This paper presents the Deceptive Humor Dataset (DHD), a novel resource for studying humor derived from fabricated claims and misinformation. In an era of rampant misinformation, understanding how humor intertwines with deception is essential. DHD consists of humor-infused comments generated from false narratives, incorporating fabricated claims and manipulated information using the ChatGPT-4o model. Each instance is labeled with a Satire Level, ranging from 1 for subtle satire to 3 for high-level satire and classified into five distinct Humor Categories: Dark Humor, Irony, Social Commentary, Wordplay, and Absurdity. The dataset spans multiple languages including English, Telugu, Hindi, Kannada, Tamil, and their code-mixed variants (Te-En, Hi-En, Ka-En, Ta-En), making it a valuable multilingual benchmark. By introducing DHD, we establish a structured foundation for analyzing humor in deceptive contexts, paving the way for a new research direction that explores how humor not only interacts with misinformation but also influences its perception and spread. We establish strong baselines for the proposed dataset, providing a foundation for future research to benchmark and advance deceptive humor detection models.

September 8, 1966 was the day Science Fiction on television changed forever. It was the day Star Trek entered our public consciousness. In many ways, Star Trek was the right show, at the right time, this despite the fact that only after its initial run of 79 episodes, and a legendary letter writing campaign by its fans to try to save it, it was canceled by NBC for poor ratings. It came at a moment in our country's history when we were enjoying unprecedented technological advances and yet were experiencing social and political turmoil that threatened to rip apart the fabric of our nation and also potentially destroy our way of life as we knew it. This disparity between technology and humanity were themes that would define Star Trek in its various incarnations for the next fifty years -- and perhaps, if its fans see to make it so, for decades more.