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Experiencing stigma after abortion may decelerate the accumulation of human capital. Despite the importance of studying the relationship between religiosity and abortion stigma, the topic is understudied, especially in Islamic contexts. Abortion was legalized in Iran in 2005. Under the new law, far more cases are allowed for abortion. This change provided an opportunity to explore the interplay of abortion stigma, legalization and religiosity in Iran.

Using regression analysis based on 291 completed questionnaires from two cities in Iran, this study analyzes the relation between abortion stigma level and religiosity in Iran, controlling for contextual and individual variables. The time trend is also identified. The authors use different manifestations of abortion stigma as dependent variables.

The authors found that abortion stigma and its two manifestations decreased after the new law, suggesting that its legalization might have caused abortion stigma to decrease gradually. Another finding of this study is that the correlations between abortion stigma (internalized stigma) and individual religiosity level are meaningful and positive; religious people feel higher levels of abortion stigma.

The study supports the idea that effective health regulations (in the specific case of abortion) would result in less cost/risk of social issues like stigma. Policymakers in religious societies must pay more attention to the specific case of abortion stigma since it is very important for the mental health of women who think of abortion and/or select it.

The aim of the text is to reflect on the formation of the so-called digital echo chambers or filter bubbles, which are environments formed around particular topics whose objective is to promote a given political-ideological position. The argument the author puts forward is that echo chambers are social systems of interaction created to deal with the process of informational overload brought about by the consolidation of digital media in people’s daily lives.

The author used Niklas Luhmann’s theory of social systems to explain what the author is calling social systems of interaction. Furthermore, the author made clarifications about: (1) the current debate regarding echo chambers; (2) what is the concept of “information” that the author is using to formulate the proposition and (3) what is the specificity that digital media bring when the author talks about informational overload and about the formation of echo chambers.

The author concluded that echo chambers can be seen as digital interaction systems, but the concept of “interaction” must be adapted. The author also concluded that echo chambers help society to deal with the phenomenon of informational overload.

There are few works which try to make a detailed analysis of echo chambers from a Luhmannian perspective. With the propositions presented in this text, along with other writings of the own, the author gives an important step in that direction by introducing the topic in the social systems researchers community.

This paper aims to examine how and why consumers respond to chief executive officer (CEO) activism on social media. The authors developed a conceptual model that proposes impression management as a mechanism for consumer response to CEO activism.

In Study 1a, the authors examined 83,259 tweets from 90 CEOs and compared consumer responses between controversial and noncontroversial tweets. In Study 1b, the authors replicated the analysis, using a machine-learning topic modeling approach. In Studies 2 and 3, the authors used experimental designs to test the theoretical mechanism.

On average, consumers tend to respond more to CEO posts dealing with noncontroversial issues. Consumers’ relative reluctance to like and share controversial posts is motivated by fear of rejection. However, CEO fame reverses this effect. Consumers are more likely to engage in controversial activist threads by popular CEOs. This effect holds for consumers high (vs low) in public self-consciousness. CEO fame serves as a “shield” behind which consumers protect their online image.

The study focused on Twitter (aka “X”) in the USA. Future research may replicate the study in other social media platforms and countries. The authors introduce “shielding” – liking and sharing content authored by a recognizable source – as a tactic for impression management on social media.

Famous CEOs should speak up about controversial issues on social media because their voice helps consumers engage more in such conversations.

This paper offers a theoretical framework to understand consumer reactions to CEO activism.

This paper aims to describe the unique health challenges facing female commercial sex workers (FSWs), including issues related to their marginalisation and difficulty accessing health care. It proposes solutions to some of these problems.

This paper addresses this sensitive subject through the methodology of a literature review, drawing on a variety of relevant published literature to inform a modern understanding of the current health challenges faced by this population.

This paper discusses issues around criminalisation of commercial sex workers, complexities of family planning, sexually transmitted infection prevention, mental health and substance abuse and how increasing health-care worker awareness of the health needs of this vulnerable population can be a positive step in building trust within this relationship. Although adoption of the proposed recommendations put forth in this paper may help to eliminate some of the barriers encountered by female sex workers, further research is recommended.

