Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
LanguageLanguage
-
SubjectSubject
-
Item TypeItem Type
-
DisciplineDiscipline
-
YearFrom:-To:
-
More FiltersMore FiltersIs Peer Reviewed
Done
Filters
Reset
15,626
result(s) for
"Mass media images"
Sort by:
A Biopsychosocial Model of Social Media Use and Body Image Concerns, Disordered Eating, and Muscle-Building Behaviors among Adolescent Girls and Boys
by
Jarman, Hannah K
,
Slater, Amy
,
Gordon, Chloe S
in
Adolescent girls
,
Adolescents
,
Behavior modification
2020
Social media use is associated with body image concerns, disordered eating and body change behaviors in adolescents. This study aimed to examine these relationships within a biopsychosocial framework and test an integrated model. A sample of 681 adolescents (49% female), mean age = 12.76 years (SD = 0.74), completed a questionnaire assessing social media use, depression, self-esteem, body mass index, social media and muscular ideal internalization, appearance comparison, body dissatisfaction, disordered eating, and muscle-building behaviors. Path analysis was used to test the hypothetical model, which after modification revealed good fit to the data, although gender differences emerged. The findings suggest that biopsychosocial frameworks are useful for conceptualizing relationships between social media use and body image, eating, and muscle building outcomes.
Journal Article
“Fitspiration” on Social Media: A Content Analysis of Gendered Images
by
Carrotte, Elise Rose
,
Prichard, Ivanka
,
Lim, Megan Su Cheng
in
Body image
,
Body Image - psychology
,
Content analysis
2017
\"Fitspiration\" (also known as \"fitspo\") aims to inspire individuals to exercise and be healthy, but emerging research indicates exposure can negatively impact female body image. Fitspiration is frequently accessed on social media; however, it is currently unclear the degree to which messages about body image and exercise differ by gender of the subject.
The aim of our study was to conduct a content analysis to identify the characteristics of fitspiration content posted across social media and whether this differs according to subject gender.
Content tagged with #fitspo across Instagram, Facebook, Twitter, and Tumblr was extracted over a composite 30-minute period. All posts were analyzed by 2 independent coders according to a codebook.
Of the 415/476 (87.2%) relevant posts extracted, most posts were on Instagram (360/415, 86.8%). Most posts (308/415, 74.2%) related thematically to exercise, and 81/415 (19.6%) related thematically to food. In total, 151 (36.4%) posts depicted only female subjects and 114/415 (27.5%) depicted only male subjects. Female subjects were typically thin but toned; male subjects were often muscular or hypermuscular. Within the images, female subjects were significantly more likely to be aged under 25 years (P<.001) than the male subjects, to have their full body visible (P=.001), and to have their buttocks emphasized (P<.001). Male subjects were more likely to have their face visible in the post (P=.005) than the female subjects. Female subjects were more likely to be sexualized than the male subjects (P=.002).
Female #fitspo subjects typically adhered to the thin or athletic ideal, and male subjects typically adhered to the muscular ideal. Future research and interventional efforts should consider the potential objectifying messages in fitspiration, as it relates to both female and male body image.
Journal Article
The Development of Children's Gender-Science Stereotypes: A Meta-analysis of 5 Decades of U.S. Draw-A-Scientist Studies
by
Uttal, David H.
,
Miller, David I.
,
Eagly, Alice H.
in
Age Differences
,
Child development
,
Children
2018
This meta-analysis, spanning 5 decades of Draw-A-Scientist studies, examined U.S. children's gender-science stereotypes linking science with men. These stereotypes should have weakened over time because women's representation in science has risen substantially in the United States, and mass media increasingly depict female scientists. Based on 78 studies (N = 20,860; grades K-12), children's drawings of scientists depicted female scientists more often in later decades, but less often among older children. Children's depictions of scientists therefore have become more gender diverse over time, but children still associate science with men as they grow older. These results may reflect that children observe more male than female scientists in their environments, even though women's representation in science has increased over time.
Journal Article
Representing the \European refugee crisis\ in Germany and beyond: Deservingness and difference, life and death
2016
The European refugee crisis has gained worldwide attention with daily media coverage both in and outside Germany. Representations of refugees in media and political discourse in relation to Germany participate in a Gramscian “war of position” over symbols, policies, and, ultimately, social and material resources, with potentially fatal consequences. These representations shift blame from historical, political‐economic structures to the displaced people themselves. They demarcate the “deserving” refugee from the “undeserving” migrant and play into fear of cultural, religious, and ethnic difference in the midst of increasing anxiety and precarity for many in Europe. Comparative perspectives suggest that anthropology can play an important role in analyzing these phenomena, highlighting sites of contestation, imagining alternatives, and working toward them. [refugee, media, immigration, crisis, Germany, Europe]
Journal Article
Reassembling the city through Instagram
2017
How do people represent the city on social media? And how do these representations feed back into people's uses of the city? To answer these questions, we develop a relational approach that relies on a combination of qualitative methods and network analysis. Based on in-depth interviews and a dataset of over 400 000 geotagged Instagram posts from Amsterdam, we analyse how the city is reassembled on and through the platform. By selectively drawing on the city, users of the platform elevate exclusive and avant-garde establishments and events, which come to stand out as hot spots, while rendering mundane and low-status places invisible. We find that Instagram provides a space for the segmentation of users into subcultural groups that mobilise the city in varied ways. Social media practices, our findings suggest, feed on as well as perpetuate socio-spatial inequalities.
