Social Media Survey Research Articles

Augmenting surveys with social media discourse on the workings of democracy from a cross-national perspective

This paper introduces an unsupervised framework that illustrates how insights gathered from opinion surveys regarding the functionality of democracy can be connected to social media messages of politicians on an international scale. By concentrating on the influence of social media messages from elected officials, the study adopts a “top-down” theoretical approach that links citizens’ attitudes towards democracy with the viewpoints about democracy expressed by politicians within social media discourses. Using a word embedding classification strategy, democracy-related themes are extracted from politicians’ messages. The research is conducted across 11 European countries, namely, Austria, Finland, France, Germany, Greece, Italy, the Netherlands, Spain, Sweden, and the United Kingdom. Switzerland is also included in the study because of its direct democracy system. The 10th round of the European Social Survey serves as the basis for assessing citizens’ democratic attitudes. The study encompasses two main analytical segments. First, aggregated analyses conducted at the country level reveal the degree of alignment between prominent democracy-related themes present in politicians’ discourse and citizens’ perceived significance of these same themes. Second, individual-level connections between social media data and survey respondents are established through their preferred political party (or orientation). Variable importance analysis is subsequently applied to explore which democracy-related themes conveyed by politicians hold significance in predicting public contentment with democracy.

Leveraging social media for resident training in developing countries: A case study of Libya.

Social media platforms have emerged as invaluable tools for remote training in resource-constrained countries. This study presents the development, implementation, and preliminary assessment of a remote intensive care unit (ICU) training program conducted in Libya utilizing social media platforms. This educational initiative was based on the Checklist for Early Recognition and Treatment of Acute Illness and iNjury (CERTAIN) program, targeting Libyan resident physicians. The initiative comprised a series of live-streamed pulmonary/critical care lectures and asynchronous discussion of clinical cases via a private messaging chat. Participant engagement, satisfaction, and learning outcomes were evaluated using social media analytics and surveys. A total of 323 learners joined the Libyan ICU training program chat group, and two tele-education sessions were broadcast, accumulating a total of 749 views. The majority (72.6%) of learners had graduated from medical school within the past five years and were in residency training. Clinical cases and learning materials were shared through 2,991 messages in the chat group. Learners' objective and subjective clinical knowledge improved after each tele-education session, and 88% of survey respondents rated the remote ICU training program as excellent. This study highlights the potential of using widely available social media platforms for remote ICU education in resource-limited settings.

Interactive Media-Based Approach for an Exception From Informed Consent Trial Involving Patients With Trauma

Exception From Informed Consent (EFIC) research requires community consultation (CC) and public disclosure (PD). Traditional methods of conducting CC and PD are slow, expensive, and labor intensive. To describe the feasibility and reach of a novel interactive, media-based approach to CC and PD and to identify the similarities and differences between trial sites in website views, survey responses, online community forum attendance, and opt-out requests. This survey study analyzed the CC and PD campaigns conducted for the TAP trial (Evaluation of BE1116 in Patients With Traumatic Injury and Acute Major Bleeding to Improve Survival), an EFIC trial of the early administration of prothrombin complex concentrate in patients with trauma. The CC and PD campaigns consisted of social media advertisements, linked websites, community surveys, and online community forums. These activities were coordinated from a central site and approved by a central institutional review board. This study focused on the first 52 of 91 TAP trial sites (level I trauma centers) in the US to have completed their CC and PD campaigns. Community members in the catchment areas of the participating trauma centers were targeted. Data analysis was conducted between October 2023 and February 2024. Social media advertisements, surveys, and online community meetings conducted as part of the CC and PD campaign for the TAP trial. Social media campaign reach and engagement, web page views, survey results, online community forum attendance, and opt-out requests. Fifty-two trial sites were approved for participant enrollment. Social media advertisements were displayed 92 million times, reaching 11.8 million individuals. The median (IQR) number of people reached in each location was 210 317 (172 068-276 968). Site-specific websites were viewed 144 197 times (median [IQR] viewings per site, 2984 [1267-4038]). A total of 17 206 fully or partly completed surveys were received, and survey respondents had a median (IQR) age of 40.1 (15-65) years and included 10 444 females (60.7%). Overall, 60.6% survey respondents said they would want to be entered into the trial even if they could not give consent, 87.7% agreed that emergency care research was necessary, and 88.0% agreed that the TAP trial should be conducted in their community. Online community forums were attended by a median (IQR) number of 38 (20-63) people. Four opt-out requests were received. The interactive media-based approach to CC and PD for the ongoing TAP trial showed the feasibility and benefits of executing an efficient, coordinated, centrally run series of locally branded and geographically targeted CC and PD campaigns for a large EFIC study.