The subject of commercial sex worker health care is neglected in the academic literature. This review explores the topic in an open and balanced manner and presents a broad and updated overview of the current health-care challenges faced by FSWs as well as opportunities for optimising access and quality of sex worker health care.

Drawing on research in the social psychology and political science literatures, this research aims to examine how political moderates perceive, and are perceived by, their co-workers with differing political ideologies in an organisational context, with a focus on the perceptions of social status.

To test the hypotheses regarding the social status perceptions of and by political moderates in the workplace, the authors conducted an online experiment in which working adults read a hypothetical workplace scenario and then assessed the social status of a co-worker based on the political ideology of that co-worker.

The results largely supported the two hypothesised asymmetries of social perceptions of and by political moderates in an organisational context. Specifically, political moderates were perceived to have higher social status by their moderate and conservative co-workers than by their liberal co-workers. In addition, political moderates perceived moderate co-workers to have higher social status than conservative ones.

This research investigates the influence of political ideology on social status perceptions in organisations by focusing on the previously underexamined political moderates. The findings illustrate the importance of political moderates, who tend to espouse a moderate level of resistance to social change, in the process of developing a functional hierarchy and balancing change and stability in organisations.

The Covid-19 pandemic has persisted for almost three years. States have since then enforced laws, policies and measures believed to be the most effective to handle the global pandemic. Along this line, the Indonesian Government opted to implement mandatory vaccination and refusal of which entails monetary penalties. Hence, this study aims to analyze two legal issues that touch upon the realm of International Human Rights Law: first, whether state has the authority to implement the said mandatory vaccine program to those who refuse to be vaccinated, and second, how is the more appropriate legal policy to obligate vaccination but without coercive sanction.

This is a normative legal research that uses a qualitative method with case studies, conceptual, historical and comparative approaches. A descriptive-analytical deduction process was used in analyzing the issue.

The results present, as part of state’s right to regulate, it has the authority to enact mandatory vaccination with monetary penalties to fulfil its obligation to protect public health in times of emergency; this is legal and constitutional but only if it satisfies the requirements under the International Human Rights Law: public health necessity, reasonableness, proportionality and harm avoidance. Alternatively, herd immunity is achievable without deploying unnecessary coercive sanctions, such as improving public channels of communication and information, adopting legal policies that incentivize people’s compliance like exclusion from public services, subsidies revocation, employment restrictions, higher health insurance premiums, etc.

This study analyzes in depth the following issues: of whether the government has the authority to apply mandatory vaccination laws enforced through monetary penalties for those who refused to be vaccinated and how does the government implement the appropriate legal policy to enforce mandatory vaccination without imposing penalties for non-compliance while maintaining a balance between the interests of protecting public health and the human rights of individuals to choose medical treatment for themselves, including whether they are willing to be vaccinated. Hence, the political affairs, economic matters and other non-legal related issues are excluded from this study.

This paper hence offers a suggestive insight for state in formulating a policy relating to the mandatory vaccination program. Although the monetary penalties do not directly violate the rule of law, a more non-coercive approach to the society would be more favorable.

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts to determine whether article-level computations are better than computations on the whole of the data for computing such measures.

The complete publication records for the year 2016 indexed in Web of Science and their altmetric data (original tweets) obtained from PlumX are obtained and analysed. The creation date of articles is taken from Crossref. Two time-dependent variables, namely, half-life and VI are computed. The altmetric measures are computed for all articles at different observation points, and by using whole group as well as article-level averaging.

The results show that use of longer observation period significantly changes the values of different altmetric measures computed. Furthermore, use of article-level delineation is advocated for computing different measures for a more accurate representation of the true values for the article distribution.

The analytical results show that using different observation periods change the measured values of the time-related altmetric measures. It is suggested that longer observation period should be used for appropriate measurement of altmetric measures. Furthermore, the use of article-level delineation for computing the measures is advocated as a more accurate method to capture the true values of such measures.

