| INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Social bots and mass media manipulated public opinion through dual opinion climate |
| Chun Cheng(程纯)1,3, Yun Luo(罗云)2,3, Chang-bin Yu(于长斌)3, and Wei-ping Ding(丁卫平)1,† |
1 School of Information Science and Technology, Nantong University, Nantong 226019, China;
2 School of Computer Science and Technology, Zhejiang University, Hangzhou 310024, China;
3 School of Engineering, Westlake University, Hangzhou 310024, China |
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Abstract Opinion dynamics models based on the multi-agent method commonly assume that interactions between individuals in a social network result in changes in their opinions. However, formation of public opinion in a social network is a macroscopic statistical result of opinions of all expressive individuals (corresponding to silent individuals). Therefore, public opinion can be manipulated not only by changing individuals' opinions, but also by changing their states of expression (or silence) which can be interpreted as the phenomenon "spiral of silence" in social psychology. Based on this theory, we establish a "dual opinion climate" model, involving social bots and mass media through a multi-agent method, to describe mechanism for manipulation of public opinion in social networks. We find that both social bots (as local variables) and mass media (as a global variable) can interfere with the formation of public opinion, cause a significant superposition effect when they act in the same direction, and inhibit each other when they act in opposite directions.
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Received: 19 April 2021
Revised: 06 June 2021
Accepted manuscript online: 16 June 2021
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PACS:
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87.23.Ge
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(Dynamics of social systems)
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02.50.Le
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(Decision theory and game theory)
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| Fund: This work was supported by the National Natural Science Foundation of China (Grant Nos. 61976120 and 62006128) and the Humanities and Social Science Fund of Ministry of Education of China (Grant No. 21YJCZH013). |
Corresponding Authors:
Wei-ping Ding
E-mail: dwp9988@163.com
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Cite this article:
Chun Cheng(程纯), Yun Luo(罗云), Chang-bin Yu(于长斌), and Wei-ping Ding(丁卫平) Social bots and mass media manipulated public opinion through dual opinion climate 2022 Chin. Phys. B 31 018701
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[1] Chen X and De Bie T 2018 Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery and data mining, August 19-23, 2018, London, UK, p. 1197
[2] Musco C and Tsourakakis C E 2018 Proceedings of the 2018 World Wide Web conference, April 23-27, 2018, Lyon, France, p. 369
[3] Das A, Gollapudi S and Munagala K 2014 Proceedings of the 7th ACM international conference on web search and data mining, February 24-28, 2014, New York, USA, p. 403
[4] Bakshy E, Messing S and Adamic L A 2015 Science 348 1130
[5] Garimella K, De Francisci Morales G, Gionis A and Mathioudakis M 2018 Proceedings of the 2018 World Wide Web conference, April 23-27, 2018, Lyon, France, p. 913
[6] Matakos A, Terzi E and Tsaparas P 2017 Data. Min. Knowl. Disc. 31 1480
[7] Chitra U and Musco C 2020 Proceedings of the 13th International conference on web search and data mining, February 3-7, 2020, Houston, USA, p.115
[8] Ferrara E, Varol O, Davis C, Menczer F and Flammini A 2016 Commun. Acm. 59 96
[9] Shao C, Ciampaglia G L, Varol O, Yang K, Flammini A and Menczer F 2018 Nat. Commun. 9 1
[10] Stella M, Ferrara E and De Domenico M. 2018 Proc. Natl. Acad. Sci. USA 115 12435
[11] Luo Y, Cheng C, Li Y and Yu C. 2021 Commun. Nonlinear Sci. 98 105772
[12] Ross B, Pilz L, Cabrera B, Brachten F, Neubaum G and Stieglitz S 2019 Eur. J. Inform. Syst. 28 394
[13] Sohn D and Geidner N 2016 Int. J. Public. Opin. Res. 28 1
[14] Anderson B D O and Ye M 2019 Int. J. Autom. Comput. 16 129
[15] Wang L, Tian Y and Du J 2018 Sci. China. Inform. Sci. 48 3 (in Chinese)
[16] Wang Y, Guo T, Li W and Chen B 2020 Chin. Phys. B 29 100204
[17] Xia W, Ye M, Liu J, Cao M and Sun X 2020 Automatica 120 109113
[18] Ye M, Zino L, Mlakar Z, Bolderdijk J W, Risselada H, Fennis B and Cao M 2021 Nat. Commun. 12 1
[19] Hou J, Li W and Jiang M 2021 Physica A 574 125968
[20] Li H, Bu Z, Wang Z and Cao J 2019 IEEE Trans. Industrial Informatics 16 5327
[21] Zhang W, Zhang Z, Zeadally S and Leung V 2019 IEEE Trans. Industrial Informatics 15 4216
[22] Li H, Wang Q, Liu S and Hu J 2020 Physica A 542 123514
[23] Noelle-Neumann E 1993 The spiral of silence: Public opinion, our social skin, 1st edn (University of Chicago Press)
[24] Chengjun W 2012 Proceedings of the 62nd annual conference of International Communication Association (ICA), May 24-28, 2012, Arizona, USA
[25] Chen H T 2018 New. Media Soc. 20 3917
[26] Kennamer J D 1990 Commun. Res. 17 393
[27] Sohn D and Geidner N 2016 Int. J. Public Opin. Res. 28 25
[28] Cheng C, Luo Y and Yu C 2020 Physica A 551 124163 |
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