Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligence
Modern artificial intelligence applications are increasingly covering various areas of society. They are beginning to have a noticeable impact on politics in general and political communication in particular. Of considerable interest is the analysis of the role of AI applications in the electoral pr...
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/42296/24348 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841553563026718720 |
|---|---|
| author | Dmitriy I. Kaminchenko Aleksandr Yu. Petukhov |
| author_facet | Dmitriy I. Kaminchenko Aleksandr Yu. Petukhov |
| author_sort | Dmitriy I. Kaminchenko |
| collection | DOAJ |
| description | Modern artificial intelligence applications are increasingly covering various areas of society. They are beginning to have a noticeable impact on politics in general and political communication in particular. Of considerable interest is the analysis of the role of AI applications in the electoral process. The purpose is to identify the content and semantic features of the presentation of texts generated by one of the most popular online services (neural networks) ChatGPT for key text queries related to the two main candidates in the 2024 US presidential election - Donald Trump and Kamala Harris. The main empirical methods of the study were quantitative content analysis of an undirected type and frame analysis. The information array consisted of the results obtained from 41 text queries. The total volume of generated texts was 3503 words. As the result, it was found that the texts of the largest volume are generated by the artificial intelligence application based on queries related to the possible role of the two specified politicians in solving certain current problems of American society, and not to their personal and professional traits. In the course of the research, at least two popular frames found in the generated texts were identified - “efficient politician” and “ineffective politician”. Both the overall frequency of occurrence of the designated frames in texts dedicated to the two political leaders and the number of key expressions-markers responsible for the manifestation of both frames were determined. This made it possible to establish in relation to which topics a particular frame is more common. The general conclusion was made that in the texts generated by ChatGPT in the texts about Kamala Harris, the frame “efficient politician” is more often presented than in similar texts dedicated to Donald Trump. |
| format | Article |
| id | doaj-art-e7c11146457c41038ed5325349f9550f |
| 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-e7c11146457c41038ed5325349f9550f2025-01-09T07:50:12ZengPeoples’ Friendship University of Russia (RUDN University)RUDN Journal of Studies in Literature and Journalism2312-92202312-92472024-12-0129477278710.22363/2312-9220-2024-29-4-772-78721098Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligenceDmitriy I. Kaminchenko0https://orcid.org/0000-0002-3193-3423Aleksandr Yu. Petukhov1https://orcid.org/0000-0002-7412-5397Lobachevsky State UniversityNeimark UniversityModern artificial intelligence applications are increasingly covering various areas of society. They are beginning to have a noticeable impact on politics in general and political communication in particular. Of considerable interest is the analysis of the role of AI applications in the electoral process. The purpose is to identify the content and semantic features of the presentation of texts generated by one of the most popular online services (neural networks) ChatGPT for key text queries related to the two main candidates in the 2024 US presidential election - Donald Trump and Kamala Harris. The main empirical methods of the study were quantitative content analysis of an undirected type and frame analysis. The information array consisted of the results obtained from 41 text queries. The total volume of generated texts was 3503 words. As the result, it was found that the texts of the largest volume are generated by the artificial intelligence application based on queries related to the possible role of the two specified politicians in solving certain current problems of American society, and not to their personal and professional traits. In the course of the research, at least two popular frames found in the generated texts were identified - “efficient politician” and “ineffective politician”. Both the overall frequency of occurrence of the designated frames in texts dedicated to the two political leaders and the number of key expressions-markers responsible for the manifestation of both frames were determined. This made it possible to establish in relation to which topics a particular frame is more common. The general conclusion was made that in the texts generated by ChatGPT in the texts about Kamala Harris, the frame “efficient politician” is more often presented than in similar texts dedicated to Donald Trump.https://journals.rudn.ru/literary-criticism/article/viewFile/42296/24348chatgptlanguage modelsneural networksartificial intelligenceelection campaignusapresidential electionscontent analysisframe analysis |
| spellingShingle | Dmitriy I. Kaminchenko Aleksandr Yu. Petukhov Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligence RUDN Journal of Studies in Literature and Journalism chatgpt language models neural networks artificial intelligence election campaign usa presidential elections content analysis frame analysis |
| title | Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligence |
| title_full | Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligence |
| title_fullStr | Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligence |
| title_full_unstemmed | Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligence |
| title_short | Analysis of the features of representation of candidates in the 2024 US presidential elections in the application of generative artificial intelligence |
| title_sort | analysis of the features of representation of candidates in the 2024 us presidential elections in the application of generative artificial intelligence |
| topic | chatgpt language models neural networks artificial intelligence election campaign usa presidential elections content analysis frame analysis |
| url | https://journals.rudn.ru/literary-criticism/article/viewFile/42296/24348 |
| work_keys_str_mv | AT dmitriyikaminchenko analysisofthefeaturesofrepresentationofcandidatesinthe2024uspresidentialelectionsintheapplicationofgenerativeartificialintelligence AT aleksandryupetukhov analysisofthefeaturesofrepresentationofcandidatesinthe2024uspresidentialelectionsintheapplicationofgenerativeartificialintelligence |