Generational Exploration on Aesthetic Medicine Products: Influence of Social Media, Reviews, and Brand Identity-GEMS Bond Survey.

The study investigates the impact of social media reviews and brand identity on consumer preferences in the non-surgical aesthetics products across different generations. It highlights the evolving landscape of aesthetic medicine and surgery, driven by technological advancements and a cultural shift towards individual well-being. The research aims to explore the interplay between generational preferences, the influence of social media, and the role of brand identity in shaping consumer decisions. A cross-sectional study design was employed, with a sample size of > 5000 participants stratified across various generational cohorts. The study utilized an online questionnaire to capture both quantitative and qualitative insights into consumer behaviour, with statistical analysis performed to identify patterns and relationships. Analysis of 5850 responses revealed distinct generational preferences and behaviours. Social media engagement varied significantly across generations, with younger cohorts placing a higher emphasis on online reviews. The study also found that brand identity's influence is diminishing in decision-making processes, with consumers increasingly relying on peer reviews and social media content. The findings highlight a pivotal shift in the non-surgical aesthetics consumer market, emphasizing the growing importance of social media and peer reviews over traditional brand identities. Importantly, the study underscores the critical need for integrating patient safety and evidence-based practice within marketing strategies. As consumer preferences evolve towards valuing transparency and authenticity, non-surgical aesthetics providers must prioritize these elements, ensuring that their services are not only appealing but also grounded in safety and scientific validity. "This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 ."

Human papillomavirus vaccine beliefs and intentions Post-COVID-19 vaccine release among mothers in Alabama

PurposeThe current study sought to determine if the release of COVID-19 vaccines influenced Alabama mothers’ attitudes and behaviors regarding HPV vaccination of their adolescent children. MethodsA social media survey was conducted August − September 2022 among mothers of adolescents ages 9–18, who self-identified as Alabama residents and their child(ren)’s primary medical decision maker. The survey assessed demographics, vaccine knowledge and opinions, vaccination history, influences on vaccination decisions, and how COVID-19 vaccine release affected vaccine opinions. Univariable and multivariable analyses were conducted. ResultsOf 241 responses, most participants were white (82.0 %, n = 196), non-Hispanic (96.6 %, n = 230), and privately insured (64.5 %, n = 151), with annual household incomes ≥$61,000 (45.4 %, n = 103). The majority (60.8 %) reported that their child either had or planned to receive the HPV vaccine. The release of COVID-19 vaccines did not change the majority of parental opinions towards HPV, with 78.5 % (n = 161) reporting no change. Among those who experienced a change, 25 % (n = 5) reported an increased likelihood of having their child vaccinated for HPV and 75 % (n = 15) reported a decrease in likelihood. Moderate and high HPV knowledge scores were associated in multivariable analysis with increased likelihood of having their child vaccinated for HPV (“moderate” knowledge AOR: 12.4, 95 % CI: 1.98–78.1; “high” knowledge AOR: 12.8, 95 % CI: 2.00–82.1). Positive HPV opinion scores in the univariable analysis similarly showed increased odds (AOR = 1.5). ConclusionsThese findings indicate that, in this population, COVID-19 vaccine release did not significantly impact subsequent HPV vaccination decision making. Parental perceptions regarding vaccination are critical to informing future interventions.

Using social media surveys and interventions to address vaccine hesitancy in Saudi Arabia

Background: Countering COVID-19 vaccine hesitancy has been a challenge in Saudi Arabia, one of the countries affected most by the pandemic in the Eastern Mediterranean Region. Aims: To identify information needs, perceived benefits, concerns, trusted information sources, social norms, and predictors for COVID-19 vaccine uptake in Saudi Arabia and identify effective messaging strategies to increase vaccination intentions among the unvaccinated. Method: Between March and April 2021, we conducted an online cross-sectional survey (N = 2883), and in part, a randomized experiment for unvaccinated participants (n = 675) in Saudi Arabia using Facebook Ads and Messenger. Unvaccinated participants were randomly assigned to 1 of 5 message conditions and after message exposure, participants were asked if they planned to take the COVID-19 vaccine. Results: In total, 2883 adults participated in the survey. All message framings worked equally well, with no statistically significant difference between the arms. Approximately 80% of the participants across all message conditions said they intended to vaccinate. However, participants wanted to know more about the vaccines; about 35% wanted to know more about vaccine efficacy, 31.5% about safety, 26.8% about health authority’s recommendation, and 3.7% about where to get the vaccines. Health workers (61.4%) and scientists and epidemiologists (25.7%) were the most trusted sources. Others were family members (7.5%), community leaders (2.2%), religious leaders (1.6%), friends (1.4%), and celebrities and social media influencers (0.2%). Conclusion: Vaccine hesitancy can be overcome by understanding individuals’ decision-making processes and using effective risk communication targeted to their needs.

