Adolescent Text Messaging

2015 ◽  
pp. 1399-1408
Author(s):  
J. Mitchell Vaterlaus ◽  
Randall M. Jones
Keyword(s):  
Social Network ◽  
21St Century ◽  
Text Messaging ◽  
Cell Phones ◽  
Age Groups ◽  
Frequent Users ◽  
Frequency Of Use ◽  
Regular Medium

Cell phones provide multiple mediums for communication (e.g., voice, text, video) and have become the defining technology of the 21st century. Text messaging (SMS; texting) has become a popular and regular medium for communication among adolescents. When compared to other age groups, adolescents are the most frequent users of text messaging. Adolescents are motivated to use this technology because it allows them to maintain constant communication with their social network in a convenient and private manner. Given the popularity of this technology among adolescents, research has begun to focus on the frequency of use and concerns (e.g., cyberbullying) associated with text messaging. The motivations for the use of text messaging, the influence of text messaging on relationships, and the culture surrounding adolescent text messaging have also motivated researchers and developmental scholars.

scholarly journals Quit Experiences among Primary Care Patients Enrolled in a Smoking Cessation Pilot RCT Early in the COVID-19 Pandemic

2021 ◽  
Vol 18 (3) ◽  
pp. 1011
Author(s):  
Andrea A. Joyce ◽  
Grace M. Styklunas ◽  
Nancy A. Rigotti ◽  
Jordan M. Neil ◽  
Elyse R. Park ◽  
...  
Keyword(s):  
Primary Care ◽  
Text Messaging ◽  
Risk Perceptions ◽  
Environmental Changes ◽  
Age Groups ◽  
Text Messages ◽  
Increased Risk ◽  
Primary Care Patients ◽  
The Impact ◽  
At Home

The impact of the COVID-19 pandemic on US adults’ smoking and quitting behaviors is unclear. We explored the impact of COVID-19 on smoking behaviors, risk perceptions, and reactions to text messages during a statewide stay-at-home advisory among primary care patients who were trying to quit. From May–June 2020, we interviewed smokers enrolled in a 12-week, pilot cessation trial providing text messaging and mailed nicotine replacement medication (NCT04020718). Twenty-two individuals (82% white, mean age 55 years), representing 88% of trial participants during the stay-at-home advisory, completed exit interviews; four (18%) of them reported abstinence. Interviews were thematically analyzed by two coders. COVID-19-induced environmental changes had mixed effects, facilitating quitting for some and impeding quitting for others. While stress increased for many, those who quit found ways to cope with stress. Generally, participants felt at risk for COVID-19 complications but not at increased risk of becoming infected. Reactions to COVID-19 and quitting behaviors differed across age groups, older participants reported difficulties coping with isolation (e.g., feeling disappointed when a text message came from the study and not a live person). Findings suggest that cessation interventions addressing stress and boredom are needed during COVID-19, while smokers experiencing isolation may benefit from live-person supports.

Smartphone usage pattern while walking: A survey on 441 young users in Korea

2020 ◽  
Vol 64 (1) ◽  
pp. 1728-1731
Author(s):  
Yujin Kwon ◽  
Seobin Choi ◽  
Eunjee Kim ◽  
Hyorim Kim ◽  
Misol Kim ◽  
...  
Keyword(s):  
Text Messaging ◽  
Traffic Accidents ◽  
Usage Pattern ◽  
Limited Information ◽  
Near Misses ◽  
Usage Rate ◽  
Phone Calls ◽  
Frequency Of Use ◽  
History Of

Smartphone usage rate has been increased, and so has on the streets while walking. Concerns for traffic accidents associated with the use have been growing, but there has been limited information regarding smartphone usage pattern while walking. A survey was conducted to explore the usage pattern in terms of frequency of use while walking, and history of accidents, and apps used while walking. Of 441 students, 95.9% used smartphones ‘sometimes’ or more often while walking. 91.8% and 54.6% of 423 used their phones while waiting for a signal and while crossing the crosswalk, respectively. 57.9% experienced accidents or near misses when using smartphones while walking. Text messaging (87.7%) was the most frequently used app while walking, followed by music and phone calls. The findings indicate that using smartphones while walking is a common behavior of young users, and suggest habitual users on the streets were in greater risks for accidents.

