论文标题
对图像模因的社区起源的网络规模分析
A Web-Scale Analysis of the Community Origins of Image Memes
论文作者
论文摘要
图像模因等最受欢迎的在线文化文物在哪里?媒体叙事表明,文化创新通常起源于外围社区,然后扩散到主流核心。行为科学表明,在周围和核心之间桥接的中间网络位置尤其可能引发许多有影响力的文化创新。研究尚未在这些预测之间进行完全裁定,因为先前的工作集中在Twitter等单个平台上。但是,任何一个平台只是较大的在线文化生态系统中的一个小而不完整的部分。在本文中,我们通过所有指定的在线社区的一个月爬网对网络量表的起源和扩散进行了首次分析,这些爬网主要与英语文本叠加层共享模因图像。我们的结果表明,网络核心的社区起源于最高度扩散的图像模因:网络中心性的前10%的社区源于网络上产生62%的图像模因扩散事件的模因。零充气的负二项式回归证实,即使控制社区规模和活动水平,核心社区的模因也比外围社区的模因更有可能扩散。但是,仅在一个大型社区中测试相同问题的传统方法遵循的复制分析,Reddit发现回归系数逆转 - 强调参与网络规模的跨社区分析的重要性。这项工作的生态系统级别的观点将网络定位为高度集中的文化伪像,例如图像模因。
Where do the most popular online cultural artifacts such as image memes originate? Media narratives suggest that cultural innovations often originate in peripheral communities and then diffuse to the mainstream core; behavioral science suggests that intermediate network positions that bridge between the periphery and the core are especially likely to originate many influential cultural innovations. Research has yet to fully adjudicate between these predictions because prior work focuses on individual platforms such as Twitter; however, any single platform is only a small, incomplete part of the larger online cultural ecosystem. In this paper, we perform the first analysis of the origins and diffusion of image memes at web scale, via a one-month crawl of all indexible online communities that principally share meme images with English text overlays. Our results suggest that communities at the core of the network originate the most highly diffused image memes: the top 10% of communities by network centrality originate the memes that generate 62% of the image meme diffusion events on the web. A zero-inflated negative binomial regression confirms that memes from core communities are more likely to diffuse than those from peripheral communities even when controlling for community size and activity level. However, a replication analysis that follows the traditional approach of testing the same question only within a single large community, Reddit, finds the regression coefficients reversed -- underscoring the importance of engaging in web-scale, cross-community analyses. The ecosystem-level viewpoint of this work positions the web as a highly centralized generator of cultural artifacts such as image memes.