Evaluation of Innovation and Entrepreneurship Culture Atmosphere in Universities Based on Sentiment Analysis

The entrepreneurship culture atmosphere in universities plays a pivotal role in shaping the mindset and behavior of students towards innovation and risk-taking. Through sentiment analysis, universities can gauge the prevailing attitudes and emotions towards entrepreneurship among students and faculty members. A positive entrepreneurship culture atmosphere fosters an environment of creativity, resilience, and collaboration, encouraging students to pursue entrepreneurial ventures and take calculated risks. By promoting a supportive ecosystem that celebrates failure as a learning opportunity and provides resources and mentorship for budding entrepreneurs, universities can cultivate an entrepreneurial spirit among their community members. Moreover, sentiment analysis enables universities to identify areas for improvement and tailor interventions to enhance the entrepreneurship culture atmosphere further. This paper presents an evaluation of the innovation and entrepreneurship culture atmosphere in universities using sentiment analysis, enhanced by Automated Recommender Probabilistic bi-gram Sentimental Analysis (ARPbi-gSA). The research aims to assess the prevailing sentiments and attitudes towards innovation and entrepreneurship among students and faculty members within university communities. Through the analysis of textual data from various sources such as social media posts, surveys, and academic literature, the ARPbi-gSA algorithm evaluates the sentiment expressed towards entrepreneurship initiatives, programs, and events. Results from sentiment analysis provide insights into the overall positivity or negativity surrounding the entrepreneurship culture atmosphere, identifying strengths and areas for improvement. The sentiment analysis conducted using ARPbi-gSA revealed a sentiment score of 0.75, indicating a predominantly positive sentiment towards entrepreneurship initiatives within the university. Out of 1000 social media posts analyzed, 650 expressed positive sentiments, while 250 were neutral, and 100 were negative, reflecting an overall positive sentiment towards entrepreneurship culture. Based on the sentiment analysis findings, the ARPbi-gSA algorithm provided recommendations for enhancing the entrepreneurship culture atmosphere, resulting in a 15% increase in student participation in entrepreneurial activities over the academic year.

Construct validation and measurement invariance of the Parasocial Relationships in Social Media survey.

This paper examines the construct validity and measurement invariance of the Parasocial Relationships in Social Media (PRISM) survey which was designed to provide researchers with a valid and reliable tool for measuring parasocial relationships developed in a social media context. A confirmatory factor analysis indicated the survey provides an adequate measure of parasocial relationships with online, social media celebrities, replicating the factor structure found by Boyd and colleagues when they developed PRISM and providing evidence of the construct validity of the survey. Additionally, scalar measurement invariance was achieved which supports the survey's ability to compare parasocial relationships across different social media platforms.

Evaluation of Machine Learning Techniques for Enhancing Scholarship Schemes Using Artificial Emotional Intelligence

This paper investigates the sentiment analysis of the” scholarship system” [4], in Odisha, primarily, to identify why some students do not apply for government-sponsored scholarships. Our research focuses on social media platforms, surveys, and machine learning-based analyses to understand the decision-making process and increase awareness about the various scholarship schemes. The goal of our experiment is to determine the efficacy of sentiment analysis in evaluating the effectiveness of different scholarship schemes. A wide variety of techniques based on dictionaries; corpora lexicons are used in different scholarship schemes for sentiment analysis. Our research paper is based on an evaluation process that could have a positive effect on the government by improving scholarship programs and giving financial aid to students from poor families, which would raise the level of education in Odisha. Our research paper concludes with a summary of successful and unsuccessful schemes, as well as their Word frequency counts and Sentiment Polarity scores.

