Social media activism and women's health: Endometriosis awareness and support.

Objective: While endometriosis is estimated to affect 1 in 10 women globally, awareness of the disease as well as research and funding to fight the disease remains lacking as compared with other chronic diseases. This study examines how social media users utilized Instagram to raise awareness of and mobilize activism around endometriosis by analyzing prominent topics, word associations, and feminism themes in endometriosis-tagged posts on Instagram.

Methods: We used a mixed-method approach of combining computational analyses (topic modeling and word association) and human coding (qualitative thematic analysis) of Instagram posts on endometriosis.

"We are not abnormal": experiences and management of stigma among Chinese women struggling with infertility.

Background: While numerous studies have highlighted the stigma experienced by women facing infertility, there is limited research that delves into the specific types of stigmas they encounter. Despite extensive discussions surrounding the Stigma Management Communication (SMC) theory and its application in managing stigma across various contexts, its utilisation in understanding and addressing the stigma experienced by women with infertility has been largely overlooked. This study seeks to bridge this gap by identifying forms of stigma that Chinese women experiencing infertility encounter and analysing the strategies they use to manage it.

Framing a Global Pandemic: Journalism Cultures and Media Coverage of COVID-19 in China, South Korea, the United Kingdom, and the United States.

Using a computational approach, this study analyzes and compares news coverage of the novel coronavirus in six major newspapers (i.e. , , , , , and ) from four countries (i.

Public opinion outweighs knowledge: A dual-process framework for understanding acceptance of genetic modification among scientists and laypeople.

Communication research on scientific issues has traditionally relied on the deficit model, which posits that increasing scientific knowledge leads to public acceptance. However, this model's effectiveness is questioned due to inconclusive impacts of knowledge on acceptance. To address this, we propose a dual-process framework combining the deficit model (with scientific knowledge as a key predictor) and a normative opinion process model (where perceived majority opinion plays a crucial role) to predict people's risk/benefit perceptions and their support for genetic modification (GM).

Centering historically minoritized populations to design effective messages about an evidence-based policy to advance social equity.

Researchers have raised concerns that messages describing racial disparities in social outcomes can reduce or polarize support for public policies to address inequality. We questioned this assumption by testing the impact of carefully crafted messages about child tax credit (CTC) expansion. We conducted two randomized message trials, study 1 using Prolific's nonprobability panel ( = 1,402) and study 2 using SSRS's Opinion Panel, a web-based probability sample of US adults ( = 4,483).

Digital Marketing Strategies Used to Promote Waterpipe Tobacco Among Retailers and Manufacturers.

Introduction: Waterpipe tobacco (WT) is unique compared to other tobacco products. Retailers and manufacturers may promote WT products using different marketing appeals and sales propositions on popular digital marketing media. This study examined WT digital marketing content in the United States (U.

Mapping the Landscape of Digital Health Intervention Strategies: 25-Year Synthesis.

Background: Digital health interventions have emerged as promising tools to promote health behavior change and improve health outcomes. However, a comprehensive synthesis of strategies contributing to these interventions is lacking.

Objective: This study aims to (1) identify and categorize the strategies used in digital health interventions over the past 25 years; (2) explore the differences and changes in these strategies across time periods, countries, populations, delivery methods, and senders; and (3) serve as a valuable reference for future researchers and practitioners to improve the effectiveness of digital health interventions.

For Myself or for Others? The Influence of Family Communication Patterns on Family Health History Communication and Online Health Information Seeking.

With innovations in health information technology, there are increasing opportunities to search for health information online, with the potential to reduce health care costs and improve health outcomes for the family. This study aims to investigate how family communication processes influence online health information seeking for oneself (self OHIS) and for another person (surrogate OHIS). An online survey was conducted among 325 adults in China.

The combined effects of goal attributes, motivational beliefs, creativity and grit on self-regulation in online ill-structured problem solving: a fsQCA approach.

Self-regulated learning (SRL) has been regarded as one of the indispensable factors affecting students' academic success in online learning environments. However, the current understanding of the mechanism/causes of SRL in online ill-structured problem-solving remains insufficient. This study, therefore, examines the configural causal effects of goal attributes, motivational beliefs, creativity, and grit on self-regulated learning.

Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review.

Background: Natural language processing (NLP) and machine learning (ML) techniques may help harness unstructured free-text electronic health record (EHR) data to detect adverse drug events (ADEs) and thus improve pharmacovigilance. However, evidence of their real-world effectiveness remains unclear.

Objective: To summarise the evidence on the effectiveness of NLP/ML in detecting ADEs from unstructured EHR data and ultimately improve pharmacovigilance in comparison to other data sources.

Association Between Intergenerational Support, Technology Perception and Trust, and Intention to Seek Medical Care on the Internet Among Chinese Older Adults: Cross-Sectional Questionnaire Study.

Background: Avoiding technological innovation does not simplify life. In fact, using internet-based medical services can enhance the quality of life for older adults. In the context of an aging population and the growing integration of information technology, the demand for internet-based medical services among older adults is gaining increased attention.

Psychological Compensation or Drinking Poison to Quench Thirst: The Dual Effects of Smartphone Use Habits on Depression in Chinese Left-Behind Adolescents.

With the popularity of smartphones, their impact on the physical and mental health of left-behind adolescents has become the focus of social attention. Some believe that smartphone use will provide emotional compensation for left-behind adolescents, while others believe that the lack of supervision of smartphone use among left-behind adolescents will exacerbate their psychological problems. To explore the mechanisms of the dual effects, we conducted a field survey of 848 left-behind adolescents (male = 446, age between 12 and 19) in Shicheng County in Gannan Region of China.

