Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The identification of key cognitive heuristics of online inaccurate information credibility can provide theoretical suggestions for information dissemination, and provide some guidance for industry and government about how to control inaccurate information dissemination.[Method/process] Based on structured interview data of 18 online users, adopting grounded theory, 10 key cognitive heuristics were identified and a classification model was built based on 4 types of cognitive heuristics.[Result/conclusion] Consensus heuristics, self-cognition heuristics, and consistency heuristics are dominate cognitive heuristics; authentication heuristics and reputation heuristics are promising cognitive heuristics; appearance heuristics, transmission heuristics and content heuristics are supportive cognitive heuristics; novelty heuristics and Intent heuristics are driving cognitive heuristics.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-02-22
Abstract：摘要： 目的/意义 社交平台是谣言产生与传播的主要渠道，也是谣言传播过程中利益博弈的主要参与者。本文从博弈论的角度探究控制谣言传播的方法，为人们科学有效地治理谣言传播提供参考建议。 方法/过程 本文基于社交平台的研究视角，按照谣言发生前、传播中以及平息后三个阶段分别构建博弈模型，然后探究社交平台的策略选择及其稳定性，最后采用matlab2021b进行仿真实验验证。 结果/结论 结果表明，谣言发生前，平台策略选择主要与社会声誉价值以及政府部门的监管态度有关，提高平台对社会声誉的重视程度能够促使其加强谣言控制；传播过程中，平台的策略选择主要基于自身的商业利益出发，其次与网民的选择有关；谣言平息后，平台的策略主要取决于政府的选择，政府强化事后追责制度能够有效防止平台隐瞒事实、逃避责任行为的发生。
Peer Review Status:
Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2023-01-30
Abstract：
Abstract： Purpose/Significance Network rumors spread fast and wide, but the spread effect of dispelling rumors is generally not good. Since rumor refutation is a complicated process, it is of great significance to explore the combination path of the spread effect of online rumor refutation information in different situations for efficient rumor governance. Method/Process Based on the perspective of configuration, this paper collected data related to rumor refuting information of microblog and short video, and used fuzzy set qualitative comparative analysis method to explore the combination path of high communication effect of rumor refuting information and the difference of importance of influencing factors under different situations from three dimensions of rumor type, rumor refuting subject and rumor refuting channel. Result/Conclusion It is found that there are obvious differences in the combination path of the spread effect of Internet rumor information under different rumor types, rumor refuting subjects and rumor refuting channels. In addition, the influence factors on the effect of network rumor dispelling information dissemination have different importance in different situations. The results of this study supplement and expand the current research on rumor-dispelling information dissemination, provide a certain theoretical explanation for the inconsistent research conclusions in the existing literature, and provide a new perspective for the application of configuration analysis methods.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2022-12-02
Abstract：
Abstract: 【Purpose/Significance】Under the environment of social media, Internet rumors spread fast and widely, which seriously disturb the social order. Therefore, how to deal with Internet rumors has become an urgent problem to be solved in the management of Internet society. This paper explores the methods of network rumor governance from the perspective of rumor suppression strategies on social platforms, and provides reference suggestions for people to control rumor propagation scientifically and effectively.【Method/Process】Based on the rumor suppression strategy (warning and blocking) of social platforms, this paper proposes an improved SIC1-2R propagation model, and then analyzes the equilibrium point of rumors in the model and proves it. Finally, matlab2021a was used for simulation experiment.【Result/Conclusion】The results show that there are four equilibrium points of rumor propagation in the new model (no rumor equilibrium point E0, equilibrium point E1 before sealing, equilibrium point E2 before unsealing and equilibrium point E3 after unsealing), which are verified by simulation experiments. At the same time, the internal parameters of the model and the time factor have an important influence on the rumor propagation process.【Innovation/limitation】There are two innovations: (1) The rumor suppression strategy based on social platform (warning and blocking) improves the traditional SIR Communication model; (2) The stability of rumor equilibrium in the model was discussed in stages (before, before and after the number was sealed). Limitations mainly lie in the fact that the data used in the experiment are all simulated values, some parameters are set according to experience, and the governance strategy of Internet rumors is only discussed from the perspective of platform, so the research conclusions are not comprehensive enough.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2022-06-22
Abstract：
[Objective]Explore the combination path and key influencing factors of high propagation effect of rumor refuting information in social media environment.
[Methods] Based on the perspective of configuration, this paper obtained rumor dispelling data from Sina Weibo, explored the formation path of high communication effect by using fuzzy set qualitative comparative analysis (fsQCA) and further analyzed the key factors.
[Results]The results show that a total of four combined paths can produce high propagation effect, the overall coverage of all paths is about 46.1%, the original coverage of all paths is higher than the unique coverage, and the consistency level of the overall solution is higher than 0.8.
[Limitations] First of all, there are many factors that affect the spread effect of rumor refuting information, and this paper only considers some of them. Secondly, all the data in this study are from Sina Weibo, so it is difficult to determine whether the research conclusion can be applied to other social media.
[Conclusions]It is found that there are three modes (information-driven mode, agent-driven mode and collaborative driven mode) that produce high communication effect. Originality and richness of information are the key factors of high communication effect and play an indispensable role. In addition, the equivalence between configurations can also provide a theoretical explanation for the inconsistent research conclusions in the existing literature.
Peer Review Status:Awaiting Review
Hits
Hits
Downloads
Comment