Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter
Social-bots-mediated information manipulation is influencing the public opinion environment, and their role and behavior patterns in news proliferation are worth exploring. Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/4733305 |
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| _version_ | 1832565426161188864 |
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| author | Na Han Hebo Huang Jianjun Wang Bin Shi Li Ren |
| author_facet | Na Han Hebo Huang Jianjun Wang Bin Shi Li Ren |
| author_sort | Na Han |
| collection | DOAJ |
| description | Social-bots-mediated information manipulation is influencing the public opinion environment, and their role and behavior patterns in news proliferation are worth exploring. Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New York Times' coverage of Xinjiang issue on the overseas social platform Twitter as an example and employ the two-step flow model. It is found that in the role of second-step diffusion, unlike posting news indiscriminately in first-step diffusion, social bots are more inclined to postcontroversial information in second-step diffusion; in terms of diffusion patterns, although social bots are more engaged in first-step diffusion than in second-step diffusion and can trigger human users to retweet, they are still inferior to humans in terms of influence. |
| format | Article |
| id | doaj-art-1bbe7b63b9b44ced937e14bbea51150c |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-1bbe7b63b9b44ced937e14bbea51150c2025-02-03T01:07:36ZengWileyComplexity1099-05262022-01-01202210.1155/2022/4733305Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on TwitterNa Han0Hebo Huang1Jianjun Wang2Bin Shi3Li Ren4People's Public Security University of ChinaSchool of Journalism and CommunicationCanvard CollegePeople's Public Security University of ChinaCanvard CollegeSocial-bots-mediated information manipulation is influencing the public opinion environment, and their role and behavior patterns in news proliferation are worth exploring. Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New York Times' coverage of Xinjiang issue on the overseas social platform Twitter as an example and employ the two-step flow model. It is found that in the role of second-step diffusion, unlike posting news indiscriminately in first-step diffusion, social bots are more inclined to postcontroversial information in second-step diffusion; in terms of diffusion patterns, although social bots are more engaged in first-step diffusion than in second-step diffusion and can trigger human users to retweet, they are still inferior to humans in terms of influence.http://dx.doi.org/10.1155/2022/4733305 |
| spellingShingle | Na Han Hebo Huang Jianjun Wang Bin Shi Li Ren Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter Complexity |
| title | Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter |
| title_full | Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter |
| title_fullStr | Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter |
| title_full_unstemmed | Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter |
| title_short | Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter |
| title_sort | information diffusion model of social bots an analysis of the spread of coverage of china issues by the new york times on twitter |
| url | http://dx.doi.org/10.1155/2022/4733305 |
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