Analysis of ChatGPT-generated texts on Taiwan’s disputed status
Artificial intelligence technologies are gradually becoming more common in modern society. The political sphere is not left aside, where these technologies are also being considered and are beginning to be applied. The purpose of this research is to identify the features of the presentation of texts...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Peoples’ Friendship University of Russia (RUDN University)
2024-12-01
|
| Series: | RUDN Journal of Studies in Literature and Journalism |
| Subjects: | |
| Online Access: | https://journals.rudn.ru/literary-criticism/article/viewFile/41919/24156 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846126836722958336 |
|---|---|
| author | Aleksandr Yu. Petukhov Dmitriy I. Kaminchenko |
| author_facet | Aleksandr Yu. Petukhov Dmitriy I. Kaminchenko |
| author_sort | Aleksandr Yu. Petukhov |
| collection | DOAJ |
| description | Artificial intelligence technologies are gradually becoming more common in modern society. The political sphere is not left aside, where these technologies are also being considered and are beginning to be applied. The purpose of this research is to identify the features of the presentation of texts generated by one of the most popular online services, neural network ChatGPT, for key text queries associated with two approaches to the issue of the political status of Taiwan: considering Taiwan as part of the Chinese People’s Republic or as an independent and sovereign territorial entity. Quantitative content analysis and frame analysis are used as basic methods. The information array of data consists of the results obtained from two text queries: “Taiwan as an independent entity in...” and “Taiwan as part of China in...” for four time points (2010, 2015, 2020 and 2023), selected based on the principle of equal distance and the period of the study (2023). The total number of words for analysis was 1402. The study found that for a text query directly related to the independent and sovereign political status of Taiwan, artificial intelligence generates larger texts than for a text query related to the statement of its territorial affiliation with the PRC. From the point of view of symbolic words/expressions-markers, indicating a particular approach to the specified political issues, the content generated by artificial intelligence revealed the absolute advantage of words/expressions-markers, symbolically reflecting the idea of the independent and sovereign political status of Taiwan, and not its territorial affiliation with the PRC. Possible reasons for such a distribution of the frequency of occurrence of the specified words/expressions of markers in the information array are indicated. The presence of at least three common frames in the entire information array has been established, which are designated as follows: “Independent entity”, “The part of China” and “Tensions and confrontation”. |
| format | Article |
| id | doaj-art-f9924c2384fa4f359002e9fc7ae9375c |
| institution | Kabale University |
| issn | 2312-9220 2312-9247 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Peoples’ Friendship University of Russia (RUDN University) |
| record_format | Article |
| series | RUDN Journal of Studies in Literature and Journalism |
| spelling | doaj-art-f9924c2384fa4f359002e9fc7ae9375c2024-12-12T08:44:46ZengPeoples’ Friendship University of Russia (RUDN University)RUDN Journal of Studies in Literature and Journalism2312-92202312-92472024-12-0129359361110.22363/2312-9220-2024-29-3-593-61121083Analysis of ChatGPT-generated texts on Taiwan’s disputed statusAleksandr Yu. Petukhov0https://orcid.org/0000-0002-7412-5397Dmitriy I. Kaminchenko1https://orcid.org/0000-0002-3193-3423Lomonosov Moscow State UniversityLobachevsky State University of Nizhny NovgorodArtificial intelligence technologies are gradually becoming more common in modern society. The political sphere is not left aside, where these technologies are also being considered and are beginning to be applied. The purpose of this research is to identify the features of the presentation of texts generated by one of the most popular online services, neural network ChatGPT, for key text queries associated with two approaches to the issue of the political status of Taiwan: considering Taiwan as part of the Chinese People’s Republic or as an independent and sovereign territorial entity. Quantitative content analysis and frame analysis are used as basic methods. The information array of data consists of the results obtained from two text queries: “Taiwan as an independent entity in...” and “Taiwan as part of China in...” for four time points (2010, 2015, 2020 and 2023), selected based on the principle of equal distance and the period of the study (2023). The total number of words for analysis was 1402. The study found that for a text query directly related to the independent and sovereign political status of Taiwan, artificial intelligence generates larger texts than for a text query related to the statement of its territorial affiliation with the PRC. From the point of view of symbolic words/expressions-markers, indicating a particular approach to the specified political issues, the content generated by artificial intelligence revealed the absolute advantage of words/expressions-markers, symbolically reflecting the idea of the independent and sovereign political status of Taiwan, and not its territorial affiliation with the PRC. Possible reasons for such a distribution of the frequency of occurrence of the specified words/expressions of markers in the information array are indicated. The presence of at least three common frames in the entire information array has been established, which are designated as follows: “Independent entity”, “The part of China” and “Tensions and confrontation”.https://journals.rudn.ru/literary-criticism/article/viewFile/41919/24156chatgptchatgptlanguage modelsneural networksartificial intelligencetaiwancontent analysispeople’s republic of china |
| spellingShingle | Aleksandr Yu. Petukhov Dmitriy I. Kaminchenko Analysis of ChatGPT-generated texts on Taiwan’s disputed status RUDN Journal of Studies in Literature and Journalism chatgpt chatgpt language models neural networks artificial intelligence taiwan content analysis people’s republic of china |
| title | Analysis of ChatGPT-generated texts on Taiwan’s disputed status |
| title_full | Analysis of ChatGPT-generated texts on Taiwan’s disputed status |
| title_fullStr | Analysis of ChatGPT-generated texts on Taiwan’s disputed status |
| title_full_unstemmed | Analysis of ChatGPT-generated texts on Taiwan’s disputed status |
| title_short | Analysis of ChatGPT-generated texts on Taiwan’s disputed status |
| title_sort | analysis of chatgpt generated texts on taiwan s disputed status |
| topic | chatgpt chatgpt language models neural networks artificial intelligence taiwan content analysis people’s republic of china |
| url | https://journals.rudn.ru/literary-criticism/article/viewFile/41919/24156 |
| work_keys_str_mv | AT aleksandryupetukhov analysisofchatgptgeneratedtextsontaiwansdisputedstatus AT dmitriyikaminchenko analysisofchatgptgeneratedtextsontaiwansdisputedstatus |