Mahidol University International College

About: Mahidol University International College is a based out in . It is known for research contribution in the topics: Tourism & Corporate governance. The organization has 240 authors who have published 485 publications receiving 6095 citations.

Humour 2.0: Styles and Types of Humour and Virality of Memes on Facebook:

Abstract: This research analyzes the communication process of humorous memes in the most vibrant online phenomenon, Facebook. Through quantitative and qualitative content analysis of 1,000 memes shared on a Facebook page, this research tests the effect of various styles and types of humour on the virality of memes. Self-defeating is the most effective style of humour although it is not the most frequently used. By applying the typology used in the context of broadcast and print media, this study shows that although sarcasm and silliness are the two most prevalent types of humour used in Internet memes, no obvious differences can be observed in the effects of seven types of humour—comparison, personification, exaggeration, pun, sarcasm, silliness and surprise—on virality. Nevertheless, the authors develop the framework for humorous memes in social media communications by combining established communication models with the concepts and theories of humour and virality. The findings of this research may benefit practit...

Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3)

Abstract: As if 2020 was not a peculiar enough year, its fifth month saw the relatively quiet publication of a preprint describing the most powerful natural language processing (NLP) system to date — GPT-3 (Generative Pre-trained Transformer-3) — created by the Silicon Valley research firm OpenAI. Though the software implementation of GPT-3 is still in its initial beta release phase, and its full capabilities are still unknown as of the time of this writing, it has been shown that this artificial intelligence can comprehend prompts in natural language, on virtually any topic, and generate relevant original text content that is indistinguishable from human writing. Moreover, access to these capabilities, in a limited yet worrisome enough extent, is available to the general public. This paper presents examples of original content generated by the author using GPT-3. These examples illustrate some of the capabilities of GPT-3 in comprehending prompts in natural language and generating convincing content in response. I use these examples to raise specific fundamental questions pertaining to the intellectual property of this content and the potential use of GPT-3 to facilitate plagiarism. The goal is to instigate a sense of urgency, as well as a sense of present tardiness on the part of the academic community in addressing these questions.