Measuring Competition for Attention in Social Media: NWSL Players on Twitter

Federico M. Rossi, Gaia Rubera
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引用次数: 7

Abstract

Despite the increasing use of social media among personalities such as politicians, athletes, and entertainment celebrities, little is known about the intensity of competition that these popular users engage in to draw the attention of other users, and how their competition affects the users' engagement with social networks. In this research we propose a model where social media users supply content in return for user attention. Using Twitter data on soccer players from the National Women's Soccer League (NWSL), we estimate a demand model where users decide how to allocate their attention among players, based on their content posted on social media and their performance on the soccer field. We consider the amount of tweets mentioning a player's account as a measure for the level of attention captured by the player. On the supply side, players decide the amount of social media content posted on the platform. We show that the attention substitution between players depends on their posting activity and soccer performance, but also on personal characteristics, such as physical attractiveness and team affiliation. Our analysis suggests that the competitive pressure to capture user attention is responsible for about one out of three tweets posted by players. This additional content benefits the social network, increasing by 7% the users' activity on the platform. We also quantify the effect on user activity of a revenue-sharing model in which the platform rewards players for posting tweets.
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衡量社交媒体上的注意力竞争:NWSL球员在Twitter上的表现
尽管政治家、运动员和娱乐名人等名人越来越多地使用社交媒体,但人们对这些受欢迎的用户为吸引其他用户的注意力而参与的竞争强度以及他们的竞争如何影响用户对社交网络的参与知之甚少。在这项研究中,我们提出了一个社交媒体用户提供内容以换取用户关注的模型。使用来自全国女子足球联盟(NWSL)的足球运动员的Twitter数据,我们估计了一个需求模型,用户根据球员在社交媒体上发布的内容和他们在足球场上的表现来决定如何在球员之间分配注意力。我们将提及玩家账户的tweet数量视为衡量玩家获得关注程度的指标。在供应方面,玩家决定平台上发布的社交媒体内容的数量。我们发现球员之间的注意力替代取决于他们的发帖活动和足球表现,但也取决于个人特征,如身体吸引力和团队关系。我们的分析表明,玩家发布的推文中有三分之一是迫于竞争压力而引起的。这些额外的内容使社交网络受益,增加了7%的用户在平台上的活跃度。我们还量化了收益分享模式对用户活动的影响,即平台奖励发布tweet的玩家。
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