[1]XU Lingyu,ZHONG Yixin,CHEN Zhicheng.Research on the influence factors of social robots on social opinions[J].CAAI Transactions on Intelligent Systems,2024,19(1):122-131.[doi:10.11992/tis.202305044]
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Research on the influence factors of social robots on social opinions

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 19 Number of periods: 2024 1 Page number: 122-131 Column: 学术论文—机器人 Public date: 2024-01-05
Title:
Research on the influence factors of social robots on social opinions
Author(s):
XU Lingyu1;  ZHONG Yixin2; 3;  CHEN Zhicheng3; 4
1. Faculty of Social Sciences and Law, University of Bristol, Bristol, BS8 1QU, UK;
2. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China;
3. BUPT-GFDPH Artificial Intelligence Joint Laboratory, Beijing 100876, China;
4. Beijing Grid Fractal Dimensional Technology Co., Ltd, Beijing 100070, China
Keywords:
social robots; social media; public opinion; opinion influence; influence factor; artificial intelligence; social media; public opinion formation mechanism
CLC:
TP391
DOI:
10.11992/tis.202305044
Abstract:
In recent years, social robots have become the latest research direction in the field of artificial intelligence. Due to a series of major events such as the COVID-19 epidemic, the Russia-Ukraine conflict, and Brexit, social robots have had an important impact on public opinions, and the academic community has paid more attention to social robots. The research work includes: proposing a social opinion formation process model based on social robots, which is divided into three stages: public opinions emerging, competing for influence, and forming public opinions. Social robots can intervene and influence in these three stages; Studying the cascading effect, working principle, and influencing factors of social robots, and pointing out that media type, ambiguity and controversy of events, audience group, etc. are the main factors affecting social public opinions; The questionnaire, experiment and case study show that social bots have a significant impact on the speed of information spreading and the formation of netizen’s opinions/tendencies. The experimental data has important reference significance for future research.
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