Online Communities and Crowds (Spring 2025): Difference between revisions

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* [https://help.twitch.tv/s/article/achievements?language=en_US. Achievements]. n.d. Twitch. Accessed January 15, 2022.
* [https://help.twitch.tv/s/article/achievements?language=en_US. Achievements]. n.d. Twitch. Accessed January 15, 2022.
* Grayson, Nathan. 2018. [https://kotaku.com/twitch-partners-feeling-burned-after-affiliates-receive-1826810027 Twitch Partners Feeling Burned After Affiliates Receive Features That Took Them Years To Earn]. Kotaku. June 14, 2018.
* Grayson, Nathan. 2018. [https://kotaku.com/twitch-partners-feeling-burned-after-affiliates-receive-1826810027 Twitch Partners Feeling Burned After Affiliates Receive Features That Took Them Years To Earn]. Kotaku. June 14, 2018.
* Andrew, Scottie. 2021. [https://www.cnn.com/2021/09/02/tech/twitch-day-off-boycott-racism-cec/index.html  Black and LGBTQ streamers on Twitch boycotted the platform after repeated ‘hate raids’]. CNN. September 2, 2021.
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Revision as of 19:54, 8 April 2025

Online Communities & Crowds
Communication Studies 378
M/W 10am-11:20am CT
Frances Searle Building, Room 3-417
Spring, 2025
Northwestern University
Course websites
This wiki page for syllabus, schedule, links to readings.
Canvas for announcements, submitting assignments, files, and grading.
Wikipedia Assignment dashboard for everything related to the Wikipedia Assignment.
Instructor: Aaron Shaw (aaronshaw@northwestern.edu)
"Shawffice" Hours: M, 2-4pm (scheduled slots); W, 1-3pm (drop-in), or by-appointment.
Please signup if you'd like a scheduled slot.
Frances Searle Bldg, Room 1-140 (preferred) or remote (Location and details).
8-bit style "Online communities & crowds" graphic (2025, Aaron + Co-Pilot AI)

Course information

Overview

Online communities and crowds are everywhere from your social feeds and group chats to the training data that powers generative AI models and global software infrastructure. So, how do online communities and crowds work? Why have they had such vast impact? What can we learn from them to help build thriving communities and collective endeavors online and beyond?

This course seeks to understand online communities & crowds. It does so through an interdisciplinary inquiry into practical challenges that confront online communities & crowds today. When and why do some efforts to overcome these challenges succeed? What insights and expectations can we draw from these experiences?

Learning objectives

The course is designed to enable students to achieve the following goals:

  • Understand and critically engage central concepts, examples, and issues relevant to online communities & crowds.
  • Cultivate practical experience with online collaboration (in online communities and crowds).
  • Assess and iteratively improve upon your own work and that of your peers in light of the concerns analyzed in class.
  • Elaborate original insights into online communities & crowds; extend and apply the material presented in class.

Format and materials

The course consists of a combination of lecture and discussion. The lectures will synthesize a variety of historical, theoretical, and empirical materials. The discussion sections will focus on weekly assignments.

All readings and other materials for the course will be linked from this page and/or posted on Canvas.

Assignments and responsibilities

The course includes "weekly" and "project" assignments.

Every week all participants are responsible for (1) attending course meetings; (2) completing assigned readings, observations, or activities; and (3) participating in in-class discussions of course material. As part of this last item, I will circulate a small set of discussion prompts ahead of time that you can use to prepare. More information about how I'll use the discussion prompts appears below and we will talk about them during the first class session.

The "project" assignments are (1) the Wikipedia Assignment; and (2) the Community Advising Report. Details of both are provided below.

In general, written assignments submitted for the course should be uploaded as a PDF via Canvas.

In terms of other responsibilities, I recommend you familiarize yourself with Aaron's assessment policies (especially the assessment rubric for written work) as well as salient principles on academic integrity, especially the appropriate attribution of sources. Please submit written work in a readable (size 11 or greater) font and adopt a standard citation style (e.g., APA, Chicago, or PACM HCI) throughout. Please include your name somewhere (prominent!) in the document that you submit as well as your last name at the beginning of the filename (e.g., "Shaw-occ-week1.pdf").