The research work suggests that altmetric mentions accrue for a longer period than the commonly believed short life span and therefore the altmetric measurements should not be limited to observation of early accrued data only.

The present study indicates that use of altmetric measures for research evaluation or other purposes should be based on data for a longer observation period and article-level delineation may be preferred. It contradicts the common belief that tweet accumulation about scholarly articles decay quickly.

Several studies have shown that altmetric data correlate well with citations and hence early altmetric counts can be used to predict future citations. Inspired by these findings, majority of such monitoring and measuring exercises have focused mainly on capturing immediate altmetric event data for articles just after the publication of the paper. This paper demonstrates the impact of the observation period and article-level aggregation on such computations and suggests to use a longer observation period and article-level delineation. To the best of the authors’ knowledge, this is the first such study of its kind and presents novel findings.

This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online characteristics.

This study gathers a large Twitter dataset comprising political discussions across various topics from general users. It utilizes an unsupervised machine learning algorithm with pre-defined language features to detect language styles in political discussions on Twitter. Furthermore, it employs a multinomial model to explore the relationships between language styles and users' online characteristics.

Through the analysis of over 700,000 political tweets, this study identifies six language styles: mobilizing, self-expressive, argumentative, narrative, analytic and informational. Furthermore, by investigating the covariation between language styles and users' online characteristics, such as social connections, expressive desires and gender, this study reveals a preference for an informational style and an aversion to an argumentative style in political discussions. It also uncovers gender differences in language styles, with women being more likely to belong to the mobilizing group but less likely to belong to the analytic and informational groups.

This study provides insights into the psychological mechanisms and social statuses of users who adopt particular language styles. It assists political communicators in understanding their audience and tailoring their language to suit specific contexts and communication objectives.

This study reveals gender differences in language styles, suggesting that women may have a heightened desire for social support in political discussions. It highlights that traditional gender disparities in politics might persist in online public spaces.

This study develops a computational methodology by combining cluster analysis with pre-defined linguistic features to categorize language styles. This approach integrates statistical algorithms with communication and linguistic theories, providing researchers with an unsupervised method for analyzing textual data. It focuses on detecting language styles rather than topics or themes in the text, complementing widely used text classification methods such as topic modeling. Additionally, this study explores the associations between language styles and the online characteristics of social media users in a political context.

This article analyzes the relationships between different conceptions of time, socioeconomic development and cultural values.

We focus on three major aspects of time, namely, 1) duration, 2) orientation and 3) tempo. Furthermore, we draw on modernization theory to distinguish between agrarian/traditional and industrial/modern societies and their respective cultural values.

Analyses indicate that agrarian/traditional societies with cultural values such as collectivism, survival, religiosity and hierarchical structures are marked by subjective/cyclical/inaccurate, past-oriented and slow-paced conceptions of time. In contrast, industrial/modern societies with cultural values such as individualism, self-expression, secularism and egalitarianism are marked by objective/linear/accurate, future-oriented and accelerated conceptions of time.

This paper introduces an original conceptualization of the three dimensions of time – duration, orientation and tempo – previously overlooked in the literature. Additionally, it provides an in-depth and comprehensive analysis of the relationships between time, culture and socioeconomic development.

This content analysis examines the historical representation of Margaret Sanger within trade books. From the framework of the historiography, this paper unpacks how common curricular resources depict an American icon with a complicated past.

In this paper, the author conducted a content analysis of biographies and expository compilations featuring Sanger. The entire data pool were sampled and analyzed.

The trade books, particularly the biographies, historically represented Sanger in most categories. Sanger's international direct action and eugenics were two misrepresented areas. Expository compilations, with more limited space than biographies, contained more omissions and minimized or vague depictions of key areas. Findings did not appear dependent upon date of publication.

This study explores an icon of America's free speech battles and birth control rights at a time when culture wars are shaping current events. No researchers have previously explored Sanger's historical representation within trade books.