COVID-19 Rumor Detection Using Psycho-Linguistic Features

被引:4
|
作者
Mahbub, Syed [1 ]
Pardede, Eric [1 ]
Kayes, A. S. M. [1 ]
机构
[1] La Trobe Univ, Dept Comp Sci & Informat Technol, Bundoora, Vic 3086, Australia
关键词
Misinformation detection; rumor detection; COVID-19 rumor detection; feature engineering; psycho-linguistic features;
D O I
10.1109/ACCESS.2022.3220369
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
During the onset of COVID-19 pandemic, the social media was flooded with misinformation. Irrespective of the type of the misinformation, such contents played a significant role in increasing confusion among people in the middle of an ongoing crisis. The purpose of the study is to investigate the nature of a specific type of misinformation, i.e., rumors, surrounding COVID-19. The study utilizes a publicly available and labelled Twitter dataset and proposes a novel feature space, which can detect rumor instances with high accuracy. The proposed feature space not only includes content-based features, but also includes psycho-linguistic features to further study the characteristics of the content from the perspectives of linguistics and psychology. The use of psycho-linguistic features has been utilised to understand certain dramatisation of text in the domain of conspiracy propagation and fake news detection. However, the use of such dramatisation detection approach has never been used for the purposes of rumor detection. Our study first outlines the differences between these categories of misinformation propagation and clarifies where rumor fits-in under the broader umbrella of misinformation. It further outlines how the use of psycho-linguistic features can also improve the detection accuracy of rumors on social media. The study demonstrates through multiple experimental setups that psycho-linguistic features improves the detection accuracy and associated performance measures, such as precision and recall, for COVID-19 rumors on Twitter. The observed improvements are consistent across multiple machine learning models.
引用
收藏
页码:117530 / 117543
页数:14
相关论文
共 50 条
  • [21] DETECTION AND CLASSIFICATION OF COVID-19 USING GRAY-LEVEL FEATURES AND ENSEMBLE CLASSIFIER
    Patnaik, Vijaya
    Mohanty, Monalisa
    Subudhi, Asit Kumar
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2024, 36 (05):
  • [22] Detection of COVID-19 features in lung ultrasound images using deep neural networks
    Zhao, Lingyi
    Fong, Tiffany Clair
    Bell, Muyinatu A. Lediju
    COMMUNICATIONS MEDICINE, 2024, 4 (01):
  • [23] CNFRD: A Few-Shot Rumor Detection Framework via Capsule Network for COVID-19
    Chen, Danroujing
    Chen, Xiaoliang
    Lu, Peng
    Wang, Xuyang
    Lan, Xiang
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2023, 2023
  • [24] COVID-19 Detection from Spectral features on the DiCOVA Dataset
    Ritwik, Kotra Venkata Sai
    Kalluri, Shareef Babu
    Vijayasenan, Deepu
    INTERSPEECH 2021, 2021, : 936 - 940
  • [25] Detection of Covid-19 Using AI Application
    Kanna R.K.
    Ishaque M.
    Panigrahi B.S.
    Pattnaik C.R.
    EAI Endorsed Transactions on Pervasive Health and Technology, 2023, 9
  • [26] Neuropathological Features of Covid-19
    Solomon, Isaac H.
    Normandin, Erica
    Bhattacharyya, Shamik
    Mukerji, Shibani S.
    Keller, Kiana
    Ali, Ahya S.
    Adams, Gordon
    Hornick, Jason L.
    Padera, Robert F., Jr.
    Sabeti, Pardis
    NEW ENGLAND JOURNAL OF MEDICINE, 2020, 383 (10): : 989 - 992
  • [27] Features of anosmia in COVID-19
    Klopfenstein, T.
    Kadiane-Oussou, N. J.
    Toko, L.
    Royer, P-Y
    Lepiller, Q.
    Gendrin, V
    Zayet, S.
    MEDECINE ET MALADIES INFECTIEUSES, 2020, 50 (05): : 436 - 439
  • [28] Neuropathological Features of COVID-19
    Normandin, Erica
    Bhattacharyya, Shamik
    Mukerji, Shibani
    Keller, Kiana
    Ali, Ahya
    Adams, Gordon
    Hornick, Jason
    Padera, Robert
    Sabeti, Pardis
    Solomon, Isaac H.
    NEUROLOGY, 2021, 96 (15)
  • [29] What Motivates the Vaccination Rift Effect? Psycho-Linguistic Features of Responses to Calls to Get Vaccinated Differ by Source and Recipient Vaccination Status
    Thuermer, J. Lukas
    McCrea, Sean M.
    VACCINES, 2023, 11 (03)
  • [30] Psycho-Cardiological Disease in COVID-19 Era
    Tian, Peiqing
    Liu, Yixuan
    Wang, Jiayu
    Xing, Liyun
    Liu, Ping
    REVIEWS IN CARDIOVASCULAR MEDICINE, 2023, 24 (08)