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1 - 10 of 38 results for: COMM ; Currently searching spring courses. You can expand your search to include all quarters

COMM 104W: Reporting, Writing, and Understanding the News

Techniques of news reporting and writing. The value and role of news in democratic societies. Gateway class to journalism. Prerequisite for all COMM 177/277 classes. Limited enrollment. Preference to COMM majors.
Terms: Aut, Win, Spr | Units: 5 | UG Reqs: WAY-CE

COMM 122: Trust and Safety (CS 152, INTLPOL 267)

Trust and Safety is an emerging field of professional and academic effort to build technologies that allow people to positively use the internet while being safe from harm. This course provides an introduction to the ways online services are abused to cause real human harm and the potential social, operational, product, legal and engineering responses. Students will learn about fraud, account takeovers, the use of social media by terrorists, misinformation, child exploitation, harassment, bullying and self-harm. This will include studying both the technical and sociological roots of these harms and the ways various online providers have responded. The class is taught by a practitioner, a professor of communication, a political scientist, and supplemented by guest lecturers from tech companies and nonprofits. Cross-disciplinary teams of students will spend the quarter building a technical and policy solution to a real trust and safety challenge, which will include the application of AI more »
Trust and Safety is an emerging field of professional and academic effort to build technologies that allow people to positively use the internet while being safe from harm. This course provides an introduction to the ways online services are abused to cause real human harm and the potential social, operational, product, legal and engineering responses. Students will learn about fraud, account takeovers, the use of social media by terrorists, misinformation, child exploitation, harassment, bullying and self-harm. This will include studying both the technical and sociological roots of these harms and the ways various online providers have responded. The class is taught by a practitioner, a professor of communication, a political scientist, and supplemented by guest lecturers from tech companies and nonprofits. Cross-disciplinary teams of students will spend the quarter building a technical and policy solution to a real trust and safety challenge, which will include the application of AI technologies to detecting and stopping abuse. For those taking this course for CS credit, the prerequisite is CS106B or equivalent programming experience and this course fulfills the Technology in Society requirement. Content note: This class will cover real-world harmful behavior and expose students to potentially upsetting material.
Terms: Spr | Units: 3

COMM 124: Truth, Trust, and Tech (COMM 224)

(Graduate students enroll in COMM 224. COMM 124 is offered for 5 units, COMM 224 is offered for 4 units.) NOTE: offered only at Stanford in New York winter quarter 2022-23. Deception is one of the most significant and pervasive social phenomena of our age. Lies range from the trivial to the very serious, including deception between friends and family, in the workplace, and in security and intelligence contexts. At the same time, information and communication technologies have pervaded almost all aspects of human communication, from everyday technologies that support interpersonal interactions to, such as email and instant messaging, to more sophisticated systems that support organization-level interactions. Given the prevalence of both deception and communication technology in our personal and professional lives, an important set of questions have recently emerged about how humans adapt their deceptive practices to new communication and information technologies, including how communication technology affects the practice of lying and the detection of deception, and whether technology can be used to identify deception.
Terms: Spr | Units: 5 | UG Reqs: WAY-SI

COMM 132: Just Algorithms? Race, Regressions, and Resistance

What does it mean to say that algorithms are racist? If they can be, what are the stakes? Who is accountable? And what are the levers for change? Students will explore these questions as they learn about multiple forms of algorithmic oppression throughout the past and present.
Terms: Spr | Units: 3
Instructors: Riley, S. (PI)

COMM 138A: America in One Room: Research Practicum (COMM 238A)

In 2019, Stanford's Deliberative Democracy Lab brought together a national random sample of 523 Americans to deliberate on five major policy issues before the American electorate. We called it America in One Room (A1R). Using the methodology of a Deliberative Poll developed by Professor James Fishkin, the experiment recorded many significant changes in opinion after the participants deliberated, and a substantial decline in partisan polarization. This pattern of change in opinion and depolarization has been evidenced in two subsequent A1R's, in 2021 on Climate and Energy and in June 2023, on options for democratic reform in the US. This research practicum will expose students to the theory and methodology behind these grand experiments and offer students an opportunity to analyze and interpret data?both qualitative (the transcripts from the actual citizen deliberations) and quantitative (the statistical results of the deliberative polls). Students' research and analysis will advance the work of this vital collaborative research project and where possible, joint publications could be pursued. Note, in addition to the weekly course meetings, the teaching team highly recommends scheduling weekly office hours to have dedicated time for individual/group practicum projects.
Terms: Spr | Units: 3-5

COMM 140X: Solving Social Problems with Data (DATASCI 154, EARTHSYS 153, ECON 163, MS&E 134, POLISCI 154, PUBLPOL 155, SOC 127)

Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use more »
Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Preference given to Data Science & Social Systems B.A. majors and prospective majors. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. Sign up for the discussion section will occur on Canvas at the start of the quarter. Prerequisites: CS106A (required), DATASCI 112 (recommended as pre or corequisite). Limited enrollment. Please complete the interest form here: https://forms.gle/8ui9RPgzxjGxJ9k29. A permission code will be given to admitted students to register for the class.
Terms: Aut, Spr | Units: 5 | UG Reqs: WAY-SI, WAY-AQR

COMM 149F: Technology and Fascism: History of a Paradox (FEMGEN 149)

In the cultural imagination, technological innovation has often been associated with social progress. But the history of fascism reveals the multitude of ways that technologies have been harnessed by, and have themselves helped shape, reactionary movements and regimes. In this course, we will explore the multifaceted relationship between technology and fascism, with a particular focus on the role of gender and race. We will approach these topics from a range of angles, drawing from the fields of history, gender studies, science and technology studies, and media studies. We will also engage with a wide range of technologies, from radio to guns to the birth control pill; and with a broad range of "fascisms," from the 20th century regimes of Italy and Germany to the online Manosphere. Ultimately, we will illuminate and untangle the strategic and symbolic roles of technologies as they relate to reactionary politics.
Terms: Spr | Units: 3-5
Instructors: Lewis, R. (PI)

COMM 154: The Politics of Algorithms (COMM 254, CSRE 154T, SOC 154, SOC 254C)

(Graduate students enroll in 254. COMM 154 is offered for 5 units, COMM 254 is offered for 4 units.) 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.
Terms: Spr | Units: 5 | UG Reqs: WAY-SI

COMM 177A: Advanced Data Journalism (COMM 277A)

In this course, students will learn about and experiment with a variety of advanced data and computational techniques used in the news industry to hold powerful individuals and institutions to account. Topics may include geospatial analysis, image classification and entity extraction. Students will learn how these techniques are used to develop and tell stories, and then apply that knowledge in small-scale, novel exercises.
Terms: Spr | Units: 5
Instructors: Tumgoren, S. (PI)

COMM 177D: Specialized Writing and Reporting: Narrative Journalism (COMM 277D)

(Graduate students register for COMM 277D. COMM 177D is offered for 5 units, COMM 277D is offered for 4 units.) How to report, write, edit, and read long-form narrative nonfiction, whether for magazines, news sites or online venues. Tools and templates of story telling such as scenes, characters, dialogue, and narrative arc. How the best long-form narrative stories defy or subvert conventional wisdom and bring fresh light to the human experience through reporting, writing, and moral passion. Prerequisite: 104 or consent of instructor.
Terms: Spr | Units: 5 | UG Reqs: WAY-CE
Instructors: Brenner, R. (PI)
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