Hey Google: A thematic analysis of Twitter users’ comments on the privacy of AI devices in the home

2021 ◽  
Vol 20 (4) ◽  
pp. 457-477 ◽  
Author(s):  
Heather Riddell ◽  
Christopher Fenner
Keyword(s):  
Artificial Intelligence ◽  
Diffusion Of Innovation ◽  
Thematic Analysis ◽  
Smart Homes ◽  
Negative Reaction ◽  
Diffusion Of Innovation Theory ◽  
Privacy Concerns ◽  
News Stories ◽  
Open Coding ◽  
Twitter Users

The advancement of technology has been accompanied by the rise of data breaches and privacy concerns. The integration of artificial intelligence (AI)-based virtual assistants into society has led to smart homes that enable users to complete commands instantly. This project uses the diffusion of innovation theory to explain why consumers adopt the technology. A thematic analysis was conducted on Twitter news stories, and open coding showed a strong negative reaction to the stories, with users concluding that privacy was too essential to purchase a virtual assistant for their home. These findings have implications for the future rate of adoption of AI and virtual assistant technology.

Perceptions of Inclusivity: The 24-Hour Movement Guidelines for Children and Youth

2018 ◽  
Author(s):  
Lauren Handler
Keyword(s):  
Physical Activity ◽  
Diffusion Of Innovation ◽  
Thematic Analysis ◽  
Theoretical Basis ◽  
Children With Disabilities ◽  
Telephone Interview ◽  
Health Resources ◽  
Children And Youth ◽  
Diffusion Of Innovation Theory ◽  
Secondary Purpose

In June 2016, Tremblay et al. published the first 24-Hour Movement Guidelines for Children and Youth. These guidelines integrate the daily requirements for physical activity, sedentary behaviour, and sleep into one comprehensive resource. Children with disabilities are less active and more sedentary than able-bodied individuals. Thus, it is important that health resources are developed and marketed to be inclusive and accessible to this population. The primary purpose of the study is to explore whether parents consider the 24-Hour Movement Guidelines for Children and Youth inclusive for children with disabilities. The secondary purpose is to assess whether these perceptions influence the decision to implement the guidelines. One 60-minute semi-structured in-person or telephone interview will be conducted with parents of children with disabilities. The diffusion of innovation theory will provide a theoretical basis for the interview questions and a thematic analysis will be used to analyze the results.

scholarly journals Twittering Libraries: How and Why New Zealand Public Libraries Use Micro-Blogging

2021 ◽  
Author(s):  
◽  
Magalie Andree Olga Le Gac
Keyword(s):  
New Zealand ◽  
Diffusion Of Innovation ◽  
Qualitative Methodology ◽  
Public Libraries ◽  
Alternative Communication ◽  
Diffusion Of Innovation Theory ◽  
The Public ◽  
Development Tool ◽  
Twitter Users ◽  
Library Websites

<p>The aim of this research is to discover how and why New Zealand Public Libraries use the micro-blogging platform Twitter. This paper uses a qualitative methodology consisting of open-ended interview questions conducted via e-mail. Rogers' Diffusion of Innovation theory is used as the theoretical framework of this research. The analysis demonstrates that participants use Twitter as an alternative communication channel with members of the public who are Twitter users. Library websites as well as library services and programs are promoted on Twitter. Using Twitter enables participants to advocate for their libraries as Web 2.0 champions and is an invaluable professional development tool. The number of interactions and feedback from Twitter users who follow the library is a measure of the successful use of Twitter for participants. This research also reveals what software is being used by participants to maximise their use of Twitter. The results of this research will allow public librarians to gain more knowledge about the micro-blogging software Twitter and how it can be used to assist in the delivery of outcomes and outputs in their public libraries.</p>

scholarly journals Technologies, Ethics and Journalism’s Relationship with the Public

