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交互网络中的舆论动态:媒体竞争与社会影响。

Opinion dynamics on interacting networks: media competition and social influence.

作者信息

Quattrociocchi Walter, Caldarelli Guido, Scala Antonio

机构信息

1] Laboratory for the modeling of biological and socio-technical systems, Northeastern University, Boston, MA 02115 USA [2] LIMS the London Institute of Mathematical Sciences, 22 South Audley St Mayfair London W1K 2NY, UK [3] IMT Alti Studi Lucca, piazza S. Ponziano 6, 55100 Lucca, Italy.

1] IMT Alti Studi Lucca, piazza S. Ponziano 6, 55100 Lucca, Italy [2] ISC-CNR Physics Dept., Univ. "La Sapienza" Piazzale Moro 5, 00185 Roma, Italy [3] LIMS the London Institute of Mathematical Sciences, 22 South Audley St Mayfair London W1K 2NY, UK.

出版信息

Sci Rep. 2014 May 27;4:4938. doi: 10.1038/srep04938.

DOI:10.1038/srep04938
PMID:24861995
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4033925/
Abstract

The inner dynamics of the multiple actors of the informations systems - i.e, T.V., newspapers, blogs, social network platforms, - play a fundamental role on the evolution of the public opinion. Coherently with the recent history of the information system (from few main stream media to the massive diffusion of socio-technical system), in this work we investigate how main stream media signed interaction might shape the opinion space. In particular we focus on how different size (in the number of media) and interaction patterns of the information system may affect collective debates and thus the opinions' distribution. We introduce a sophisticated computational model of opinion dynamics which accounts for the coexistence of media and gossip as separated mechanisms and for their feedback loops. The model accounts also for the effect of the media communication patterns by considering both the simple case where each medium mimics the behavior of the most successful one (to maximize the audience) and the case where there is polarization and thus competition among media memes. We show that plurality and competition within information sources lead to stable configurations where several and distant cultures coexist.

摘要

信息系统的多个参与者——即电视、报纸、博客、社交网络平台等——的内部动态对舆论的演变起着根本性作用。与信息系统的近期历史(从少数主流媒体到社会技术系统的大规模传播)相一致,在这项工作中,我们研究主流媒体的标志性互动如何塑造舆论空间。特别是,我们关注信息系统的不同规模(媒体数量)和互动模式如何影响集体辩论,进而影响意见分布。我们引入了一个复杂的意见动态计算模型,该模型考虑了媒体和流言作为独立机制的共存及其反馈回路。该模型还通过考虑两种情况来解释媒体传播模式的影响:一种是每个媒体模仿最成功媒体的行为(以最大化受众)的简单情况,另一种是存在两极分化且媒体模因之间存在竞争的情况。我们表明,信息源中的多元性和竞争会导致稳定的配置,其中多种不同的文化共存。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/4931bf498998/srep04938-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/5d0d41698ec6/srep04938-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/04a14c0b4a1a/srep04938-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/6d5c7a9941fb/srep04938-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/4931bf498998/srep04938-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/5d0d41698ec6/srep04938-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/04a14c0b4a1a/srep04938-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/6d5c7a9941fb/srep04938-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e124/4033925/4931bf498998/srep04938-f4.jpg

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