Social networks, the 2016 US presidential election, and Kantian ethics: applying the categorical imperative to Cambridge Analytica's behavioral microtargeting

被引:51
作者
Ward, Ken [1 ]
机构
[1] Lamar Univ, Dept Commun, POB 10050, Beaumont, TX 77710 USA
关键词
Behavioral microtargeting; Cambridge analytica; facebook; media ethics; data use; immanuel kant; political communication; FACEBOOK;
D O I
10.1080/23736992.2018.1477047
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
The 2016 US presidential election witnessed the development of ethically dubious methods of political persuasion built and executed on social networking sites. The following analyzes the ethics of behavioral microtargeting practices such as those of Cambridge Analytica, a company that claims to have played a central role in Donald Trump's successful candidacy through its use of social networking sites such as Facebook. After describing Cambridge Analytica's method of data manipulation and identifying several threats to individual autonomy posed by such practices, this research explores whether Immanuel Kant's categorical imperative could be used by individuals to effectively guard democratic processes.
引用
收藏
页码:133 / 148
页数:16
相关论文
共 48 条
[1]  
Altman I., 1975, ENV SOCIAL BEHAV
[2]  
[Anonymous], 2015, OBFUSCATION USERS GU, DOI DOI 10.7551/MITPRESS/9780262029735.001.0001
[3]  
[Anonymous], 1993, The Panoptic Sort: a Political Economy of Personal Information
[4]  
[Anonymous], 2016, Huffington Post
[5]  
[Anonymous], 2004, The digital person: Technology and privacy in the information age
[6]  
[Anonymous], 2016, WASHINGTON POST
[7]  
Barocas S, 2014, PRIVACY, BIG DATA, AND THE PUBLIC GOOD: FRAMEWORKS FOR ENGAGEMENT, P44
[8]  
Bernal P., 2014, Consent in European Data Protection Law
[9]   Bias in algorithmic filtering and personalization [J].
Bozdag, Engin .
ETHICS AND INFORMATION TECHNOLOGY, 2013, 15 (03) :209-227
[10]  
C-SPAN, 2016, GOOGL POST EL REV