Journal Article
Figures of Crisis
2018
This article examines how borders are discursively reproduced in representations of the ‘refugee crisis’ in the German media. Based on an extensive content and discourse analysis of German press representations in 2015 and 2016, we argue that the discourse of crisis obscures the reasons for migration and instead shifts the focus to the advantages and disadvantages that refugees are assumed to bring to their host country. More specifically, we contend that press discourses construct a figure of the (un)deserving refugee around three key themes: economic productivity; state security; and gender relations. In doing so, we illustrate how the framing of some lives as more deserving of protection than others directly mirrors and extends the humanitarian securitization of borders into public discourse.
Journal Article
Comparative analysis of deep learning image detection algorithms
by
Srivastava, Shrey
,
Divekar, Amit Vishvas
,
Anilkumar, Chandu
in
Algorithms
,
Artificial neural networks
,
Big Data
2021
A computer views all kinds of visual media as an array of numerical values. As a consequence of this approach, they require image processing algorithms to inspect contents of images. This project compares 3 major image processing algorithms: Single Shot Detection (SSD), Faster Region based Convolutional Neural Networks (Faster R-CNN), and You Only Look Once (YOLO) to find the fastest and most efficient of three. In this comparative analysis, using the Microsoft COCO (Common Object in Context) dataset, the performance of these three algorithms is evaluated and their strengths and limitations are analysed based on parameters such as accuracy, precision and F1 score. From the results of the analysis, it can be concluded that the suitability of any of the algorithms over the other two is dictated to a great extent by the use cases they are applied in. In an identical testing environment, YOLO-v3 outperforms SSD and Faster R-CNN, making it the best of the three algorithms.
Journal Article
Mimicking associative learning using an ion-trapping non-volatile synaptic organic electrochemical transistor
by
Chan, Paddy K. L.
,
Paulsen, Bryan D.
,
Yin, Yuyang
in
639/166/987
,
639/301/1005/1007
,
Adaptability
2021
Associative learning, a critical learning principle to improve an individual’s adaptability, has been emulated by few organic electrochemical devices. However, complicated bias schemes, high write voltages, as well as process irreversibility hinder the further development of associative learning circuits. Here, by adopting a poly(3,4-ethylenedioxythiophene):tosylate/Polytetrahydrofuran composite as the active channel, we present a non-volatile organic electrochemical transistor that shows a write bias less than 0.8 V and retention time longer than 200 min without decoupling the write and read operations. By incorporating a pressure sensor and a photoresistor, a neuromorphic circuit is demonstrated with the ability to associate two physical inputs (light and pressure) instead of normally demonstrated electrical inputs in other associative learning circuits. To unravel the non-volatility of this material, ultraviolet-visible-near-infrared spectroscopy, X-ray photoelectron spectroscopy and grazing-incidence wide-angle X-ray scattering are used to characterize the oxidation level variation, compositional change, and the structural modulation of the poly(3,4-ethylenedioxythiophene):tosylate/Polytetrahydrofuran films in various conductance states. The implementation of the associative learning circuit as well as the understanding of the non-volatile material represent critical advances for organic electrochemical devices in neuromorphic applications.
Organic transistors that can simulate basic synaptic functions and act as biomimetic devices are advantageous for next generation bioelectronics. Here, the authors realize non-volatile organic electrochemical transistors with optimized performance required for associative learning circuits.
Journal Article
A Paper Ceiling: Explaining the Persistent Underrepresentation of Women in Printed News
by
Shor, Eran
,
Skiena, Steven
,
Kulkarni, Vivek
in
Bias
,
Conservatism
,
Disproportionate Representation
2015
In the early twenty-first century, women continue to receive substantially less media coverage than men, despite women's much increased participation in public life. Media scholars argue that actors in news organizations skew news coverage in favor of men and male-related topics. However, no previous study has systematically examined whether such media bias exists beyond gender ratio imbalances in coverage that merely mirror societal-level structural and occupational gender inequalities. Using novel longitudinal data, we empirically isolate medialevel factors and examine their effects on women's coverage rates in hundreds of newspapers. We find that societal-level inequalities are the dominant determinants of continued gender differences in coverage. The media focuses nearly exclusively on the highest strata of occupational and social hierarchies, in which women's representation has remained poor. We also find that women receive greater exposure in newspaper sections led by female editors, as well as in newspapers whose editorial boards have higher female representation. However, these differences appear to be mostly correlational, as women's coverage rates do not noticeably improve when male editors are replaced by female editors in a given newspaper.
Journal Article
cutting: Non-suicidal self-injury (NSSI) on Instagram
2018
Social media presents an important means for social interaction, especially among adolescents, with Instagram being the most popular platform in this age-group. Pictures and communication about non-suicidal self-injury (NSSI) can frequently be found on the internet.
During 4 weeks in April 2016, n = 2826 (from n = 1154 accounts) pictures which directly depicted wounds on Instagram were investigated. Those pictures, associated comments, and user accounts were independently rated for content. Associations between characteristics of pictures and comments as well as weekly and daily trends of posting behavior were analyzed.
Most commonly, pictures depicted wounds caused by cutting on arms or legs and were rated as mild or moderate injuries. Pictures with increasing wound grades and those depicting multiple methods of NSSI generated elevated amounts of comments. While most comments were neutral or empathic with some offering help, few comments were hostile. Pictures were mainly posted in the evening hours, with a small peak in the early morning. While there was a slight peak of pictures being posted on Sundays, postings were rather evenly spread across the week.
Pictures of NSSI are frequently posted on Instagram. Social reinforcement might play a role in the posting of more severe NSSI pictures. Social media platforms need to take appropriate measures for preventing online social contagion.
Journal Article