Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary.
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary.
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DOI：
10.1145/3442381.3449819
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发表时间：
2021-04
期刊：
影响因子：
--
通讯作者：
Schwartz HA
中科院分区：
文献类型：
--
作者：
Zamani M;Schwartz HA
词汇现象，如词簇，通过社交网络以不同的速度传播，但大多数扩散模型都集中在新词汇现象（即新主题或模因）的离散采用上。词汇的扩散很可能是通过现有的词类或概念（那些已经被使用的，至少在某种程度上，经常）的变化率而不是新的变化率发生的。在这项研究中，我们引入了一个新的指标，对比词汇扩散（CLD）系数，它试图衡量普通语言（这里的常用词集群）赶上超过友谊连接随着时间的推移的程度。例如，与会议和工作有关的话题被发现具有粘性，而消极的想法和情绪以及全球性事件，如“学校定位”，即使它们随着时间的推移而改变，粘性也较小。我们通过定量和定性测试评估CLD系数，在Twitter上研究了6年的语言。我们发现，CLD预测的传播推文和友谊连接，分数收敛与人类判断的词汇扩散（r=0.92），CLD系数复制不相交的网络（r=0.85）。比较CLD分数可以帮助理解词汇扩散：积极情绪词汇比消极情绪更容易扩散，第一人称复数（我们）得分高于其他代词，数字和时间似乎不具有传染性。
Lexical phenomena, such as clusters of words, disseminate through social networks at different rates but most models of diffusion focus on the discrete adoption of new lexical phenomena (i.e. new topics or memes). It is possible much of lexical diffusion happens via the changing rates of existing word categories or concepts (those that are already being used, at least to some extent, regularly) rather than new ones. In this study we introduce a new metric, contrastive lexical diffusion (CLD) coefficient, which attempts to measure the degree to which ordinary language (here clusters of common words) catch on over friendship connections over time. For instance topics related to meeting and job are found to be sticky, while negative thinking and emotion, and global events, like ‘school orientation’ were found to be less sticky even though they change rates over time. We evaluate CLD coefficient over both quantitative and qualitative tests, studied over 6 years of language on Twitter. We find CLD predicts the spread of tweets and friendship connections, scores converge with human judgments of lexical diffusion (r=0.92), and CLD coefficients replicate across disjoint networks (r=0.85). Comparing CLD scores can help understand lexical diffusion: positive emotion words appear more diffusive than negative emotions, first-person plurals (we) score higher than other pronouns, and numbers and time appear non-contagious.
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