Humans make sense of the world through narratives. Therefore, adversaries often use conflict-sustaining narratives to maintain dominance and delegitimize the actions of the rivals. To better understand narratives’ role and influence in such intractable conflicts, a computational framework and methodology are introduced. The computational cognitive model and its underlying inference mechanism allow

This article draws on an artificial intelligence (AI) technique to predict whether an individual application regarding the Turkish Constitutional Court's public morality and freedom of expression cases leding to a “violation” or a “nonviolation” decision. To this end, four different data sets have been composed, preclassification and fundamental word embeddings steps have been made on each data set

Building upon the theories of nested identity and optimal distinctiveness, this study examines the identity structure of Hong Kong Twitter users as reflected in their tweets and how their structure changed over time during the Anti-Extradition Movement. By employing semantic network analysis and discursive historical analysis, we found that the identity structure expressed by Hong Kong Twitter users

The Demographic and Health Surveys (DHS) have been carried out in over 90 countries since 1984, as interviewer administered household surveys conducted initially by paper and pencil interviews (PAPI). Computer assisted personal interviews (CAPI) were introduced in the 2004 Peru DHS, and since then numerous countries have also switched. However, DHS randomized mode comparisons have been limited. The

This volume highlights the central role of the human factor in cybercrime and the need to develop a more interdisciplinary research agenda to understand better the constant evolution of online harms and craft more effective responses. The term “human factor” is understood very broadly and encompasses individual, institutional, and societal dimensions. It covers individual human behaviors and the social

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text

This article analyzes the influence of Spanish citizens’ computer knowledge and level of education on their tolerance of, or aversion to, risk in the online purchase of goods and services. To this end, annual survey data from Spain’s National Statistics Institute were used to know the incidence in e-commerce of the following variables: “computer knowledge,” “electronic commerce,” and “socioeconomic

Due to the unpredictability of global events such as a COVID-19 pandemic, it is necessary to prepare for a crisis management strategy at the macro-level in each country to respond to crises that bring about social change. This study is designed to discover critical priorities and agendas in crisis management in Saudi Arabia by grasping the most recent social issues of the COVID-19 pandemic addressed

Signing e-petitions to foreign authorities received little attention from scholars due to the constraint of the relationship between citizenship and sovereignty. Yet, Taiwanese people constantly attempt to create and sign e-petitions to other authorities, especially during the coronavirus pandemic. The current study aims to examine this phenomenon and proposes a new concept namely international political

In higher education institutions, web surveys are frequently used for educational, research, and administrative purposes. One of the consequences of this is increasing oversurveying of higher education students, leading to low response rates. This naturally has important implications for the validity of web survey results. Consequently, we set up a methodological experiment at Tilburg University, the

Two of the most popular populations for convenience sampling used in the psychological sciences are college students and Mechanical Turk (MTurk) workers. College students represent a traditional type of convenience sample, whereas MTurk workers provide a more modern source of data. However, little research has examined how these populations differ from each other in salient characteristics. Additionally

Guided by the masspersonal communication model, this study examined the impact of the communication channel (masspersonal vs. interpersonal) and support message type on evaluation of social support message quality in Facebook settings. An online factorial experiment with 480 participants revealed that support messages sent through interpersonal channels (e.g., private messaging) were perceived as higher

This study examines the phenomena of political unfriending and content removal on social media in three Western democracies—France, the United Kingdom, and the United States. We seek to understand the role of crosscutting discussion, confrontational discussion style, and ideological extremity in triggering unfriending and content removal on social media, while shedding light on cross-country differences

Once recruited, probability-based online panels have proven to enable high-quality and high-frequency data collection. In ever faster-paced societies and, recently, in times of pandemic lockdowns, such online survey infrastructures are invaluable to social research. In absence of email sampling frames, one way of recruiting such a panel is via postal mail. However, few studies have examined how to

This article empirically revisits the idea of ideological segregation and homogeneity in social networks with an exhaustive analysis of the website Reddit.com. Using a computer-assisted analysis on a corpus of multiple billion comments, it studies the relation between the tone of comments and three political topics, immigration, macroeconomics and defense. Looking at the standard deviation of the average

The objective of the study is to determine the status of a digital financial asset and the features of its taxation in the Russian Federation and progressive countries. Currently, there are three main taxation models that are used in this area: income tax, corporate income tax, and capital gains tax. The article explores the prospects for introducing the experience of foreign countries in the Russian

