Personality traits, basic individual values and GMO risk perception of twitter users

Whittingham, Nathaniel; Boecker, Andreas; Grygorczyk, Alexandra

doi:10.1080/13669877.2019.1591491

Cited by 13 publications

(12 citation statements)

References 49 publications

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“…In studies examining the relationship between attitudes to GMO and values in accordance with Schwartz value theory, 37 attitudes to GMO have been shown to be positively influenced by ‘power’ (self-enhancement) 46 and negatively influenced by values related to responsibility for nature and the welfare of others (self-transcendence values. 87 , 88 , 89 Whittingham et al, 90 identified a similar pattern in a study examining how values affect the perceived safety of GM food. This suggests that consumers who are positive to GMO are guided by the value ‘power’, which is defined by markers such as social status and prestige, control and dominance over people and resources.…”

Section: Values and Attitudes To Gmo And Conventional Plant Breedingmentioning

confidence: 79%

Swedish consumers´ attitudes and values to genetic modification and conventional plant breeding – The case of fruit and vegetables

2021

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This study examined public attitudes to genetic modification (GM) and conventional plant breeding and explored general differences in attitudes to these two types of breeding concepts, including the effect of individual personal characteristics such as gender and age. It also sought to identify the influence of personal values linked to attitudes to GM crops and conventional plant breeding, following Schwartz value theory. Relations between specific values and attitudes to GM organisms (GMOs) have been studied previously, but not gender-and age-specific relations between specific values and attitudes to conventional plant breeding. Data were collected in this study using a questionnaire completed on-line by 1500 Swedish consumers in 2019. The questionnaire covered three different aspects: 1) sociodemographic data, including gender and age; 2) attitudes to GMO/ conventional plant breeding; and 3) values, measured using the human values scale. It was found that consumers expressed more positive attitudes to conventional plant breeding than to GMO, men expressed more positive attitudes to both conventional plant breeding and GMO than women did, and younger consumers expressed more positive attitudes to GMO than older consumers did. A negative correlation between attitudes to conventional plant breeding and the value 'tradition', but no correlation to 'universalism', 'benevolence', 'power' or 'achievement', was identified for men. For women, correlations between attitudes to conventional plant breeding and 'benevolence' (neg.) and 'achievement' (pos.) were found. For both men and women, attitudes to GMO were negatively influenced by 'universalism' and 'benevolence', and positively influenced by 'power' and 'achievement'. The implications of these results are discussed.

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Section: Values and Attitudes To Gmo And Conventional Plant Breedingmentioning

confidence: 79%

Swedish consumers´ attitudes and values to genetic modification and conventional plant breeding – The case of fruit and vegetables

2021

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“…Here, online AI services can be useful; the personality of an author can be estimated based on the text that he or she wrote. Previous studies reported that personality can be judged with equal or even more accuracy by analyzing web-logs using computers than by human observers [ 22 , 23 , 55 , 56 ], and many studies have judged the personality of authors of various texts using online AI services [ 12 , 24 , 25 , 27 , 28 ]. In the line of this research, the present study measured the personality of organizational Instagram accounts using an online AI service and investigated how their personality is related to the features of their photos at content and pixel levels.…”

Section: Related Workmentioning

confidence: 99%

“…In addition, the present research utilized an online artificial intelligence (AI) service to measure the personality of organizational accounts using the text part of posts uploaded on the accounts. This method of measuring personality using online data is reported to be the same or more accurate than using self-reported data [ 22 , 23 ] and has been used in previous research [ 12 , 24 , 25 , 26 , 27 , 28 ]. Another objective of this study was to investigate how the uploaded photos are different in terms of their high- and low-level features by the accounts’ personality.…”

Section: Introductionmentioning

confidence: 99%

Personality of Public Health Organizations’ Instagram Accounts and According Differences in Photos at Content and Pixel Levels

Kim

Lee

2021

IJERPH

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Organizations maintain social media accounts and upload posts to show their activities and communicate with the public, as individual users do. Thus, organizations’ social media accounts can be examined from the same perspective of that of individual users’ accounts, with personality being one of the perspectives. In line with previous studies that analyzed the personality of non-human objects such as products, stores, brands, and websites, this study analyzed the personality of Instagram accounts of public health organizations. It also extracted features at content and pixel levels from the photos uploaded on the organizations’ accounts and examined how they were related to the personality traits of the accounts. The results suggested that the personality of public health organizations can be summarized as being high in openness and agreeableness but lower in extraversion and neuroticism. Openness and agreeableness were the personality traits associated the most with the content-level features, while extraversion and neuroticism were the ones associated the most with the pixel-level features. In addition, for each of the two traits associated the most with either the content- or pixel- level features, their associations tended to be in opposite directions with one another. The personality traits, except for neuroticism, were predicted from the photo features with an acceptable level of accuracy.

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“…IBM PI was validated with over 1500 survey responses reporting 0.09 as the average Mean Square Error and 0.31 as the correlation between inferred and actual scores and the latest version of the service reportedly outperformed the LIWC-based earlier versions [47]. An increasing number of studies in accounting, finance and management have adopted IBM PI to extract personality traits of CEOs, CFOs and the public [51].…”

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confidence: 99%

Digital Entrepreneurs in Artificial Intelligence and Data Analytics: Who Are They?

Chae

Goh

2020

Journal of Open Innovation: Technology, Market, and Complexity

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Digital technologies are key resources for entrepreneurial activities and there is great interest in digital entrepreneurship. While much research has focused on the role of digital technologies in entrepreneurship and how they are shaping the field, there has been relatively little research on those key players of digital entrepreneurship. Using data from Crunchbase and Twitter API and a learning machine, this study attempts to answer the question of “who are digital entrepreneurs?” This study reports that digital entrepreneurs in the artificial intelligence and data analytics (AIDA) industry are more likely to be male and to be active and connected online than non-digital entrepreneurs. In addition, they tend to be more extroverted and less conscientious and agreeable than other, non-digital, entrepreneurs. Our findings help to develop a clearer picture of digital entrepreneurs, which would be of great interest to investors, policy makers, current and future digital entrepreneurs and educators.

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Personality traits, basic individual values and GMO risk perception of twitter users

Cited by 13 publications

References 49 publications

Swedish consumers´ attitudes and values to genetic modification and conventional plant breeding – The case of fruit and vegetables

Swedish consumers´ attitudes and values to genetic modification and conventional plant breeding – The case of fruit and vegetables

Personality of Public Health Organizations’ Instagram Accounts and According Differences in Photos at Content and Pixel Levels

Digital Entrepreneurs in Artificial Intelligence and Data Analytics: Who Are They?

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