Bringing the Automation-Related Complacency Scale into the 21st Century

2020 ◽  
Vol 64 (1) ◽  
pp. 1228-1232
Keyword(s):  
Internal Consistency ◽  
21St Century ◽  
Rating Scale ◽  
System Failure ◽  
Individual Values ◽  
Cronbach's Alpha ◽  
Important Measure ◽  
Frequency Of Use ◽  
Performance Error ◽  
The Individual

Complacency potential is an important measure to avoid performance error, such as neglecting to detect a system failure. This study updates and expands upon Singh, Molloy, and Parasuraman’s 1993 Complacency-Potential Rating Scale (CPRS). We updated and expanded the CPRS questions to include technology commonly used today and how frequently the technology is used. The goal of our study was to update the scale, analyze for factor shifts and internal consistency, and to explore correlations between the individual values for each factor and the frequency of use questions. We hypothesized that the factors would not shift from the original and the revised CPRS’s four subscales. Our research found that the revised CPRS consisted of only three subscales with the following Cronbach’s Alpha values: Confidence: 0.599, Safety/Reliability: 0.534, and Trust: 0.201. Correlations between the subscales and the revised complacency-potential and the frequency of use questions are also discussed.

scholarly journals Electronic Journal Usage at Ohio State University

2001 ◽  
Vol 62 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Sally A. Rogers
Keyword(s):  
Graduate Students ◽  
Research University ◽  
Statistical Correlation ◽  
Ohio State University ◽  
Electronic Journal ◽  
State University ◽  
Frequent Users ◽  
Advantages And Disadvantages ◽  
Frequency Of Use ◽  
Large Research

E-journal, printed journal, and database usage data from campus polls conducted annually, 1998–2000, at one large research university show increased use of e-journals and decreased use of printed journals by faculty and graduate students as the number of available e-journals increased from two hundred to more than three thousand. Little or no statistical correlation between age and frequency of use was found. The majority of frequent users of all three types of resources were from departments in the sciences. Transcripts from the 1998 poll provided insights into attitudes toward replacing printed journals with e-journals. The advantages and disadvantages mentioned were consistent with previous studies.

A Model for a Collective Aesthetic Consciousness

2015 ◽  
pp. 159-172
Author(s):  
Sherry Mayo
Keyword(s):  
Social Network ◽  
20Th Century ◽  
21St Century ◽  
Industrial Society ◽  
Paradigmatic Shift ◽  
Modern Media ◽  
Aesthetic Consciousness ◽  
Media Society ◽  
Media Condition ◽  
Post Industrial

During the 20th century, the modern media was born and viewed as an industrial factory-model machine. These powerful media such as film, radio, and television transmitted culture to the passive masses (Enzensberger; 1974). These art forms were divorced of ritual and authenticity and were reproduced to reinforce their prowess (Benjamin, 1936). In the 21st century post-media condition, a process of convergence and evolution toward a social consciousness, facilitated by a many-to-many social network strategy, is underway. Web 2.0 technologies are a catalyst toward an emergence of a collectivist aesthetic consciousness. As the prophecy of a post-industrial society (Bell, 1973) becomes fulfilled, a post-media society emerges whose quest is for knowledge dependent upon economy that barters information. This paper identifies a conceptual model of this recent paradigmatic shift and to identify some of the possibilities that are emerging.

Online Abuse

2012 ◽  
pp. 911-917 ◽  
Author(s):  
Adam M. Bossler ◽  
Thomas J. Holt
Keyword(s):  
Social Networking ◽  
Real Time ◽  
Social Networking Sites ◽  
Text Messaging ◽  
Cell Phones ◽  
The Internet ◽  
Online Harassment ◽  
Online Abuse ◽  
Beneficial Impact

The development of computers, cell phones, and the Internet allows individuals to connect with one another with ease in a variety of ways in near real time. The beneficial impact of these resources, however, has been adulterated by some to engage in abusive communications while online. Specifically, individuals now use email, text messaging, and social networking sites to spread hurtful or malicious information about others. This entry summarizes the problem of online abuse via cyberbullying, online harassment, and stalking by discussing the prevalence of these phenomena as well as the prospective predictors of victimization.

