Detecting and filtering rumor in social media using news media event

被引:5
|
作者
Kandasamy, Nithya [1 ]
Murugasamy, Krishnamoorthi [2 ]
机构
[1] Kongu Engn Coll, Dept Comp Sci & Engn, Erode 638060, Tamil Nadu, India
[2] Dr NGP Inst Technol, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
来源
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2021年 / 33卷 / 20期
关键词
rumor detection; recommendation system; news events; social media;
D O I
10.1002/cpe.6329
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In social media platform, many users post messages to express their interests and preferences daily. Because of its fast and easy access abundant people follow news events and there is a possibility for spreading rumor or fake news. This fake news is unverified at the time of posting. Therefore, it is necessary to detect and remove the fake news before it spread widely. Rumors or fake news are created illegally for the purpose of popularity, hike in their business or financial, and so forth, and these rumors need to be detected as easily as possible. Our proposed rumor detection method compares the social media content with news media and applies the support vector machine (SVM) as binary classification technique. Our experiments results revealed that the proposed method attained considerable improvement when compared to the existing machine learning techniques. The proposed SVM rumor detection approach attained better results of 89% precision, 64% recall, and 85% F-measure. The experimental results proved that the proposed method will be useful for avoiding social damages caused by rumors in social media.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Understanding Rumor Combating Behavior on Social Media
    Tang, Zhenya
    Miller, Andrew S.
    Zhou, Zhongyun
    Warkentin, Merrill
    JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2022, 62 (06) : 1112 - 1124
  • [32] Rumor proliferation and detection in Social Media: A Review
    Reshi, Junaid Ali
    Ali, Rashid
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS (ICACCS), 2019, : 1156 - 1160
  • [33] Detecting Controversies in Online News Media
    Beelen, Kaspar
    Kanoulas, Evangelos
    van de Velde, Bob
    SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2017, : 1069 - 1072
  • [34] Event attendance prediction using social media
    Mehmood, Ubaid
    Moser, Irene
    Ronald, Nicole
    PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2020), 2020,
  • [35] Identifying key rumor refuters on social media
    Gao, Yichang
    Sun, Yingping
    Zhang, Lidi
    Liu, Fengming
    Gao, Lei
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 231
  • [36] Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures
    Wang, Shuai
    Kong, Qingchao
    Wang, Yuqi
    Wang, Lei
    2019 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS (ISI), 2019, : 41 - 46
  • [37] A survey on rumor detection and prevention in social media using deep learning
    Barsha Pattanaik
    Sourav Mandal
    Rudra M. Tripathy
    Knowledge and Information Systems, 2023, 65 : 3839 - 3880
  • [38] A survey on rumor detection and prevention in social media using deep learning
    Pattanaik, Barsha
    Mandal, Sourav
    Tripathy, Rudra M.
    KNOWLEDGE AND INFORMATION SYSTEMS, 2023, 65 (10) : 3839 - 3880
  • [39] Sentiment Computing for the News Event Based on the Social Media Big Data
    Jiang, Dandan
    Luo, Xiangfeng
    Xuan, Junyu
    Xu, Zheng
    IEEE ACCESS, 2017, 5 : 2373 - 2382
  • [40] Study on news recommendation of social media platform based on improved collaborative filtering
    Wu B.
    International Journal of Web Based Communities, 2024, 20 (1-2) : 27 - 37