This dissertation examines the cultural politics of the “techlash”—a widespread critical turn against Big Tech post-2016—by interrogating the underlying anxieties, historical contexts, and ideological constructs that shape this phenomenon. Techlash media examines a constellation of texts that narrativize why the internet failed to deliver on its promises of increased economic prosperity and democracy. The introduction frames the techlash as a response to the failures of digital technology to fulfill its utopian promises. It argues that contemporary concerns about media, technology, and credibility are deeply rooted in historical crises under late capitalism. By contextualizing these concerns within broader socio-economic shifts, the introduction sets up the dissertation’s exploration of how credit, both financial and social, becomes entangled with notions of credibility across cycles of tech hype and panic.
The first chapter, “Filtering Bubbles: The Nostalgic Cultural Politics at the Extreme Center of The Social Dilemma,” identifies the 2020 Netflix documentary as emblematic of a broader reactionary and nostalgic impulse within techlash discourse. It explores how the film mobilizes cultural anxieties about distraction, digital addiction, polarization, misinformation, and the loss of “authentic” human connections. The chapter argues that the discursive focus on “filter bubbles” and algorithmic manipulation reflects a desire to return to a pre-digital era of presumed media neutrality and objectivity that never was. This nostalgia is critically interrogated as a form of cultural politics that seeks to stabilize a crumbling liberal consensus by scapegoating “superhuman” technology.
The second chapter, “FIRED! On the Reification of the Attention Economy and the Mystification of Digital Advertising,” challenges the attention economy thesis. It argues that the concept of the attention economy is a misnomer, obscuring the actual dynamics of digital advertising. The chapter traces the genealogy of the attention economy, revealing its roots in neoliberal economic thought and critiques the mystification of digital advertising. I position digital advertising as neither a new form of value creation nor a revision of old feudal rentiership. Instead, I argue digital advertising, which represents the largest bulk of capital underwriting the internet’s nominally free consumer services, as akin to a de facto social credit system.
The third chapter, “‘So Creepy It Must Be True!’ Techno-orientalism, Techno-nationalism, and the Social Credit Imaginary,” delves into the construction of the social credit imaginary in Western media from around 2016 through the early 2020s. By analyzing the convergence of techno-orientalist tropes and techno-nationalist rhetoric, the chapter argues that fears of China’s Social Credit System (SCS) are less about actual technological practices in China and more about Western anxieties over surveillance, control, and post-industrial conditions of work. The chapter dissects how cultural artifacts like the dystopian Black Mirror episode “Nosedive” project these fears, and despite lacking any Asian characters or aesthetics, have been used to code surveillance technologies as Chinese, “creepy,” and in turn serve as a foil to justify the market dominance of tech platforms.
The coda, “Fragment on Machine Bias: from cybernetic to dialectical critique,” shifts the focus to the discourse of bias in AI and digital technologies. I show how critiques of tech bias resonate with cybernetic logics, which seek to correct biases within computational systems without consideration of the socio-economic conditions that bias technological development writ large. The chapter advocates for a dialectical critique that situates technological bias within the broader contradictions of capitalism, emphasizing the need to understand bias as a structural feature of technology under capitalism rather than as an aberration to be corrected. This coda calls for a more radical rethinking of how we engage with technology, moving beyond surface-level fixes to address the underlying forces driving technological development.