2020 ◽  
Vol 8 (3) ◽  
pp. 101-111
Author(s):  
Megan Duncan ◽  
Kathleen Bartzen Culver
Keyword(s):  
Diffusion Of Innovation ◽  
News Media ◽  
Technology Use ◽  
News Coverage ◽  
Past Research ◽  
The United States ◽  
Innovation Theory ◽  
Diffusion Of Innovation Theory ◽  
News Stories ◽  
Personal Technology

Drones can provide a bird’s eye view of breaking news and events that can be streamed live or used in edited news coverage. Past research has focused on the training and ethics of journalists and drone operators. Little attention, however, has been given to audiences and their acceptance and perception of ethics. We suggest that audiences who are open to personal technology use will perceive news media using unmanned aerial vehicles (UAVs) as more ethical in an extension of the Diffusion of Innovation Theory. In a survey (N = 548) of adults living in the United States, we explore the correlates between trust, technology, privacy, and the use of UAVs. Results suggest all three are positively correlated with openness toward drone journalism. We find the audience has preferences for the types of news stories that should be covered using drones. Participants indicated they welcome drone journalism when covering traffic and investigative stories, but not celebrities and politicians. The findings have implications for newsrooms, suggesting transparency and outreach to educate people on the technology could help build trust. Further, the results suggest that Diffusion of Innovation theory can be applied when mediated through news media.

scholarly journals Twittering Libraries: How and Why New Zealand Public Libraries Use Micro-Blogging

2021 ◽  
Author(s):  
◽  
Magalie Andree Olga Le Gac
Keyword(s):  
New Zealand ◽  
Diffusion Of Innovation ◽  
Qualitative Methodology ◽  
Public Libraries ◽  
Alternative Communication ◽  
Diffusion Of Innovation Theory ◽  
The Public ◽  
Development Tool ◽  
Twitter Users ◽  
Library Websites

<p>The aim of this research is to discover how and why New Zealand Public Libraries use the micro-blogging platform Twitter. This paper uses a qualitative methodology consisting of open-ended interview questions conducted via e-mail. Rogers' Diffusion of Innovation theory is used as the theoretical framework of this research. The analysis demonstrates that participants use Twitter as an alternative communication channel with members of the public who are Twitter users. Library websites as well as library services and programs are promoted on Twitter. Using Twitter enables participants to advocate for their libraries as Web 2.0 champions and is an invaluable professional development tool. The number of interactions and feedback from Twitter users who follow the library is a measure of the successful use of Twitter for participants. This research also reveals what software is being used by participants to maximise their use of Twitter. The results of this research will allow public librarians to gain more knowledge about the micro-blogging software Twitter and how it can be used to assist in the delivery of outcomes and outputs in their public libraries.</p>

scholarly journals Understanding public opinion to the introduction of minimum unit pricing in Scotland: a qualitative study using Twitter

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e029690 ◽  
Author(s):  
Laurence Astill Wright ◽  
Su Golder ◽  
Adam Balkham ◽  
J McCambridge
Keyword(s):  
Public Opinion ◽  
Thematic Analysis ◽  
Media Analysis ◽  
Alcohol Policy ◽  
Social Media Analysis ◽  
Policy Issues ◽  
Related Individuals ◽  
Positive Sentiment ◽  
Twitter Users ◽  
Unit Pricing

ObjectivesOn 1 May 2018 minimum unit pricing (MUP) of alcohol was introduced in Scotland. This study used Twitter posts to quantify sentiment expressed online during the introduction of MUP, conducted a thematic analysis of these perceptions and analysed which Twitter users were associated with which particular sentiments.Design and settingThis qualitative social media analysis captured all tweets relating to MUP during the 2 weeks after the introduction of the policy. These tweets were assessed using a mixture of human and machine coding for relevance, sentiment and source. A thematic analysis was conducted.Participants74 639 tweets were collected over 14 days. Of these 53 574 were relevant to MUP.ResultsStudy findings demonstrate that opinion on the introduction of MUP in Scotland was somewhat divided, as far as is discernible on Twitter, with a slightly higher proportion of positive posts (35%) than negative posts (28%), with positive sentiment stronger in Scotland itself. Furthermore, 55% of positive tweets/retweets were originally made by health or alcohol policy-related individuals or organisations. Thematic analysis of tweets showed some evidence of misunderstanding around policy issues.ConclusionsIt is possible to appreciate the divided nature of public opinion on the introduction of MUP in Scotland using Twitter, the nature of the sentiment around it and the key actors involved. It will be possible to later study how this changes when the policy becomes more established.

