In recent years, researchers have emphasized the relevance of data about commonsense moral judgments for ethical decision-making, notably in the context of debates about autonomous vehicles (AVs). ...

Taking a neo-Kohlbergian approach, we explore the moral reasoning of 486 young Italian users of social network sites exposed to moral dilemmas concerning online hate speech. The aims are to underst...

In an increasingly digitized world, online information-seeking (OIS) behaviors have reflected people’s intentions and constituted a critical component in synthesizing public opinion. Climate change...

Among the pressing issues facing Australian and other First Nations peoples is the repatriation of the bodily remains of their ancestors, which are currently held in Western scientific institutions...

Protest campaign movements are often carried out by coalitions rather than by homogeneous groups. Accordingly, an opposition member has both a narrow partisan identity and a broad all-opposition id...

This paper offers a critical look at the promises and drawbacks of a popular, novel data collection technique—online tracking—from the point of view of sample composition. Using data from two large...

High-quality online dialogues help sustain democracy. Deliberative theory, which predates the internet, provides the primary model for assessing the quality of online dialogues. It conceptualizes h...

Recent developments foretell that social robots will soon become an integral part of everyday life, offering companionship and intimate closeness of different kinds. While research thus far is limi...

Automated sentiment analysis can help efficiently detect trends in patients’ moods, consumer preferences, political attitudes and more. Unfortunately, like many natural language processing techniqu...

Recent rises in political polarization across the globe are often ascribed to algorithmic content filtering on social media, news platforms, or search engines. The widespread usage of news recommen...

This research examines anthropomorphism by testing the values that people attribute to electronic devices. We ask four main questions: Do people attribute human values to devices; Do devices differ...

Conversational AI (e.g., Google Assistant or Amazon Alexa) is present in many people’s everyday life and, at the same time, becomes more and more capable of solving more complex tasks. However, it ...

Protests and counter-protests seek to draw and direct attention and concern with confronting images and slogans. In recent years, as protests and counter-protests have partially migrated to the dig...

The grid question refers to a table layout for a series of survey question items (i.e., sub-questions) with the same introduction and identical response categories. Because of their complexity, con...

As the formation of government coalitions between two or more political parties is a typical procedure in multiparty systems after elections and the parties’ decision on what coalition to form heav...

Given the massive power of the virtual environment of online networks, the prevalence of cyberbullying and the misuse of information technology continue to increase with the development of more adv...

Child maltreatment is a global issue deeply rooted in cultural, economic, and social practices. The present study investigates the representation of child abuse in the mainstream newspapers of Paki...

Live streaming is not only a popular form of entertainment but also a channel through which streamers and users can engage in social interactions and develop social capital. The current study surve...

The COVID-19 pandemic has created complex problems that require organizations to collaborate within and across the sector line. Social media data can provide insights into how nonprofits interact f...

Social media, such as Microblogs, have become an important source for people to obtain information. However, we know little about how this would influence our comprehension over online information....

This study aims to identify effective predictors that influence publics’ emotional reactions to COVID-19 vaccine misinformation as well as corrective messages. We collected a large sample of COVID-...

As response rates continue to decline, the need to learn more about the survey participation process remains an important task for survey researchers. Search engine data may be one possible source ...

Digital competence is crucial for living, working and participating in current societies. Despite its huge importance, objective measurement tools for it are scarce due to its developmental difficu...

Research suggests that older internet users are not a homogeneous group of users, as their level of digital inclusion varies widely, depending not only on their age, but also on their socio-demogra...

In recent years, several longitudinal studies have transitioned from an interviewer-administered to a mixed-mode design, using the internet as one of the modes of data collection. However, a substa...

Most messages on social media platforms are reportedly posted by a small number of active communicators, while the great majority of users remain silent as lurkers who read but seldom write. Despit...

This article describes a unique software system for the intelligent decision-support of community workers called EVKA. Community work has been proved to be a key tool in tacking dealing social excl...

