Algospeak: Page-by-Page Summary

Focus question: What is your online in-group? Which online communities does the algorithm think you belong to?

Social Identity Theory (Tajfel & Turner, 1979):
- Social categorization and group membership
Social identification: adopting identities of groups you belong to; internalizing norms, values, and behaviors
Social comparison: comparing your in-group to out-groups to boost self-esteem
Code-switching: language signaling group membership
Internet implications: Fandoms, forums, and the “sides” of platforms like TikTok

Language & Belonging:
- Code-switching: strategic language choices that show group membership; reflects/constructs social identity; can include or distance from others
Familects (Gordon, 2009): invented words/phrases shared within intimate circles; signals belonging; outsiders won’t understand
Analogy: fandoms share language quirks similar to in-group speech

Do Algorithms Influence Identity?
- Engagement optimization algorithms: maximize engagement (comments, shares, retention); shape what we want to see vs what we are shown
- Blur in-group boundaries: faster delineation of in-group vs out-group
- Filter bubbles: tailor content to interests, speeding dissemination of certain linguistic/ideological trends
- Echo chambers: environments reinforcing existing views/beliefs tied to identity; can drive radicalization

Thinking About Thesis Statements:
- Example analytical thesis:
  $\text{An analysis of the college admission process reveals one challenge facing counselors: accepting students with high test scores or students with strong extracurricular backgrounds.}$
- The paper should: explain the analysis; explain the challenge
- Note: Thesis and outline due next Friday

Example Thesis for Essay #1:
- Focus: differences in text conversations between Generation Z and Baby Boomers
- Analysis areas: grammar choices, language use, stylistic preferences to identify sender’s age/generational group

Making an Outline:
- Introduction: attention getter, context, thesis statement
- Body: structure decisions; context vs main points; number of main points; organization by variable, similarities/differences, etc.
- Topic sentences and transitions
- Conclusion: revisit main points and thesis; explain why it matters/how it helps understanding

Collaboration: On a shared Google Doc, outline based on one of the three “Essay #1 Examples” on Canvas

Submission Checklist:
- Check rubric; five sources; at least two scholarly (peer-reviewed)
- References in APA format
- Clear data to be analyzed: identify variable, participants, and conversations (data)
- Review Canvas examples; the example outline is a skeleton; outline should be detailed; do not copy

Next Up:
- Mon, Sept 15: In-Class Activity: Thesis & Outline; Read Algospeak, Ch. 5 & 6
- Wed, Sept 17: Read Ch. 7; In-Depth Citation Lesson; In-Class Activity: Thesis & Outline
- Fri, Sept 19: In-Class Work Day; DUE: Reading Response #3: Thesis & Outline Workday (due before class)

The notes highlight key aspects of Social Identity Theory (Tajfel & Turner, 1979), which explains how individuals categorize themselves and others into groups, adopt group identities, and compare their in-group to out-groups to enhance self-esteem. This theory applies to online communities like fandoms and platform 'sides'.
Language choices are crucial for signaling group membership, including:
- Code-switching: Strategic language choices to reflect or construct social identity, either including or distancing from others.
- Familects: Invented words or phrases shared within intimate circles that signal belonging, often unintelligible to outsiders.
Algorithms significantly influence identity processes online:
- Engagement optimization algorithms maximize user interaction, which can blur in-group boundaries and speed up the delineation of in-groups versus out-groups.
- Filter bubbles tailor content to user interests, accelerating the spread of specific linguistic and ideological trends.
- Echo chambers reinforce existing views and beliefs tied to identity, potentially driving radicalization by insulating individuals from dissenting opinions.