School of Humanities and Social Science Division of Social Science 229 Repressing the Emotion: Censorship of Popular Culture under Authoritarianism Supervisor: HONG Jean (Ji Yeon) / SOSC Student: FANG Zihang / GCS Course: UROP2100, Summer The Undergraduate Research Opportunity Program 2100D report aims to decipher the text data based upon the summary of films’ abstract from the China Film Administration by means of the R’s package, Quanteda to build pertinent text analysis. The report will concentrate on two parts: one is the approach to text data coding; the other one concerning the frequency and textual analysis of the results by both virtualization and tabulation. The study may contribute a humble part to the subtle comprehension of the CCP’s censorship commitment to the popular culture products, especially to the film industry which is constantly imposed upon strict disciplines by film production regulations for indoctrination, promulgation of socialist positive mainstream and constrict products implicitly or explicitly conveying ideas disapproved of by the authority and socialistic code. Changing Alliances in Trump’s White House: Networks and Elite Politics Supervisor: KELLER Franziska / SOSC Student: CHENG Yu / GCS Course: UROP2100, Fall This UROP project is part of the “Changing Alliances in Trump’s White House: Networks and Elite Politics” research project conducted under the guidance of Professor Franziska Keller of SHSS. The goal of this Series 2 UROP project is targeting the U.S. Senate Intelligence Committee's Russian Active Measures Campaigns And Interference The 2016 U.S. Election Report’s Volume 5: Counterintelligence threats and vulnerabilities. An analysis of the behaviours, relationships and social networks among the people and institutions that were identified in this investigation was conducted under the project. To exemplify this effort, this report selects 1105 relationships that were identified from the Senate Report, analyses these relationships quantitatively, and confirms these results by qualitatively sorting out the formation mechanism of these relationships especially those of statistics focus. Changing Alliances in Trump’s White House: Networks and Elite Politics Supervisor: KELLER Franziska / SOSC Student: NI Yushang / GCS Course: UROP1100, Spring The report addresses political actors, political opinions, and communications as analytical elements. It then describes that during the process, the student utilizes social network analysis theory and finds out that natural language processing and graph illustration are two most adoptable strategies for investigating, predicting, and identifying politic-related affairs. The report also displays how the student creates directive graphs based on text and translate connections to concrete numbers. The visualization helps to predict stances, divergence, and cooperation in future political circle. Furthermore, it shows that the program is important to students due to its close linkage with the undergoing political and social events as well as the language analysis techniques which can be extensively used in future broaden research fields.
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