Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition) ›› 2020, Vol. 22 ›› Issue (6): 19-29.doi: 10.19722/j.cnki.1008-7729.2020.0172
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Strategy Selection of Harmful Information Governance Subjects on Social Media Platforms#br# Based on Perspective of Three-party Evolutionary Game#br#
- School of Economics and Management, Beijing University of Posts and Telecommunications,
Beijing 100876, China
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Received:
2020-06-15Online:
2020-12-30Published:
2021-01-25
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ZHANG Bin, SUI Yu-jia. Strategy Selection of Harmful Information Governance Subjects on Social Media Platforms#br# Based on Perspective of Three-party Evolutionary Game#br#[J]. Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition), 2020, 22(6): 19-29.
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[1] 成俊会, 赵金楼.基于信息风险感知的社交网络舆情传播模型研究[J].情报杂志, 2015, 34(1): 134-138. [2] SHU K, SLIVA A, WANG S, et al. Fake news detection on social media: A data mining perspective[J]. ACM SIGKDD Explorations Newsletter, 2017, 19(1): 22-36. [3] LEWANDOWSKY S, ECKER U K H, SEIFERT C M, et al. Misinformation and its correction: Continued influence and successful debiasing[J]. Psychological Science in the Public Interest, 2012, 13(3): 106-131. [4] BALMAS M. When fake news becomes real: Combined exposure to multiple news sources and political attitudes of inefficacy, alienation, and cynicism[J]. Communication Research, 2014, 41(3): 430-454. [5] 郑思成.运用法律手段保障和促进信息网络的健康发展[J].北方交通大学学报(社会科学版), 2002(1): 54-59. [6] 洪晓梅,齐宁.德国网络社交媒体法律监管及对我国的启示[J].辽宁经济管理干部学院学报, 2018(6): 40-42. [7] 张楚.关于网络法基本问题的阐释[J].法律科学(西北政法学院学报), 2003(6): 80-87. [8] 巫思滨. 互联网不良信息综合治理研究[D]. 北京: 北京邮电大学, 2011. [9] 张化冰. 互联网内容规制的比较研究[D]. 北京: 中国社会科学院研究生院, 2011. [10] 高宏存,张朝霞.多管齐下治理网络不良信息:基于境外经验的思考[J].行政管理改革, 2012(6): 42-46. [11] 新浪财经. Facebook因剑桥分析丑闻面临50亿美元罚款[EB/OL]. (2019-07-16) [2019-12]. http://finance.sina.com.cn/stock/relnSews/us/2019-07-16/doc-ihytcitm2338175.shtml. [12] 新浪财经. 扎克伯格:2019年Facebook已经封掉了54亿个假账号[EB/OL]. (2019-11-15) [2019-12]. http://finance.sina.com.cn/roll/2019-11-15/doc-iihnzhfy9417233.shtml. [13] The Problem-Center for Human Technology[EB/OL].(2016-03) [2019-12]. https://humanetech.com/problem. [14] 陈昌凤, 石泽. 技术与价值的理性交往:人工智能时代信息传播——算法推荐中工具理性与价值理性的思考[J]. 新闻战线, 2017(17): 71-74. [15] 王昀. 新媒介研究拐点:人工智能时代传播学的现貌与反思[J]. 编辑之友, 2018(2): 60-66. [16] ZHANG Z K, LIU C, ZHAN X X, et al. Dynamics of information diffusion and its applications on complex networks[J]. Physics Reports, 2016, 651(26): 1-34. [17] 兰娟丽,雷宏振.负面信息在网络群间传播的扩散机制模型的构建[J]. 统计与决策, 2015(24): 27-30. [18] ZHANG L, LI H, ZHAO C, et al. Social network information propagation model based on individual behavior[J]. China Communication, 2017, 14(7): 78-92. [19] 刘继,李磊. 基于微博用户转发行为的舆情信息传播模式分析[J]. 情报杂志, 2013 (7): 74-77+63. [20] LIU N, AN H, GAO X, et al. Breaking news dissemination in the media via propagation behavior based on complex network theory[J]. Physica A Statistical Mechanics & Its Applications, 2016, 453(1): 44-54. [21] PETER J M, THOMAS R, KEVIN M, et al. Community structure in time-dependent, multiscale, and multiplex networks[J]. Science, 2010, 328(5980): 876-878. [22] MOSTAFA S, RAJESH S, MORENO M, et al. Spreading processes in multilayer networks[J]. IEEE Transactions on Network Science and Engineering, 2015, 2(2): 65-83. [23] 吴少华,崔鑫,胡勇. 