Detecting Pharmaceutical Spam in Microblog Messages

2011 ◽  
pp. 101-115
Author(s):  
Kathy J. Liszka ◽  
Chien-Chung Chan ◽  
Chandra Shekar
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Cell Phones ◽  
Pharmaceutical Products ◽  
Spam Detection ◽  
Data Mining Techniques ◽  
Flow Through ◽  
Special Category

Microblogs are one of a growing group of social network tools. Twitter is, at present, one of the most popular forums for microblogging in online social networks, and the fastest growing. Fifty million messages flow through servers, computers, and cell phones on a wide variety of topics exchanged daily. With this considerable volume, Twitter is a natural and obvious target for spreading spam via the messages, called tweets. The challenge is how to determine if a tweet is a spam or not, and more specifically a special category advertising pharmaceutical products. The authors look at the essential characteristics of spam tweets and what makes microblogging spam unique from email or other types of spam. They review methods and tools currently available to identify general spam tweets. Finally, this work introduces a new methodology of applying text mining and data mining techniques to generate classifiers that can be used for pharmaceutical spam detection in the context of microblogging.

Perceptions and New Realities for the 21st Century Learner

2020 ◽  
pp. 93-108
Author(s):  
Jennifer (Jenny) L. Penland ◽  
Kennard Laviers
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Best Practices ◽  
Computer Science ◽  
21St Century ◽  
Subject Matter ◽  
Age Groups ◽  
The Way

Of all the technologies emerging today, augmented reality (AR) stands to be one of, if not the, most transformational in the way we teach our students across the spectrum of age groups and subject matter. The authors propose “best practices” that allow the educator to use AR as a tool that will not only teach the processes of a skill but will also encourage students to use AR as a motivational tool that allows them to discover, explore, and perform work beyond what is capable with this revolutionary device. Finally, the authors provide and explore the artificial intelligence (AI) processors behind the technologies driving down cost while driving up the quality of AR and how this new field of computer science is transforming all facets of society and may end up changing pedagogy more profoundly than anything before it.

scholarly journals Age sequences of the elderly’ social network and its efficacies on well-being: an urban-rural comparison in China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhenhua Zheng ◽  
Hong Chen
Keyword(s):  
Social Network ◽  
Rural Areas ◽  
Age Groups ◽  
Well Being ◽  
The Elderly ◽  
Urban Elderly ◽  
Family Network ◽  
The Social ◽  
Urban Rural ◽  
Urban And Rural Areas

Abstract Background Although social network is a known determinant of the elderly’s well-being, it is not clear, in urban-rural and age-comparison, what its structural characteristics are and how it works for well-being. The research aims to discuss the features of the elderly’s social network and the social network efficacies on the well-being of older adults in China’s urban and rural areas as well as revealing the urban-rural disparities among the elderly of different age groups. Methods In this study, descriptive statistical analysis and structural equation Modeling (SEM) were used to make a group comparison between the urban and rural elderly of different age groups. All data are quoted from 2014 China Longitudinal Aging Social Survey (CLASS). The survey adopted the multi-stage probability sampling method, targeting Chinese senior citizens aged 60 and above, the ultimate samples totaled 11,511. Results The social network of the elderly in China feature a “reverse structure” in age sequences: with ageing, family network of the elderly expand while their friend network shrink; also, the expansion scale of the rural elderly’s family network is significantly larger than that of the city’s while the shrinkage scale of their friend network is smaller compared with its urban counterpart. The effect of family network on the rural elderly’s well-being shows a remarkable increase with age. However, there is no noticeable change in urban elderly groups of different ages. Conclusion The social network characteristics of the Chinese elderly are different between different age stages. Namely, the family network and the friend network have the “reverse structure “ in age sequences. Meanwhile, the family network and the friend network have different efficacies on the well-being of the elderly in China, and the differences between urban and rural areas are even more obvious. For rural elderly, family network has very important effects on their well-being. Moreover, With the increase of age, family network’s efficacies increase gradually. For urban elderly, comparatively, family network is just as important as friend network.

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