The rise of social media has coincided with the emergence of an expressive citizenship model that emphasizes the role of expression in networked environments centering on personal interests. Yet relatively little is known about how civic participation might develop from daily, general social media use. Drawing on communication infrastructure theory, this study uses two-wave survey data from Taiwan

Romance fraud impacts the lives of thousands of people globally. Financial losses exceed millions of dollars each year and are steadily increasing annually. It occurs when an offender uses the guise of an intimate relationship to gain a financial advantage. Offenders use a variety of platforms and communications methods to target victims and develop the required trust and rapport to defraud them. As

By incorporating social representation theory with science communication and by using a critical milestone scientific crisis (i.e., the scandal of Chinese gene-edited human babies in 2018) as a dividing point, this study adopted a network agenda-setting approach to explore how various actors (i.e., scientists, the media, laypeople, and the government) engaged in the construction of social representations

The problematic Internet use (PIU) has become a topic of special relevance since it is a problem that affects the whole world. It has been detected that the population at greatest risk is university students along with adolescents. At the same time, Spain is one of the countries with the highest PIU rate. The purposes of this article were to analyze the presence and degree of Internet addiction among

Smartphone apps are increasingly being used for population-based survey research. Recruiting people to sign up for an app-based survey is, however, less straightforward compared to traditional surveys, which risks inflating nonresponse as well as the potential for nonresponse bias. By means of an experiment with over 44,000 recently registered job seekers, we present causal evidence on the effects

This article reviews contemporary issues in survey research, connecting established methods to innovative tools and technologies like real-time sensors and computer vision. This link takes into account the idea about the “organical” nature of Big Data, which represents a challenge toward a modernization of population studies in the light of technological innovations. The adopted dominant paradigm of

Google, a U.S. company, has made repeated requests for the cross-border transfer of the Korean map. The requests have been rejected by the South Korean government, citing security concerns for satellite imagery. This article examined the legality of this rejection based on the Security Regulations on National Spatial Information of South Korea. The legal evaluation showed that the Korean government

Based on the recent scientific literature on the social ecology of smartphone addiction, we have examined the empirical relationship between social digital pressure (SDP) and smartphone addiction by also looking at the influence of users’ personalities, psychological distress, social support, and residential social living conditions on this addiction. The analyses were carried out on a nationally representative

Cognitive pretesting is an essential method of piloting questionnaires and ensuring quality of survey data. Web probing has emerged as an innovative method of cognitive pretesting, especially for cross-cultural and web surveys. The order of presenting questions in cognitive pretesting can differ from the order of presentation in the later survey. Yet empirical evidence is missing whether the order

As technology advances, new opportunities for partners to gain power and control in their romantic relationships are readily available. New cyber-based behaviors have slowly garnered scholarly attention, but measurement-related issues have not. We take the logical next steps to (1) develop and validate a comprehensive measure of intimate partner cyber abuse (IPCA) for adults using classical test theory

The core of this article is a detailed investigation of the dispute resolution system contained within Darkode, an elite cybercriminal forum. Extracting the dedicated disputes section from within the marketplace, where users can report bad behavior and register complaints, we carry out content analysis on these threads. This involves both descriptive statistics across the data set and qualitative analysis

Since the conception and exponential growth of social networking sites (SNSs), technology has advanced sufficiently to allow access to them at any moment for any reason. This has given users a “virtual space” (VS) in which to communicate and “live” within (e.g., Facebook), a space which disparate research has shown to have an impact on users’ behaviors, thoughts, and emotions. The present study aimed

Darkweb fora dedicated to the illegal exchange of child sexual exploitation material (CSEM) continue to thrive. Profiling forum members based on their communication patterns will increase our insights in the dynamics of online CSEM and may aid law enforcement to identify those members who are most influential and pose the highest risk. The current study uses data from a large English language Darkweb

The international rise of populism has been attributed, in part, to digital media. These media allow the backers of populists to share and distribute information independent of traditional media organizations or elites and offer communication spaces in which they can support each other and strengthen communal ties irrespective of their societal standing. Can we identify these functions in distinct