Weekly assignments

The course schedule provides details of all reading assignments as well as links to materials and Canvas pages for submitting written assignments. Specifics for several types of assignments follow below.

Discussion prompts

The discussion prompts are a set of questions focused on the materials assigned for class for the week. At some point during most of our class sessions, I (Aaron) will cold-call people in the room to address a question inspired by or taken from the discussion prompts. By "cold call" I mean that I will call on people without asking for volunteers first. I will assess the responses to these questions for evidence that you have engaged with key aspects of the course material. In some cases, there won't be a singular "right" answer. I won't grade your answers, but will mark them complete/incomplete.

A goal here is to support accountability to the readings, attendance, preparation for the class, etc. That said, I understand that things come up. During the quarter you can "pass" on cold call questions twice. If you are absent and called upon and I haven't heard from you about the absence ahead of time, it will use one of your passes. If you anticipate being absent, you may contact me in advance to avoid using one of your passes. I will provide a supplementary assignment.

Because I understand that cold calling may be terrifying, I will circulate the discussion prompts ahead of time. The discussion prompts will include the kinds of questions I am likely to ask each week (in some cases, maybe even the same questions). They will also give you a good sense of where to focus your reading and note-taking. It is a good idea to do the readings with these questions in mind, to take notes guided by these questions, and/or to write out answers to these questions in advance. You are also welcome to work with other students, consult other resources, etc. to brainstorm or discuss possible answers outside of class (I will not collect your written responses or any records of your discussions).

Randomness will play a role in the cold calling. Ahead of each class session, I will use a computer program to generate a randomly ordered list of students and I will use this list to guide the cold calling in class. To try to maintain participation balance, the algorithm I use will try to ensure that everybody is cold called a similar number of times during the quarter. Although there is always some chance that you will called next, you will be less likely to be called upon relative to your classmates each time you are called upon.

Project assignments

Project assignments include the Wikipedia Assignment as well as the Community Advising Report. Brief descriptions follow here with additional details provided via linked pages.

The Wikipedia Assignment:

All members of the course will write (or at least significantly expand) Wikipedia articles. This assignment will take place over about six weeks starting at the beginning of the quarter. It will culminate in a brief written report offering advice/insights on the basis of your experience and materials you have encountered in the course.

Please review this overview of the assignment and assessment criteria. Details of specific assignment milestones and deadlines will be (almost entirely) provided through the course WikiEdu Dashboard.

Deadlines (See WikiEdu Dashboard for specific assignments and most up-to-date/accurate deadlines)
Week 1: Create an account, join the course page, learn some basics
Week 2: Learn some rules, evaluate an article, choose possible article topics
Week 3: Edit existing articles/citations, finalize article selection, find sources for your article
Week 4: Start more substantial editing your article
Week 5: Peer review two article, continue improving your article.
Week 6: Respond to peer review, polish your article.
Week 7: Final revisions to articles; Wikipedia Advising Report (1000 words max) due.

The Wikipedia Advising Report will be due May 16, 5pm. Please see the assignment page for details regarding submission requirements.

Community Advising Report

You will also be required to complete a 2000 word (maximum—this works out to about 8-10pp if using a size 12 standard font, margins, and spacing) Community Advising Report. For this report, you are invited to serve as an expert advisor to the leaders and members of an online community or crowd and to provide evidence-based insights into how to better address a specific challenge they face.

Detailed information about the assignment is available here

For this assignment, you will select your own community/crowd and challenge. I encourage you to choose a community/crowd of which you are a member/leader and where you could, even if only in theory, deliver your recommendations to other members/leaders and have some chance of seeing the recommendations debated/adopted. I expect you to draw on sources and evidence provided as part of the course (readings, lecture, other materials, etc.). You may, but absolutely do not need to draw on additional sources. Please note that I require you to write up a proposal and secure written approval of your chosen community/crowd and challenge. I also ask everyone to deliver a very brief "lightning talk" introducing the setting and challenge (and, if possible, recommendations) of your project during the final week of class.