Policies or Prejudices? An Analysis of Antisemitic and Anti-Israel Views on Social Media and Social Surveys

Abstract This paper examines the extent to which personal biases affect political views, in the context of how antisemitism influences opinions about Israel. Two empirical analyses are conducted. The first one analyzes social media chatter about Jews and Israel in the UK, revealing a strong, positive relationship between negative chatter about both of them at the daily-location level. In order to establish causality, social media chatter about a “Jewish” football team in the English Premier League (Tottenham) is used as an instrument for negative expressions about Jewish people to explain negativity toward Israel. The second empirical analysis uses the 2016 wave of the German Social Survey, which reveals a strong and robust relationship between several commonly used measures of antisemitic beliefs and holding anti-Israel views. A causal interpretation of this finding is supported by an IV analysis motivated by Voigtländer and Voth who show that Nazi indoctrination during the WWII period had a lifelong impact on antisemitic views. In both analyses, the IV estimates are considerably larger than OLS coefficients.

Clicks for credit: an analysis of healthcare professionals’ social media use and potential for continuing professional development activities

ABSTRACT Background Previous studies have examined social media habits and utilization patterns among various groups of healthcare professionals. However, very few studies have evaluated the use of social media to support continuing professional development activities. The goal of the 2023 Clinical Education Alliance social media survey was to explore how HCPs interact professionally with social media, describe utilization trends, and identify barriers to using social media to disseminate CPD content. Methods We conducted an online anonymous, voluntary survey of healthcare professionals contained in the Clinical Education Alliance learner database from January to March 2023. The survey was distributed via email and all learners were invited to participate regardless of profession or specialty. This survey consisted of 16 questions and collected demographic information and social media utilization and habits of healthcare professionals. Results Of the 2,615 healthcare professionals who completed the survey, 71.2% use social media. Most respondents were physicians (50.6%) practicing in an urban setting (59.6%) and have been practicing for more than 15 years (70.5%). The most widely used platform was Facebook (70.7%), but there were no significant differences among the different professions. Of the respondents who use social media, 44.5% used social media to access continuing professional development-certified activities. Surveyed learners preferred passive participation with social media content. Participant-reported concerns include issues with legitimacy of the information, privacy, time constraints, and institutional barriers. Discussion As the continuing professional development community continues to evolve and seek new innovative strategies to reach healthcare professionals, the findings of this survey highlight the need to identify and enact social media-based strategies aimed to engage healthcare professionals and provide them with unbiased evidence-based education.

Linking disgust and misophonia: The role of mental contamination

Aim of the studyIn the current study, the authors sought to examine whether the link between moral and sexual disgust and misophonia is mediated by mental contamination.Subject or material and methodsAn internationally diverse sample of 283 adults (193 females, 76 males, and 14 non-binary individuals) ranging in age from 18 to 60 years old was recruited from online social media platforms and survey recruitment sites. The sample completed an online battery of scales that consisted of the New York Misophonia Scale, State Metal Contamination Scale, and the Three-Domain Disgust Scale. The hypotheses were evaluated using a series of mediations. performed using the PROCESS add-on in SPSS.ResultsCorrelations were found between emotional and aggressive-avoidant reactions in misophonia, mental contamination, pathogen disgust, and sexual disgust. Moral disgust and non-aggressive reactions in misophonia failed to correlate significantly with any of the other constructs. Sexual disgust had direct and indirect effects while pathogen disgust had only direct effects on aspects of misophonia.DiscussionThese findings partially support our hypothesis that mental contamination mediates the link between disgust propensity and misophonia while also confirming that pathogen-based disgust is not associated with mental contamination.ConclusionsFindings imply that misophonia is distinct from obsessive-compulsive disorder. Further research into the conceptualization of moral disgust is warranted.

Importance of Breast Sensation After Mastectomy: Evidence from Three Sources.

Every year, more than 90,000 U.S. women undergo mastectomy. More than 40% have reconstruction. Following reconstruction, most women experience persistent partial or complete numbness of the reconstructed breasts, and many experience pain. Yet, breast reconstruction procedures focus largely on esthetic outcomes with mixed impact on sensory outcomes and little attention to pain. This study examines whether and how breast sensation is important to women. Conventional content analysis of extant qualitative data from a clinical registry (29 women with prior breast surgery for cancer, 2008-2022), a volunteer community sample (qualitative interviews with 6 women with and 5 without breast cancer, 2019), and from a Twitter social media survey (N = 32, 2022). Functions of the breast identified by women with and without cancer include breastfeeding, sexual function, and femininity. Five interrelated themes on the importance of breast sensation emerged among women with breast cancer history: sexual function, experience of partnered sex or relationship with one's sexual partner, breast embodiment, effect of breast pain on sexual function, and importance to psychological wellbeing. Women, advocates, and clinicians described a lack of patient-physician communication in this domain that exacerbates the negative impact of breast sensation loss on health and wellbeing. Breast sensation is important to women following mastectomy, yet a gap exists in patient-physician communication about the impact of mastectomy and reconstruction on breast sensory function. Lessons for physicians, scientists, and skeptics are conveyed about why the basic integrity of women's bodies matters for practice and science.

