Predicting the security threats of internet rumors and spread of false information based on sociological principle

doi:10.1016/j.csi.2020.103454

Computer Standards & Interfaces

Volume 73, January 2021, 103454

https://doi.org/10.1016/j.csi.2020.103454 Get rights and content

Highlights

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With the fast-growing IoT, regular connectivity through a range of heterogeneous intelligent devices across the Social Online Networks (SON) is feasible and effective to analyze sociological principles. Therefore, increased user contributions, including web posts, videos and reviews slowly impact the lives of people in the recent past, which triggers volatile knowledge dissemination and undermine protection through gossip dissemination, disinformation, and offensive online debate.
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In this paper, the proportion of trustworthy Facebook fans who post regularly in early and future popularity has been analyzed linearly using PSTIR and SFIBS methods. Facebook statistics remind us that mainstream fatigue is an important prediction principle and The mainstream fatigue principle, Besides, it shows the effectiveness of the PSTIR and SFIBS based on experimental study.

Abstract

With the fast-growing IoT, regular connectivity through a range of heterogeneous intelligent devices across the Social Online Networks (SON) is feasible and effective to analyze sociological principles. Therefore, Increased user contributions, including web posts, videos and reviews slowly impact the lives of people in the recent past, which triggers volatile knowledge dissemination and undermine protection through gossip dissemination, disinformation, and offensive online debate. Based on the early diffusion status, the goal of this research is to forecast the popularity of online content reliably in the future. Though conventional prediction models are focused primarily on the discovery or integration of a network functionality into a changing time mechanism has been considered as unresolved issues and it has been resolved using Predicting The Security Threats of Internet Rumors (PSTIR) and Spread of False Information Based On Sociological (SFIBS) model with sociology concept. In this paper, the proportion of trustworthy Facebook fans who post regularly in early and future popularity has been analyzed linearly using PSTIR and SFIBS methods. Facebook statistics remind us that mainstream fatigue is an important prediction principle and The mainstream fatigue principle, Besides, it shows the effectiveness of the PSTIR and SFIBS based on experimental study.

Section snippets

“Internet of things” and “Social networks”

The integration of the “Internet of Things” and the “Social Networks” has been feasible in recent years, and steadily several cool devices are being linked to social networks. There is a growing array of online sites that gathered thousands of users. Presently, Facebook, is one of the world's biggest internet media networks, had about 1 trillion subscribers by 2019, spanning natural scientists, celebrity groups, policy departments and a variety of regular consumer web sites, which also receive

Hyper-Massive online social network such as facebook

The above approaches allowed an effect to forecast success, the predictive precision still needs to be enhanced for the social network on hyper-massive online such as Facebook. The community state approach primarily utilizes the mathematical model to replicate the knowledge diffusion mechanism from a microscopic viewpoint, Here, the node in homage and the likelihood of state transition in the model are too idealized which has been extended to approximate the degree of spread using fixed network

Assumption of problem

This Research explores how to forecast the success of Facebook website material, where people will update, support, and post messages. Based on the data from early observations, the goal of the popularity forecast is based on the effective outcome of the online content and The post at the time of the report with every message published on every Facebook homepage.

Let us considered the content “m” as described with release duration as U₀, with the Time estimation and U_reference time. Based on the

Facebook life cycle content

Based on the mathematical proof, significant function in this segment contains User interaction that calculates user engagement level for content sharing. Further, The total amount of messages written by the consumer in an hour has less time than the consumer stays. Fig 2 shows the app activity At different times, where the user behavior varies greatly, and throughout the day the operation of the device becomes even greater than at midnight. The survey shows that The highest usage period is

Principle of fatigue mainstream

In this method,] a sociological fatigue hypothesis ''focused on the traditional ''weak relations''' theory. The low connection hypothesis suggested on American sociologist Mark may be a linear mixture of emotional power, confidence, and relationships. Centered on this conventional model, poor ties drive the widespread distribution of knowledge. The topological framework of social networks consisting of pleasant ties which illustrates what the social features are at the macro stage.

It has been

RESULT and discussion

To minimize sample noise during pretreatment, pick the ingredient with 10 shares. Root mean Square Error (RMSE) has been calculating the variations between the values expected and the values reported. As shown in the Fig 3 the RMSE decreases slowly with the early-stage development of the major-stream proportion. As g = 3.852%, the RMSE curve hits the trough and Pearson's coefficient of association which is clearly shown below,

It is attributed to the assumption that since the application

Conclusion

This paper focused on sociological theory to address the question that existing approaches are not predictively reliable enough. It considers that the proportion of loyal fans on Facebook's site with regular early and potential popularities is extremely dimensional. The experimental findings on Facebook show a clear position in the estimation of the principle of social physics. Besides, laboratory experiments demonstrate that the proposed approach is successful. The findings indicate that the

Author statement

We are submitting a manuscript entitled “Predicting the Security Threats of Internet Rumors and Spread of False Information based on Sociological Principle” for the special issue section titled “Natural Language Processing for Digital Library Management” in the Computer Standards & Interfaces Journal. This is an original submission which have not been published before.

Declaration of Competing Interest

We, the authors, solemnly declare that we do not have any conflicts

Acknowledgments

This work is funded by Key projects of Humanities and Social Sciences in Anhui Province. Analysis of content generation mode represented by UGC and PUGC (SK2018A0688/2018tsjjd501).

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View full text

Predicting the security threats of internet rumors and spread of false information based on sociological principle

Highlights

Abstract

Section snippets

“Internet of things” and “Social networks”

Hyper-Massive online social network such as facebook

Assumption of problem

Facebook life cycle content

Principle of fatigue mainstream

RESULT and discussion

Conclusion

Author statement

Declaration of Competing Interest

Acknowledgments

Comput Commun

Physica A: Statistical Mechanics and its Applications

Gov Inf Q

Eur. Manag. J.

Enquiring minds: early detection of rumors in social media from inquiry posts

Cyber-rumor sharing under a homeland security threat in the context of government Internet surveillance: the case of South-North Korea conflict

Gov Inf Q

The decision to share information and rumors: examining the role of motivation in an online discussion forum

Communications of the Association for Information Systems

Online rumor transmission among younger and older adults

Sage Open

Effects of online rumors on attribution of crisis responsibility and attitude toward organization during crisis uncertainty

J. Public Relat. Res.

Fake News and Information Warfare: an Examination of the Political and Psychological Processes From the Digital Sphere to the Real World

InHandbook of Research on Deception, Fake News, and Misinformation Online

The Avant-Garde Ways to Prevent the WhatsApp Fake News

In Emerging Research in Data Engineering Systems and Computer Communications

The Avant-Garde Ways to Prevent the WhatsApp Fake News

Emerging Research in Data Engineering Systems and Computer Communications

Threats Against Information Privacy and Security in Social Networks: a Review

In International Conference On Advances in Cyber Security

Confronting Lord Haw-Haw: rumor and Britain’s Wartime Anti-Lies Bureau

J Mod Hist

Interoperable pipelines for social cyber-security: assessing Twitter information operations during NATO Trident Juncture 2018

Computational and Mathematical Organization Theory

Socialtruth project approach to online disinformation (fake news) detection and mitigation