Twitter trump other predictions9/10/2023 At the same time, several polls, including ABC/ Washington Post and CBS/ New York Times, suggested that some Bernie Sanders supporters might “jump ship” from the Democratic column, and end up voting for Trump if Sanders dropped out.Moreover, though “un-followers” were more likely to be female for both candidates, the phenomenon was “particularly pronounced” for Clinton. The percentage of female Twitter followers in the Clinton camp was no larger than that in the Trump camp. Moreover, a “gender affinity effect” seen in other elections–women tending to vote for women–did not appear to be working for Clinton as the primaries drew to a close.But it did not affect the gender composition of Trump followers. When Trump accused Hillary Clinton of playing the “woman card,” women were more likely to follow Clinton and less likely to “un-follow” her during the week that followed.The more Donald Trump tweeted, the faster his following grew–even after he performed poorly in debates against other Republican candidates, and even after he sparked controversies, such as proposing a ban on Muslim immigration.Luo and Wang, a dual PhD candidate in political and computer science, summarized their findings in eight papers during the course of the campaign, including these observations: “We wanted to understand how each of the candidate’s campaigns evolved, and be able to explain why someone won or lost,” says Luo, an associate professor of computer science. Unlocking big data A Newscenter series on how Rochester is using data science to change how we research, how we learn, and how we understand our world.
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