Social Media and the Internet of Things

2017 ◽  
pp. 155-170
Keyword(s):  
Social Media ◽  
Internet Of Things ◽  
The Internet ◽  
The Internet Of Things

scholarly journals An Agenda in the Interest of Audiences: Facing the Challenges of Intrusive Media Technologies

2018 ◽  
Vol 20 (2) ◽  
pp. 184-198 ◽  
Author(s):  
Brita Ytre-Arne ◽  
Ranjana Das
Keyword(s):  
Social Media ◽  
Big Data ◽  
Internet Of Things ◽  
Emerging Technologies ◽  
Research Network ◽  
The Internet ◽  
Audience Research ◽  
Media Technologies ◽  
Critical Data ◽  
The Internet Of Things

This article formulates a five-point agenda for audience research, drawing on implications arising out of a systematic foresight analysis exercise on the field of audience research, conducted between 2014 and 2017, by the research network Consortium on Emerging Directions in Audience Research (CEDAR). We formulate this agenda in the context of the rapid datafication of society, amid emerging technologies, including the Internet of Things, and following a transformative decade, which overlapped with the pervasion of social media, proliferation of connected gadgets, and growing interest in and concern about big data. The agenda we formulate includes substantial and intellectual priorities concerning intrusive technologies, critical data literacies, labour, co-option, and resistance, and argues for the need for research on these matters, in the interest of audiences.

scholarly journals Social Media Analytics of the Internet of Things

2021 ◽  
Author(s):  
Jim Scheibmeir ◽  
Yashwant K. Malaiya
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Social Media Analytics ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Abstract 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.

Intelligent Assistants and the Internet of Things as the Next Marketing Landscape

2021 ◽  
pp. 2071-2085
Author(s):  
Edward Forrest ◽  
Christina McDowell Marinchak ◽  
Bogdan Hoanca
Keyword(s):  
Social Media ◽  
Internet Of Things ◽  
The Internet ◽  
Technology Platform ◽  
Technical Specifications ◽  
Global Diffusion ◽  
And Control ◽  
The Internet Of Things ◽  
The Web ◽  
Intelligent Assistants

This entry explores the ramifications of this latest technology platform shift. Just as the Web precipitated the emergence of e-commerce and the smartphone enabled the explosion of social media, the advent of a voice-based interface that allows people access to, communication with, and control of most anything in our world—via the IoT. Accordingly, the objectives of this entry are threefold: review the findings of these initial, and other related articles, in the context of their relevance to the changing business/ marketing landscape defined by voice based interface (VBI) to a world connected to an Internet of Intelligent Things (IoIT); understand the technical specifications and broad-based applications of VBI will be delineated along with the ramifications occasioned by the global diffusion of the IoIT; and, explore the ramifications of this new landscape will be examined through analyses of the most prominent examples of digital assistants that are in use or development.

scholarly journals Sistem Pemantau Gas di Tempat Pembuangan Sampah Akhir Berbasis Internet of Things

2018 ◽  
Vol 6 (3) ◽  
pp. 100-105
Author(s):  
Fathur Zaini Rachman
Keyword(s):  
Carbon Dioxide ◽  
Social Media ◽  
Internet Of Things ◽  
Environmental Data ◽  
The Internet ◽  
Time Interval ◽  
Data Delivery ◽  
Internet Connection ◽  
Carbon Dioxide Co2 ◽  
The Internet Of Things

This research developed a gas monitoring system in the final waste disposal. The system has implemented the Internet of Things (IoT) using the ESP8266 Wi-Fi module to transmit methane (CH4) and carbon dioxide (CO2) data concentration, as well as temperature and humidity to the ThingSpeak server. Users can monitor and access these environmental data through social media Twitter and websites from anywhere. The fastest data delivery can be obtained with a time interval of 16 seconds on each data packet sent when there is an Internet connection.

scholarly journals Social media analytics of the Internet of Things

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Jim A. Scheibmeir ◽  
Yashwant K. Malaiya
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Social Media Analytics ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Internet Of Things Technology ◽  
The Internet Of Things

AbstractThe 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 research illuminates the public view of the Internet of Things through a content-based and network 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 2-week period. Using supervised and unsupervised machine learning methods, we have identified trends within the realm of IoT and their interconnecting relationships between the most mentioned industries. We have identified characteristics of language sentiment which can help to predict the popularity of IoT conversation topics. 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. Recent breaches and ransomware events denote that organizations should spend more time communicating about risks and mitigations. 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. We propose an IoT Cybersecurity Communication Scorecard to help organizations benchmark the density and sentiment of their corporate communications regarding security against their specific industry.

scholarly journals Data Ownership: Who Owns 'My Data'?

2012 ◽  
Vol 2 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Ali M. Al-Khouri
Keyword(s):  
Social Media ◽  
Internet Of Things ◽  
Data Protection ◽  
The Internet ◽  
Policy Makers ◽  
Privacy Laws ◽  
Data Ownership ◽  
The Internet Of Things ◽  
Term Data ◽  
Existing Data

The amount of data in our world today is substantially mammoth. Many of the personal and non-personal aspects of our day to day activities are aggregated and stored as data by both businesses and governments. The increasing data captured through multimedia, social media, and the Internet of Things is a phenomenon that needs to be properly examined. In this article, we explore this topic, and analyse the term data ownership. We aim to raise awareness and trigger debate for policy makers around data ownership and the need to improve existing data protection and privacy laws and legislation at both national and international levels.

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