文章摘要
吴姣,张彬.社会科学期刊的融媒体影响力度量与提升路径——以河北省为例[J].数字图书馆论坛,2024,20(4):65~73
社会科学期刊的融媒体影响力度量与提升路径——以河北省为例
Measurement and Improvement Path of Integrated Media Influence of Social Science Academic Journals: Taking Hebei Province as an Example
投稿时间:2024-02-01  
DOI:10.3772/j.issn.1673-2286.2024.04.008
中文关键词: 媒体融合;学术期刊;社会科学;影响力指数
英文关键词: Media Convergence; Academic Journal; Social Science; Influence Index
基金项目:本研究得到河北省社会科学发展研究课题“媒体融合视域下河北省社科学术期刊影响力提升研究”(编号:20220202057)、河北省社会科学基金项目“新媒体融合时代高校文科学报数据资源整合与影响力提升研究”(编号:HB22TQ004)资助。
作者单位
吴姣 河北大学期刊社 
张彬 河北大学网络空间安全与计算机学院 
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中文摘要:
      融媒体时代社会科学期刊面临着更加复杂和严峻的新挑战,不断扩大传播渠道、精准命中有效受众、增加受众黏性,从而全面提高社会科学期刊的融媒体影响力对于新时期的期刊发展具有重要价值。根据社会科学期刊的媒体传播特点及发展现状,建立社会科学期刊的融媒体影响力指标体系,以第三方平台影响力指数、期刊站点更新度指数、社交平台影响力指数为一级指标,下设多个指标参数,并以河北省社会科学期刊为例进行实证分析。社会科学期刊应充分发挥融媒体场景下的跨平台合力优势,保证纸刊、第三方平台、期刊站点和社交媒体的有机联动,实现产品与业态的全面升级,借助大数据、人工智能、云计算等新兴技术实现对期刊本地知识资源的重构,优化用户体验和个性化服务。
英文摘要:
      In the era of media convergence, social science academic journals are facing more complex and severe new challenges. Continuously expanding communication channels, accurately targeting effectiv e audiences, increasing audience stickiness, and comprehensively improving the integrated media influence of social science academic journals are of great value for the development of journals in the new era. According to the characteristics and development status of media communication of social science journals, this paper establishes the index system of integrated media influence of social science journals, and takes the influence index of third-party platforms, the update index of journal sites, and the influence index of social platforms as the first level indices, with multiple index parameters under it. Taking Hebei social science journals as examples, this paper makes an empirical analysis. Social science journals should give full play to the advantages of cross platform collaboration in the context of media cnvergence, ensure the organic linkage of paper media, third-party platforms, journal sites, and social media, and realize comprehensive upgrading of products and business formats. With the help of big data, artificial intelligence, cloud computing, and other emerging technologies, the locl knowledge resources of journals can be reconstructed to optimize user experience and personalized service.
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