Text analysis has been used by scholars to research attitudes toward vaccination and is particularly timely due the rise of medical misinformation via social media. This study uses a sample 9581 vaccine-related tweets in period January 1, 2019 April 5, 2019. The time essence because during this time, measles outbreak was prevalent throughout United States public debate raging. Sentiment applied sample, clustering data into topics using term frequency-inverse document frequency (TF-IDF)...

We examine how social media plays the role of an attention driver for traditional media. Social attracts and channels to a topic. This triggers people seek further information that is reported professionally in Specifically, volume posts about stock influences this next day, proxied by viewership news articles on same published day. test hypothesis market context because less likely than diffuse fundamental market. Analysing stock-related from Sina Finance Weibo, we find post at time t-1...

Corporations have embraced the idea of corporate environmental, social, and governance (ESG) under general framework sustainability. Studies measured analyzed impact internal sustainability efforts on performance individual companies, policies, projects. This exploratory study attempts to extract useful insight from shareholder resolutions using machine learning-based text analytics. Prior research has studied disclosures public reports. By studying resolutions, we gain into shareholders’...

Abstract Richer forms of online reviews such as videos or follow‐on convey ‘additional information and can attract consumers’ attention. However, prior studies focused mostly on the relationship between aggregated sales. This paper investigates impact review richness (i.e., containing reviews) Leveraging attribute substitution theory, we conjecture that provide heuristic cues in shopping environment to help consumers make better purchase decisions. Using data from JD.com , found either...

Abstract Mass media sentiment of financial news significantly influences investment decisions investors. Hence, studying how this emerges is important. In years past, was straightforward, often dictated by journalists who cover news, but has become more complex now. paper, we focus on social affects mass sentiment. Using data from Sina Weibo and Finance (around 60 million weibos 6.2 articles), show that does influence emergence for news. The consistency between reaction prior articles...

In computing, research findings are often anecdotally faulted for not being reproducible. Numerous empirical studies have analyzed the reproducibility of a variety research. Our objective, in this study, is to quantify current state computing based on prior research, using three factors—Method, Data and Experiment—to measure different degrees reproducibility. Twenty-five variables traditionally utilized document identified grouped into factors, namely Method, Experiment. These describe...

The purpose of this study was to investigate the expression miR-499a-5p in children with autism spectrum disorders (ASD) and its value early diagnosis ASD. This is a retrospective case–control that included 40 ASD as case group 43 healthy control group. Magnetic resonance imaging (MRI) performed on all subjects, were scored childhood rating scale (CARS) behavior checklist (ABC). serum detected by RT-qPCR, diagnostic evaluated ROC curve. Pearson correlation coefficient used evaluate between...

This article examines the “chicken‐egg” two‐way relationships between online consumer reviews and sales, assesses dual influencer indicator roles of in relation to purchase behavior. Considering time factor, we adopt methodology Granger causality test track 3,390 products on Amazon.com over a 2‐month period. The results reveal that loop exists review volume sales. Specifically, our findings indicate negative drive consumers' purchasing decisions, but positive consumers only marginally...

This article introduces a large-scale virtual hackathon where we observed the way participants found collaborators and undertook innovation processes entirely in world. As an emerging social-technical practice, leverages power of familiar strangers, improvisation low-cost digital services, crowdsourcing mechanism to enable open under constraint physical distancing. study contributes research by introducing conceptualizing modified artifact – hackathon. The implication lessons learnt from are...

Sharing economy online labor platforms play a critical role in bringing together freelancers and potential employers. This research is one of the few studies to address how freelancers’ characteristics impact likelihood being hired by employers using theory person–environment fit as broad framework. Using Freelancer data, this investigates if country residence (of freelancer employer), amount earned, time since registered on platform, are associated with employment decision. The results...

When a crowd's motivations are not triggered, they may necessarily commit their best efforts, even if have the knowledge to answer an open call. Drawing on incentive theory, we introduce top-down process model for online crowdsourcing campaign that addresses motivations. This is in contrast traditional bottom-up model, where crowd self-selects call based knowledge. We adopt longitudinal case study method and examine two campaigns represent both models. The findings suggest follows generated...

Several months ago, when Jakob, Timothy and I were planning this spring's issue of the JBA, we realised that would probably have two articles ready for publication on professional people-architects fashion designers-regarded as "creative."So, in an attempt to overcome randomness journal submissions create a thematic flow our readers, decided seek opinions creativity innovation from people business world academics who make it their conduct research them.The results are here before...

Since the analytical solution of stochastic age-structured human immunodeficiency virus/acquired immune deficiency syndrome model is difficult to solve, establishing an efficient numerical approximation important way predict dynamic behavior model. In this article, a full-discrete scheme proposed, where Galerkin finite element method and positivity preserving truncated Euler–Maruyama are used discrete age variable time variable, respectively. The error between analyzed. Finally, theoretical...

Tenofovir alafenamide fumarate (TAF) is rising as a mainstay antiretroviral agent for the treatment of HIV and chronic HBV infections. A de novo practical synthesis TAF circumventing tenofovir (PMPA) has been accomplished on 7 g scale. This reimagined TAF, inspired by hitherto uncharted retrosynthetic disconnection, centers P-alkylation silylated diphenyl phosphonate 11 (as acceptor) with methylthiomethyl (MTM) ether derivative 12 donor) in presence NIS/TfOH combination promoter to construct...

Comprehending the characteristics or potential benefits of global mobility scientists has been inadequate from academic/practical perspectives. The authors attempt to fill a theoretical gap by focusing on nature/dimensions highly educated people other countries. They analyze data Open Researcher and Contributor ID-ORCID database examine as well propensity these qualified individuals migrate. Using 6000 migration records PhDs 194 countries, utilize visual analytics explore various dimensions...