Addressing infodemic through the comprehensive competency framework of media and information literacy

Toquero, Cathy Mae Dabi

doi:10.1093/pubmed/fdab412

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…Conversely, a good level of media literacy facilitates critical evaluation and accurate interpretation of media information, thereby fostering critical thinking and creativity. 20 – 22 In the COVID-19 pandemic, media literacy can help respond to information epidemics for more reliable information, and public media literacy has become more important than ever at this time. 23 …”

Section: Introductionmentioning

confidence: 99%

Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study

Li,

Zhang,

Liang

et al. 2023

DIGITAL HEALTH

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Background The media play an important role in health promotion and disease prevention, while at the same time, a variety of mixed health messages in the media are beginning to pose new challenges to them. However, there is a lack of media health literacy (MHL) assessment tools in China. Therefore, the purpose of this study was to translate the Media Health Literacy (MeHLit) questionnaire into Chinese and to assess its psychometric properties. Methods This cross-sectional study was conducted from October to December 2022, and a methodological study of the translation and validation of the MeHLit questionnaire was conducted. Results As a result of an extensive translation and cultural adaptation process, the final MeHLit questionnaire was developed, which includes five dimensions and 21 items. Cronbach's α value of the questionnaire was 0.859, and Cronbach's α value of the dimensions ranged from 0.776 to 0.911, which is fairly good. As a result, the test–retest reliability coefficient and the split-half reliability coefficient of the questionnaire are both equal to 0.907. Its content validity index was 0.946, suggesting a reasonable level of content validity. Through exploratory factor analysis, a five-factor structure was identified based on the eigenvalues, total variance explained, and scree plot. As a result of the validation factor analysis, all recommended fit indicators were appropriate. Conclusion The Chinese version of the MeHLit questionnaire has been successfully introduced in China. It has shown good psychometric properties among the Chinese public and can be used as a tool to evaluate MHL in health screening.

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Section: Introductionmentioning

confidence: 99%

Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study

Li,

Zhang,

Liang

et al. 2023

DIGITAL HEALTH

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show abstract

Section: Introductionmentioning

confidence: 99%

“…16,17 Consequently, media literacy simplifies tasks like sourcing authentic health information, 18,19 identifying symptoms, 20 preventing behaviors like smoking, 21 and promoting sexual health awareness and education. [22][23][24][25][26] Media health literacy (MHL) 27 is the amalgamation of media literacy and health literacy, which considers the significance of digital media and health knowledge. It encompasses both locating health-related content in media and discerning implicit and explicit media content's impact on health.…”

Section: Introductionmentioning

confidence: 99%

A mobile-based educational intervention on media health literacy: A quasi-experimental study

Nazarnia,

Zarei,

Roozbahani

2023

Health Promot Perspect

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Background: Health misinformation on social media is a persistent public health concern that requires the proper skill set for interpreting and evaluating accurate information. This study aimed to determine the effects of a mobile app-based educational intervention on media health literacy (MHL) development among Iranian adults. Methods: This study was a quasi-experimental design conducted in 2022 that included 100 Iranian adults aged 18 to 65 years old. The inclusion criteria for participation were ownership of an Android smartphone, no prior training in MHL, and membership in at least one virtual social media app. As the primary outcome of the study, MHL was assessed using the validated MeHLit questionnaire with two follow-up time points (immediately after program completion and 12 weeks after program completion) in addition to a pre-test. Participants were divided into an experimental group that received the mobile app-based training program and a control group that received none. Results: The repeated measures test revealed a significant effect of the group-time interaction on the mean MHL score in both the intervention and control groups. Within the intervention group, the follow-up test indicated a significant increase in mean MHL scores for post-test 1 (63.54±12.57) and post-test 2 (65.72±7.97) compared to the pre-test phase (55.14±12.04), with these increases being statistically significant (P<0.001). No significant difference was observed within the control group. Conclusion: The results of this study suggest that the mobile app-based educational intervention was effective in improving MHL among Iranian adults. These findings highlight the potential of mobile app-based interventions for promoting MHL and addressing health misinformation on social media.

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“…However, many mathematicians believe that competence refers to some abilities that a certain type of staff has based on job requirements, job task requirements, industry norms, etc. In the research of competency model, foreign scholars have made great achievements, put forward the iceberg model, and tried to apply it to practical activities [24][25][26][27]. In terms of determining the dimensions of competency models, many scholars have created many new competency models based on existing theories.…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Post Competency Evaluation Model in Human Resource Management under the Background of Artificial Intelligence

Zhang

Yuan

2022

Mathematical Problems in Engineering

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In order to evaluate the competence of candidates in human resource management and select the most suitable talents, the behavior time interview method is used to build a personnel competency model, and various competency indicators are determined. According to the existing mature traditional analysis methods, we calculate the weight of each index and give the competency score. Based on the traditional competency model, the parameters of the training content of BP neural network are obtained. After the training results are tested, a new competency evaluation model based on artificial intelligence is proposed. The results show that the relative error between the model training results and the expected output is very small, the maximum value is −0.12%, and the maximum relative error between the output value obtained by BP neural network and the expected value is 3.8%. Therefore, the personnel competency model based on BP neural network constructed in this paper has accurate calculation results, and its application in the company’s human resource management is feasible and has strong applicability.

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Addressing infodemic through the comprehensive competency framework of media and information literacy

Cited by 7 publications

References 4 publications

Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study

Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study

A mobile-based educational intervention on media health literacy: A quasi-experimental study

Multi-Dimensional Post Competency Evaluation Model in Human Resource Management under the Background of Artificial Intelligence

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