Pathogen stress heightens sensorimotor dimensions in the human collective semantic space.

Infectious diseases have been major causes of death throughout human history and are assumed to broadly affect human psychology. However, whether and how conceptual processing, an internal world model central to various cognitive processes, adapts to such salient stress variables remains largely unknown. To address this, we conducted three studies examining the relationship between pathogen severity and semantic space, probed through the main neurocognitive semantic dimensions revealed by large-scale text analyses: one cross-cultural study (across 43 countries) and two historical studies (over the past 100 years).

Who Can Help Me? Citizens' Help-Seeking on Weibo During the Shanghai Lockdown.

Objective: In the context of the Omicron-induced lockdown in Shanghai, this paper investigated the appeals for assistance by citizens on Weibo, aiming to understand their principal challenges and immediate needs.

Methods: This paper collected Weibo posts ( 1040) containing the keyword "Shanghai Anti-epidemic Help" during the citywide lockdown. The online help requests from Shanghai citizens were analyzed across 7 dimensions, including the help sought, level of urgency, help recipient, the intended beneficiary of the help, expression, position, and emotion.

A hybrid attention generative adversarial network for Chinese landscape painting.

In traditional Chinese painting, the genre of landscapes is unique and universally valued. For an untrained person to achieve such results is very difficult, requiring mastery of such things as brushwork, composition, and color. In this paper, we propose HA-GAN to transform sketches into Chinese landscape paintings, a new GAN-based framework that builds upon a hybrid attention generator and a discriminator.

Unveiling chemical industry secrets: Insights gleaned from scientific literatures that examine internal chemical corporate documents-A scoping review.

Objective: Examine peer-reviewed scientific articles that used internal industry documents in the chemical sector to reveal corporate influence. Summarize sources of internal documents used in prior scientific papers to identify ongoing corporate strategies within the chemical field. Compare the corporate strategies identified in the chemical sector with the ones identified already identified in the pharmaceutical sector.

Study protocol: A national cross-sectional study on psychology and behavior investigation of Chinese residents in 2023.

Introduction: This study protocol specifies the primary research line and theoretical framework of the 2023 Survey of the Psychology and Behavior of the Chinese Population. It aims to establish a consistent database of Chinese residents' psychological and behavioral surveys through multi-center and large-sample cross-sectional surveys to provide robust data support for developing research in related fields. It will track the public's physical and psychological health more comprehensively and systematically.

Information propagation dynamics on heterogeneous-homogeneous coupling bi-layer networks.

The proliferation of multi-platform network information has expanded communication channels for users, enabling the integration and dissemination of information across both Social Networking Services (SNS)-type app and Instant Message (IM)-type app. With the intensification of convergent communication, some users in the two types of apps show active alternation in spreading information to each other's platforms. The study of the evolution trend of information in different platforms is of great practical significance for the mastery of the communication law.

Cyber warfare: a study of Zelenskyy's social media political performance strategies and effects.

During the Russia-Ukraine war, Ukrainian President Volodymyr Zelenskyy has strategically used social media to appeal for international support. This reflects a broader trend of political figures relying on digital platforms to shape public opinion and influence global narratives during crises. This work uses three main analysis methods, content, sentiment and social network analysis.

Impact of Artificial Intelligence-Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment.

Background: The proliferation of generative artificial intelligence (AI), such as ChatGPT, has added complexity and richness to the virtual environment by increasing the presence of AI-generated content (AIGC). Although social media platforms such as TikTok have begun labeling AIGC to facilitate the ability for users to distinguish it from human-generated content, little research has been performed to examine the effect of these AIGC labels.

Objective: This study investigated the impact of AIGC labels on perceived accuracy, message credibility, and sharing intention for misinformation through a web-based experimental design, aiming to refine the strategic application of AIGC labels.

"Feeling the Pain of Others": Examining the Framing Effects of Cancer Metaphors on Media Vicarious Traumatization.

When exposed to traumatic events through media coverage, how do we emotionally appraise the situation? Although many factors contribute to our reasoning about media vicarious traumatization, in this article we focus on the role of metaphorical frames. This study uses an online survey experiment ( = 280 CHN adults) to investigate how irrational beliefs influence the effects of metaphorical frames on media vicarious traumatization, with a focus on the mediating role of transportation. The findings revealed that journey metaphors increased media vicarious traumatization more than war metaphors in conditions of low irrational beliefs, while no significant difference was observed in conditions of high irrational beliefs.

mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders: Observational Study.

Background: Despite the increasing popularity of mobile health (mHealth) technologies, little is known about which types of mHealth system engagement might affect the maintenance of antiretroviral therapy among people with HIV and substance use disorders.

Objective: This study aimed to use longitudinal and detailed system logs and weekly survey data to test a mediation model, where mHealth engagement indicators were treated as predictors, substance use and confidence in HIV management were treated as joint mediators, and antiretroviral therapy adherence was treated as the outcome. We further distinguished the initiation and intensity of system engagement by mode (expression vs reception) and by communication levels (intraindividual vs dyadic vs network).

Designing Positive Psychology Interventions for Social Media: Cross-Sectional Web-Based Experiment With Young Adults With Cancer.

Background: Young adults (ages 18-39 years) with cancer face unique risks for negative psychosocial outcomes. These risks could be lessened with positive psychology interventions adapted for social media if intervention messages encourage intentions to do the activities and positive message reactions and if young adults with cancer perceive few downsides.

Objective: This study aimed to assess whether social media messages from evidence-based positive psychology interventions encouraged intentions to do the intervention activities and intended positive message reactions, overall and among sociodemographic or cancer characteristic subgroups.