[1] Natural language processing methods are used for text-based data, such as text from social media posts and political debate transcripts.
Computational models are often used to examine cognitive behavior associated with political contexts, including the connection between the brain and polarization or ideological thinking.
The campaign developed a "likelihood of turnout" index to focus turning out voters who were already likely to prefer Obama.
[3][8] Tufecki states that political campaigns can present different advertisements based on which messages the potential voter is likely to be sympathetic to, allowing politicians to base their platform off of small issues that will efficiently mobilize niche groups of voters, while less focus may be spent on larger, more broadly important issues.
[3] Kwame Akosah, a voting rights advocate, writes that algorithms can be used to discriminate against protected classes.
[8] Additionally, he states that the knowledge of individuals being tracked by data brokers can create a chilling effect in political discourse.
[9] Such use of social media is associated with Information warfare and has raised questions on the ethics and regulation of data ownership, fair algorithms, and the use of jury based methods for the content moderation.