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A study of human flesh search with epidemic models

Published: 22 June 2012 Publication History

Abstract

Human Flesh Search (HFS) is a phenomenon of collaborative researching with a purpose of exposing personal information details of a target who has committed some misbehaviors. With the steady growth of Internet population and the communication convenience brought by forums, SNS and micro-blogs, HFS is becoming more and more powerful and able to fulfill tasks which are "mission impossible" by other conventional means.
Most existing research work on HFS focuses on legal or privacy issues, while we aim at building a mathematical model to understand the evolution of the search process and hence to evaluate and quantify the capability of this massive collaboration intelligence. By borrowing ideas from epidemics, we build a mathematical model which views the process of HFS as an analogy to the process of infectious disease spread. Experimental results show that our model matches real HFS cases very well.
The contribution of this paper is as follows. First, it is the first attempt to develop mathematical models to quantitatively describe the capability of HFS. Second, it is the first time to examine the relationship between target information entropy and its impact on netizen response, which cast new light on the success/failure prediction of future HFS campaigns.

References

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Human Flesh Search. http://baike.baidu.com/view/542894.htm.
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Li Ya-ling. From Violent "Human Flesh Search Engine" to Friendly "Human-computer Search Engine". Press Circles, 2008.
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Bu Song-tao. A Study on The Internet Search for Human Flesh Search Engine And The Invasion of Privacy. Journal of Shenyang Normal University (Social Science Edition), 2008.
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Yang Zhuo-chao. The legitimate limit of human flesh search engine. Public Administration & Law, 2009.
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Yang Meng-yao. An exploration of Human Flesh Search Engine in network community, Southwest Communication, 2008.
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Xue Xia. Sociological Reflection about "human-powered search" Phenomenon. China Youth Study, 2009.
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Fei-Yue Wang et al. A study of the human flesh search engine: crowd-powered expansion of online knowledge. IEEE computer society, 2010.
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Bing Wang et al. Human Flesh Search Model: Incorporating Network Expansion and GOSSIP with Feedback. 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2009.
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Bing Wang et al. Knowledge Aggregation in Human Flesh Search. IEEE Computer Society, 2010.
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SIR Model. http://en.wikipedia.org/wiki/SIR_Model.
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Science Magazine.: Rare-Tiger Photo Flap Makes Fur Fly in China, Science 9 November 2007 318: 893.
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Hannah Fletcher.: Human flesh search engines: Chinese vigilantes that hunt victims on the web, The Times (2008-06-25),http://technology.timesonline.co.uk./tol/news/tech_and_web/article4213681.ece.
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Cited By

View all
  • (2021)The mediated and mediatised justice-seeking: Chinese digital vigilantism from 2006 to 2018Internet Histories10.1080/24701475.2021.1919965(1-19)Online publication date: 29-Apr-2021
  • (2018)A Human Flesh Search Algorithm Based on Information Puzzle2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld.2018.00216(1243-1248)Online publication date: Oct-2018
  • (2018)Comparing Social Influence with Collaborative Influence in Human Flesh Search2018 Eighth International Conference on Information Science and Technology (ICIST)10.1109/ICIST.2018.8426157(444-449)Online publication date: Jun-2018
  • Show More Cited By

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    cover image ACM Conferences
    WebSci '12: Proceedings of the 4th Annual ACM Web Science Conference
    June 2012
    531 pages
    ISBN:9781450312288
    DOI:10.1145/2380718
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 22 June 2012

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    Author Tags

    1. HFS
    2. SIR Model
    3. epidemic model
    4. human flesh search

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    • Research-article

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    • Shenzhen Key Laboratories

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    WebSci '12
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    WebSci '12: Web Science 2012
    June 22 - 24, 2012
    Illinois, Evanston

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    Overall Acceptance Rate 245 of 933 submissions, 26%

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    Cited By

    View all
    • (2021)The mediated and mediatised justice-seeking: Chinese digital vigilantism from 2006 to 2018Internet Histories10.1080/24701475.2021.1919965(1-19)Online publication date: 29-Apr-2021
    • (2018)A Human Flesh Search Algorithm Based on Information Puzzle2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld.2018.00216(1243-1248)Online publication date: Oct-2018
    • (2018)Comparing Social Influence with Collaborative Influence in Human Flesh Search2018 Eighth International Conference on Information Science and Technology (ICIST)10.1109/ICIST.2018.8426157(444-449)Online publication date: Jun-2018
    • (2016)Internet Vigilantism: Attitudes and Experiences of University Students Toward Cyber Crowdsourcing in Hong KongInternational Journal of Offender Therapy and Comparative Criminology10.1177/0306624X1663903761:16(1912-1932)Online publication date: 18-Mar-2016
    • (2013)What Is the Uniqueness of Growth Pattern in Human Flesh Search Organization?Intelligence and Security Informatics10.1007/978-3-642-39693-9_8(75-81)Online publication date: 2013
    • (undefined)Human Flesh Search: What Did We Find?SSRN Electronic Journal10.2139/ssrn.2990436

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