Blockchain technology in Cardiovascular Medicine: a glance to the future? Results from a social media survey and future perspectives.

The leverage of digital facilities in medicine for disease diagnosis, monitoring, and medical history recording has become increasingly pivotal. However, the advancement of these technologies poses a significant challenge regarding data privacy, given the highly sensitive nature of medical information. In this context, the application of Blockchain technology, a digital system where information is stored in blocks and each block is linked to the one before, has the potential to enhance existing technologies through its exceptional security and transparency. This paradigm is of particular importance in cardiovascular medicine, where the prevalence of chronic conditions leads to the need for secure remote monitoring, secure data storage and secure medical history updating. Indeed, digital support for chronic cardiovascular pathologies is getting more and more crucial. This paper lays its rationale in three primary aims: 1) to scrutinize the existing literature for tangible applications of blockchain technology in the field of cardiology; 2) to report results from a survey aimed at gauging the reception of blockchain technology within the cardiovascular community, conducted on social media; 3) to conceptualize a web application tailored specifically to cardiovascular care based on blockchain technology. We believe that Blockchain technology may contribute to a breakthrough in healthcare digitalization, especially in the field of cardiology; in this context, we hope that the present work may be inspiring for physicians and healthcare stakeholders.

Climbing the Alps in a warming world: Perspective of climate change impacts on high mountain areas influences alpinists' behavioural adaptations

Climate change is having a major impact on high mountain areas, with glacier retreat and permafrost warming. Alpinism is deeply affected by this changing environment, which increases the technicality of the routes, their dangers, and the uncertainty of the periods of suitable climbing conditions during the summer. This raises the question of how recreational alpinists perceive and adapt to changing conditions. To answer this question, this paper reports the results of a quantitative social media survey of European alpinists based on the substitutability theory. The results from the 1071 completed questionnaires show that climate change and its impacts are clearly observed and identified by recreational alpinists; the higher the awareness of the changes, the more likely they are to engage in adaptation behaviours such as temporal, activity and spatial substitution, and informational coping. Furthermore, the more respondents perceive that climate change is affecting their practice in terms of degraded routes, increased risk, or increased frequency and magnitude of rockfalls, the more they engage in adaptation behaviours. Although adaptation seems to be sufficient to ensure satisfactory practice conditions, the development of communication for less informed alpinists, as well as the development of climate services, could be valuable to ensure sustainable and safe practices. Management implicationsRecreational alpinists' awareness of the impacts of climate change on alpinism increases their adoption of substitution and coping behaviours. The results highlight the importance for alpine organisations to communicate research on high mountain changes, especially to novice or occasional alpinists who may be less informed. The results also suggest the importance of high mountain climate services to support decision making. This could include proposing maps and topographical guides that specifically show how climate change will affect the most frequently used routes, or developing indicators such as the Rockfall Susceptibility Index.

Forecasting virus outbreaks with social media data via neural ordinary differential equations

During the Covid-19 pandemic, real-time social media data could in principle be used as an early predictor of a new epidemic wave. This possibility is examined here by employing a neural ordinary differential equation (neural ODE) trained to forecast viral outbreaks in a specific geographic region. It learns from multivariate time series of signals derived from a novel set of large online polls regarding COVID-19 symptoms. Once trained, the neural ODE can capture the dynamics of interconnected local signals and effectively estimate the number of new infections up to two months in advance. In addition, it may predict the future consequences of changes in the number of infected at a certain period, which might be related with the flow of individuals entering or exiting a region. This study provides persuasive evidence for the predictive ability of widely disseminated social media surveys for public health applications.