Topic proposal due for review/approval: May 21 (5pm)
Lightning talk presentation of your project topic/setting: Week of June 2
Report due: Tuesday, June 10 (5pm)

Grading and assessment

Aaron will assign grades (usually a number between 0-10) that assess your performance on the specific elements of the course listed in the table below. For each element, grades start with the maximum possible value and only decrease in the event of a specific failure to meet some aspect of the relevant assessment rubric (more on those below). The percentage values are weights that will be applied to calculate your overall grade for the course.

Course element
Participation (including Discussion prompts) 35%
Wikipedia assignment exercises + article 15%
Wikipedia Advising Report 10%
Community Advising Report Proposal 5%
Community Advising Report Lightning Talk 10%
Community Advising Report 25%

For detailed assessment rubrics that will be used to derive grades for all assignments, please see the corresponding assignment page as well as Aaron's general assessment page. Other relevant information about academic integrity policies, grade appeals (requests to regrade), and more can be found on the general course policies page.

Policies

General course policies

General policies (including links to Northwestern's recommended policies) on a wide variety of topics including classroom equity, attendance, academic integrity, accommodations, late assignments, generative AI, and more are provided on Aaron's class policies page. Below are some policy statements that may be specific to this course and quarter.

Expectations for class sessions

The following are some baseline expectations. Please feel free to ask questions, suggest changes, or raise concerns during the quarter. I welcome all input. Also, if you feel that I can do anything to support these expectations more effectively, please let me know.

  • All members of the class are expected to contribute to creating a supportive, welcoming, and respectful environment.
  • All members of the class are expected to take reasonable steps to create an effective teaching/learning environment for themselves and others.

In-class discussion

Discussions are meant to provide you with an opportunity to confront, challenge, and explore the major themes of each week in a safe, respectful environment. Your active participation is indispensable, so come prepared, ready to test out ideas and hypotheses. Please keep in mind that participation is about more than who speaks the most. It is also about demonstrating a willingness to think through your own and others’ ideas. Some ground rules:

  • Respect others’ rights to hold opinions and beliefs different from yours. If you disagree, challenge the idea, not the person.
  • Listen carefully to what others are saying even when you disagree. Comments that you make (asking for clarification, sharing critiques, expanding on a point, etc.) should reflect that you have paid attention to the speaker’s comments.
  • Be courteous. Don’t interrupt or engage in private conversations while others are speaking.
  • Support your statements. Use evidence and provide a rationale for your points.
  • Allow everyone the chance to talk. If you have spoken a lot already, try to hold back a bit; if you are hesitant to speak, look for opportunities to contribute to the discussion.

Academic freedom, speech, and expression

I welcome and support the expression and exchange of diverse perspectives in my classes. As such, I do not grant permission for any recording, sharing, observation, reporting, posting, or republication of any statements made (by me or others) in the context of a class for the purpose of wider dissemination or for any purpose not expressly permitted under applicable Northwestern rules and policies.

I am also committed to supporting student speech and engagement in social and political activity beyond the classroom. Ongoing federal investigations of Northwestern University and its personnel; deportations, visa revocations, and disciplinary actions targeting students, faculty, and staff on the basis of their speech; as well as other recent events have not altered my commitments in this regard.

Syllabus revisions

This syllabus will be a dynamic document that will evolve throughout the quarter. Although the core expectations are fixed, the details will shift. As a result, please keep in mind the following:

  1. Assignments and readings are frozen 1 week before they are due. I will not add readings or assignments less than one week before they are due. If I forget to add something or fill in a "To Be Determined" less than one week before it's due, it is dropped. If you plan to read or work more than one week ahead, contact me first.
  2. Substantial changes to the syllabus or course materials will be announced. Please monitor your email for Canvas messages about changes. Also, whenever I make changes, these changes will be recorded in the edit history of this page in case you want to track what has changed.
  3. Changes will usually reduce/change work, only rarely augment. I tend to be a little over-ambitious with my syllabus content and then dial that back as I sort out what can be tossed overboard.
  4. The course design may adapt throughout the quarter. As usual (for me at least), I may iterate and prototype course design elements rapidly along the way. To this end, I will ask you for voluntary feedback—especially toward the beginning of the quarter. Please let me know what is working and what can be improved. In the past, I have made many adjustments based on this feedback and I expect to do so again.

