Contribution of Mindfulness to Individuals' Tendency to Believe and Share Social Media Content

2020 ◽  
pp. 858-878
Author(s):  
Peerayuth Charoensukmongkol
Keyword(s):  
College Students ◽  
Social Media ◽  
Regression Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Media Content ◽  
Positive Contribution ◽  
Full Time ◽  
Direct Link ◽  
Least Squares Regression

The objective of this research was to explore the effect of mindfulness on individuals' tendencies to believe social media content and share it without realizing the potential consequences. The sample used in this study comprised 300 participants in Bangkok, Thailand, of whom 157 were full-time employees and 143 were college students. Results from partial least squares regression analysis supports the hypothesis that individuals who exhibit higher levels of mindfulness tend to be skeptical of the validity of information to which they are exposed. In addition, skepticism is linked to a decreased tendency to believe social media content and to share content on social media. The findings further support a direct link between mindfulness and a decreased tendency to share social media content. Overall, these findings confirm the positive contribution of mindfulness as a quality that may allow individuals to question the validity of social media content before they decide to believe it and share it with others.

Contribution of Mindfulness to Individuals' Tendency to Believe and Share Social Media Content

2020 ◽  
pp. 216-235
Author(s):  
Peerayuth Charoensukmongkol
Keyword(s):  
College Students ◽  
Social Media ◽  
Regression Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Media Content ◽  
Positive Contribution ◽  
Full Time ◽  
Direct Link ◽  
Least Squares Regression

The objective of this research was to explore the effect of mindfulness on individuals' tendencies to believe social media content and share it without realizing the potential consequences. The sample used in this study comprised 300 participants in Bangkok, Thailand, of whom 157 were full-time employees and 143 were college students. Results from partial least squares regression analysis supports the hypothesis that individuals who exhibit higher levels of mindfulness tend to be skeptical of the validity of information to which they are exposed. In addition, skepticism is linked to a decreased tendency to believe social media content and to share content on social media. The findings further support a direct link between mindfulness and a decreased tendency to share social media content. Overall, these findings confirm the positive contribution of mindfulness as a quality that may allow individuals to question the validity of social media content before they decide to believe it and share it with others.

Contribution of Mindfulness to Individuals' Tendency to Believe and Share Social Media Content

2016 ◽  
Vol 12 (3) ◽  
pp. 47-63 ◽  
Author(s):  
Peerayuth Charoensukmongkol
Keyword(s):  
College Students ◽  
Social Media ◽  
Regression Analysis ◽  
Least Squares ◽  
Partial Least Squares Regression ◽  
Media Content ◽  
Positive Contribution ◽  
Full Time ◽  
Direct Link ◽  
Least Squares Regression

The objective of this research was to explore the effect of mindfulness on individuals' tendencies to believe social media content and share it without realizing the potential consequences. The sample used in this study comprised 300 participants in Bangkok, Thailand, of whom 157 were full-time employees and 143 were college students. Results from partial least squares regression analysis supports the hypothesis that individuals who exhibit higher levels of mindfulness tend to be skeptical of the validity of information to which they are exposed. In addition, skepticism is linked to a decreased tendency to believe social media content and to share content on social media. The findings further support a direct link between mindfulness and a decreased tendency to share social media content. Overall, these findings confirm the positive contribution of mindfulness as a quality that may allow individuals to question the validity of social media content before they decide to believe it and share it with others.

Are information quality and source credibility really important for shared content on social media?

2019 ◽  
Vol 31 (1) ◽  
pp. 513-534 ◽  
Author(s):  
Bekir Bora Dedeoglu
Keyword(s):  
Social Media ◽  
Least Squares ◽  
Partial Least Squares ◽  
Information Quality ◽  
Source Credibility ◽  
Positive Impact ◽  
Media Content ◽  
Content Type ◽  
Predictive Variables ◽  
Shared Content

Purpose This paper aims to first examine tourists’ perceptions of the source credibility and information quality of social media content to see whether they would have an impact on their perceptions of the importance of shared content on social media. The moderating role of gender in this relationship was then examined. Design/methodology/approach The research sample was composed of domestic and foreign tourists in Alanya, an important tourist destination in Turkey. The data in the current study were collected by the questionnaire method. The structural relationships in the research were examined using the partial least squares structural equation modeling, and the moderating effect of gender was examined via the partial least squares multiple group analysis. Findings According to the research findings, tourists’ perceptions of source credibility regarding social media content had a positive impact on the importance attached to non-participant shared content, whereas their perceptions of information quality had a positive impact on the importance attached to participant shared content. Furthermore, it was also observed that gender had a moderating effect on the relationship between information quality and source credibility perceptions and the importance of shared content on social media. Originality/value Two important predictive variables have been examined in the current research in term of customer-generated contents. It has been demonstrated that the effects of these predictive variables on different customer-generated types could be different. Furthermore, it has been determined that the effects of these influences differ according to the gender of the individuals following the content. Thus, the current study provides significant findings to understand the impacts of these variables on the basis of gender.

scholarly journals Method Validation for Detection and Quantification of Cocoa Butter Equivalents in Cocoa Butter and Plain Chocolate

2004 ◽  
Vol 87 (5) ◽  
pp. 1164-1172 ◽  
Author(s):  
Manuela Buchgraber ◽  
Franz Ulberth ◽  
Elke Anklam ◽  
H Bernaert ◽  
B Cleenewerck ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cocoa Butter ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Fat Content ◽  
Cocoa Butter Equivalent ◽  
Least Squares Regression ◽  
Cocoa Butter Equivalents ◽  
Detection And Quantification

Abstract A European interlaboratory study was conducted to validate an analytical procedure for the detection and quantification of cocoa butter equivalents in cocoa butter and plain chocolate. In principle, the fat obtained from plain chocolate according to the Soxhlet principle is separated by high-resolution capillary gas chromatography into triacylglycerol fractions according to their acyl-C-numbers, and within a given number, also according to unsaturation. The presence of cocoa butter equivalents is detected by linear regression analysis applied to the relative proportions of the 3 main triacylglycerol fractions of the fat analyzed. The amount of the cocoa butter equivalent admixture is estimated by partial least-squares regression analysis applied to the relative proportions of the 5 main triacylglycerols. Cocoa butter equivalent admixtures were detected down to a level of 2% related to the fat phase, corresponding to 0.6% in chocolate (assumed fat content of chocolate, 30%), without false-positive or -negative results. By using a quantification model based on partial least-squares regression analysis, the predicted cocoa butter equivalent amounts were in close agreement with the actual values. The applied model performed well at the level of the statutory limit of 5% cocoa butter equivalent addition to chocolate with a prediction error of 0.6%, assuming a chocolate fat content of 30%.

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