Hackers often engage in website defacement early in their criminal careers to establish a reputation. Some hackers become increasingly prolific and launch a large number of attacks against their targets, whereas others only launch a few attacks before eventually desisting from a life of crime. A better understanding of why some hackers launch a large number of attacks, while others do not, will assist

Social scientists have long been interested in the motives of hackers, particularly financially motivated attackers. This article analyzes web defacements, a less studied and more public form of cyberattack, in which the content of a web page is deliberately substituted with unwanted text and graphics chosen by the perpetrator. These attacks use a variety of strategies and are performed for a variety

The aim of the study was to explore the impact of peer-reviewed psychology journals on Wikipedia articles. We are presenting a rank of academic journals classified as pertaining to psychology, most cited on Wikipedia, as well as a rank of general-themed academic journals that were most frequently referenced in Wikipedia entries related to psychology. We then compare the list to journals that are considered

Smartphones provide users with a vast array of tools to reach out to the world. Smartphones can be used to reach out interpersonally with family, friends, and acquaintances, they can be used to scroll through social networking platforms where one can post comments on a friend’s status update or read about the personal lives of their favorite celebrity, and they can be used to surf the web or read the

A growing body of research has examined the uptake of social media by politicians, the formation of communication ties in online political networks, and the interplay between social media and political polarization. However, few studies have analyzed how social media are affecting communication in parliamentary networks. This is especially relevant in highly fragmented political systems in which collaboration

Corporate social responsibility (CSR) has become a global norm for organizations to observe. In today’s shifting media landscape, social media influencers (SMIs) have become central actors in social-mediated CSR communication, connecting organizations and stakeholders by endorsing organizational CSR initiatives through self-generated messages. This study aimed to investigate how SMIs succeeded in creating

Panel attrition poses major threats to the survey quality of panel studies. Many features have been introduced to keep panel attrition as low as possible. Based on a random sample of refugees, a highly mobile population, we investigate whether using a mobile phone application improves address quality and response behavior. Various features, including geo-tracking, collecting email addresses and adress

The social aspect of human functioning seems to play a considerable role in the explanation of the Facebook intrusion phenomenon. The present article examines the relation between social support and Facebook intrusion, with hope of success and positive orientation controlled for. We administered the Facebook Intrusion Questionnaire, the Multidimensional Scale of Perceived Social Support, the Positive

While online panels offer numerous advantages, they are often criticized for excluding the offline population. Therefore, some probability-based online panels have developed offline population inclusion strategies. Two dominant approaches prevail: providing internet equipment and offering an alternative survey participation mode. We investigate the impact of these approaches on two probability-based

While criminality is digitizing, a theory-based understanding of the impact of cybercrime on victims is lacking. Therefore, this study addresses the psychological and financial impact of cybercrime on victims, applying the shattered assumptions theory (SAT) to predict that impact. A secondary analysis was performed on a representative data set of Dutch citizens (N = 33,702), exploring the psychological

Online discussions are performed in the gaze of fellow users. To increase engagement, platforms typically let these users evaluate the comments made by others through rating systems (e.g., via Likes or Down/Up votes). Understanding how such ratings shape, and are shaped by, features of the underlying discussion is important for our understanding of online behavior. In this study, we focus on an increasingly

With the rapid development of artificial intelligence (AI), countries are increasingly adopting AI-guided chatbots to improve service on government portals. The reduction in face-to-face services under COVID-19 pandemic will further accelerate this trend. However, the adoption and performance of the existing chatbots differ. Based on the literature on e-government adoption and innovative policy innovation

The spatial pattern of geotagged tweets reflects the dynamic distribution of the ambient population during day and night as a result of people’s routine activities. A few studies have assessed the impact of tweets-derived ambient population on crime and the spillover effect of such impact at different spatial and temporal scales. However, none has revealed the intraday variation of such spillover effect

Computational artificial intelligence (AI) algorithms are increasingly used to support decision making by governments. Yet algorithms often remain opaque to the decision makers and devoid of clear explanations for the decisions made. In this study, we used an experimental approach to compare decision making in three situations: humans making decisions (1) without any support of algorithms, (2) supported

While there is growing consensus that the analytical and cognitive tools of artificial intelligence (AI) have the potential to transform government in positive ways, it is also clear that AI challenges traditional government decision-making processes and threatens the democratic values within which they are framed. These conditions argue for conservative approaches to AI that focus on cultivating and

