Social media and capital markets: an interdisciplinary bibliometric analysis
Abstract Social media platforms collect information from complex human social behaviors. It has been shown that they significantly impact capital markets. This article conducts a bibliometric analysis of 363 high-quality articles from the Web of Science on social media and capital markets. First, a...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
|
| Series: | Financial Innovation |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40854-024-00731-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823861685091303424 |
|---|---|
| author | Wen Long Man Guo |
| author_facet | Wen Long Man Guo |
| author_sort | Wen Long |
| collection | DOAJ |
| description | Abstract Social media platforms collect information from complex human social behaviors. It has been shown that they significantly impact capital markets. This article conducts a bibliometric analysis of 363 high-quality articles from the Web of Science on social media and capital markets. First, a descriptive analysis was performed, including discipline distribution, growth trends, institutions, publication sources, influential authors, articles, and countries. Second, collaborative networks identify cooperation between countries and institutions in the network analysis section. Bibliometric coupling analysis determines the relationship between journals of different disciplines. Cluster analysis and keyword co-occurrence networks identify hot research topics. Burst detection and keyword time zone analysis track field development. Finally, keyword analysis and clustering analysis are conducted on the research of different disciplines. These sample papers mainly include seven hot topics, including sentiment analysis and financial market prediction. Articles in business and finance focus more on social media’s impact on capital markets. In contrast, information technology articles focus more on extracting information from social media. Each field also has its unique research directions. This paper contributes to a comprehensive understanding of the research on social media and capital markets. It offers perspectives on disciplinary differences, serving as a valuable scholarly reference for conducting in-depth research. |
| format | Article |
| id | doaj-art-e5dcdcdb883f4849949dd647b4a89876 |
| institution | Kabale University |
| issn | 2199-4730 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Financial Innovation |
| spelling | doaj-art-e5dcdcdb883f4849949dd647b4a898762025-02-09T12:51:13ZengSpringerOpenFinancial Innovation2199-47302025-02-0111113210.1186/s40854-024-00731-2Social media and capital markets: an interdisciplinary bibliometric analysisWen Long0Man Guo1School of Economics and Management, University of Chinese Academy of SciencesSchool of Economics and Management, University of Chinese Academy of SciencesAbstract Social media platforms collect information from complex human social behaviors. It has been shown that they significantly impact capital markets. This article conducts a bibliometric analysis of 363 high-quality articles from the Web of Science on social media and capital markets. First, a descriptive analysis was performed, including discipline distribution, growth trends, institutions, publication sources, influential authors, articles, and countries. Second, collaborative networks identify cooperation between countries and institutions in the network analysis section. Bibliometric coupling analysis determines the relationship between journals of different disciplines. Cluster analysis and keyword co-occurrence networks identify hot research topics. Burst detection and keyword time zone analysis track field development. Finally, keyword analysis and clustering analysis are conducted on the research of different disciplines. These sample papers mainly include seven hot topics, including sentiment analysis and financial market prediction. Articles in business and finance focus more on social media’s impact on capital markets. In contrast, information technology articles focus more on extracting information from social media. Each field also has its unique research directions. This paper contributes to a comprehensive understanding of the research on social media and capital markets. It offers perspectives on disciplinary differences, serving as a valuable scholarly reference for conducting in-depth research.https://doi.org/10.1186/s40854-024-00731-2Social mediaCapital marketsBibliometric analysisInterdisciplinary analysis |
| spellingShingle | Wen Long Man Guo Social media and capital markets: an interdisciplinary bibliometric analysis Financial Innovation Social media Capital markets Bibliometric analysis Interdisciplinary analysis |
| title | Social media and capital markets: an interdisciplinary bibliometric analysis |
| title_full | Social media and capital markets: an interdisciplinary bibliometric analysis |
| title_fullStr | Social media and capital markets: an interdisciplinary bibliometric analysis |
| title_full_unstemmed | Social media and capital markets: an interdisciplinary bibliometric analysis |
| title_short | Social media and capital markets: an interdisciplinary bibliometric analysis |
| title_sort | social media and capital markets an interdisciplinary bibliometric analysis |
| topic | Social media Capital markets Bibliometric analysis Interdisciplinary analysis |
| url | https://doi.org/10.1186/s40854-024-00731-2 |
| work_keys_str_mv | AT wenlong socialmediaandcapitalmarketsaninterdisciplinarybibliometricanalysis AT manguo socialmediaandcapitalmarketsaninterdisciplinarybibliometricanalysis |