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多元分裂社会中的线上两极分化与交叉融合:以西班牙为例。

Online polarization and cross-fertilization in multi-cleavage societies: the case of Spain.

作者信息

Casañ Rubén Rodríguez, García-Vidal Enrique, Grimaldi Didier, Carrasco-Farré Carlos, Vaquer-Estalrich Francisco, Vila-Francés Joan

机构信息

Internet Interdisciplinary Institute, Universitat Oberta de Catalunya, 08018 Barcelona, Catalonia Spain.

IDAL, Intelligent Data Analysis Laboratory, Electronic Engineering Department, ETSE, University of Valencia, 46100 Valencia, Spain.

出版信息

Soc Netw Anal Min. 2022;12(1):79. doi: 10.1007/s13278-022-00909-5. Epub 2022 Jul 13.

DOI:10.1007/s13278-022-00909-5
PMID:35855845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9281267/
Abstract

The impact of the social media (SM) has been seen on the one hand as the cause of large exacerbation of negative messages, responsible for massively harmful societal phenomenon against democracies. On the other hand, recent studies have begun to look at how these online channels were able to provide a new impulse in human communication. The novelty of our work resides on analysing several axes of polarizations related to different societal topics. We believe our approach to reflect a more complex society, differing from the recent literature, which has considered a unique left-right dichotomic cleavage. Our methodology consists of extracting topics from the priority themes of the SM debate, using BERT language processing techniques and TF-IDF model. Our results show situation of social media interactions in a multidimensional space does exist. We highlight how social media behaviours, polarization and cross-fertilization differ as upon concrete topics. We argue therefore the 'mega-identity partisanship' which differentiate US online users in two different spaces cannot be extended for the rest of countries taking as first evidence the case of Spain. Further research should extend our conclusions for a possible generalization.

摘要

一方面,社交媒体的影响被视为负面信息大量加剧的原因,是造成对民主的大规模有害社会现象的罪魁祸首。另一方面,最近的研究开始关注这些在线渠道如何能够在人际交流中提供新的推动力。我们工作的新颖之处在于分析与不同社会话题相关的几个两极分化轴。我们认为我们的方法反映了一个更复杂的社会,这与最近的文献不同,后者考虑的是一种独特的左右二分法分裂。我们的方法包括使用BERT语言处理技术和TF-IDF模型从社交媒体辩论的优先主题中提取主题。我们的结果表明,社交媒体互动在多维空间中的情况确实存在。我们强调了社交媒体行为、两极分化和交叉融合如何因具体主题而异。因此,我们认为,以西班牙的情况作为首要证据,将美国在线用户区分为两个不同空间的“超级身份党派性”不能推广到其他国家。进一步的研究应该扩展我们的结论,以便可能进行推广。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7786/9281267/fc5059ddb4d4/13278_2022_909_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7786/9281267/da2210be7cd1/13278_2022_909_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7786/9281267/7d8d02fd7596/13278_2022_909_Fig6_HTML.jpg
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本文引用的文献

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