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Studies on the coronavirus disease 2019 (COVID-19) tracing apps have mostly focused on how to optimize adoption and continuous use, but did not consider potential long-term effects of their introduction. This study aims to analyse whether the characteristics of the recent introduction of tracing apps may negatively impact individuals' attitudes and intentions to adopt future tracking technology.

In an online experiment across three countries (Australia, Germany, UK), the authors measured how perceived benefits of COVID-19 tracing apps as well as specific government and campaign-related factors affect privacy concerns, attitude towards future tracking apps and intention to adopt. The authors manipulated the type of provider (governmental vs private) and the type of beneficiaries of the future tracking technology app (the individual alone or also the public) as determinants of adoption.

The authors find that privacy concerns towards the COVID-19 tracing apps negatively impact attitude and intention to adopt future tracking apps. Future adoption is more likely if the app is provided by the government, whereas additional benefits to the public do not positively stimulate adoption. Second, the study analyzed different factors, including perceptions on governments and the app introduction, as well as perceived benefits.

Taking the introduction of COVID-19 apps in different countries as a basis, the authors link both perceived benefits and contextual factors to privacy concerns, attitudes towards and intention to adopt the related technology in the future. The authors hereby clarify the responsibility of governmental actors who conduct large-scale technology introductions for the future diffusion of related technologies.

The purpose of this paper is to explore the effects of online recommender systems (RS) on three types of diversity: algorithmic recommendation diversity, perceived recommendation diversity and sales diversity. The analysis distinguishes different recommendation algorithms and shows whether user perceptions match the actual effects of RS on sales.

An online experiment was conducted using a realistic shop design, various recommendation algorithms and a representative consumer sample to ensure the generalizability of the findings.

Recommendation algorithms show a differential impact on sales diversity, but only collaborative filtering can lead to higher sales diversity. However, some of these effects are subject to how much information firms have about users’ preferences. The level of recommendation diversity perceived by users does not always reflect the factual diversity effects.

Recommendation and consumption patterns might differ for other types of products; future studies should replicate the study with search or credence goods. The authors also recommend that future research should move from taking a unidimensional measure for the assessment of diversity and employ multidimensional measures instead.

Online shops need to conduct a more comprehensive assessment of their RS’ effect on diversity, taking into account not only the effects on their sales distribution, but also on users’ perceptions and faith in the recommendation algorithm.

This study offers a framework for assessing different forms of diversity in online RS. It employs various recommendation algorithms and compares their impact using not just one but three different types of diversity measures. This helps explaining some of the contradictious findings from the previous literature.

This paper reports the panel discussion on the topic of artificial intelligence (AI) and robots in our lives. This discussion was held at the Digitization of the Individual (DOTI) workshop at the International Conference on Information Systems in 2019. Three scholars (in alphabetical order: Ting-Peng Liang, Lionel Robert and Suprateek Sarker) who have done AI- and robot-related research (to varying degrees) were invited to participate in the panel discussion. The panel was moderated by Manuel Trenz.

This paper introduces the topic, chronicles the responses of the three panelists to the questions the workshop chairs posed and summarizes their responses, such that readers can have an overview of research on AI and robots in individuals' lives and insights about future research directions.

The panelists discussed four questions with regard to their research experiences on AI- and robot-related topics. They expressed their viewpoints on the underlying nature, potential and effects of AI in work and personal life domains. They also commented on the ethical dilemmas for research and practice and provided their outlook for future research in these emerging fields.

This paper aggregates the panelists' viewpoints, as expressed at the DOTI workshop. Crucial ethical and theoretical issues related to AI and robots in both work and personal life domains are addressed. Promising research directions to these cutting-edge research fields are also proposed.

Digital technologies have diffused into many personal life domains. This has created many new phenomena that require systematic theorizing, testing and understanding. Such phenomena have been studied under the Digitization of the Individual (DOTI) umbrella and have been discussed in the DOTI pre-International Conference on Information Systems workshop for the last three years (from 2015 to 2017). While prior years have focused on a variety of issues, this year (2018) we decided to put special emphasis on negative effects of the DOTI, i.e., “the dark side” of the DOTI.

This manuscript reports on a panel of three experts (in alphabetical order: John D’Arcy, Hamed Qahri-Saremi and Monideepa Tarafdar) who presented their past research in this domain, as well as their outlook for future research and methodologies in research on the DOTI.

The authors introduce the topic, chronicle the responses of the panelists to the questions the authors posed, and summarize and discuss their response, such that readers can develop a good idea regarding next steps in research on the dark side of the DOTI.

The authors introduce the topic of the dark sides of DOTI and point readers to promising research directions and methodologies for further exploring this relatively uncharted field of research.

The purpose of this paper is to examine how a transnational immigrant youth’s engagement on social media supported her identity formation and allowed space to advance more just framing of Islam across school and online communities.

This qualitative study draws on data collected across two years, including interviews, classroom observations and social media posts. Using digital religion and counterstorying as a constructive theoretical frame, the authors asked: What was the role of social media in supporting a transnational immigrant youth’s critical media literacy practices within and beyond school. How, if at all, did these practices shift over time?

Findings highlight how I. Mohamud used social media in support of her identity development as a female, Muslim youth in a political climate antithetical to such liberation and how through an online community she engaged in counter stories to negative framing of Islam.

Our collaborative writing answers Lam and Warriner’s (2012) call for research exploring how individuals from migrant backgrounds interact with “diverse media representations and mobilize different interpretive frames for understanding societal events and personal experiences” (p. 207). Moreover, this study further answers El-Haj and Bonet (2012) call for research investigating “ways that youth inhabit particular identities in specific contexts and interactions and across time” (p. 41).

In this chapter, we focus on specially designed instruction (SDI) as a core value for the field of specific learning disabilities (SLD). SDI is at the heart of special education, and the field of LD has been built on the core value that effective instruction improves student outcomes. We describe a two-step test and an extended example of what is and is not SDI for Matt, a student with an SLD. Finally, we discuss some of the confusion surrounding SDI and the need for the field to return to its core value of individualized, intentional, targeted, evidence- or high leverage practice–based, and systematic instruction for students with SLD.

While Christian social principles harmonize with certain premisses of microeconomic theory, private property and freedom of behaviour for instance, deep‐rooted differences call for recasting certain foundations and pieces of analysis. Broad dissent concerns positive versus normative approach, the holistic character of Christian thought, and the latter′s view of human behaviour as flawed and often sinful. Discusses six more specific areas of dissent: consumer behaviour; the firm; income distribution; welfare economics; market failure and government, and public choice. The Christian mind requires revision of conventional treatments, since present microeconomic discussion is subversive of a religious interpretation of life.

President Bill Clinton has had many opponents and enemies, most of whom come from the political right wing. Clinton supporters contend that these opponents, throughout the Clinton presidency, systematically have sought to undermine this president with the goal of bringing down his presidency and running him out of office; and that they have sought non‐electoral means to remove him from office, including Travelgate, the death of Deputy White House Counsel Vincent Foster, the Filegate controversy, and the Monica Lewinsky matter. This bibliography identifies these and other means by presenting citations about these individuals and organizations that have opposed Clinton. The bibliography is divided into five sections: General; “The conspiracy stream of conspiracy commerce”, a White House‐produced “report” presenting its view of a right‐wing conspiracy against the Clinton presidency; Funding; Conservative organizations; and Publishing/media. Many of the annotations note the links among these key players.