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101 - 110 of 127 results for: COMM

COMM 317: The Philosophy of Social Science

Approaches to social science research and their theoretical presuppositions. Readings from the philosophy of the social sciences. Research design, the role of experiments, and quantitative and qualitative research. Cases from communication and related social sciences. Prerequisite: consent of instructor.
Terms: Spr | Units: 1-5 | Grading: Letter (ABCD/NP)
Instructors: Fishkin, J. (PI)

COMM 318: Quantitative Social Science Research Methods

An introduction to a broad range of social science research methods that are widely used in PhD work. Prerequisite: consent of instructor.
Terms: Spr | Units: 1-5 | Grading: Letter or Credit/No Credit
Instructors: Krosnick, J. (PI)

COMM 322: Advanced Studies in Behavior and Social Media

This course will focus on advanced research on social media with an emphasis on interpersonal dynamics. The course will emphasize key theories from psychology and communication that bear on behavior and social media. Students will develop a research project in the course that draws on one of the primary methods from the social media space.
Terms: Win | Units: 1-5 | Grading: Letter or Credit/No Credit
Instructors: Hancock, J. (PI)

COMM 324: Language and Technology

In this course we develop a model of how language reflects social and psychological dynamics in social media and other technologically-mediated contexts. The course lays out the main stages of analyzing language to understand social dynamics, including using theory to identify key discourse features, feature extraction, and classification and prediction. The course will draw on action-oriented language approaches to understand how people use language (e.g., grounding and joint action models), and then build on this approach to understand how discourse features from natural language can be used to answer questions from a wide range of social science questions, and ultimately, to the design of new technologies. Instructor consent required to enroll.
Terms: Aut | Units: 3-5 | Grading: Letter (ABCD/NP)
Instructors: Hancock, J. (PI)

COMM 326: Advanced Topics in Human Virtual Representation

Topics include the theoretical construct of person identity, the evolution of that construct given the advent of virtual environments, and methodological approaches to understanding virtual human representation. Prerequisite: PhD student or consent of instructor.
Terms: Aut | Units: 1-5 | Repeatable for credit | Grading: Letter or Credit/No Credit

COMM 335: Deliberative Democracy and its Critics (AMSTUD 135, COMM 135, COMM 235, POLISCI 234P, POLISCI 334P)

This course examines the theory and practice of deliberative democracy and engages both in a dialogue with critics. Can a democracy which emphasizes people thinking and talking together on the basis of good information be made practical in the modern age? What kinds of distortions arise when people try to discuss politics or policy together? The course draws on ideas of deliberation from Madison and Mill to Rawls and Habermas as well as criticisms from the jury literature, from the psychology of group processes and from the most recent normative and empirical literature on deliberative forums. Deliberative Polling, its applications, defenders and critics, both normative and empirical, will provide a key case for discussion.
Terms: Win | Units: 3-5 | Grading: Letter or Credit/No Credit

COMM 339: Questionnaire Design for Surveys and Laboratory Experiments: Social and Cognitive Perspectives (POLISCI 421K, PSYCH 231)

The social and psychological processes involved in asking and answering questions via questionnaires for the social sciences; optimizing questionnaire design; open versus closed questions; rating versus ranking; rating scale length and point labeling; acquiescence response bias; don't-know response options; response choice order effects; question order effects; social desirability response bias; attitude and behavior recall; and introspective accounts of the causes of thoughts and actions.
Terms: Aut | Units: 4 | Grading: Letter (ABCD/NP)
Instructors: Krosnick, J. (PI)

COMM 345: Personality Expression in Digitally Mediated Contexts

Digital devices (e.g., computers, smartphones, wearables) and platforms (e.g., social media sites, forums, virtual worlds) mediate much of our daily life. Each time we use digital media for communication, information seeking, or entertainment, we leave behind psychologically revealing digital footprints. In this course, we will explore how digital footprints can be used to understand individual differences in thinking, feeling, and behaving. Class activities and assignments will require students to apply the concepts to their own research projects. Course enrollment limited to PhD-level students.
Terms: Spr | Units: 1-5 | Grading: Letter or Credit/No Credit
Instructors: Harari, G. (PI)

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.
Terms: not given this year, last offered Winter 2017 | Units: 1-5 | Grading: Letter or Credit/No Credit

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.
Terms: not given this year | Units: 1-5 | Grading: Letter or Credit/No Credit
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