Computational Propaganda on Social Media: The Challenges and Opportunities for Democracy

社交媒體上的運算宣傳：對民主的挑戰與機會

Philip N. Howard ； 鄭宇君(Yu-Chung Cheng)

《資訊社會研究》 39期 (2020/07) Pp. 17-27

https://doi.org/10.29843/JCCIS.202007_(39).0002

摘要

Professor Howard discusses how computational propaganda on social media platforms impacts democracy. He also pointed out the challenges and opportunities in this research field. He suggests that young scholars can enter the field by collaborating with data scientists and to conduct research on one social platform in the beginning. With respect to the accountability of social media platforms, he suggests that they should publicly release all types of advertising posts to the Ad library, so that the public and citizen groups can analyze through data transparency in order to supervise and hold governments, political parties, and social media platforms accountable.

參考文獻

Bradshaw, S., Howard, P. N., Neudert, Kollanyi, B. & Neudert, L.-.M. (2020). Sourcing and automation of political News and information over social media in the United States, 2016-2018, Political Communication, 37 (2) 173-193, DOI: 10.1080/10584609.2019.1663322

Bolsover, G. & Howard, P. N. (2019) Chinese computational propaganda: Automation, algorithms and the manipulation of information about Chinese politics on Twitter and Weibo. Information, Communication & Society, 22:14, 2063-2080, DOI:10.1080/1369118X.2018.1476576

Howard, P.N. (2020). Lie machines how to save democracy from troll armies, deceitful robots, junk news operations, and political operatives. New Haven & London: Yale University Press

Woolley, S. C. & Howard, P. N. (2019). Computational propaganda: Political Parties, politicians, and political manipulation on social media. Oxford University Press.

Bradshaw, S. & Howard, P. N. (2019.10) The Global Disinformation Order: 2019 Global Inventory of Organised Social Media Manipulation. Oxford Internet Institute Report. https://comprop.oii.ox.ac.uk/research/cybertroops2019/