University Students’ Perceived Self-control and Prosocial Norms for Beneficial Social Media Use

Although many studies have been conducted on social media abuse, socio-psychological determinants of positive social media usage are still underresearched, specifically concerning self-control and prosocial norms for university students. These two important antecedents of accountable behavior have not been thoroughly studied in developing countries. Therefore, the current study investigated university students’ perceptions of self-control and prosocial norms and determined whether they co-exist and are associated with intended behavior and desired beneficial usage. This study modified measurement items adopted from previous studies to fit the current context. A social media survey was conducted through Facebook Messenger among students from a public university in Bangladesh. 226 voluntary responses were recorded based on purposive sampling. The data were analyzed using SPSS and SmartPLS 4. Descriptive statistics were analyzed. Hypotheses were tested using the structural equation modeling technique, whereas the differential effects of gender and social media platforms were tested using ANOVA. The findings demonstrate that university students value self-control and prosocial norms as crucial determinants of positive social media behavior. These factors strongly correlate with intended self-control and prosocial behavior, and desired beneficial use. Additionally, gender and the type of social media platform used have no significant impact on these results. This study explored valuable insights into the role of self-control and prosocial norms in promoting beneficial social media use among university students, which may have significant implications for their personal and social well-being.

A Primer on the Data Cleaning Pipeline

Abstract The availability of both structured and unstructured databases, such as electronic health data, social media data, patent data, and surveys that are often updated in real time, among others, has grown rapidly over the past decade. With this expansion, the statistical and methodological questions around data integration, or rather merging multiple data sources, have also grown. Specifically, the science of the “data cleaning pipeline” contains four stages that allow an analyst to perform downstream tasks, predictive analyses, or statistical analyses on “cleaned data.” This article provides a review of this emerging field, introducing technical terminology and commonly used methods.

(053) The Prevalence of Low Sexual Desire Among Premenopausal Women and Their Wish for Drug Treatment

Abstract Introduction Low female sexual desire (HSDD) is one of the most common sexual complaints in women. As a result, many women suffer from sexual dissatisfaction and related distress, which often negatively interferes with their quality of life. Little is known about the underlying biological mechanism of low desire, but it is conceivable that sexual functions are the result of an interaction between biological, psychological, and relational factors, for which neurological and hormonal central and peripheral processes are involved. Women's sexual desires naturally fluctuate over the years and commonly coincide with the beginning or end of a relationship, health status, medication use, and/or major life events. The treatment approach for females with low sexual desire is aimed at the many causes behind this condition. Recommendations may include sex education, counseling, and sometimes medication and hormone therapy mainly for women who go through menopause or post-menopause. So far no medical therapy for HSDD is available in Europe. While some women movements, such as “right to desire” wish to support the development of drugs for HSDD and reduce the distress associated with HSDD, others are against what they call “the pathologizing of variation in the population” and drug developments. Objective The aim of this survey was to find the prevalence of HSDD among young, premenopausal, social media active women and their willingness to receive medical therapy. Methods A social media survey has been conducted among women between 18 and 50 years old who are regularly using social media apps, in Israel. A country with a mix of cultures, religions, and personal social backgrounds. Women were asked about their sexual desire, current experience with a reduction of their desire for more than 6 months, and the presence of distress. Women who suffer from low desire have been asked about their willingness to receive medical treatment for this condition. Results 4079 women observed the survey but only 1493 (36.6%) answered the questions. 42% (624) stated that they suffer from a decline in desire for a period longer than 6 months, while 49% (727) said they did not suffer from a decline in sexual desire. 9% (142) of the women answered that they didn’t know. On the question: “would you be interested in drug treatment ‘that ’ was asked only to the women who reported a decline in sexual desire, 22% (138) were interested in drug treatment, 40% (249) were not interested in drug treatment, 12% (75)said they don’t know and 26% (162) stated that their wiliness to use a drug for HSDD depended on the risk and benefits. Conclusions HSDD is prevalent even among premenopausal women in a multicultural country. Despite the multifactorial factors involved in the etiology of HSDD, almost half of the women have an interest in using a safe medication for HSDD. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Freya, Besins, Ohhmed.

ACME: automated classification model for E-learning feedback

ABSTRACT E-learning is the process of sharing knowledge out of the traditional classrooms through different online tools using internet. The availability and use of these tools are not easy for every student. Many institutions gather e-learning feedback to know the problems of students to improve their systems. In e-learning systems, typically a high volume of electronic feedback is received every day. In order to respond to feedback quickly and to address the issues raised by the stakeholders timely, it is desirable to provide an intelligent and automatic classification of the feedback. This study proposes a feedback classification model, named “ACME: Automated Classification Model for E-learning Feedback” to fulfill this need. The proposed model is capable of both sentiment analysis and category classification of the feedback. In this regard, feedback from 20,000 records has been collected from many online sources, such as social media platforms, surveys, and questionnaires. To build a baseline corpus, these feedbacks were analyzed and characterized in two dimensions, that is category and sentiment. The model achieved an accuracy of 98% and 99% by using a Random Forest and Decision Tree classifier, respectively.