The increasing volume of “Big Data” produced by sensors and smart devices can transform the social and behavioral sciences. Several successful studies used digital data to provide new insights into social reality. This special issue argues that the true power of these data for the social sciences lies in connecting new data sources with surveys. While new digital data are rich in volume, they seldomly

Despite the current popularity of artificial intelligence (AI) and a steady increase in publications over time, few studies have investigated AI in public contexts. As a result, assumptions about the drivers, challenges, and impacts of AI in government are far from conclusive. By using a case study that involves a large research university in England and two different county councils in a multiyear

Analyzing issue cycles usually begins with observing selected events and then tracking the course of media coverage. This approach collapses when the events of interest are hidden, overlain, or even distorted by extensive coverage of other events. One such complicated case is news about terrorism in Africa. While previous studies have started from single media hypes, we propose modeling the general

The introduction of robotic process automation (RPA) into the public sector has changed civil servants’ daily life and practices. One of these central practices in the public sector is discretion. The shift to a digital mode of discretion calls for an understanding of the new situation. This article presents an empirical case where automated decision making driven by RPA has been implemented in social

There is great interest to use artificial intelligence (AI) technologies to improve government processes and public services. However, the adoption of technologies has often been challenging for public administrations. In this article, the adoption of AI in governmental organizations has been researched as a form of information and communication technologies (ICT)–enabled governance innovation in the

This study utilizes acceleration data from smartphone sensors to predict motion conditions of smartphone respondents. Specifically, we predict whether respondents are moving or nonmoving on a survey page level to learn about distractions and the situational conditions under which respondents complete smartphone surveys. The predicted motion conditions allow us to (1) estimate the proportion of smartphone

Organizational citizenship behavior (OCB) is vital for continuous organizational growth and development. OCB also plays an evident role in advancing the quality of health care services and practicing OCB in hospitals can be useful. Although OCBs’ contributing factors have been studied in Jordan in earlier researches, the utilization of OCB in health sector is still a new topic. Therefore, this article

Internet-enabled smartphones and wireless communication technologies are opening new ways to conduct web-based self-administered data collection for academic or nonacademic research. Considering the relative advantages of self-administration such as the low cost, overall convenience, and collection of better data about sensitive topics, survey researchers are eager to explore conducting national web

Public opinion literature on conspiracy theories mainly focuses on individual and contextual factors predicting people’s beliefs in conspiratorial news. However, little research to date has considered the role of the source of the news, and its interaction with the news content, in explaining people’s receptivity to those narratives. By employing a survey experiment on a sample of U.S. citizens, we

The similarity between pairs of people is often measured on relatively static traits and at a given point in time. Moving beyond this approach, a burgeoning line of research is investigating temporal dyadic similarity on traits and behaviors, such as health activities. Our study contributes to this line of inquiry by using fine-grained longitudinal data obtained from sensors, mobile devices, and surveys

With nearly all political candidates, officeholders, and organizations using the platform, Twitter has become an important venue for political communication and engagement. In particular, Twitter lowers the cost of entry for political activity, with the result that millions of people follow and interact with political elites online. However, most studies of the political uses of twitter focus on the

This study was aimed to contribute to understanding how networked yet fragmented online actors create meaning in digital media–enabled movements like #MeToo. By drawing upon a multidimensional framing analysis, this study investigated how personal action frames, collective action frames, and issue-specific frames were adopted in #MeToo movement in China, and it also shed light on how different groups

Studies examining the similarity of online self-report survey responses using different item formats have yielded inconclusive results. Additionally, no studies have used appropriate methods for thoroughly and correctly examining equivalence across conditions. We examined the comparability of survey responses across four item formats—horizontal radio button, text box, drop-down menu, and vertical radio

With the increasing use of smartphones in web surveys, considerable efforts have been devoted to reduce the amount of screen space taken up by questions. An emerging stream of research in this area is aimed at optimizing the design elements of rating scales. One suggestion that has been made is to completely abandon verbal labels and use only numeric labels instead. This approach deliberately shifts

As smartphones become increasingly prevalent, social scientists are recognizing the ubiquitous data generated by the sensors built into these devices as an innovative data source. Passively collected data from sensors that measure geolocation or movement provide an unobtrusive way to observe participants in everyday situations and are free from reactivity biases. Information on day-to-day geolocation