A News Media Bias and Factuality Profiling Framework Assisted by Modeling Correlation  

作　　者：Qi Wang Chenxin Li Chichen Lin Weijian Fan Shuang Feng Yuanzhong Wang 

机构地区：[1]School of Computer and Cyber Sciences,Communication University of China,Beijing,100024,China [2]State Key Laboratory of Media Convergence and Communication,Communication University of China,Beijing,100024,China [3]School of Data Science and Intelligent Media,Communication University of China,Beijing,100024,China [4]Beijing 797 Audio Co.,Ltd.,Beijing,100016,China

出　　处：《Computers, Materials & Continua》2024年第11期3351-3369,共19页计算机、材料和连续体（英文）

基　　金：funded by“the Fundamental Research Funds for the Central Universities”,No.CUC23ZDTJ005.

摘　　要：News media profiling is helpful in preventing the spread of fake news at the source and maintaining a good media and news ecosystem.Most previous works only extract features and evaluate media from one dimension independently,ignoring the interconnections between different aspects.This paper proposes a novel news media bias and factuality profiling framework assisted by correlated features.This framework models the relationship and interaction between media bias and factuality,utilizing this relationship to assist in the prediction of profiling results.Our approach extracts features independently while aligning and fusing them through recursive convolu-tion and attention mechanisms,thus harnessing multi-scale interactive information across different dimensions and levels.This method improves the effectiveness of news media evaluation.Experimental results indicate that our proposed framework significantly outperforms existing methods,achieving the best performance in Accuracy and F1 score,improving by at least 1%compared to other methods.This paper further analyzes and discusses based on the experimental results.

关 键 词：News media profiling FACTUALITY BIAS correlated features 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] G206[文化科学—传播学]