Additional resources/readings

Throughout the quarter, we will might generate lists of related topics, readings, videos, memes, etc. You can add things to that list here

Schedule (with all the details)

Week 1: Origins (04.01, 04.02)

Lectures

  1. Introduction
  2. Course logistics
  3. Birth of the "modem world"

Assignments

Additional resources (not required! optional!)

Week 2: Definitions (04.07, 04.09)

Lectures

  1. What (was|is) a community anyway?
  2. Crowds: Their madness and wisdom
  3. Defining online communities & crowds

Assignments

Additional (optional!) resources

  • Bruckman, Amy. 2016. The Rheingold test.
  • Kim, Amy Jo. 1998. Nine timeless principles for building community. Available via New Architect magazine archives.
  • Aniket Kittur, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton. 2013. The future of crowd work. In Proceedings of the 2013 conference on Computer supported cooperative work (CSCW '13). Association for Computing Machinery, New York, NY, USA, 1301–1318.

Week 3: Participation (04.16)

Lectures

  1. Motivating participation + Participation inequalities (recorded lectures from 2022!)
  2. "Too much democracy in all the wrong places"

Assignments

Case study on Twitch (For Wednesday)
Additional resources

Week 4: Newcomers (04.21, 04.23)

Lectures

  1. Newcomer recruitment and socialization
  2. On the varieties of newcomer experience

Assignments

Additional resources

Week 5: Identity (04.28, 04.30)

Lectures

  1. Identity: The presentation of online self
  2. Privacy, context, and disclosure
  3. Anonymity: Threat or menace?

Assignments

Additional resources

Week 6: Governance (05.05, 05.07)

Lectures

  1. Governing the digital commons: A crude and brief synthesis
  2. Governance of and by (and within?) platforms
  3. Order from chaos? Governance in autonomous communities

Assignments

Additional resources

Week 7: Quality (05.12, 05.14)

Lectures

  1. How do they do it? Community production dynamics
  2. Social production, social failures

Assignments

Additional resources

Week 8: Profit (05.19, 05.21)

Lectures

  1. A withering critique of contemporary information capitalism
  2. Whither alternatives?

Assignments

  • Week 8 Discussion Prompts
  • Mary Gray and Siddharth Suri. 2019. Ghost Work. Read Introduction, Chs 1, 3, and 6 (Other chapters and Conclusion optional). (Available via Canvas] or the Internet Archive)
  • Community Advising Report topic proposals due this week (no later than Wednesday 5/21 at 5pm) for review. (Note: you must receive approval for your final project topic by the end of this week).

Additional resources

Week 9: AI (05.28)

Lectures

  1. The ubiquity of bots, algorithms, and machine intelligence in online communities
  2. FATE and other horizons of AI

Assignments

Additional resources

  • Michael Ann DeVito. 2021. Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms. In Proceedings of the ACM on Human-Computer Interaction, Vol. 5, CSCW2, Article 339 (October 2021), 35 pages, https://doi.org/10.1145/3476080.
  • Geiger, R. Stuart (2014). Bots, bespoke, code and the materiality of software platforms. Information, Communication & Society. DOI:10.1080/1369118X.2013.873069 (preprint version)

Week 10: The Future (06.02, 06.04)

Lectures

  1. The future of online communities & crowds

Assignments

  • Final project lightning talks + feedback this week.
  • Work on your Community Advising Reports.

Final project: Community Advising Reports due June 10, 5pm

Acknowledgments and Credits

This course design and syllabus builds from prior iterations as well as similar/adjacent courses offered by Joseph Reagle (Northeastern University); Benjamin Mako Hill (University of Washington, Seattle); Nathan TeBlunthuis (University of Texas at Austin), Kaylea Champion (University of Washington, Bothell); Casey Fiesler (University of Colorado at Boulder); Amy Bruckman (Georgia Institute of Technology); Sarita Yardi Schoenbeck (University of Michigan); Nazanin Andalibi (University of Michigan); and Nicole Ellison (University of Michigan). It has also been shaped by input from past students in the course and past teaching assistants (Sneha Narayan and Jeremy Foote) as well as current participants. Some of the language and policies were co-authored with Daniel Immerwahr (Northwestern).