网络视频是人们娱乐消遣、学习知识、了解信息的重要途径之一，已有众多研究发现观看包含特定内容的网络视频会对观看者的认知、情感和行为产生一定的影响。网络技术的发展使得网络视频用户数量不断增大，网络视频种类也不断增多，面对众多网络视频，不同的用户可能会有自己更偏好的类别，了解用户的网络视频偏好特征及其影响因素可以帮助网络视频平台为用户提供精准地提供感兴趣的内容，同时也可以让用户从网络视频中获得更多积极的影响。已有研究表明个体亲社会倾向会受到网络视频游戏的影响并继续影响对网络视频游戏的选择偏好，根据一般学习模型，攻击性与亲社会倾向具有相似的作用机制，同时人格特质和职业兴趣也与网络视频游戏偏好有关，为了探讨攻击性、亲社会倾向、大五人格和职业兴趣是否与网络视频偏好也有关，研究采用了问卷调查的方法对303名网络视频用户进行调查，结果如下：

首先，整体而言，用户更喜欢观看的视频类型是搞笑类，最不喜欢观看的视频是财经类，用户对网络视频的偏好存在性别差异。

其次，攻击性与网络视频偏好有关。个体攻击性水平与对竞技类、时事类、民生类和求知类网络视频的偏好均存在显著正相关，并且可以预测对民生类和求知类网络视频的喜爱程度。

亲社会倾向与网络视频偏好有关。个体亲社会倾向与对时事类、民生类、情绪类和求知类网络视频的偏好均存在显著正相关，并且可以预测对这四类网络视频的喜爱程度。

大五人格与网络视频偏好有关。神经质、开放性和尽责性可以同时预测对时事类视频的喜爱程度；开放性还能预测对民生类和求知类视频的喜爱程度；外倾性可以预测对情绪类视频的喜爱程度。

最后，职业兴趣与网络视频偏好有关，艺术兴趣和高声望可以同时有效预测对时事类视频的喜爱程度,艺术兴趣还可以有效预测对求知类视频的喜爱程度,机械和自然户外兴趣可以同时有效预测对竞技类视频的喜爱程度，商业细节和自然户外可以同时有效预测对民生类视频的喜爱程度，社会促进、商业细节、管理和助人兴趣可以同时有效预测对情绪类视频的喜爱程度。

Online video is one of the important ways for people to entertain, learn knowledge and information. Studies have found that watching specific online videos will influence viewers' cognition, emotions and behaviors. With the development of network technology, the number of online video users is increasing, and the types of online videos are also increasing. In the face of many online videos, different users may have their own preferred categories. Understanding the characteristics of users' online video preferences and their influence factors will help the online video platform to provide users with accurate content that they are interested. Besides, viewers can  receive more positive effects through some measures taken by the platform. Studies have shown that individuals' prosocial tendencies will be affected by online video games and influence their preference for online video games reversely. According to the general learning model, aggression has a similar influence mechanism to prosocial tendencies. Personality traits and vocational interests are related to online video game preferences as well. In order to explore whether aggression, prosocial tendencies, big five personality and vocational interests are also related to online video preferences, the study investigate 303 online video users through questionnaires. The results are as follows:

First, totally speaking, the video type that users most prefer to watch is funny, and that the least like to watch is financial. Besides, there is a gender difference in users' online video preference.

Second, aggression is related to online video preferences. Aggression is significantly positively correlated with preferences for competitive, current affairs, livelihood, and knowledge-seeking online videos, and can predict the degree of preference for livelihoods and knowledge-seeking online videos.

Prosocial tendencies are related to online video preferences as well. Individual prosocial tendencies are significantly positively correlated with preferences for current affairs, livelihoods, emotions, and knowledge-seeking online videos. It still can predict how much they like these four types of online videos.

Big five personality is related to online video preferences. Neuroticism, openness, and conscientiousness can simultaneously predict the preference for current affairs videos; openness can also predict the preference for livelihoods and knowledge-seeking videos; extraversion can predict the preference for emotional videos.

Finally, vocational interests are related to online video preferences. Artistic interest and high prestige can simultaneously effectively predict the preference for current affairs videos. Artistic interest can also predict the preference for knowledge-seeking videos. Mechanical and natural/outdoor interests can effectively predict the preference for competitive videos. The interests for business detail and natural/outdoor can effectively predicts the preference for livelihoods videos. The interests for social facilitating, business detail, managing, and helping can simultaneously effectively predict the preference for emotional videos.