算法趋势推广的影响:来自Twitter趋势主题协调活动的证据

Joseph Schlessinger, Kiran Garimella, Maurice Jakesch, Dean Eckles
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引用次数: 0

摘要

除了更个性化的内容提要,一些领先的社交媒体平台还对更受欢迎的内容给予了突出的作用。在Twitter上,“热门话题”确定了平台上的热门话题,从而推广了用户可能没有通过他们的网络看到的热门内容。因此,“热门话题”可能在影响用户在某一天参与的话题方面发挥重要作用。使用来自印度和土耳其的两个精心构建的数据集,我们研究了出现在热门话题页面上的标签对使用该标签产生的tweet数量的影响。我们的目标是回答这个问题:有多少使用该标签的新推文因为标签被标记为趋势而出现?我们将热门话题页面的影响与网络曝光区分开来,发现在统计上显著但适度地回归到热门话题上的标签。对受热门话题影响的用户类型的分析表明,该功能可以帮助不太受欢迎的新用户发现和传播他们的网络之外的内容,否则他们可能无法做到这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter’s Trending Topics
In addition to more personalized content feeds, some leading social media platforms give a prominent role to content that is more widely popular. On Twitter, "trending topics" identify popular topics of conversation on the platform, thereby promoting popular content which users might not have otherwise seen through their network. Hence, "trending topics" potentially play important roles in influencing the topics users engage with on a particular day. Using two carefully constructed data sets from India and Turkey, we study the effects of a hashtag appearing on the trending topics page on the number of tweets produced with that hashtag. We specifically aim to answer the question: How many new tweeting using that hashtag appear because a hashtag is labeled as trending? We distinguish the effects of the trending topics page from network exposure and find there is a statistically significant, but modest, return to a hashtag being featured on trending topics. Analysis of the types of users impacted by trending topics shows that the feature helps less popular and new users to discover and spread content outside their network, which they otherwise might not have been able to do.
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