The Impact of Artificial Intelligence on Social Networks: A Case Study of Political Participation in the 2024 Presidential Election
الموضوعات :
Fazel Matoori
1
,
Mohammad Reza Ghaedi
2
,
Garineh Keshishyan Siraki
3
1 - Department of Political Science, Kish International Branch, Islamic Azad University, Kish, Iran
2 - Department of Political Science, Shiraz Branch, Islamic Azad University, Shiraz, Iran
3 - Department of Political Science, South Tehran Branch, Islamic Azad University, Tehran, Iran & Member of the Western Studies Research Institute
الکلمات المفتاحية: Artificial Intelligence, Social Networks, Political Participation, Presidential Elections ,
ملخص المقالة :
The primary issue of this research was to investigate the relationship between artificial intelligence (AI) and user behavior patterns on social networks, the impact of AI on voting behavior, and the connection between the use of online data analysis and students' decision-making in presidential elections. This question arises while considering the influence of AI on user behavior patterns and decision-making in presidential elections. The objective of this study was to evaluate the impact of AI variables and online data on user behavior and decision-making in various contexts. This re-search examined the study hypothesis to better understand how behavior and decision-making are shaped in the digital age and the role of modern technologies in these processes. To conduct this research, a survey method and available library resources were utilized. The study used existing sources and collected necessary data from the target population, namely students at universities in Tehran, and employed descriptive and inferential statistics for data analysis. The findings of this research indicate that demographic variables and AI play a significant role in user behavior and de-cision-making, and the use of online data analysis can influence students' decision-making in presi-dential elections. Additionally, AI can be effective in detecting user behavior patterns on social networks and influencing voting behavior. These results can be useful for policymakers, election officials, and social activists in designing effective strategies to monitor user behavior and decision-making in the digital age, contributing to a better understanding of AI's role in shaping behavior and decision-making in society.
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