61 - 70 of 125 results for: COMM

Uses economics to examine the generation and consumption of information in communication markets. Covers concepts that play a large role in information economics, including public goods, economies of scale, product differentiation, and externalities. Looks at individuals' information demands as consumers, producers, audience members, and voters. Topics include economics of Internet, sustainability of accountability journalism, and marketplace of ideas.

Focuses on the development, implementation, and evaluation of policies affecting communication markets. Policy issues include universal service, digital divide, Internet regulation, intellectual property, privacy, television violence, content diversity, media ownership, antitrust, and impact of news on government accountability. Examines political economy of communication policy and the evolution of policies across time.

Personality describes people's characteristic patterns of thinking, feeling, and behaving. This course will introduce students to the ways personality is expressed in digital devices (e.g., computers, smartphones) and platforms (e.g., social networks, virtual worlds). Readings and lectures will introduce students to theories of personality, the practice of assessing personality, and the broader societal implications of having mediated personalities. Course assignments will require students to apply the course concepts to explore personality expression in various digitally mediated contexts.

The First Amendment: Freedom of Speech and Press (7084): Introduction to the constitutional protections for freedom of speech, press, and expressive association. All the major Supreme Court cases dealing with issues such as incitement, libel, hate speech, obscenity, commercial speech, and campaign finance. There are no prerequisites, but a basic understanding of American government would be useful. This course is crosslisted in the university and undergraduates are eligible to take it. Elements used in grading: Law students will be evaluated based on class participation and a final exam. Non-law students will be evaluated on class participation, a midterm and final exam, and nonlaw students will participate in a moot court on a hypothetical case. Non-law students will also have an additional one hour discussion section each week led by a teaching assistant. Cross-listed with Communication ( COMM 151, COMM 251) and Political Science ( POLISCI 125P). nnnClass time will be 11:10-12:40 on Mondays and Wednesdays.

This course covers Supreme Court case law concerning governmental powers, equal protection, and certain fundamental rights. The course investigates the constitutional foundation for democratic participation in the United States, covering topics such as the Fourteenth Amendment's protections against discrimination on grounds of race, gender, and other classifications, as well as the individual rights to voting and intimate association, and an introduction to First Amendment rights of free speech and press. Students will be evaluated on class participation, a midterm moot court with both a written and oral component, and a take-home final exam. Lectures will be twice per week and a discussion section once per week.

This course will acquaint students with the changing environment for campaigns posed by the rise of the Internet. So much of the traditional way analysts have understood campaigns has revolved around television as the primary mode of campaign communication. The rise of the Internet, nonlinear television programming, and mobile communication enables new forms of campaigning. This course will examine the relevant social science on these topics, while at the same time bringing in guest lecturers from industry, campaigns, and media. Requirements: Students will be required to complete a 25 page research paper on a topic relevant to the course.

(Same as LAW 7057). The frequency of American elections means that we're never that far away from the next contest. This course is situated shortly after the conclusion of the 2018 midterm elections at the very start of the invisible primary that precedes the 2020 presidential campaign. It will provide students with a behind-the-scenes understanding of how campaigns work. Each week, we will explore a different topic related to high-profile campaigns -- policy formation, communications, grassroots strategy, digital outreach, campaign finance -- and feature prominent guest speakers who have served and will serve in senior roles on both Democratic and Republican campaigns. Our goal is to discern the lessons learned from the 2018 midterm elections, and how they will inform our understanding of what will happen in the 2020 presidential contest

Crosslisted with LAW 7082. This course, which will be cotaught by Monika Bickert from Facebook, will cover contemporary challenges to democracy presented by the Internet. Topics will include disinformation, polarization, hate speech, media transformation, election integrity, and legal regulation of internet platforms in the U.S. and abroad. Guest speakers from academia and industry will present on these topics in each class session, followed by a discussion. Students will be responsible for one-page papers each week on the readings and a research paper to be turned in at the fall paper deadline. Students can take the class for either 2 or 3 units, depending on the research paper length. This class is crosslisted in the university and undergraduates are eligible to take it. Elements used in grading: Attendance, Class Participation, Written Assignments, Final Paper.

Algorithms have become central actors in today's digital world. In areas as diverse as social media, journalism, education, healthcare, and policing, computing technologies increasingly mediate communication processes. This course will provide an introduction to the social and cultural forces shaping the construction, institutionalization, and uses of algorithms. In so doing, we will explore how algorithms relate to political issues of modernization, power, and inequality. Readings will range from social scientific analyses to media coverage of ongoing controversies relating to Big Data. Students will leave the course with a better appreciation of the broader challenges associated with researching, building, and using algorithms.