预测出版商网站流量的社交媒体指标

Ioannis Angelou, Vasileios Katsaras, D. Kourkouridis, A. Veglis
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引用次数: 0

摘要

传统媒体与社交媒体之间的关系已成为新媒体讨论中的一个重要话题。2018 年,Facebook 宣布减少用户时间线中的新闻帖子后,这一讨论愈演愈烈。在 "同类经济 "时代,社交媒体蕴含着巨大的经济价值,促使媒体采取 "试一试 "的方式来接触新受众,增加网络广告份额。本研究通过对 50 家出版商的网站、Facebook 页面和 Twitter 账户进行大规模调查,加深了我们对作为受众反馈指标的传统媒体与社交媒体之间关系的理解。通过网络把关和互惠新闻理论的视角,本研究有助于开发基于社交媒体指标预测出版商网站流量的新评估工具。结果表明,Facebook 和 Twitter 指标可以预测出版商网站流量指标,预测率超过 60%。这项研究强调了社交媒体指标在评估媒体实践中的重要性,以及将研究转向特定指标以了解传统媒体与社交媒体之间关系的必要性。
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Social Media Metrics as Predictors of Publishers’ Website Traffic
The relationship between legacy media and social media has become a crucial topic in the discussions about new media. The debate intensified after Facebook announced a reduction in news posts in user timelines in 2018. In the era of the “Like economy”, social media holds significant economic value, prompting media outlets to adopt a “let’s try and see” approach to reach new audiences and increase their online advertising share. The present study, based on a large-scale survey of 50 publishers’ websites, Facebook pages, and Twitter accounts, deepens our understanding of the relationship between legacy and social media as indicators of audience feedback. Through the lens of network gatekeeping and reciprocal journalism theories, it contributes to the development of new evaluation tools that predict publishers’ website traffic based on social media metrics. Results show that Facebook and Twitter metrics can predict publishers’ website traffic indicators at a rate exceeding 60%. This study underscores the importance of social media metrics in evaluating media practices and the need to shift research toward specific indicators to understand the relationship between legacy and social media.
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