By Eric C. Vorst
The 2016 American Political Science Association annual meeting in Philadelphia was a great place to highlight new research, to learn from our peers, and to make new professional connections. It also provided an exciting opportunity to gain new insight into how networks of discussion evolve in real time over the duration of a major academic conference. Data mining software, content analysis, and social network visualization tools were used to observe how communities of discussion evolved as the conference unfolded, to identify the emergence of key themes, and to map the extent to which these themes reached different communities within the network. Ultimately, this project helps to provide a unique insight into what political scientists talk about during a political science convention.
By William J. Kelleher
Several recent news articles, including one from The New York Times and The Atlantic, offer up an explanation for why 53% of white women voters voted for Donald Trump, despite the disrespect he has shown for women, particularly white women. For example, The New York Times article presents political scientist Kathleen Dolan’s explanation of this political behavior. That explanation can be stated in the form of this syllogism:
Empirical studies show that
- A) voters generally tend to vote according to their party identification, and that
- B) a majority of white women identify with the Republican Party;
- C) therefore, a majority of white women voted for Trump rather than Clinton.
This “explanation” has the virtue of being relatively straight forward insofar as it consists of explicit inferences drawn from accepted facts. But I’m not satisfied with the explanation given. The implication that party ID caused the voting results seems overly mechanistic, shallow, and insufficient. I still want to know why so many white women voters voted for Donald Trump.