Inside the message machine that could make politicians more persuasive
NPR - 10/06/2015
Using text from a pro-Obamacare website and testing different combinations of sentences on volunteers, an algorithm created by Northeastern University assistant professor Nick Beauchamp was able to identify optimally persuasive terms that make people more inclined to support the landmark health care law.
Sentences including words like “pre-existing,” “condition,” “coverage” tended to leave study volunteers feeling more positive about the law.
“States,” “federal” and “government” were among the topics that turned people off Obamacare.