|
|
|
| Detecting Online Rumors with Sentiment Analysis |
Shou Huanrong, Deng Shuqing, Xu Jian( ) |
| School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China |
|
|
|
|
Abstract [Objective] This paper aims to identify rumors automatically with the help of sentiment analysis. [Methods] First, we chose high-quality and low-quality information sources. Then, we calculated the sentiment value and difference between the information from different sources. Based on the assumption that the information from high-quality source was more reliable, information from low-quality channels could be listed as rumor if the sentiment difference between them exceeded the pre-set threshold. [Results] We applied the proposed method to information on food and health as well as health and medical issues, and then successfully identified twenty-three rumors from thirty suspected cases. The accuracy rate of rumor detection was 76.67%, the F-value was 83.34%, the recall and precision was 71.42% and 100%, respectively. For non-rumor message, the F-value, recall, and precision were 72.73%, 100% and 57.14%. [Limitations] We did not extract the data automatically from different sources and the sample size was relatively small. [Conclusions] Sentiment analysis could help us identify rumors effectively.
|
|
Received: 27 May 2017
Published: 12 July 2017
|
|
|
| [1] |
郭小安. 当代中国网络谣言的社会心理研究[M]. 北京: 中国社会科学出版社, 2015.
|
| [1] |
(Guo Xiaoan.A Study on the Social Psychology of Contemporary Chinese Rumors Online[M]. Beijing: China Social Sciences Press, 2015.)
|
| [2] |
中国社会科学语言研究所词典编辑室. 现代汉语词典[M].第5版. 北京: 商务印书馆, 2005.
|
| [2] |
(Dictionary of Chinese Social Sciences Language Research Institute.The Modern Chinese Dictionary [M]. The 5th Edition. Beijing: The Commercial Press, 2005.)
|
| [3] |
沙莲香. 社会心理学[M]. 第2版. 北京: 中国人民大学出版社, 2006.
|
| [3] |
(Sha Lianxiang.Social Psychology[M]. The 2nd Edition. Beijing: China Renmin University Press, 2016.)
|
| [4] |
Zhang L, Liu B.Sentiment Analysis and Opinion Mining[J]. Synthesis Lectures on Human Language Technologies, 2012, 30(1): 152-153.
|
| [5] |
杨立公, 朱俭, 汤世平.文本情感分析综述[J]. 计算机应用, 2013, 33(6): 1574-1578, 1607.
doi: 10.3724/SP.J.1087.2013.01574
|
| [5] |
(Yang Ligong, Zhu Jian, Tang Shiping.Survey of Text Sentiment Analysis[J]. Journal of Computer Applications, 2013, 33(6): 1574-1578, 1607.)
doi: 10.3724/SP.J.1087.2013.01574
|
| [6] |
Tong R M.An Operational System for Detecting and Tracking Opinions in Online Discussion[C]// Proceedings of the 26th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2001.
|
| [7] |
徐琳宏, 林鸿飞, 潘宇, 等.情感词汇本体的构造[J]. 情报学报, 2008, 27(2): 180-185.
doi: 10.3969/j.issn.1000-0135.2008.02.004
|
| [7] |
(Xu Linhong, Lin Hongfei, Pan Yu, et al.Constructing the Affective Lexicon Ontology[J]. Journal of the China Society for Scientific and Technical Information, 2008, 27(2): 180-185.)
doi: 10.3969/j.issn.1000-0135.2008.02.004
|
| [8] |
HowNet [EB/OL]. [2017-02-01].
|
| [9] |
陈晓东. 基于情感词典的中文微博情感倾向分析研究[D].武汉: 华中科技大学, 2012.
|
| [9] |
(Chen Xiaodong.Research on Sentiment Dictionary Based Emotional Tendency Analysis of Chinese MicroBlog[D]. Wuhan: Huazhong University of Science & Technology, 2012.)
|
| [10] |
肖璐, 陈果, 刘继云. 基于情感分析的企业产品级竞争对手识别研究——以用户评论为数据源[J]. 图书情报工作, 2016, 60(1): 83-90, 97.
doi: 10.13266/j.issn.0252-3116.2016.01.012
|
| [10] |
(Xiao Lu, Chen Guo, Liu Jiyun.Study on Identification of Enterprise Product Level Competitor Based on Sentiment Analysis: Taking User Reviews for Data Resources[J]. Library and Information Service, 2016, 60(1): 83-90, 97.)
