中文摘要：

面对海量网络新闻,直觉或自动化加工过程在信息可信度判断中起重要作用,而与报道人物相关的社会类别信息是重要认知线索。本研究基于社会分类理论,探究网络新闻报道人物的社会分类维度及其与信任知觉的关系。以34名大学生为被试,采取层级分类任务对预备实验中得到的128个人物群体词语进行分类,并用多维标度法进行分析。结果表明,网络新闻人物的社会分类涉及社会地位高/低,社会距离远/近,传统/非传统三个维度,且后两个维度对信任知觉存在显著影响。研究结果揭示了人们对网络新闻报道人物的认知方式,拓展了信任的研究思路和方法。

英文摘要：

High popularity of social networking platforms have made each Internet user become publishers and communicators of the news information. Most of the news＇ content is difficult to distinguish between true and false, which leads to a trust crisis of the online news information. There was a lot of research about the online news, but researchers rarely studied the perceptual characteristics of online news from the perspective of psychology, and no study examined individuals＇ cognitive style of the online news makers and its impact on online trust. The present study focused on the above-mentioned issues. Based on the social classification theory, hierarchical sorting was used to collect similarity data between different online news makers, and multidimensional scaling was used to explore the dimensions underlying the social classification. Then the relationships between different dimensions of social classification and the trust perception were explored. Researchers first collected 128 types of news figures which appeared in a high frequency in the online news through an open questionnaire from 237 participants, and then asked the 34 participants （10 males and 24 females） to divide the news figures into 30 categories based on the similarity in certain respects between the figure types, and gradually to merge categories until the completion of the hierarchical sorting task. The researchers collected the data about the classification and the similarity reasons of each type. After the classification task, participants evaluated the degree of trust about each figure on a five-point Likert scale. A program evaluated the value of each figure group based on the similarity between the figure types, and the data about the similarity between the figure types was transformed into matrices and was analyzed by SPSS 17.0. The results showed that： （1） there were three dimensions about the social classification of the online news figures, namely, social status, social distance, traditional vs. non-traditional. （2）