Meme Extraction and Tracing in Crisis Events
文献类型：会议论文
| 作者 | Saike He ; Xiaolong Zheng; Jiaojiao Wang; Zhijun Chang; Yin Luo; Daniel Zeng; Xiaolong Zheng, Jiaojiao Wang
|
| 出版日期 | 2016-10 |
| 会议名称 | the 2016 IEEE International Conference on Intelligence and Security Informatics |
| 会议日期 | September 28-30, 2016 |
| 会议地点 | Tucson, Arizona USA |
| 关键词 | meme extraction meme tracing accessor variety |
| 通讯作者 | Xiaolong Zheng, Jiaojiao Wang |
| 英文摘要 |
The proliferation of social media has increased the competition among different memes, which can be free texts, trending catchphrases, or micro media. As human attention is limited, these memes compete with each other, and go in and out of popularity at a rapid pace, sometimes even faster than we can recognize. Popular memes often shape the mindsets of online communities, and also shed light on their future tendencies. Considering the huge volume of memes generated and their continuous mutations, extracting and tracing online memes automatically is rather challenging. In this paper, we propose an automatic meme extraction algorithm. The proposed algorithm extracts massive memes based on phrases independency, and clusters phrase variants of a single meme efficiently. Evaluation on measles outbreak in the USA in 2015 indicates that the proposed algorithm could extract typical memes reflecting the fierce campaign between the pro-vaccination community and the anti-vaccination community. In both communities, memes are power-law distributed, and popular ones have many variants that appear more frequently. By tracing the evolution of online memes, we uncover that popular memes converge and generate peaks at times. Though the pro-vaccination community and the anti-vaccination community may focus on similar memes, they comprehend memes from totally different perspectives and deliver opposing opinions of measles vaccination. |
| 会议录 | Proceedings paper of IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12092]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 中国科学院自动化研究所 |
| 通讯作者 | Xiaolong Zheng, Jiaojiao Wang |
| 作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.School of Management and Economics, Beijing Institute of Technology 3.University of Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Saike He,Xiaolong Zheng,Jiaojiao Wang,et al. Meme Extraction and Tracing in Crisis Events[C]. 见:the 2016 IEEE International Conference on Intelligence and Security Informatics. Tucson, Arizona USA. September 28-30, 2016. |
入库方式： OAI收割
来源：自动化研究所
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