政治
递归(计算机科学)
遗传(遗传算法)
社会化媒体
跟踪(心理语言学)
法律与经济学
政治经济学
政治学
广告
法学
社会学
计算机科学
语言学
业务
生物化学
化学
哲学
算法
基因
作者
Andrea Carson,Andrew Gibbons,Justin Bonest Phillips
出处
期刊:Journal of Language and Politics
[John Benjamins Publishing Company]
日期:2021-07-16
卷期号:20 (5): 696-718
被引量:9
标识
DOI:10.1075/jlp.21030.car
摘要
Abstract Since the 2016 US federal election, political actors have weaponized online fake news as a means of gaining electoral advantage ( Egelhofer and Lecheler 2019 ). To advance understandings of the actors and methods involved in perpetuating fake news, this article focuses on an Australian story that circulated on and offline through different discourses during the 2019 federal election. We use content analyses of 100,000 media articles and eight million Facebook posts to trace false claims that the centre-left Labor party would introduce an inheritance tax dubbed a ‘death tax’ if it won office. To understand this evolution of ‘death tax’ discourse on and offline – and its weaponization by various actors – we draw from existing theorems of agenda setting, backfire effects, and propose our own recursion theory.
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