zealand, India, and Pakistan, are selected as
keywords for filtering among tweets collected from March 2020 to March 2021 across the globe. Automated
text-based sentiment analysis is conducted. This study shows that the popularity of discussions about given countries and
companies is inconsistent and might be event-induced. Also, the discourse of all these companies is interrelated rather than
separated. This research facilitates future studies on fine-grained, categorized, and automated sentiment & discourse
analysis to depict a broader panorama of online public opinion. |
|
|
|
|
|
|
