Online health [mis]information processing and evaluation among older adults: Comparing individuals with varied abilities in information discernment

被引:0
作者
Peng, Wei [1 ]
Meng, Jingo [2 ]
Lim, Sue [3 ]
Liu, Huiyi [3 ]
机构
[1] Michigan State Univ, Dept Media & Informat, 404 Wilson Dr, E Lansing, MI 48824 USA
[2] Ohio State Univ, Sch Commun, 3016 Derby Hall, 154 N Oval Mall, Columbus, OH 43210 USA
[3] Michigan State Univ, Dept Commun, 404 Wilson Dr, E Lansing, MI 48824 USA
关键词
Misinformation; Information processing; Information evaluation; Evidence; Heuristic cues; Think-aloud; Older adults; SOCIAL MEDIA; MISINFORMATION; CREDIBILITY; NEWS; TECHNOLOGY; CHALLENGES; PERSUASION; LITERACY; MODEL;
D O I
10.1016/j.tele.2024.102197
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Older adults are vulnerable to online health misinformation. This study fills a research gap by exposing older adults to a mixture of health-related misinformation and factual information and employing the think-aloud protocol in a semi-structured interview to understand information processing and evaluation in the moment of information engagement. The participants were categorized into two groups based on their abilities to discern misinformation. Via thematic analysis, we compared the two groups and found distinctive information processing patterns between them. We propose guidelines for evaluating online misinformation based on the best practices of those who have a high capacity to discern the veracity of the information and pitfalls to avoid based on the experience of those who failed to correctly differentiate true and misinformation.
引用
收藏
页数:20
相关论文
共 84 条
  • [11] Braun V, 2012, APA HDB RES METHODS, P57, DOI DOI 10.1037/13620-004
  • [12] Braun V., 2006, QUAL RES PSYCHOL, V3, P77, DOI [DOI 10.1080/14780887.2020.1769238, 10.1191/1478088706qp063oa]
  • [14] Online panels in social science research: Expanding sampling methods beyond Mechanical Turk
    Chandler, Jesse
    Rosenzweig, Cheskie
    Moss, Aaron J.
    Robinson, Jonathan
    Litman, Leib
    [J]. BEHAVIOR RESEARCH METHODS, 2019, 51 (05) : 2022 - 2038
  • [15] Persuasion strategies of misinformation-containing posts in the social media
    Chen, Sijing
    Xiao, Lu
    Mao, Jin
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2021, 58 (05)
  • [16] Tracking the Influence of Misinformation on Elderly People's Perceptions and Intention to Accept COVID-19 Vaccines
    Chia, Stella C.
    Lu, Fangcao
    Sun, Yanqing
    [J]. HEALTH COMMUNICATION, 2023, 38 (05) : 855 - 865
  • [17] Older adults' credibility assessment of online health information: An exploratory study using an extended typology of web credibility
    Choi, Wonchan
    [J]. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2020, 71 (11) : 1295 - 1307
  • [18] Where We Go From Here: Health Misinformation on Social Media
    Chou, Wen-Ying Sylvia
    Gaysynsky, Anna
    Cappella, Joseph N.
    [J]. AMERICAN JOURNAL OF PUBLIC HEALTH, 2020, 110 : S273 - S275
  • [19] Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study
    Choudrie, Jyoti
    Banerjee, Snehasish
    Kotecha, Ketan
    Walambe, Rahee
    Karende, Hema
    Ameta, Juhi
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2021, 119
  • [20] COVID-19 infodemic and digital health literacy in vulnerable populations: A scoping review
    Choukou, Mohamed-Amine
    Sanchez-Ramirez, Diana C.
    Pol, Margriet
    Uddin, Mohy
    Monnin, Caroline
    Syed-Abdul, Shabbir
    [J]. DIGITAL HEALTH, 2022, 8