| Literature DB >> 35496237 |
Xiao Zhang1, Shamim Akhter2, Abdelmohsen A Nassani3, Mohamed Haffar4.
Abstract
In this global village, easy access to news has resulted in many changes in the preferences and patterns of people for accessing news. Therefore, the present study has attempted to investigate the effects of news relevance, perceived quality, and news overloading on people's news curation preferences. This study has also examined the mediating role of news avoidance between the news relevance, perceived quality, and news overloading on the news curation. A quantitative technique has been employed to check the relationships proposed in the study. A sample size of 217 has been analyzed to check these hypotheses. The findings of the study revealed that news relevance has a negative impact while news overload positively and significantly impact the news curation. However, the news avoidance only mediated the relationship of news quality and news curation. Theoretically, the study has contributed to the literature of journalism and social media by finding that relevance of news has a negative significant impact on the news curation behavior of people, such that if they do not find the news relevant, they happily curate it. Practically, the study implies that the people are more prone to the quality of news rather than quantity; therefore, it is important for the news agencies to ensure that they produce and deliver the quality based news considering the accuracy to penetrate the Theoretic lass level.Entities:
Keywords: media strategies; news avoid; news curation; news overload; quantitative approach
Year: 2022 PMID: 35496237 PMCID: PMC9039232 DOI: 10.3389/fpsyg.2022.865246
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Conceptual framework.
Demographics analysis.
| Demographics | Frequency | Percentage |
|
| ||
| Male | 172 | 79.26% |
| Female | 45 | 20.73% |
|
| ||
| 20 – 30 | 19 | 8.75% |
| 31 – 40 | 73 | 33.64% |
| 41 – 50 | 39 | 17.97% |
| Above 50 | 86 | 39.63% |
|
| ||
| Bachelors | 108 | 49.76% |
| Masters | 64 | 29.49% |
| Ph.D. and others | 45 | 20.73% |
N = 217.
FIGURE 2Output of measurement model. NA, news avoidance, NC, news curation, NO, news overload, NQ, perceived quality, NR, relevance of news.
Measurement model.
| Variables | Factor Loadings | VIF | Cronbach Alpha | Composite Reliability | AVE | |
| News avoidance | NA1 | 0.834 | 1.690 | |||
| NA2 | 0.870 | 2.033 |
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|
| |
| NA3 | 0.878 | 2.002 | ||||
| News curation | NC1 | 0.836 | 1.621 | |||
| NC2 | 0.865 | 1.848 |
|
|
| |
| NC3 | 0.822 | 1.635 | ||||
| News overload | NO1 | 0.816 | 2.541 | |||
| NO2 | 0.859 | 3.732 | ||||
| NO3 | 0.858 | 2.718 |
|
|
| |
| NO4 | 0.778 | 2.021 | ||||
| NO5 | 0.836 | 2.711 | ||||
| NO6 | 0.838 | 3.383 | ||||
| Perceived quality | NQ1 | 0.845 | 2.000 | |||
| NQ2 | 0.858 | 2.337 | ||||
| NQ3 | 0.863 | 2.244 |
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|
| |
| NQ4 | 0.851 | 2.168 | ||||
| Relevance of news | NR1 | 0.793 | 1.472 | |||
| NR2 | 0.866 | 1.752 |
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| NR3 | 0.818 | 1.567 | ||||
Bold values indicate that the results for corresponding statistics for the whole variable, not the items.
Discriminant validity (HTMT ratio).
| HTMT ratio | Fornell and Larcker criteria | ||||||||||
| NA | NC | NO | NQ | NR | NA | NC | NO | NQ | NR | ||
| NA |
|
| |||||||||
| NC | 0.602 |
| −0.488 |
| |||||||
| NO | 0.440 | 0.677 |
| 0.386 | −0.581 |
| |||||
| NQ | 0.515 | 0.589 | 0.649 |
| 0.440 | −0.493 | 0.584 |
| |||
| NR | 0.508 | 0.852 | 0.822 | 0.774 |
| 0.405 | −0.665 | 0.687 | 0.636 |
| |
NA, news avoidance, NC, news curation, NO, news overload, NQ, perceived quality, and NR, relevance of news.
Bold values indicate that the results are significant showing the highest value of each column at the top.
FIGURE 3Output of structural model bootstrapping. NA, news avoidance, NC, news curation, NO, news overload, NQ, perceived quality, NR, relevance of news.
Hypotheses testing.
| Paths | H | B | Inner VIF | Results | ||
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| ||||||
| NR → NC | H1 | −0.442 | 2.278 | 4.475 | 0.000 |
|
| NQ → NC | H2 | 0.002 | 1.899 | 0.020 | 0.984 | Rejected |
| NO →NC | H3 | −0.186 | 2.056 | 2.346 | 0.026 |
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|
| ||||||
| NR→ NA → NC | H4 | −0.030 | 1.016 | 0.324 | Rejected | |
| NQ → NA → NC | H5 | −0.066 | 2.221 | 0.027 |
| |
| NO → NA → NC | H6 | −0.030 | 0.993 | 0.321 | Rejected | |
N = 217, p* < 0.05, H, hypothesis, NA, news avoidance, NC, news curation, NO, news overload, NQ, perceived quality, NR, relevance of news.