融媒体环境下的受众计算:途径与挑战
Computational Audience Analysis in Media Integration: Research Directions and Challenges
投稿时间: 2021/2/20 0:00:00
DOI:
中文关键词: 融媒体;平台经济;受众分析;传播效果;计算传播
英文关键词: media integration; platform economy; audience analysis; media effect; computational communication
基金项目: 国家社科基金重大项目“大数据时代计算传播学的理论、方法与应用研究”(19ZDA324)
姓名 单位
刘肖凡 香港城市大学媒体与传播系互联网挖掘实验室
吴晔 北京师范大学计算传播学研究中心、新闻传播学院
许小可 大连民族大学信息与通信工程学院
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中文摘要:

融媒体改革是传统媒体应对传媒经济平台化和传媒平台智能化浪潮的一项重要措施。传统机构在融媒体环境中利用数据驱动的计算传播学方法“重新”认识受众、量化传播效果,既是时代的必然,又是时代的需要。本文论述融媒体环境中受众计算的“为什么”和“怎么做”问题,将受众分析分解为三个纵向数据维度(文本、网络和时空数据)和两个横向方法维度(统计分析和机器学习)。最后,我们着重讨论融媒体受众计算所面临的困难和挑战,并提出可能的解决方案。

英文摘要:

The media integration reform is an essential measure for traditional media to respond to the media's economic platformization and media platform intelligentization. "Re-understanding" the audience and "re-quantifying" communication effects in the new media environment using data-driven computational communication methods are the necessity of the times and the needs of the times. This article discusses the "why" and "how" issues of audience calculation in the media integration reform and decomposes audience analysis into three vertical data dimensions (text, network, and spatiotemporal data) and two horizontal method dimensions (statistical analysis and machine learning). Finally, we focus on discussing the difficulties and challenges in computational audience analysis and propose possible solutions.

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