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111 - 120 of 127 results for: COMM

COMM 350: New Media and Journalism (SOC 326)

New media technologies are transforming how people create and consume information. In this course, we study journalism as an organized field of practice to examine what digital technologies change -- and what they don't change -- about production, diffusion, and reception of news around the globe. The course will cover topics such as changing professional boundaries in a networked environment; the decentralization of news production with social media platforms; the changes in editorial judgement related to automation; the construction of algorithmic audiences; and the promises and challenges associated with data journalism. Moving beyond simplistic analyses of the internet as a universal explanation for all changes in journalism, this course explores how new technologies interact with existing practices, representations, and institutions.
Last offered: Winter 2017

COMM 354: Data Worlds: From Quantification to Computing Cultures

This course provides a critical examination of how technologies of quantification affect communication processes in different institutional contexts. Drawing on classical social theory, history, media theory, and science and technology issues, the class explores how processes of quantification - offline and online - interact with institutions, meanings, and practices. Examples are drawn from a broad range of fields, including the history of statistics, the construction of development indicators, and the algorithmic productions of emotions. By analyzing how older forms of quantification relate to more recent development in computing techniques and cultures, the course provides a framework for understanding the role of quantification in increasingly mediated environments.

COMM 357: Information Control in Authoritarian Regimes (COMM 157, COMM 257)

Does information help autocrats and dictators stay in power? Or does information help topple authoritarian regimes? This course will examine how authoritarian regimes try to control information through surveillance, propaganda, and censorship, what influences the effectiveness of these information control measures, and how changes in technology (Internet, social media, mobile) affect the dynamics of information control.
Last offered: Autumn 2016

COMM 360G: Political Communication (POLISCI 425)

An overview of research in political communication with particular reference to work on the impact of the mass media on public opinion and voting behavior. Limited to Ph.D. students. Prerequisite: 260 or consent of instructor.
Last offered: Winter 2017

COMM 361: Law of Democracy (POLISCI 327C)

Combined with LAW 7036 (formerly Law 577). This course is intended to give students a basic understanding of the themes in the legal regulation of elections and politics. We will cover all the major Supreme Court cases on topics of voting rights, reapportionment/redistricting, ballot access, regulation of political parties, campaign finance, and the 2000 presidential election controversy. The course pays particular attention to competing political philosophies and empirical assumptions that underlie the Court's reasoning while still focusing on the cases as litigation tools used to serve political ends. Elements used in grading: Class participation and one day take home final exam. ( POLISCI 327C; LAW 577)
Last offered: Winter 2017

COMM 362: Topics in Political Communication: Media Bias, Selective Exposure, and Political Polarization (POLISCI 425S)

This course surveys theories of media bias, biased processing of information, and the empirical challenges facing researchers attempting to link changes in the composition of audiences to attitudinal and behavioral outcomes. (Limited to PhD students)
Last offered: Spring 2015

COMM 372G: Seminar in Psychological Processing

Limited to Ph.D. students. Advanced topics. Prerequisite: 272 or consent of instructor.
Last offered: Spring 2017 | Repeatable for credit

COMM 378: Media and Time

As media technologies change, they radically restructure our experience of time. This course will bring together readings from media psychology and media history in order to understand this process. Students will explore issues such as the acceleration of everyday life, new modes of screen use, and the transformation of cultural categories such as ¿narrative¿ and ¿the event¿. Ultimately the course aims to help prepare students to consider time in scholarship about media.
Terms: Win | Units: 1-5

COMM 380: Curriculum Practical Training

Practical experience in the communication industries. Prerequisite: consent of instructor. Meets requirements for Curricular Practical Training for students on F-1 visas. (Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit

COMM 382: Research in Computational Social Science

Massive datasets are increasingly available for research as digital technologies pervade our lives. These data represent new opportunities for social science research, but prominent examples of data science research bear little resemblance to the research designs of social scientific inquiry. In this course, we use machine learning and statistical tools on large-scale datasets to answer social science questions of cause and effect. Familiarity with Python recommended. Enrollment limited to PhD students in COMM or Social Science who have completed or are currently taking graduate quantitative methods sequences in Economics, Political Science, Sociology, or Statistics. Contact blazzari@stanford.edu for a permission number to enroll (please include a current CV).
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