scholarly journals Measuring the power consumption of social media applications on a mobile device

2018 ◽  
Vol 978 ◽  
pp. 012104 ◽  
Author(s):  
A I M Dunia ◽  
Suherman ◽  
A H Rambe ◽  
R Fauzi
Keyword(s):  
Social Media ◽  
Power Consumption ◽  
Mobile Device ◽  
Media Applications

Examining the accuracy of estimated smartphone use: How well-being and usage level predict discrepancies between estimated and actual use

2019 ◽  
Author(s):  
Craig Sewall ◽  
Daniel Rosen ◽  
Todd M. Bear
Keyword(s):  
Public Health ◽  
Social Media ◽  
Life Satisfaction ◽  
Mobile Device ◽  
Screen Time ◽  
Well Being ◽  
Actual Use ◽  
Smartphone Use ◽  
Usage Level

The increasing ubiquity of mobile device and social media (SM) use has generated a substantial amount of research examining how these phenomena may impact public health. Prior studies have found that mobile device and SM use are associated with various aspects of well-being. However, a large portion of these studies relied upon self-reported estimates to measure amount of use, which can be inaccurate. Utilizing Apple’s “Screen Time” application to obtain actual iPhone and SM use data, the current study examined the accuracy of self-reported estimates, how inaccuracies bias relationships between use and well-being (depression, loneliness, and life satisfaction), and the degree to which inaccuracies were predicted by levels of well-being. Among a sample of 393 iPhone users, we found that: a.) participants misestimated their weekly overall iPhone and SM use by 22.1 and 16.6 hours, respectively; b.) the correlations between estimated use and well-being variables were consistently stronger than the correlations between actual use and well-being variables; and c.) the amount of inaccuracy in estimated use is associated with levels of participant well-being as well as amount of use. These findings suggest that estimates of device/SM use may be biased by factors that are fundamental to the relationships being investigated. **This manuscript is currently under review**

Playing videogames or using social media applications on smartphones causes mental fatigue and impairs decision-making performance in amateur boxers

2021 ◽  
pp. 1-12
Author(s):  
Leonardo Sousa Fortes ◽  
Petrus Gantois ◽  
Dalton de Lima-Júnior ◽  
Bruno Teixeira Barbosa ◽  
Maria Elisa Caputo Ferreira ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Mental Fatigue ◽  
Media Applications

scholarly journals The Optimization Analysis for the Original and Manipulation Identification of Illegally Filmed Images

2021 ◽  
Vol 11 (11) ◽  
pp. 5220
Author(s):  
Soohyeon Choi ◽  
Dohoon Kim
Keyword(s):  
Social Media ◽  
Mobile Device ◽  
Detection Rate ◽  
Precise Measurement ◽  
Detection Method ◽  
Optimization Analysis ◽  
Storage Devices ◽  
Digital Forensic ◽  
Attribute Information ◽  
Measurement Approach

Illegally filmed images, the sharing of non-consensually filmed images over social media, and the secret recording and distribution of celebrity images are increasing. To catch distributors of illegally filmed images, many investigation techniques based on an analysis of the file attribute information of the original images have been introduced. As forensic science advances, various types of anti-forensic technologies are being produced, requiring investigators to open and analyze all videos from the suspect’s storage devices, raising the question of the invasion of privacy during the investigation. The suspect can even file a lawsuit, which makes issuing a warrant and conducting an investigation difficult. Thus, it is necessary to detect the original and manipulated images without needing to directly go through multiple videos. We propose an optimization analysis and detection method for extracting original and manipulated images from seized devices of suspects. In addition, to increase the detection rate of both original and manipulated images, we suggest a precise measurement approach for comparative thresholds. Thus, the proposed method is a new digital forensic methodology for comparing and identifying original and manipulated images accurately without the need for opening videos individually in a suspect’s mobile device.

Social media participatory CPD for nursing revalidation, professional development and beyond

2019 ◽  
Vol 28 (13) ◽  
pp. 870-877
Author(s):  
Calvin Moorley ◽  
Theresa Chinn
Keyword(s):  
Professional Development ◽  
Social Media ◽  
Thematic Analysis ◽  
Design Data ◽  
The Social ◽  
Reflective Design ◽  
Professional Requirements ◽  
Social Media Tools ◽  
The Uk ◽  
Media Applications

Background: In 2016 the Nursing and Midwifery Council in the UK introduced revalidation, which is the process nurses are required to follow to renew their registration. This provides an opportunity for nurses to shape, develop and evolve social media to meet their professional requirements. Aims: to examine different ways nurses can use social media tools for continuous professional development (CPD) and revalidation. Methods: using a qualitative reflective design, data were gathered from content on the @WeNurses platform and activities organised with other leading health organisations in England. These data were analysed using the social media relationship triangle developed by the authors with a thematic analysis approach. Findings: analysis revealed that social media was used in six categories: publishing, sharing, messaging, discussing, collaborating, and networking. Organised social media events such as: blogs, tweetchats, Twitter storms, webinars, infographics, podcasts, videos and virtual book clubs can support nurses with revalidation and professional development. Conclusion: Through using a participatory CPD approach and embracing professional social media applications nurses have moved social media from the concept of a revolution to an evolution.

