Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)

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Social Media Stocks Reviews Big Data Management Research

Authors
Nanli Zhu1, Boyu Jia1, *, Rui Li1
1Yunnan University of Finance and Economics, LianHuang WuHua, Kunming, China
*Corresponding author. Email: 1135027156@qq.com
Corresponding Author
Boyu Jia
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-056-5_46How to use a DOI?
Keywords
stock reviews; big data management; signal theory; social media
Abstract

[Purpose/Significance] In order to enhance the big data management of stock reviews by regulators, make management more scientific and efficient, and improve the screening efficiency of big data stock reviews by investors. This paper explores the influencing factors of the perceived usefulness of big data in social media stock reviews. [Methods/Process] Based on the Information adoption theory, this paper constructed a factor theory model of the helpfulness of stock review information through the signals related to reviewers and reviews and the signal environment. Using Tobit regression to empirically test the relationship between various signals and review helpfulness. [Result/Conclusion] The findings suggest that the perceived helpfulness of stock reviews is positively influenced by review images, review information entropy, review professionalism, review bilaterality, financial blogger certification, number of followers of the reviewer, and published at non-trading times.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-056-5
ISSN
2589-4900
DOI
10.2991/978-94-6463-056-5_46How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nanli Zhu
AU  - Boyu Jia
AU  - Rui Li
PY  - 2022
DA  - 2022/12/29
TI  - Social Media Stocks Reviews Big Data Management Research
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 320
EP  - 326
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_46
DO  - 10.2991/978-94-6463-056-5_46
ID  - Zhu2022
ER  -