Efficient techniques for time-constrained information dissemination using location-based social networks

Litou, Iouliana; Boutsis, Ioannis; Kalogeraki, Vana

doi:10.1016/j.is.2015.12.002

Cited by 9 publications

(5 citation statements)

References 44 publications

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“…This dynamic can give rise to various forms of online information behaviour. However, the immediacy and interactivity of information in the contemporary media environment foster a close relationship between the public's information needs and the information environment (Litou et al, 2017). Consequently, the public's information behaviour is shaped by objective factors, such as information, communication methods and the information environment, leading to specific common characteristics within particular contexts.…”

Section: Online Information Behaviour Patternsmentioning

confidence: 99%

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How are you affected? The public’s online information behaviour patterns during the COVID-19 infodemic

Sun,

Ming,

Wang

et al. 2024

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Purpose This paper aims to examine the impact of the COVID-19 infodemic on the public’s online information behaviour, offering insights critical for shaping effective informational responses in future public health emergencies. Design/methodology/approach This paper uses a structured online survey with 27 targeted questions using a five-point Likert scale to measure eight variables. Data analysis is conducted through structural equation modelling on 307 valid responses to rigorously test the research hypotheses. Findings This paper indicates that information quality significantly impacts the public’s capacity to select, share and use online information. Additionally, the comprehensibility of information plays a crucial role in shaping the public’s behaviours in terms of online information exchange and usage. The credibility of information sources emerges as a key determinant influencing the public’s online information selection, exchange and utilization behaviour. Moreover, social influence exerts a substantial effect on the public’s online information selection, acquisition, exchange and utilization behaviour. These findings highlight the presence of universality and sociality, mediation and guidance, as well as the purposefulness and selectivity performed by the public’s online information behaviour during an infodemic. Originality/value This paper introduces a novel research model for assessing the influence and identifies the patterns of the public’s online information behaviour during the COVID-19 infodemic. The findings have significant implications for developing strategies to tackle information dissemination challenges in future major public health emergencies.

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Section: Online Information Behaviour Patternsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

How are you affected? The public’s online information behaviour patterns during the COVID-19 infodemic

Sun,

Ming,

Wang

et al. 2024

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“…Wei [25] analyzed the propagation process of uncertain information using the theory of heat conduction in physics. Litou et al [26] studied how to increase the rate of information dissemination at the lowest cost. Wang et al [27] argued that a higher-status initial disseminator could achieve a faster rate of dissemination, whereas Hong et al [28] showed that centralizing the release of truthful information effectively reduces the dissemination rate of uncertain information among netizens.…”

Section: Related Workmentioning

confidence: 99%

Dynamics analysis and optimal control study of uncertain information dissemination model triggered after major emergencies

Li,

Sun

et al. 2024

Front. Phys.

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In order to effectively prevent and combat online public opinion crises triggered by major emergencies, this paper explores the dissemination mechanism of uncertain information on online social platforms. According to the decision-making behavior of netizens after receiving uncertain information, they are divided into eight categories. Considering that there will be a portion of netizens who clarify uncertain information after receiving it, this paper proposes a SEFTFbTbMR model of uncertain information clarification behavior. The propagation dynamics equations of the model are given based on the theory of differential equations, the basic regeneration number R0 of the model is calculated, and the existence and stability of the equilibrium point of the model are analyzed. The theoretical analysis of the model is validated using numerical simulation software, and sensitivity analysis is performed on the parameters related to R0. In order to reduce the influence caused by uncertain information, the optimal control strategy of the model is proposed using the Hamiltonian function. It is found that the dissemination of uncertain information among netizens can be suppressed by strengthening the regulation of social platforms, improving netizens’ awareness of identifying the authenticity of information, and encouraging netizens to participate in the clarification of uncertain information. The results of this work can provide a theoretical basis for future research on the uncertain information dissemination mechanism triggered by major emergencies. In addition, the results can also provide methodological support for the relevant government departments to reduce the adverse effects caused by uncertain information in the future.

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“…According to the traditional infectious disease model [8][9][10] and the idea of multi-agent system, it constructs a SIRL multi-agent model of microblog public opinion. When information about a hot public opinion event appears, the interaction among the four types of subjects in the model, including ordinary users, the government, network media and public opinion leaders.…”

Section: Model Descriptionmentioning

confidence: 99%

Microblog Public Opinion Dynamic Evolution with SIRL Model in the Background of Micro-era

Yang¹,

Zhang²

2022

Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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In the context of the micro-era, microblog public opinion has become a new field of network public opinion. Correctly grasping the trend of microblog public opinion is helpful for governance of public opinion. Based on the perspective of multi-agent modelling and simulation, this paper adopts an interdisciplinary research method to constructs a SIRL multi-agent microblog public opinion evolution model, and designs the interaction rules of four types of subjects among microblog ordinary users, government, network media and public opinion leaders. Finally, with the help of the Netlogo simulation platform, this paper describes the evolution process and laws of microblog public opinion through the analysis of whether the government is involved, the influence parameters of the media, the influence of public opinion leaders, and the changes in the parameters of attitude and tendencies.

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Efficient techniques for time-constrained information dissemination using location-based social networks

Cited by 9 publications

References 44 publications

How are you affected? The public’s online information behaviour patterns during the COVID-19 infodemic

How are you affected? The public’s online information behaviour patterns during the COVID-19 infodemic

Dynamics analysis and optimal control study of uncertain information dissemination model triggered after major emergencies

Microblog Public Opinion Dynamic Evolution with SIRL Model in the Background of Micro-era

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