Maria Prokofieva

Biographic Data

ID7777177
NAMEMaria Prokofieva
GIVEN NAMESMaria
FAMILY NAMEProkofieva
SIGNATUREPROKOFIEVA M
AFFILIATIONSVictoria University
ORCID0000-0003-1974-3827
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Health promotion campaigns using social media

    Open AccessAtousa Ghahramani, Maria Prokofieva et al.ARTICLEBMC Public Health2025

    We employed co-occurrence network analysis and association rules mining as powerful techniques to identify influential hashtags that may have a central role in health-related discussions and drive engagement within the co-occurrence hashtag network. In conclusion, we recommend additional hashtag structures in conjunction with heart health-related topics to improve community building and the effectiveness of disseminating messages in future heart …

  • Machine Learning(s) in gaming disorder through the user-avatar bond

    Open AccessVasileios Stavropoulos, Maria Prokofieva et al.ARTICLEJournal of Behavioral Addictions2024

    In response to our study, the commentary by Infanti et al. (2024) raised critical points regarding (i) the conceptualization and utility of the user-avatar bond in addressing gaming disorder (GD) risk, and (ii) the optimization of supervised machine learning techniques applied to assess GD risk. To advance the scientific dialogue and progress in these areas, the present paper aims to: (i) enhance the clarity and understanding of the concepts of t…

  • Deep learning(s) in gaming disorder through the user-avatar bond

    Open AccessVasileios Stavropoulos, Daniel Zarate et al.ARTICLEJournal of Behavioral Addictions2023

  • The Online Flow Questionnaire

    Open AccessVasileios Stavropoulos, Trent Anthony Footitt et al.ARTICLECyberpsychology Behavior and…2022

    Online flow refers to the rate of an individual's absorbance in an Internet activity in which they are engaged. It has been implicated with both the effectiveness of cyberhealth and online education applications, as well as excessive Internet use. One way of assessing it is the Online Flow Questionnaire (OFQ). Consequently, this study investigated the optimum measurement of online flow, as well as OFQ cutoff points, using Item Response Theory (IR…

  • Using Online Gambling Disorder Questionnaire (OGD-Q) with Adults

    Open AccessRapson Gomez, Taylor Brown et al.ARTICLEInternational Journal of Mental…2022

  • Problematic Shopping Behavior

    Open AccessDaniel Zarate, Lana Fullwood et al.ARTICLEInternational Journal of Mental…2022

    There has been an increasing amount of research examining problematic shopping behavior (PSB), often referred to in the psychological literature as "compulsive buying" or "shopping addiction." A popular scale for assessing the risk of PSB is the seven-item Bergen Shopping Addiction Scale (BSAS). To expand our knowledge of the psychometric properties of this instrument, the present study employed Item Response Theory (IRT) and differential item fu…

  • Cross-Addiction Risk Profile Associations with Covid-19 Anxiety

    Open AccessBrendan Dowd, Kaiden Hein et al.ARTICLEInternational Journal of Mental…2022

  • Promoting social media analytics in capital raising

    Open AccessMaria Prokofieva, Shah J MiahARTICLESocial Network Analysis and Mining2020

  • Evaluating types of students' interactions in a wiki-based collaborative learning project

    Open AccessMaria ProkofievaARTICLEAustralasian Journal of…2013

    Wiki technology has been promoted as a collaborative software platform. This study investigates interactions that occur in a wiki-based collaborative learning project. The study draws on interaction literature and investigates the types of interactions with which students are engaged in wiki-based group projects, clusters that reflect online interaction patterns and factors that affect students' interaction. The study employs a quantitative appro…