基于 SNA 的网络舆情演变分析方法[J]. 四川大学学报 (工程科学版), 2015, 47(1): 138- 142. [24] RAFA D, JAN S, WOJCIECH F. The application of social network analysis algorithms in a system supporting money laundering detection[J]. Information Sciences, 2015(295): 18-32. [25] 申志伟, 张彬, 陈文基. 基于有害信息传播模型的互联网治理研究[J]. 北京邮电大学学报(社会科学版), 2010, 12(5): 32-37. [26] 张海涛,宋拓,张连峰,等. 基于信息内容与信息属性的微博热点信息生态化的实现研究[J]. 图书情报工作, 2014, 58 (15): 123-127+134. [27] 周秀云,娄策群. 信息生态群落演替的概念、过程与特征[J]. 情报理论与实践,2011, 34(6): 12-14. [28] 冯建华.网络信息治理的特质、挑战及模式创新[J].中州学刊, 2019(3): 162-168. [29] 贾焰, 李爱平, 李欲晓. 国外网络空间不良信息管理与趋势[J]. 中国工程科学, 2016, 18(6): 94-98. [30] 熊光清.不断提升网络舆论引导能力:多中心协同治理角度的探讨[J].兰州学刊, 2019(5): 36-44. [31] 莫祖英.基于信息质量控制的网络参与者博弈模型分析[J].情报科学, 2013, 31(9): 137-141. [32] 李钢,宋强.中国互联网低俗内容监管的博弈分析[J].管理评论, 2011, 23(10): 77-82. [33] 陈为东,王萍,王益成.基于系统动力学的网络信息生态系统运行机理模型及优化策略研究[J]. 现代情报, 2017, 37(7): 9-13. [34] 宾宁,王钰,胡凤. 基于三方博弈视角的社交网络负面信息传播及仿真研究[J].情报探索, 2018(9): 1-12. [35] NEKOVEE M, MORENO Y, BIANCONI G, et al. Theory of rumour spreading in complex social networks [J]. Physica A Statistical Mechanics & Its Applications, 2007, 374 (1): 457-470. [36] 冯丽萍,韩琦,周志刚,等.社交网络影响的不良信息扩散建模及最优控制策略[J].计算机应用,2020,40(3):735-739. [37] 兰娟丽,雷宏振,章俊. 基于小世界网络的微博负面信息传播模型构建与案例分析[J]. 现代情报, 2015, 35(4): 22-25. [38] 朱张祥,刘咏梅.在线社交网络谣言传播的仿真研究:基于聚类系数可变的无标度网络环境[J].复杂系统与复杂性科学, 2016, 13(2): 74-82. [39] 张璐妮,唐守廉,程玉红,等.融媒体环境下公共危机事件治理策略网络传播效果比较研究[J].情报科学, 2019, 37(9): 139-144+152. [40] COLEMAN D J, GEORGIADOU Y, LABONTE J. Volunteered geographic information: the nature and motivation of producers[J]. International Journal of Spatial Data Infrastructures Research, 2009(4): 332-358. [41] 孙晓阳. 社会化媒体信息质量的影响主体博弈及管控策略研究[D]. 镇江:江苏大学, 2016. [42] 张向先,刘宏宇,胡一.社交网络信息生态链的形成机理及影响因素实证研究[J].图书情报工作, 2014, 58(16): 36-41. [43] SANG C, LIAO S. Modeling and simulation of information dissemination model considering user’s awareness behavior in mobile social networks[J]. Physica A: Statistical Mechanics and its Applications, 2020, 537(2020): 122639. [44] 林芹,郭东强.优化SIS模型的社交网络舆情传播研究:基于用户心理特征[J].情报科学, 2017, 35(3): 53-56+75. [45] 刘佳,张琳.移动网络不良信息治理技术研究及建议[J].中国信息化, 2018(6): 61-63. [46] 崔金栋,于圆美,王新媛,等. 信息管理技术视角下微博研究综述与趋势分析[J]. 图书馆论坛, 2015 (4): 92-99. [47] 袁毅. 微博客信息传播结构、路径及其影响因素分析[J]. 图书情报工作, 2011 (12): 26-30. [48] COMIN C H, COSTA Lda F. Identifying the starting point of a spreading process in complex networks[J]. Physical Review E Statistical Nonlinear & Soft Matter Physics, 2011, 84(5): 056105. [49] SHEN Z, CAO S, WANG W, et al. Locating the source of diffusion in complex networks by time-reversal backward spreading[J]. Physical Review E, 2016, 93(3): 032301 [50] 何冰心.社交网络中信息传播和溯源模型研究[D]. 大连: 大连理工大学, 2018. [51] YANG D, LIAO X, SHEN H, et al. Dynamic node immunization for restraint of harmful information diffusion in social networks[J]. Physica A: Statistical Mechanics and its Applications, 2018, 503(1): 640-649. [52] KALASHNIKOV A O,GUBANOV D A,NOVIKOV D A. Game-theoretic models of informational confrontation in social networks [J]. Automation and Remote Control, 2011, 72 (9): 2001-2008. [53] 袁毅,蔚海燕. 问答社区低可信性度信息的传播与控制研究[J]. 图书馆论坛, 2011, 31(6): 171-177. [54] 伍逸凡,朱龙娇,石俊萍.人工神经网络在信息过滤中的应用[J].吉首大学学报(自然科学版), 2019, 40(3): 17-22. [55] 方瑞,于俊洋,董李锋.基于B-Feature特征构造和BP神经网络的垃圾文本过滤[J/OL].计算机工程.(2019-09)[2019-12]. https://doi.org/10.19678/j.issn.1000-3428.0055414. [56] 崔金栋, 郑鹊, 孙硕. 微博信息传播模型及其演化研究综述[J]. 图书馆论坛, 2018, 38(1): 68-77. |
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