Changing Alcohol Cravings Using Social Media Comments

被引:4
|
作者
Noel, Jonathan K. [1 ]
Lakhan, Haleigh A. [1 ]
机构
[1] Johnson & Wales Univ, Coll Hlth & Wellness, Dept Hlth Sci, Providence, RI USA
关键词
Alcohol; social media; comments; cravings;
D O I
10.1080/10826084.2020.1868518
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background: Alcohol marketing has proliferated on social media. When exposed to social media advertisements, users view comments written in response to the ad and user engagement metrics, in addition to the ad itself. Here, the independent effect of different types of comments on alcohol craving was assessed. Methods: In all, n = 722 participants were randomized to view either no comments, pro-drinking comments, anti-drinking comments, warning labels, or industry responsibility messages associated with six alcohol ads. Alcohol cravings, measured using the Desires for Alcohol Questionnaire (DAQ), were assessed before and after ad exposure. Smoking urges were also assessed. The significance of main effects was determined using repeated-measures ANCOVA. Results: Warning labels significantly decreased scores on the desires and intentions to drink DAQ sub-scale (p = .025) and decreased smoking urges (p = .024). Pro-drinking comments significantly increased scores on the control of drinking sub-scale (p = .006). Conclusions: The findings suggest that user-generated comments can influence the desire to drink and smoking urges, beyond the effects of ads themselves. If so, alcohol warning labels may decrease alcohol cravings when used in this way. Additionally, to limit the loss of control over drinking, the ability of social media users to post pro-drinking comments may need to be curtailed.
引用
收藏
页码:377 / 387
页数:11
相关论文
共 50 条
  • [1] Alcohol cravings and engagement with alcohol content on social media
    Noel, Jonathan K.
    Serna, Fabiana
    [J]. ADDICTION RESEARCH & THEORY, 2023, 31 (03) : 184 - 190
  • [2] Using social media comments to reduce alcohol purchase intentions: An online experiment
    Noel, Jonathan K.
    [J]. DRUG AND ALCOHOL REVIEW, 2021, 40 (06) : 1047 - 1055
  • [3] Predicting Mental Illness using Social Media Posts and Comments
    Kamal, Mohsin
    Khan, Saif Ur Rehman
    Hussain, Shahid
    Nasir, Anam
    Aslam, Khurram
    Tariq, Subhan
    Ullah, Mian Farhan
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (12) : 607 - 613
  • [4] Filtering Relevant Comments in Social Media Using Deep Learning
    Ramamonjisoa, David
    Ikuma, Hidernaru
    Murakami, Riki
    [J]. 2022 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT, 2022, : 335 - 340
  • [5] Using Comments for Predicting the Affective Response to Social Media Posts
    Wang, Yi-Chia
    Dwivedi-Yu, Jane
    Kraut, Robert E.
    Halevy, Alon
    [J]. 2023 11TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, ACII, 2023,
  • [6] Classification of Abusive Comments in Social Media using Deep Learning
    Anand, Mukul
    Eswari, R.
    [J]. PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2019), 2019, : 974 - 977
  • [7] CLINICAL CORRELATES OF CRAVINGS FOR ALCOHOL
    Frye, M. A.
    Karpyak, V. M.
    Biernacka, J. M.
    Johnson, J. R.
    Loukianova, L.
    Schneekloth, T. D.
    Hall-Flavin, D. K.
    Mrazek, D. A.
    [J]. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2010, 34 (08) : 167A - 167A
  • [8] Pharmacological Treatment of Alcohol Cravings
    Marin, Matheus Cheibub David
    Pedro, Maria Olivia Pozzolo
    Perrotte, Giuliana
    Martins-da-Silva, Anderson S.
    Lassi, Dangela L. S.
    Blaas, Israel Kanaan
    Castaldelli, Fernando Ikeda
    dos Santos, Maria Beatriz Brisola
    Kortas, Guilherme Trevizan
    Campos, Marcela Waisman
    Torales, Julio
    Ventriglio, Antonio
    Perico, Cintia de Azevedo-Marques
    Negrao, Andre B.
    Leopoldo, Kae
    de Andrade, Arthur Guerra
    Malbergier, Andre
    Castaldelli-Maia, Joao Mauricio
    [J]. BRAIN SCIENCES, 2023, 13 (08)
  • [9] Herbal tonic for alcohol cravings
    不详
    [J]. CHEMISTRY IN BRITAIN, 1998, 34 (11) : 23 - 23
  • [10] Sentiment Analysis of Social Media Comments Using Machine Learning Algorithms
    Taghiyeva, Laman
    Hasanova, Narmin
    Omarova, Masuda
    Rustamov, Samir
    [J]. 2023 5th International Conference on Problems of Cybernetics and Informatics, PCI 2023, 2023,