Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) next week on Wednesday (4/3).
The speaker is* Kosuke Imai *(Harvard) who will be presenting his work,
"Automated Coding of Political Campaign Advertisement Videos: An Empirical
Validation Study".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 3rd at 12 noon - 1:30 pm.
*Abstract: *
Television advertisements play an essential role in modern political
campaigns with several billion dollars spent in the 2018 general election.
For more than two decades, political scientists have studied TV ads by
analyzing the hand-coded data from the Wisconsin Advertising Project (WAP)
and its successor, the Wesleyan Media Project (WMP). Unfortunately,
manually coding hundreds of variables, such as issue mentions, opponent
appearance, and negativity, for many videos is a laborious and expensive
process. We propose to automatically code political campaign advertisement
videos. Applying state-of-the-art machine learning methods, we
automatically extract various audio and image features from each video
file. We show that our machine coding is at least as accurate as human
coding for many variables of the WAP/WMP data sets. Since many candidates
make their advertisement videos available on the Internet, automated coding
can dramatically improve the efficiency and scope of campaign advertisement
research. Joint work with June Hwang and Alex Tarr.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-CU8HWrQPpe9pjTw/viewform?usp=sf_link>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
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