Artificial intelligence research in agriculture: a review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amit Sood ◽  
Rajendra Kumar Sharma ◽  
Amit Kumar Bhardwaj
Keyword(s):  
Artificial Intelligence ◽  
Peer Review ◽  
Diffusion Of Innovation ◽  
Comprehensive Review ◽  
Content Type ◽  
Design Elements ◽  
Extant Literature ◽  
Use Of Technology ◽  
Challenges And Opportunities ◽  
Market Factors

PurposeThe purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and opportunities in adopting AI-based advancement in agricultural systems and processes.Design/methodology/approachThe authors conducted a bibliometric analysis of the extant literature on AI in agriculture to understand the status of development in this domain. Further, the authors proposed a framework based on two popular theories, namely, diffusion of innovation (DOI) and the unified theory of acceptance and use of technology (UTAUT), to identify the factors influencing the adoption of AI in agriculture.FindingsFour factors were identified, i.e. institutional factors, market factors, technology factors and stakeholder perception, which influence adopting AI in agriculture. Further, the authors indicated challenges under environmental, operational, technological, economical and social categories with opportunities in this area of research and business.Research limitations/implicationsThe proposed conceptual model needs empirical validation across countries or states to understand the effectiveness and relevance.Practical implicationsPractitioners and researchers can use these inputs to develop technology and business solutions with specific design elements to gain benefit of this technology at larger scale for increasing agriculture production.Social implicationsThis paper brings new developed methods and practices in agriculture for betterment of society.Originality/valueThis paper provides a comprehensive review of extant literature and presents a theoretical framework for researchers to further examine the interaction of independent variables responsible for adoption of AI in agriculture.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0448

Artificial Intelligence, Social Media and Depression. ‘Patient’ Autonomy Revisited

2021 ◽  
Vol 66 (Special Issue) ◽  
pp. 133-133
Author(s):  
Regina Mueller ◽  
◽  
Sebastian Laacke ◽  
Georg Schomerus ◽  
Sabine Salloch ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Mental Disorders ◽  
Patient Autonomy ◽  
Ethical Challenges ◽  
Traditional Concept ◽  
Ethical Implications ◽  
Health Related ◽  
Twitter Users ◽  
Using Data

"Artificial Intelligence (AI) systems are increasingly being developed and various applications are already used in medical practice. This development promises improvements in prediction, diagnostics and treatment decisions. As one example, in the field of psychiatry, AI systems can already successfully detect markers of mental disorders such as depression. By using data from social media (e.g. Instagram or Twitter), users who are at risk of mental disorders can be identified. This potential of AI-based depression detectors (AIDD) opens chances, such as quick and inexpensive diagnoses, but also leads to ethical challenges especially regarding users’ autonomy. The focus of the presentation is on autonomy-related ethical implications of AI systems using social media data to identify users with a high risk of suffering from depression. First, technical examples and potential usage scenarios of AIDD are introduced. Second, it is demonstrated that the traditional concept of patient autonomy according to Beauchamp and Childress does not fully account for the ethical implications associated with AIDD. Third, an extended concept of “Health-Related Digital Autonomy” (HRDA) is presented. Conceptual aspects and normative criteria of HRDA are discussed. As a result, HRDA covers the elusive area between social media users and patients. "

The intervention of artificial intelligence in the recruitment function in UAE’s hospitality industry