Post Your Journey: Instagram as a Support Community for People With Fibromyalgia

2018 ◽  
Vol 29 (2) ◽  
pp. 237-247 ◽  
Author(s):  
Ashley A. Berard ◽  
André P. Smith
Keyword(s):  
Health Care ◽  
Social Capital ◽  
Social Media ◽  
Content Analysis ◽  
Chronic Illness ◽  
Health Care Systems ◽  
Virtual Community ◽  
Widespread Pain ◽  
Care Systems ◽  
Media Applications

Fibromyalgia is a chronic illness with primary symptoms of widespread pain and fatigue. Social media applications have become a recent resource allowing individuals with fibromyalgia to interact in a virtual community devoted to the illness. This study explores how such a community develops and maintains itself on Instagram and the ways it creates social capital for its users. Data are derived from Instagram posts and open-ended questionnaires completed by users living with fibromyalgia who use the application. Using content analysis and semiotic methodology, the study analyzes the diverse ways in which users shared their experiences with fibromyalgia, the management of its symptoms, and issues encountered in accessing health care systems. Instagram aids in the development of a community by facilitating intimate and supportive interactions about the illness and the creation of personalized day-to-day narratives accessible to all. Norms of trust, acceptance, and reciprocity characterize the diversity of interactions in this community.

A Survey of Social Media, Big Data, Data Mining, and Analytics

2018 ◽  
Vol 03 (03) ◽  
pp. 1850003 ◽  
Author(s):  
Jared Oliverio
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Environmental Education ◽  
Family Businesses ◽  
Large Percentage ◽  
Specific Behavior ◽  
Social Media Data ◽  
Media Applications ◽  
Media Data

Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.

Success Factors of Social Media Applications (SMA): Case Study among UUM Students

2021 ◽  
Vol 12 (3) ◽  
pp. 2733-2745
Author(s):  
Mazlan Mohd Sappri Et.al
Keyword(s):  
Social Media ◽  
Service Quality ◽  
User Satisfaction ◽  
Mobile Application ◽  
Information Quality ◽  
Success Factors ◽  
Reference Model ◽  
Mobile App ◽  
Media Applications

Social media application (SMA) shows several important functions that causing theincrement of usage among mobile application or mobile app users, especially among18 to 28 years-old users. This causing several developers to create their own SMA thathave been targeted to mobile app users. However, only several SMA managed tobecome popular and successful in term of usage, leaving other unpopular SMA in thelower rank of the Google PlayStore. SMA created by developer in Malaysia face thesame situation as mentioned before where those SMA were supposed to attractMalaysian mobile users more. To assess this situation, this study aims to identify thesuccess factors of SMA usage and develop a set of metric based on the success factorsusing research model that have been developed in the past. Information SystemSuccess Model (ISSM) were studied and chosen as the reference model for this studybecause the model is suitable and have been used by other researchers in studiesregarding social media and SMA. ISSM contains several success factors like systemquality, service quality and information quality that affect the user satisfaction and useof a system, where this model were modified in this study with the addition ofnetworking quality and perceive privacy factors. This study were conducted on 380Universiti Utara Malaysia (UUM) students and after analysing the data collected, allproposed success factors except of service quality were found to have a positive impacttowards user satisfaction and usage. The success factors were included in the metricdesign and the metric were presented in an evaluation form for SMA developer inMalaysia to evaluate and applied the metric in their SMA.

HeinOnline Takes a Diversified Approach to Legal Research Training

2010 ◽  
Vol 10 (2) ◽  
pp. 120-123 ◽  
Author(s):  
Marcie M. Baranich
Keyword(s):  
Social Media ◽  
Research Training ◽  
Legal Research ◽  
Research Skills ◽  
Video Tutorials ◽  
Proper Training ◽  
Training Resources ◽  
Media Applications

AbstractDeveloping legal research skills is something that takes time and practice and can be enhanced with proper training. Marcie M. Baranich explores the various resources that HeinOnline offers to help law librarians and legal researchers develop their research skills in HeinOnline, from training guides and video tutorials to live webinars and support, together with the platforms and social media applications used to disseminate training resources, including the Wiki, Blog, YouTube channel, Facebook page, and Twitter feed.

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