PHIL 25515 Bullshit: Language, Labor, and Data
Bullshit is everywhere — in politics, advertising, corporate speak, academic jargon, and data science. But what exactly is it? How does it differ from lying and deception? What features of language, institutions, and data make it so easy to produce and so hard to call out?
This course takes bullshit seriously as a philosophical topic. We begin with foundational questions: What is bullshit, and what distinguishes it from lying and deception? We then turn to language, examining how features of natural language — such as implicature, presupposition, vagueness, and euphemism — give speakers systematic resources for bullshitting while maintaining plausible deniability. The third unit considers bullshit and labor: the proliferation of "bullshit jobs," the language of corporate and bureaucratic life, and why so much modern work seems to demand it. We conclude with bullshit and data, asking how statistics, models, and algorithms can be deployed to mislead, and whether AI systems can be bullshitters in a philosophically interesting sense.
Readings draw on philosophy, linguistics, psychology, and sociology. No prior background in philosophy or formal methods is required.