Extensive research has shown various family factors such as low family cohesion, and limited parental supervision to be associated with adolescent Internet addiction (IA). There has been little discussion about the relationship between parental IA and adolescent IA. The purpose of this study was to determine whether parental IA and parental monitoring of digital technology use interpret IA in their

Some argue that social media use displaces time that adolescents spend with friends and family and is therefore associated with lower psychological well-being. They reason that young people who experience “disconnection,” because their parents actively restrict media use, or they have limited material access to the Internet, are better protected from psychological harm. Prior research has misspecified

The current study examines recommendations for addressing organizational members who fall prey to social engineering as a matter of organizational policy through a qualitative analysis of interviews with organizational IT security administrators, IT security auditors, and social engineers. The results of this analysis indicate that participants had an aversion to punitive approaches to security failures

Topics such as disinformation, misinformation, political polarization, and populism are frequently discussed in the social media literature. The purpose of this article is to investigate how the political emphasis on social media has evolved in the academic publications published in the last decade. Thus, using co-word analysis of the social science articles published between 2012 and 2021, which discuss

The potential for being “liked” on social networking sites to increase life satisfaction and reduce loneliness was tested in a nationally representative web survey and again over time. The initial sample was matched to U.S. Census percentages for sex, race, ethnicity, age, and region of residence in October of 2019 (N = 1250). A smaller group of respondents was surveyed in January and April of 2020

With the advent of Industry 4.0, future workspaces are expected to evolve in tandem with technological advances in industry and education. Industry 4.0 calls for transformation and effective talent development is vital in ensuring national aspirations are achieved while eliminating redundancy and ensuring consistency. As such, this study aims to understand the impact of Industry 4.0 on computer engineering-related

Since the outbreak of the Covid-19 pandemic, the use of video conferences in professional settings increased rapidly. Here, we examine how individual and situational characteristics jointly predict...

This study uses novel deep learning-based language models to extract meaningful information from vast chunks of textual data from Twitter on the competing narratives of the recent Syrian immigratio...

Web surveys are becoming increasingly popular but tend to have more breakoffs compared to the interviewer-administered surveys. Survey breakoffs occur when respondents quit the survey partway through. The Cox survival model is commonly used to understand patterns of breakoffs. Nevertheless, there is a trend to using more data-driven models when the purpose is prediction, such as classification machine

The present study aimed to investigate the role of attachment styles and gender among different online addictions (social media addiction, online gaming addiction, and internet addiction) among adolescents and young adults via an online survey. The participants comprised 943 Iranian students (440 females) selected by multi-stage cluster sampling. The survey included the nine-item form of the Problematic

Blockchain technology is at the peak of hype and contemporary research area across the world. It is a distributed ledger that keeps records of transactions with verifiable and immutable structures and continuously grows with the new block of transactions. Blockchain provides better transparency, enhanced security and privacy, and true traceability over the traditional approaches. Due to its advanced

A neighborhood’s social cohesion, referring to the emotional and social connection of people within it, tends to have an influential impact on its crime level. Traditional approaches to measuring social cohesion and collective efficacy are mostly interviews and surveys, which are usually costly in time, money, and other resources. Big social media data provides us with a new and cost-effective source

Many companies have applied virtual reality (VR), a new and popular technology, to their corporate social responsibility (CSR) activities. This study examines how 360-degree VR-powered videos might further enhance consumers’ engagement in CSR activities and facilitate business outcomes during a crisis setting. The researchers conducted an online survey study, during the coronavirus (COVID-19) pandemic

Communication privacy research has employed a plethora of theoretical approaches to explain the information disclosing behavior of users. To explain information disclosure intentions in mHealth apps, this article integrates the attitude-behavior model of privacy decisions with approaches on the role of heuristics and the impact of habitual app use. Specifically, we examine the relationship between

Survey scientists increasingly face the problem of high-dimensionality in their research as digitization makes it much easier to construct high-dimensional (or “big”) data sets through tools such as online surveys and mobile applications. Machine learning methods are able to handle such data, and they have been successfully applied to solve predictive problems. However, in many situations, survey statisticians

Survey research is increasingly turning to online research and as a consequence, sampling only, or disproportionately from, households with internet access. While the percentage of non-internet households has declined, it persists at about one in ten households. This raises the question of coverage error and bias, and whether there is an approach to reduce possible biases in internet-only samples.