doi: 10.13266/j.issn.0252-3116.2016.01.012
|
| [11] |
Litton I. # TwitterCritic: Sentiment Analysis of Tweets to Predict TV Ratings [EB/OL]. [2017-03-05].
|
| [12] |
Nguyen T H, Shirai K.Topic Modeling Based Sentiment Analysis on Social Media for Stock Market Prediction[C]// Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. 2015: 1354-1364.
|
| [13] |
毛二松, 陈刚, 刘欣, 等. 基于深层特征和集成分类器的微博谣言检测研究[J]. 计算机应用研究, 2016, 33(11): 3369-3373.
doi: 10.3969/j.issn.1001--3695.2016.11.037
|
| [13] |
(Mao Ersong, Chen Gang, Liu Xin, et al.Research on Detecting Micro-blog Rumors Based on Deep Features and Ensemble Classifier[J]. Application Research of Computers, 2016, 33(11): 3369-3373.)
doi: 10.3969/j.issn.1001--3695.2016.11.037
|
| [14] |
Qazvinian V, Rosengren E, Radev D R, et al.Rumor Has It: Identifying Misinformation in Microblogs[C]// Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. 2012: 1589-1599.
|
| [15] |
Kwon S, Cha M, Jung K.Rumor Detection over Varying Time Windows[J]. PLoS One, 2017, 12(1): e0168344.
doi: 10.1371/journal.pone.0168344
pmid: 28081135
|
| [16] |
张志安, 束开荣, 何凌南. 微信谣言的主题与特征[J]. 新闻与写作, 2016(1): 60-64.
|
| [16] |
(Zhang Zhian, Shu Kairong, He Lingnan.The Topics and Features About Rumors on the WeChat[J]. News and Writing, 2016(1): 60-64.)
|
| [17] |
马费成, 宋恩梅. 信息管理学基础[M]. 第2版. 武汉: 武汉大学出版社, 2011: 136-142.
|
| [17] |
(Ma Feicheng, Song Enmei.Principles of Information Management [M]. The 2nd Edition. Wuhan: Wuhan University Press, 2011: 136-142.)
|
| [18] |
杜嘉忠, 徐健, 刘颖. 网络商品评论的特征-情感词本体构建与情感分析方法研究[J]. 现代图书情报技术, 2014(5): 74-82.
|
| [18] |
(Du Jiazhong, Xu Jian, Liu Ying.Research on Construction of Feature-Sentiment Ontology and Sentiment Analysis[J]. New Technology of Library and Information Service, 2014(5): 74-82.)
|
| [19] |
维基百科[EB/OL]. [2017-03-26].
|
| [19] |
(Wikipedia[EB/OL].[2017-03-26].)
|
| [20] |
知乎[EB/OL]. [2017-03-26].
|
| [20] |
(Zhihu [EB/OL]. [2017-03-26].)
|
| [21] |
果壳网[EB/OL]. [2017-03-26].
|
| [21] |
(Guokr [EB/OL]. [2017-03-26].
|
| [22] |
Giles J.Internet Encyclopedias Go Head to Head[J]. Nature, 2005, 138(15): 900-901.
|
| [23] |
百度[EB/OL]. [2017-03-26].
|
| [23] |
(Baidu [EB/OL]. [2017-03-26].)
|
| [24] |
搜狗[EB/OL]. [2017-03-26].
|
| [24] |
(Sougou [EB/OL]. [2017-03-26].)
|
| [25] |
流言百科[EB/OL]. [2017-03-26].
|
| [25] |
(Liuyanbaike [EB/OL]. [2017-03-26].
|
| [26] |
百度文库. 疾病名称大全[EB/OL]. [2017-03-26].
|
| [26] |
(Baidu Wenku.Full Listing of Disease Name [EB/OL]. [2017-03-26].)
|
| [27] |
吴江, 唐常杰, 李太勇, 等. 基于语义规则的Web金融文本情感分析[J]. 计算机应用, 2014, 34(2): 481-485.
|
| [27] |
(Wu Jiang, Tang Changjie, Li Taiyong, et al.Sentiment Analysis on Web Financial Text Based on Semantic Rules[J]. Journal of Computer Applications, 2014, 34(2): 481-485.)
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
