The Grammar of Resistance: Adversarial Linguistics and Algorithmic Evasion

Han and Ma propose the Culture–Behavior–Brain (CBB) Loop model, which describes how culture shapes behavior and brain activity, while behavior and neural processes, in turn, reinforce and modify culture. This dynamic feedback model bridges cultural psychology and neuroscience to explain cross-cultural differences in cognition and affect.

Williams analyzes how memes like #LivingWhileBlack, BBQ Becky, and Karen operate as cultural critique in digital spaces, exposing and resisting White surveillance and racial dominance while providing Black communities with tools for expression and agency. She argues that these memes do more than humorously depict everyday racism—they disrupt dominant narratives and highlight systemic racial inequalities online and offline.

Davis et al integrate Identity Theory (IT) and Social Identity Theory (SIT) by conceptualizing collective identity as a form of group/social identity applicable to activist collectives. Using digital data from YouTube comments on veganism videos, the authors show that collective identity aligns with identity feedback processes and bridges IT and SIT concepts.

Custodians of the Internet examines how major social platforms decide what content stays up and what gets removed, revealing that moderation is shaped by opaque policies, economic priorities, cultural norms, and political pressures. The author highlights that these hidden choices, often made by a combination of algorithms and laborers behind the scenes, have profound effects on free expression, public discourse, and social norms.

This study investigates whether the race of a civilian influences the likelihood that police officers use force during 911 dispatches. Using a large dataset linking police use of force to the race of both civilians and dispatching officers, the authors find that Black civilians are more likely to experience force—especially when the responding officer is white.

Davis and Graham analyze how binary rating features (upvotes/downvotes) on Reddit influence users’ emotional expression and engagement, finding that upvotes tend to predict positive sentiment while downvotes predict negative emotion, yet downvoted content often generates higher engagement. The study frames ratings as affordances that function as symbolic markers of community norms, impacting both affect and attention patterns.

Judith Donath analyzes how identity is constructed and performed in online spaces, where cues from physical presence are absent and deception can be easier. She explains that virtual communities create unique challenges for trust, reputation, and authenticity due to the flexibility and opacity of identity online.

Bender and colleagues critique the trend toward larger and larger large language models (LLMs), arguing that scaling up these models amplifies serious harms—environmental, ethical, and social—without solving core problems of linguistic understanding or accountability. They call for more responsible research practices, including careful dataset curation, evaluation of societal impact, AI Ethics, and consideration of alternatives to ever‑larger models.

Brown and Levinson’s Politeness develops a model of face‑saving communication that explains how speakers across cultures use linguistic strategies to mitigate social conflict and maintain mutual respect. Central to the theory is the idea that all individuals have a desire to protect both their own and others’ “face,” leading to varied politeness strategies depending on social context and power relations.

Social Identity and Intergroup Relations compiles seminal work on how individuals’ self‑concepts are derived from their group memberships, and how these social identities shape perceptions, attitudes, and behaviors toward in‑groups and out‑groups. The book lays the foundational framework for understanding prejudice, discrimination, group conflict, and intergroup dynamics in terms of cognitive, motivational, and contextual processes.

Baym argues that social media are not a neutral social good but part of a socio‑technical and economic system in which communication practices are commodified, with platforms harvesting social interaction as data for profit. She critiques how the term “social media” obscures issues of ownership, power, and inequality, and calls for approaches to media that support societal well‑being rather than monetizing users’ sociality.

Goff and colleagues show that Black boys are perceived as older, less innocent, and more culpable than their White peers—perceptions linked to harsher disciplinary and policing decisions. This research demonstrates a form of racialized dehumanization that contributes to real‑world disparities in treatment and punishment.

Eli Pariser’s The Filter Bubble argues that personalization algorithms on platforms like Google and Facebook selectively curate what we see online based on our data, creating “filter bubbles” that limit exposure to diverse information and reinforce existing beliefs. This invisible tailoring of content shapes individual worldviews, can foster intellectual isolation, and has broader implications for society, democracy, and public discourse.

Sunstein explores how deliberation among like-minded individuals tends to amplify their preexisting views, a phenomenon he terms group polarization. He proposes that this effect is not just a quirk of psychology but a reliable pattern with implications for law, politics, and public discourse.

Patricia Wallace’s The Psychology of the Internet provides a comprehensive research‑based overview of how online environments shape human behavior, emotions, and social interaction across contexts such as impression formation, group dynamics, aggression, attraction, altruism, privacy, gaming, development, and gender. The book integrates classic and contemporary psychological research to explain why people behave differently online and how those behaviors both reflect and inform social life on the Internet.

Davis examines how individuals negotiate identity in a networked era marked by digital social technologies, highlighting the challenge of maintaining a coherent balance between idealized and authentic self‑presentations. She identifies conditions such as the fluidity between digital and physical contexts, expectations of accuracy, and overlapping social networks that shape contemporary identity processes.

Twitter and Tear Gas analyzes how digital technologies and social media have transformed protest movements, giving activists unprecedented ability to mobilize large numbers quickly while also exposing critical weaknesses in sustaining long‑term organization and strategy. Tufekci argues that networked online movements possess powerful strengths but are fragile in the face of institutional counter‑measures and lack the deeper capacities of traditional movements.