Computational propaganda

Computational propaganda refers to the use of algorithms, automation, and big data to manipulate public opinion across media platforms. Key aspects:

Spreading political mis/disinformation via bots and inauthentic accounts.
Amplifying content through coordinated networks.
Micro-targeting users with customized messaging.
Diffusing conspiracy theories and discrediting journalists.
Wielding search engine optimization for influence.

Threats:

Viral spread of damaging rumors and forged media.
Algorithmic radicalization and polarization.
Undermining evidence, objectivity, and accountability.

Responses involve media literacy, transparency in funding/methods, emphasizing source credibility, independent fact-checking, and regulatory reforms.

While computational propaganda exploits new technical affordances, it poses old challenges to democratic deliberation and shared reality. Oversight and ethical standards remain imperative in managing the technology.