Identification and Interaction:Influence Factors and Framework Analysis of Communication Effect of Mainstream Media News Posters
News posters are increasingly becoming a pivotal conduit for mainstream media in China to convey news information to audiences on social platforms.Grounded in the realm of computational image communication,this study employs visual framing theory and computer vision technology to scrutinize the distribution characteristics of news posters in their capacities as denotative systems and stylistic-semiotic systems,along with their communication effects.The research utilizes microblog data from People's Daily for the entire year of 2022 as a sample(1,111 blogs).At the denotative level,three variables are considered,i.e.,news theme,character presentation,and headline sentence style.Simultaneously,the stylistic level incorporates three variables,i.e.,the combination of graphics and text,main color tone,and information quantity.Communication effects are assessed through identification and interaction dimensions.The findings reveal that variables from both denotative and stylistic frameworks collectively exert a significant influence on identification and interaction effects.Specifically,news posters addressing political diplomacy and disaster accidents are more likely to garner recognition and induce interaction.Posters incorporating diverse media forms contribute to broader dissemination.Factors such as exclamatory headlines,inclusion of character elements,and warm color tones positively impact the communication effectiveness of news posters.This study not only enhances comprehension of the dissemination mechanisms of news posters in the context of computational image communication but also furnishes practical guidance for media practitioners,highlighting the value and prospects of applying computational image communication in news dissemination practices.
万方数据
维普
