从网络跟踪数据预测政治态度:一种机器学习方法

IF 2.6 2区 社会学 Q1 COMMUNICATION
Nora Kirkizh, Roberto Ulloa, Sebastian Stier, Jürgen Pfeffer
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引用次数: 0

摘要

轶事证据表明,民粹主义的兴起和随之而来的政治两极分化可能会使选民的政治偏好更容易从数字跟踪数据中被发现。这种潜在的情况...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting political attitudes from web tracking data: a machine learning approach
Anecdotal evidence suggests that the surge of populism and subsequent political polarization might make voters’ political preferences more detectable from digital trace data. This potential scenari...
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来源期刊
CiteScore
6.60
自引率
7.70%
发文量
31
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