Social Networks Use Patterns among University Youth: The Validity and Reliability of an Updated Measurement Instrument

Gómez-García, Melchor; Matosas-López, Luis; Palmero, Julio Ruíz

doi:10.3390/su12093503

Cited by 16 publications

(12 citation statements)

References 36 publications

(45 reference statements)

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“…Furthermore, there is no doubt that teacher training must become one of the challenges to be faced in order to ensure that citizens, especially children, adolescents, and young people who are still in the teaching-learning process, receive correct media literacy from [17]. Having a good system for valuing this formation is a fundamental requirement for a good evaluation [18].…”

Section: Discussionmentioning

confidence: 99%

What Factors Determine the Value of an Online Teacher Education Experience from a Teacher’s Perspective?

et al. 2020

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E-learning is currently at the center of interest in the educational community, in a situation of global pandemics that forces us to reduce attendance in all aspects of our lives. Online courses have had a bad reputation due to the distance between the tutor and the apprentice and the high dropout rates. The main purpose is to analyze the evaluations made by teachers on different features of a course, by examining variables like content, technology, activities, final work, and format. The analysis covers the 50 online courses that form part of the continuous training offer of the Regional Ministry of Education of the Community of Madrid in courses 17–18 and 18–19 in which 7501 teachers have participated. The opinion of each participant is collected from a questionnaire at the end of the training activity. This has been validated by a group of experts from the Regional Centre for Innovation and Training, belonging to the Community of Madrid, using the Delphi method. To develop the methodology, a linear multivariate model was calculated on the independent variables and the dependent variable Net Promoter Score (NPS). Most of the findings are related to two central variables in the educational approaches that occur in digital scenarios. What the group of teachers’ values most is the content of the proposal, while the factor that they consider least important is the technology that supports the development of the course. The rest of the variables analyzed have little impact on the recommendation of the courses. Nevertheless, conclusions suggest that combining factors such as content, technology, and pedagogy are essential in experiences like these.

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Section: Discussionmentioning

confidence: 99%

What Factors Determine the Value of an Online Teacher Education Experience from a Teacher’s Perspective?

et al. 2020

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“…The researchers utilized these con icting biases to balance their ndings. A study of 640 university students found that the leading factor for using social media was to search for and access information [10]. An earlier study by Bougie et al [11] followed software engineering groups on Twitter to determine how they utilized the platform.…”

Section: Use Of Social Media In Researchmentioning

confidence: 99%

Social Media Analytics of the Internet of Things

Scheibmeir

Malaiya

2021

Preprint

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The Internet of Things technology offers convenience and innovation in areas such as smart homes and smart cities. Internet of Things solutions require careful management of devices and the risk mitigation of potential vulnerabilities within cyber-physical systems. The Internet of Things concept, its implementations, and applications are frequently discussed on social media platforms. This article illuminates the public view of the Internet of Things through a content-based analysis of contemporary conversations occurring on the Twitter platform. Tweets can be analyzed with machine learning methods to converge the volume and variety of conversations into predictive and descriptive models. We have reviewed 684,503 tweets collected in a two-week period. Using supervised and unsupervised machine learning methods, we have identified interconnecting relationships between trending themes and the most mentioned industries. We have identified characteristics of language sentiment which can help to predict popularity within the realm of IoT conversation. We found the healthcare industry as the leading use case industry for IoT implementations. This is not surprising as the current Covid-19 pandemic is driving significant social media discussions. There was an alarming dearth of conversations towards cybersecurity. Only 12% of the tweets relating to the Internet of Things contained any mention of topics such as encryption, vulnerabilities, or risk, among other cybersecurity-related terms.

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“…Although some works have previously applied machine learning algorithms and multiple linear regressions to examine the activity occurred on social media, the dynamic and changing nature of these spaces requires constant updates of this knowledge [2]. An in-depth analysis of the trends and patterns of use is, without a doubt, the basis on which professionals in this field develop efficient management of these technologies in their organizations.…”

Section: Objectivesmentioning

confidence: 99%

“…Thus, for example, the percentage in India is 29%, in Germany 45%, in the United States (US) 70%, and in South Korea 87% [1]. In the particular case of Spain, two-thirds of the population are regular users of platforms such as Facebook and Twitter [2].…”

Section: Introductionmentioning

confidence: 99%

The Efficiency of Social Network Services Management in Organizations. An In-Depth Analysis Applying Machine Learning Algorithms and Multiple Linear Regressions

Matosas-López¹,

Romero-Ania²

2020

Applied Sciences

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The objective of this work is to detect the variables that allow organizations to manage their social network services efficiently. The study, applying machine learning algorithms and multiple linear regressions, reveals which aspects of published content increase the recognition of publications through retweets and favorites. The authors examine (I) the characteristics of the content (publication volumes, publication components, and publication moments) and (II) the message of the content (publication topics). The research considers 21,771 publications and thirty-nine variables. The results show that the recognition obtained through retweets and favorites is conditioned both by the characteristics of the content and by the message of the content. The recognition through retweets improves when the organization uses links, hashtags, and topics related to gender equality, whereas the recognition through favorites increases when the organization uses original tweets, publications between 8:00 and 10:00 a.m. and, again, gender equality related topics. The findings of this research provide new knowledge about trends and patterns of use in social media, providing academics and professionals with the necessary guidelines to efficiently manage these technologies in the organizational field.

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Social Networks Use Patterns among University Youth: The Validity and Reliability of an Updated Measurement Instrument

Cited by 16 publications

References 36 publications

What Factors Determine the Value of an Online Teacher Education Experience from a Teacher’s Perspective?

What Factors Determine the Value of an Online Teacher Education Experience from a Teacher’s Perspective?

Social Media Analytics of the Internet of Things

The Efficiency of Social Network Services Management in Organizations. An In-Depth Analysis Applying Machine Learning Algorithms and Multiple Linear Regressions

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