Understanding the multi-modal affective expression of net language in computer-mediated communication

Area of Science:

• Linguistics
• Communication Studies
• Digital Humanities

Background:

• Social media and technology have rapidly altered communication patterns.
• Net language has evolved from text-based to multimodal forms, incorporating symbols and emojis.
• The ambiguity of multimodal net language can impede understanding in computer-mediated communication.

Purpose of the Study:

• To explore the challenges in understanding multimodal net language.
• To propose Conceptual Blending Theory as a framework for analyzing net language.
• To ensure clear communication in computer-mediated interactions.

Main Methods:

• Analysis of multimodal net language characteristics.
• Application of Conceptual Blending Theory to interpret emergent meanings.
• Utilizing a four-space network and three-operation mechanism.

Main Results:

• Multimodal net language presents interpretation difficulties due to symbol ambiguity.
• Conceptual Blending Theory provides a structured approach to deconstruct and understand net language.
• The proposed framework facilitates the construction of emergent meaning in digital communication.

Conclusions:

• Conceptual Blending Theory is effective for processing and understanding multimodal net language.
• This framework aids in clarifying meaning and ensuring effective computer-mediated communication.
• Further research can explore the nuances of emergent meaning in digital interactions.