Fitter frogs from polluted ponds: the complex impacts of human‐altered environments. Steven P. Brady et al. Evolutionary Applications, https://doi.org/10.1111/eva.12751
Abstract: Human‐modified habitats rarely yield outcomes that are aligned with conservation ideals. Landscapes that are subdivided by roads are no exception, precipitating negative impacts on populations due to fragmentation, pollution, and road kill. Although many populations in human‐modified habitats show evidence for local adaptation, rarely does environmental change yield outright benefits for populations of conservation interest. Contrary to expectations, we report surprising benefits experienced by amphibian populations breeding and dwelling in proximity to roads. We show that roadside populations of the wood frog, Rana sylvatica, exhibit better locomotor performance and higher measures of traits related to fitness compared with frogs from less disturbed environments located further away from roads. These results contrast previous evidence for maladaptation in roadside populations of wood frogs studied elsewhere. Our results indicate that altered habitats might not be unequivocally detrimental, and at times might contribute to metapopulation success. While the frequency of such beneficial outcomes remains unknown, their occurrence underscores the complexity of inferring consequences of environmental change.
Thursday, December 13, 2018
The smartphone is the closest device to us, above classmates, colleagues, flatmates; trust & preoccupation mediate the relationship between closeness to the smartphone & stress and coping
Smartphones as digital companions: Characterizing the relationship between users and their phones. Astrid Carolus et al. New Media & Society, https://doi.org/10.1177/1461444818817074
Abstract: Based on the idea of computers constituting social agents and referring to core characteristics of human–human relationships, this study introduces the concept of a digital companionship between smartphone users and their devices. Constituting characteristics (closeness, trust, preoccupation) and outcomes (stress, coping with stress) of social relationships were adapted to yield a model of human–smartphone relationships for empirical testing. A cross-national sample of participants (n = 1156) completed an online study, which included self-report measures as well as a newly developed instrument (Positioning Others and Devices [POD]) assessing the closeness to technical devices and social actors. Results showed the smartphone to be the closest device. Furthermore, structural equation modeling lent support for the theoretical model indicating that trust and preoccupation mediate the relationship between closeness to the smartphone and stress and coping. Findings support the concept of companionship as a fruitful approach to explain smartphone-related behaviors.
Keywords: Digital companion, human–smartphone relationship, mobile devices, relationship, smartphone
Abstract: Based on the idea of computers constituting social agents and referring to core characteristics of human–human relationships, this study introduces the concept of a digital companionship between smartphone users and their devices. Constituting characteristics (closeness, trust, preoccupation) and outcomes (stress, coping with stress) of social relationships were adapted to yield a model of human–smartphone relationships for empirical testing. A cross-national sample of participants (n = 1156) completed an online study, which included self-report measures as well as a newly developed instrument (Positioning Others and Devices [POD]) assessing the closeness to technical devices and social actors. Results showed the smartphone to be the closest device. Furthermore, structural equation modeling lent support for the theoretical model indicating that trust and preoccupation mediate the relationship between closeness to the smartphone and stress and coping. Findings support the concept of companionship as a fruitful approach to explain smartphone-related behaviors.
Keywords: Digital companion, human–smartphone relationship, mobile devices, relationship, smartphone
Wednesday, December 12, 2018
Previous research has established a left cheek bias in photos uploaded to social media; it seems that really left cheek poses garner more likes
Left cheek poses garner more likes: the effect of pose orientation on Instagram engagement. Annukka K. Lindell. Laterality: Asymmetries of Body, Brain and Cognition, https://doi.org/10.1080/1357650X.2018.1556278
ABSTRACT: In social media’s attention economy “likes” are currency; photos showing faces attract more “likes.” Previous research has established a left cheek bias in photos uploaded to social media, but whether left cheek poses induce more engagement than right cheek poses remains to be determined. The present study thus examined whether pose orientation influences the number of “likes” and comments garnered by photos uploaded to Instagram. The top 20 single-user Instagram accounts were identified, and the most recent 10 left and 10 right cheek images were selected, resulting in a total of 400 images. The number of “likes” and comments were tallied for each image, netting over 1 billion “likes” and 14 million comments for analysis. Results confirmed that pose orientation influences audience engagement: left cheek poses garner >10% more “likes” than right cheek poses. Gender did not influence “likes”. Comments were not affected by either pose orientation or gender, likely reflecting the different levels of effort and motivations involved in “liking” vs. commenting on an image. These data indicate that a seemingly inconsequential turn of the head profoundly impacts audience engagement: left cheek poses gained >330,000 more “likes”, offering clear implications for marketers and others in the social media economy.
KEYWORDS: Left, right, emotion, photo, portrait, social media, Instagram
ABSTRACT: In social media’s attention economy “likes” are currency; photos showing faces attract more “likes.” Previous research has established a left cheek bias in photos uploaded to social media, but whether left cheek poses induce more engagement than right cheek poses remains to be determined. The present study thus examined whether pose orientation influences the number of “likes” and comments garnered by photos uploaded to Instagram. The top 20 single-user Instagram accounts were identified, and the most recent 10 left and 10 right cheek images were selected, resulting in a total of 400 images. The number of “likes” and comments were tallied for each image, netting over 1 billion “likes” and 14 million comments for analysis. Results confirmed that pose orientation influences audience engagement: left cheek poses garner >10% more “likes” than right cheek poses. Gender did not influence “likes”. Comments were not affected by either pose orientation or gender, likely reflecting the different levels of effort and motivations involved in “liking” vs. commenting on an image. These data indicate that a seemingly inconsequential turn of the head profoundly impacts audience engagement: left cheek poses gained >330,000 more “likes”, offering clear implications for marketers and others in the social media economy.
KEYWORDS: Left, right, emotion, photo, portrait, social media, Instagram
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