• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2023, Vol. 41 ›› Issue (10): 1755-1764.

• 科学学理论与方法 • 上一篇    下一篇

认知视角下科普短视频传播效果的影响因素

胡兵1,冯采君1,2   

  1. 1. 华南理工大学
    2.
  • 收稿日期:2022-08-03 修回日期:2022-12-08 出版日期:2023-10-15 发布日期:2023-10-26
  • 通讯作者: 胡兵

Influencing factors of propagation effect of science short videos from a cognitive perspective

  • Received:2022-08-03 Revised:2022-12-08 Online:2023-10-15 Published:2023-10-26

摘要: 已有大量研究证明信源的权威性对信息的传播效果具有显著的正向影响,然而社交媒体时代科学知识的传播是否也遵循这一规律?研究从抖音平台上选取20个代表性科普短视频账号,并从这些账号中抽取了743个科普短视频,基于社会认知理论下的启发-系统式模型(HSM,Heuristic-Systematic Model),通过内容分析发现:1)权威机构发布的科普短视频并没有表现出好的传播效果,颠覆了传统媒体环境下权威信源正向影响的认知。2)内容垂直度、叙事方式、音乐使用和解说方式是影响科普短视频传播效果的重要系统式线索。3)在科普短视频提供的论据不充分时,启发式加工与传播效果并不相关,说明不存在偏差效应。4)在科普短视频提供的论据充分情况下,当启发式线索与系统式线索作用方向一致时(同时高或低),两者对传播效果的叠加效应不显著;当两种线索作用方向不一致时,系统式线索对传播效果的影响大于启发式线索,即发生了衰减效应。这些发现从不同侧面揭示科普过程中系统式线索的重要性,要做有“温度”的科普。

Abstract: Many studies have proved that source credibility has a significant positive impact on the propagation effect. However, does science popularization in the era of social media also follow this rule? Traditional Persuasion Communication researches focus on all aspects of the complete communication path that may cause attitude changes, including source, information, channel, and destination. In recent years, researchers have paid more and more attention to understanding how the audience completes information decision-making behavior from the perspective of social cognition, emphasizing that persuasion is a process and that different information processing methods change their attitudes and behaviors. Based on the Heuristic-Systematic Model theory from the socio-cognitive perspective, this study samples 743 science short videos from 20 representative accounts on the “Douyin” platform. In the content-coding stage, researchers first establish the coding category table, and then three coders encode the samples. In the data analysis stage, the reliability of the coding results is tested first, and then the hypotheses of the heuristic cue and systematic cue and their sub-hypotheses are verified by the parameter test method. To verify the effect mechanism, factor analysis is used to calculate the argument richness score, heuristic cue score, and systematic cue score of each sample, then the sample grouping of argument richness and consistency is carried out with the median, and finally, correlation analysis and regression analysis are used to verify whether there is bias, additivity, or attenuation effect. The results of content analysis show: 1) Authoritative sources can’t play a better propagation effect and have a significant negative impact, reversing the positive cognition of authoritative sources in the traditional media environment. Science communication has transferred from the "top-down" mode to the "equal dialogue" mode. 2) The concentration of content, narrative mode, the use of music, and expression mode are important systematic cues that affect the propagation effect of science short videos. Only those science short videos with "temperature" can stimulate emotional resonance. 3)When the evidence provided by the science short video is insufficient, the heuristic cue score is not related to the propagation effect, indicating that there is no bias effect. 4)Under the condition of sufficient evidence provided by the science short video, when the heuristic cue score is congruent with the systematic cue score, the additivity effect of both on the propagation effect is not significant. In contrast, the scores of the two cues are incongruent, and the influence of systematic cues on the propagation effect is more significant than that of heuristic cues, that is, an attenuation effect occurs. It suggests that we should pay attention to the expression and emotional narration in the process of science popularization. However, there are still many imperfections in this study. From the actual samples, there is some uneven distribution of variables, such as music use and expression mode; In addition, because the content analysis is manually encoded, there may make the encoding no objective. These may have a certain impact on the results of statistical analysis. Future research can also include text analysis, such as qualitative analysis and emotional analysis of the comment text in the sample.