Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Advances in Economics, Management and Political Sciences

Series Vol. 78 , 18 April 2024


Open Access | Article

Social Media Data Analytics in the Automotive Industry: A Study of the Interactive Impact of Marketing Strategies and User Ratings

Shihao Xue * 1
1 Faculty of Engineering and Information Technology, University of Melbourne, Grattan Street, Parkville, Victoria, 3010, Australia

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 78, 142-147
Published 18 April 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Shihao Xue. Social Media Data Analytics in the Automotive Industry: A Study of the Interactive Impact of Marketing Strategies and User Ratings. AEMPS (2024) Vol. 78: 142-147. DOI: 10.54254/2754-1169/78/20241663.

Abstract

In the era of ubiquitous social media, car companies are navigating the challenges of user feedback on these platforms. This study investigates the influence of social media interactions on the market competitiveness and brand image of automotive firms. Using Python for web scraping, this study collected and analyzed user comments from Sina Weibo, focusing on both traditional fuel and new energy car companies. The comments were subjected to sentiment analysis using a sentiment dictionary, revealing users' emotional tendencies towards various car brands. The findings indicate notable differences in social media sentiment and brand positioning among different car companies. These insights are crucial for automotive companies to leverage social media feedback to enhance their products, services, and brand strategies.

Keywords

Social Media, Data Analytics, Marketing Strategy, Automotive Industry, User Reviews

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 3rd International Conference on Business and Policy Studies
ISBN (Print)
978-1-83558-379-1
ISBN (Online)
978-1-83558-380-7
Published Date
18 April 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/78/20241663
Copyright
18 April 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated