Tesis
Linking the text-image relationship in internet memes through multimodal perspectives / Yovianda Valinaisyah
Abstrak
The research presents an analysis of the text-image relationship that occurred in internet memes from a multimodal perspective. Multimodality is used to support that the information derived from internet memes are from the combination of both visual and verbal language to support the statement that text and image combination designed in internet memes are crucial to meaning-making. Numerous theories are to be used to analyze the relationship between text and image in discourse from previous studies however this research is supported by the text-image cohesion theory adapted from van Leeuwen (2005) in Renkema J. amp Schubert (2018). Text-image cohesion proposed two categories to identify the relations and each of the categories embedded with sub-categories to classify the combination of visual and verbal language. All of the data presented in this research are gained from an Instagram meme account kermit.duh.frog since this account provides the internet memes that are suitable to the internet memes category which is going to be used in this research.