I distill three somewhat interrelated approaches to the ethical criticism of humor: (1) attitude-based theories, (2) merited-response theories, and (3) emotional responsibility theories. I direct the brunt of my effort at showing the limitations of the attitudinal endorsement theory by presenting new criticisms of Ronald de Sousa’s position. Then, I turn to assess the strengths of the other two approaches, showing that that their major formulations implicitly require the problematic attitudinal endorsement theory. I argue for an effects-mediated responsibility theory , (...) holding that the strongest ethical criticism that can be made of our sense of humor is that it might indicate some omission on our part. This omission could only be culpable in so far as a particular joke could do harm to oneself or others. In response to Ted Cohen’s doubts that such a mechanism of harm is forthcoming, I argue that the primary vehicle of the harmful effects of humor is laughter. (shrink)

Logic and humour tend to be mutually exclusive topics. Humour plays off ambiguity, while classical logic falters over it. Formalizing puns is therefore impossible, since puns have ambiguous meanings for their components. However, I will use Independence-Friendly logic to formally encode the multiple meanings within a pun. This will show a general strategy of how to logically represent ambiguity and reveals humour as an untapped source of novel logical structure.

This article explores several views on the relation of humour, especially tendentious humour, to morality, including comic amoralism, comic ethicism, comic immoralism, and moderate comic moralism. The essay concludes by defending moderate comic moralism.

Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures—ambiguity and distinctiveness—derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly with human (...) judgments of funniness. Moreover, within a set of puns, the distinctiveness measure distinguishes exceptionally funny puns from mediocre ones. Our work is the first, to our knowledge, to integrate a computational model of general language understanding and humor theory to quantitatively predict humor at a fine-grained level. We present it as an example of a framework for applying models of language processing to understand higher level linguistic and cognitive phenomena. (shrink)