Information and communication technologies supported by mobile devices (laptops, smartphones, tablets) have enhanced the ability for employees to stay connected with their companies outside working hours. However, we have little understanding of the implications for employees’ subjective well-being. This paper aims to analyze the impact of two forms of digital connection on subjective well-being: online

In organizational theory, institutionalists generally make predictions of corresponding context and policy outcome based on structural processes. Psychoanalytic theory, in contrast, focuses on the rhetorical framing rather than the environment of a policy for predictive outcomes. This study aims to explore the debate over policy prediction by developing a supervised machine learning model to predict

It is well recognized that ISIS have effectively utilized several channels to disseminate their propaganda. Producing a considerable amount of unstructured data, the Al-Hayat Media Centre had a cornerstone role in the implementation of the propaganda which targeted audiences of the Western world. Although there was a considerable effort by researchers to analyse the ISIS’s online propaganda, there

The literature on the effects of incentives in survey research is vast and covers a diversity of survey modes. The mode of probability-based online panels, however, is still young and so is research into how to best recruit sample units into the panel. This paper sheds light on the effectiveness of a specific type of incentive in this context: a monetary incentive that is paid conditionally upon panel

Social networking services have been placed where people share opinions and information about various topics. These services allow users to express their opinions in direct (e.g., writing a comment or reply) and indirect ways (e.g., clicking a Like button). Based on commending, replying, and liking activities, users construct majority opinions in online environments. Previous studies examined perceptual

Over the past four decades, research on hackers has widely propagated within the social sciences. Although this area of scholarship yields rich insight into the interpersonal dynamics of hackers, research on the unique ecosystems they create and inhabit is scant in comparison. The current study aims to offer a more complete assessment of hackers’ ecosystems by incorporating the group affiliations which

Polarization of public opinion is a major issue for societies, as high levels can promote adverse effects such as hostility. The present paper focuses on the polarization of opinions regarding COVID-19 prevention measures in survey data and on Twitter in the German-speaking regions of Germany, Austria, and Switzerland. The level of polarization is measured by dispersion and bimodality in the opinions

This work analyzes the relationship between social media use and the development of internal and external political efficacy, using five 1,650-person polls conducted in 2017–2021 in the 10 most populated municipalities of in the Valparaiso Region in Chile, a country characterized by high levels of political discontent and social protests, especially in 2019. With Structural Equation Models, we report

Many decisions involve selecting among many more options than an individual can effectively examine and consider. Therefore, people usually consider smaller and different “choice sets” as viable options. To better understand the processes affecting choice-set formation, we developed a computational model of how households become aware of potential choices in a context for which understanding household

Drawing on uses and gratifications (U&G) theory, the current research investigates how social media users exploit different media affordances to satisfy their motives and how such motives are shaped by their personalities. A cross-sectional survey among college students (N = 190) was conducted to examine their most frequently used social media platforms, use motives, and perceived media affordances

Linguistic Explorations of Societies (LES) is an interdisciplinary research project with scholars from the fields of political science, computer science, and computational linguistics. The overarching ambition of LES has been to contribute to the survey-based comparative scholarship by compiling and analyzing online text data within and between languages and countries. To this end, the project has

Many cases of violence against children occur in homes and other close environments. Machine leaning is a novel approach that addresses important gaps in ways of examining this socially significant issue, illustrating innovative and emerging approaches for the use of computers from a psychological perspective. In this paper, we aim to use machine learning techniques to predict adolescents’ involvement

Various studies have shown that convicted offenders often face difficulties in finding employment. These studies, however, only examined traditional types of crime and little is known about the job opportunities of convicted cybercrime offenders. Therefore, this study examines the influences of being convicted for a cybercrime on labour market chances in the IT sector in the Netherlands. An experiment

Machine learning and other computer-driven prediction models are one of the fastest growing trends in computational social science. These methods and approaches were developed in computer science and with different goals and epistemologies than those in social science. The most obvious difference being a focus on prediction versus explanation. Predictive modeling offers great potential for improving

Intimate partner violence (IPV) is a major public health concern with serious consequences for victims’ physical and mental health. Despite the high prevalence of IPV, describing it and detecting people suffering from it is difficult due to its sensitive nature and stigma associated with it. Existing tools for screening and tracking IPV victims are laborious, time-consuming, expensive, and require

Social scientists generally take United Nations (UN) population projections as the baseline when considering the potential impact of any changes that could affect fertility, mortality or migration, and the UN typically does projections using the cohort-component method (CCM). The CCM technique is computationally simple and familiar to demographers. However, in order to avoid the exponential expansion

Employing a mobile experience sampling design, we investigated in the present study how different types of mobile social media use relate to young individuals’ momentary affective well-being and momentary loneliness. We differentiated between three types of social media use: Messaging, posting, and browsing. Moreover, we studied fear of missing out (FoMO) as a moderating variable. We collected data