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Bharti Pandya ◽  
Maryam Mohammed Al Janahi
Keyword(s):  
Artificial Intelligence ◽  
Thematic Analysis ◽  
Hospitality Industry ◽  
Descriptive Analysis ◽  
Recruitment Strategies ◽  
Human Intervention ◽  
Job Descriptions ◽  
Job Advertisements ◽  
Routine Tasks ◽  
Hospitality Sector

Artificial Intelligence (AI) is not a new concept for Hospitality Industry and Recruitment functions. AI has displaced the human intervention in routine tasks. In few years, AI will take over several jobs (Kubler, 2018). Recently AI technologies support application screening, data analysis, and preliminary interviews, saving time of recruiters. Chatbots are now designated recruitment officers supporting candidates. Researchers have studied the influence of AI on Recruitment, but only a few focused on the AI displacing human in the recruitment function performed in UAE’s hospitality industry. This research aims to understand the transformation in the recruitment function of UAE’s hospitality industry due to AI intervention. Using concurrent mixed-methods, data was collected by interviewing 10 UAE HR leaders and surveying 135 HR professionals. The inductive-deductive thematic analysis was conducted for subjective measures and descriptive analysis was performed for scaled measures. This study found that UAE’s hospitality sector deployed AI technologies in recruitment areas such as job advertisements, collecting applications, maintaining profiles, and storing the applications. The routine, repetitive, and heavy-volume tasks in the recruitment are delegated to AI while strategic roles are retained for human professionals including development of strategies, and creation of job descriptions and specifications. While the literature review suggested a wider application of AI in recruitment function, UAE’s hospitality sector seems to be lagging. The recommendations will benefit industry leaders, HR professionals, recruitment consultants, and AI developers to rethink on the recruitment strategies, operations, and administration and to embrace the intervention of AI in recruiting the best talent proficiently.

Implementation of computer-assisted therapy for substance misuse: a qualitative study of Breaking Free Online using Roger's diffusion of innovation theory

2014 ◽  
Vol 14 (4) ◽  
pp. 207-218 ◽  
Author(s):  
Sarah Elison ◽  
Jonathan Ward ◽  
Glyn Davies ◽  
Mark Moody
Keyword(s):  
Diffusion Of Innovation ◽  
Social System ◽  
Substance Misuse ◽  
Social Care ◽  
Computer Assisted ◽  
Innovation Theory ◽  
Diffusion Of Innovation Theory ◽  
Content Type ◽  
Adoption And Implementation ◽  
The Social

Purpose – The purpose of this paper is to explore the adoption and implementation of computer-assisted therapy (CAT) using Breaking Free Online (BFO) in a social care and health charity working with people affected by drugs and alcohol dependence, Crime Reduction Initiatives (CRI). Design/methodology/approach – Semi-structured interviews were conducted with service managers, practitioners, peer mentors and service users. Data were thematically analysed and themes conceptualised using Roger's Diffusion of Innovation Theory (Rogers, 1995, 2002, 2004). Findings – A number of perceived barriers to adoption of BFO throughout CRI were identified within the social system, including a lack of IT resources and skills. However, there were numerous perceived benefits of adoption of BFO throughout CRI, including broadening access to effective interventions to support recovery from substance dependence, and promoting digital inclusion. Along with the solutions that were found to the identified barriers to implementation, intentions around longer-term continuation of adoption of the programme were reported, with this process being supported through changes to both the social system and the individuals within it. Research limitations/implications – The introduction of innovations such as BFO within large organisations like CRI can be perceived as being disruptive, even when individuals within the organisation recognise its benefits. For successful adoption and implementation of such innovations, changes in the social system are required, at organisational and individual levels. Practical implications – The learning points from this study may be relevant to the substance misuse sector, and more widely to criminal justice, health and social care organisations. Originality/value – This study is the first of its kind to use a qualitative approach to examine processes of implementation of CAT for substance misuse within a large treatment and recovery organisation.

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