Purpose The spread of rumors on social media has caused increasing concerns about an under-informed or even misinformed public when it comes to scientific issues. However, researchers have rarely investigated their diffusion in non-western contexts. This study aims systematically examine the content and network structure rumor-related discussions around genetically modified organisms (GMOs) Chinese media. Design/methodology/approach identified 21,837 posts GMOs Weibo, one China's most...

Although studies have investigated cyber-rumoring previous to the pandemic, little research has been undertaken study rumors and rumor-corrections during COVID-19 (coronavirus disease 2019) pandemic. Drawing on prior about how online stories become viral, this will fill that gap by investigating retransmission of corrective messages Sina Weibo, largest most popular microblogging site in China. This examines impact rumor types, content attributes (including frames, emotion, rationality),...

Electronic health records (EHRs) are a valuable source of information that can aid in understanding patient's condition and making informed healthcare decisions. However, modelling longitudinal EHRs with heterogeneous is challenging task. Although recurrent neural networks (RNNs), which current artificial intelligence (AI) models, have the capability to capture information, their explanatory power limited. Predictive clustering recent development this field, provides cluster-level...

Recommender systems (RSs) provide an effective way of alleviating the information overload problem by selecting personalized choices. Online social networks and user-generated content diverse sources for recommendation beyond ratings, which present opportunities as well challenges traditional RSs. Although matrix factorization (Social MF) can integrate ratings with relations topic item reviews, both them ignore some useful information. In this paper, we investigate data fusion combining two...

This study adopted a quantitative content analysis to examine how source attributes of opinion leaders and their message framing influenced user engagement in the public discourse genetically modified organism (GMO) on Chinese social media. The findings showed that different frames used by varied respective influences three dimensions engagement—reposts, comments, likes. attribute account verification only predicted surface-level (i.e., liking), whereas type significantly in-depth reposting...

Chatbots have been widely adopted to support online customer service and supplement human agents. However, data transmission may involve privacy issues arouse users' concerns. In order understand the management mechanism when interacting with chatbots agents, we designed a cross-national comparative study conducted experiments in China United States based on Communication Privacy Management (CPM) theory. The results show that concerns boundary linkage played different mediation roles between...

This study compares different sampling methods and sample sizes in the selection of daily newspapers China for content analysis news. Results show that method constructed week is more efficient than simple random or consecutive day sampling, a single allows reliable estimates news population six months newspaper editions even highly volatile variables. The weekday-plus-Saturday an often-used stratification approach analyses Chinese newspapers, however, requires larger size, depending on...

Profanity, also known as swearing, refers to the use of foul language that is often linked incivility. In Chinese digital space, state government actively censors profanity under rationale protecting online civility. This study examines diffusion in Sina Weibo, one largest social media platforms. The applied computational methods reconstruct cascade networks swearing and non-swearing posts analyzed network processes based on a set structural metrics including reposting depth, width,...

Target-specific stance detection on social media, which aims at classifying a textual data instance such as post or comment into class of target issue, is an emerging opinion mining paradigm importance. An example application would be to overcome vaccine hesitancy in combating the coronavirus pandemic. Existing strategies rely merely individual instances cannot always capture expressed given target. We address new task called conversational (CSD) infer toward (e.g., COVID-19 vaccination)...

Existing studies showed inconsistent results about whether and how attribution patterns differ across cultures. We reviewed three different theoretical approaches in this study: the relative self-enhancement approach, universal approach cognition found that each has received empirical support informed competing hypotheses. Hence, main goal of study is to investigate simultaneously using experimental data explore these explain behavior cultures a qualitatively manner. In Study 1, we recruited...

Quantifying aortic valve calcification is critical for assessing the severity of stenosis, predicting cardiovascular risk, and guiding treatment decisions. This study evaluated feasibility a deep learning-based automatic quantification using contrast-enhanced coronary CT angiography compared results with manual calcium scoring. A retrospective analysis 177 patients undergoing stenosis evaluation was conducted, divided into development set (n = 97) an internal validation 80). The DeepLab v3 +...

The rapid spread of health misinformation on social media poses significant challenges to public crisis. Mpox has portrayed it as exclusively a sexually transmitted infection, resulting in misperceptions about infection risk and stigmatization affected groups. This study aimed evaluate the effectiveness different correction approaches message framing reducing misperception shaping disease-related attitudes, both immediately after exposure 1-day delay. We employed 2 × design with control...

The pandemic provides a unique research context for examining prosocial responses manifested through information behaviours towards false information. present study aims to investigate the influencing mechanisms of prosociality fake news correction under COVID-19 settings. We investigated mediating links between individual’s personal participation with sharing news, emerged awareness prevalence and subsequent protective intent counteract as illustrated in an experience–awareness–coping...

This study compares press coverage of climate change in the US, UK and China from a longitudinal perspective, through combination computer-assisted quantitative linguistic analysis critical discourse analysis. Specifically, we examine extent to which these three countries portray similarly or differently, further explore how moral reasoning – growing area research communication may shape media portrayal issue across different cultures. There have been few scholarly inquiries examining is...

To analyze the size and location distribution of ruptured intracranial aneurysms (IAs) helps to provide evidence for clinical treatment unruptured IAs using this feature aneurysms. In study, 415 patients who presented with an acute subarachnoid hemorrhage caused by were enrolled from eight tertiary referral centers between June 2016 March 2018. The size, aspect ratio anatomic defined reported patient sex. study cohort (60.5% women) saccular IAs, three most common locations posterior...

China has regularly claimed to have been intentionally and systematically misrepresented by Western media. That said, their general characterization of is said see improvement with the initial impetus coming from Beijing’s hosting Olympic Games in 2008. China’s representation media now entered what many observers considered be an ‘age uncertainty’, it differs greatly projected self-image. This study examines US, UK versus Chinese coverage ‘China’s rise’ 2009 2017. Our analysis entails a 2.2...