• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.628-631
• /
• 2023

We present a new approach to evaluate the generated texts by Large Language Models (LLMs) for meme classification. Analyzing an image with embedded texts, i.e. meme, is challenging, even for existing state-of-the-art computer vision models. By leveraging large image-to-text models, we can extract image descriptions that can be used in other tasks, such as classification. In our methodology, we first generate image captions using BLIP-2 models. Using these captions, we use GPT-4 to evaluate the relationship between the caption and the meme text. The results show that OPT_6.7B provides a better rating than other LLMs, suggesting that the proposed method has a potential for meme classification.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.34 no.3
• /
• pp.227-253
• /
• 2023

The study is a preliminary study to conceptualize memes as information resources for literacy education in information environment changed with digital revolution. The study is to explain the context and reality of memes in order to promote the utilization of memes as information resources. The research questions are as follows: First, what topics are 'memes' studied with? Second, what things are captured and studied as 'memes'? The study conducted frequency and co-occurrence network analysis on 145 domestic studies and contents analysis on 73 domestic studies. The results are as follows: First, memes were mainly studied in the fields of 'humanities', 'social sciences', 'interdiciplinary studies', and 'arts and kinesiology'. Studies based on Dawkins' concept of memes (around 2012), studies on introducing the concept of memes to explain the spread of Korean Wave content (around 2015), and independent studies of memes as a major research topic in cultural sociology (around 2019) were performed. Second, memes are linguistic. Language memes (L-memes) are 102 (37%), language-visual memes (LV-memes) are 23 (8%), language-visual-musical memes (LVM-memes) are 21 (8%). Keyword 'language meme' ranked high in frequency, degree centrality and betweenness centrality of co-occurrence network. In other words, memes are expanding as a unique information phenomenon of cultural sociology based on linguistic characteristics. It is necessary to conceptualize meme literacy in terms of information literacy.

• Journal of English Language & Literature
• /
• v.55 no.4
• /
• pp.661-692
• /
• 2009

From the Darwinian perspective, all the human behaviors and thoughts are operated by "the selfish gene," the term coined by Richard Dawkins, which has long been evolving to survive by utilizing the limited quality and quantity of resources. And an organism which fails to regenerate by creating its "replicator" is doomed to extinction, for gene combinations which help an organism to survive and reproduce tend to also improve the gene's own chances of being passed on through generations. Dawkins also coins the term "meme" for a unit of human cultural evolution analogous to the gene, suggesting that such selfish replication may also be the principle for human culture. Ian McEwan is not only a controversial but more importantly influential writer in the 21st century academic world. His 1997 book Enduring Love is not exceptional in that it draws both literary and scientific attention. Intentionally set up with the dynamic conflict between the two cultures, namely art and science, the book explores the way in which the state of the modern minds is misinterpreted and estranged by each other. In this novel, the three main protagonists, Joe, Clarissa, and Jed, each representing the very important three elements of human civilization-cognition/science, emotion/art, and faith/religion-meet an unexpected peril of life. The author of the novel employs the narrative of evolutionary science-in particular the narratives of gene and meme-to provoke the question of the two cultures famously addressed by Snow in the mid 20th century and the further discussions followed by the later Darwinian scholars such as Richard Dawkins. In this paper I aim to illustrate the way in which the author develops the idea of gene science and literature and how he proceeds to provide a sophisticated bridge between the two cultures and induce a kind of consilience by the recurrent name of love in the story of Enduring Love.

• 중국학논총
• /
• no.71
• /
• pp.41-59
• /
• 2021

With the progress of social economy and science and technology, network media technology has developed rapidly, China has ushered in the network information age, and the network buzzwords emerged to reflect the interaction and influence between language and society. The network buzzwords of "X+ ren "indirectly show the social psychology and value orientation of modern people with their unique structural characteristics, semantic connotation and cultural deposits, and so on. Based on this, we have conducted a multi-angle investigation on the network buzzwords "X+ ren". This paper first analyzes the structure types and syntactic functions of the lexical model of "X+ ren ", then makes a semantic analysis of the lexical model of "X+ Ren ", and finally investigates the causes and influences of the popularity of "X+ ren ". Through the investigation, we believe that "X+ ren "will continue to grow, and "X+ ren" will continue to attract the attention of the academic community.