Website Features Research Articles

Improving Auto-Detection of Phishing Websites using Fresh-Phish Framework

Denizens of the Internet are under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials compromising both their privacy and security. Methods such as the blacklisting of these phishing websites become untenable and cannot keep pace with the explosion of fake sites. Detection of nefarious websites must become automated and be able to adapt to this ever-evolving form of social engineering. There is an improved framework that was previously implemented called “Fresh-Phish”, for creating current machine-learning data for phishing websites. The improved framework uses a total of 28 different website features that query using python, then a large labeled dataset is built and analyze over several machine learning classifiers against this dataset to determine which is the most accurate. This modified framework improves the accuracy of modeling those features by using integer rather than binary values where possible. This article analyzes not just the accuracy of the technique, but also how long it takes to train the model.

Pasos Hacia La Salud II: study protocol for a randomized controlled trial of a theory- and technology-enhanced physical activity intervention for Latina women, compared to the original intervention

BackgroundLatinas are at increased risk for many lifestyle-related chronic diseases and are one of the least physically active populations in the US Innovative strategies are needed to help Latinas achieve the health benefits associated with physical activity (PA). This manuscript describes the study protocol of the Pasos Hacia La Salud II Study, which builds upon our previous research to test an enhanced individually-tailored, text-message and website-delivered, Spanish-language intervention (enhanced intervention), in comparison to the original web-based Pasos Hacia La Salud Intervention (original intervention).MethodsSedentary Latinas between the ages of 18–65 will be recruited and will complete an orientation and baseline assessments. Participants will be subsequently randomized to the original intervention, or the Enhanced Intervention, which has greater targeting of theoretical constructs such as self-efficacy, enjoyment, and social support, and which uses text messages and more dynamic and refined website features to encourage increased website use. Using a linear mixed effects regression model, we will simultaneously estimate the intervention effects on mean accelerometer-measured hours/week of moderate-to-vigorous PA (MVPA) at 6, 12, 18, and 24 months, with a subject-specific intercept (intent-to-treat sample). Change in self-reported MVPA, measured via the 7-day Physical Activity Recall, will be assessed as a secondary outcome using a similar model. We will investigate potential mediators of the intervention effect using a multiple mediation approach, and potential moderators by evaluating potential interactions. As an exploratory outcome, we will study the differences (among both study arms) in cost, in US dollars, per minute increases in weekly mean MVPA.DiscussionThe original Pasos PA intervention showed efficacy in helping Latinas increase PA; we expect the Enhanced Intervention to help a larger proportion of participants to increase and maintain their PA long term. This web- and text-based enhanced intervention could have great reach and dissemination potential, which could be capitalized on in the future to help to advance health equity. Adaptations made in response to the COVID-19 pandemic are also described in this manuscript.Trial registrationClinical Trial Number: NCT03491592. First posted April 9, 2018.

“Every Website Is a Puzzle!” : Facilitating Access to Common Website Features for People with Visual Impairments

Navigating unfamiliar websites is challenging for users with visual impairments. Although many websites offer visual cues to facilitate access to pages/features most websites are expected to have (e.g., log in at the top right), such visual shortcuts are not accessible to users with visual impairments. Moreover, although such pages serve the same functionality across websites (e.g., to log in, to sign up), the location, wording, and navigation path of links to these pages vary from one website to another. Such inconsistencies are challenging for users with visual impairments, especially for users of screen readers, who often need to linearly listen to content of pages to figure out how to access certain website features. To study how to improve access to main website features, we iteratively designed and tested a command-based approach for main features of websites via a browser extension powered by machine learning and human input. The browser extension gives users a way to access high-level website features (e.g., log in, find stores, contact) via keyboard commands. We tested the browser extension in a lab setting with 15 Internet users, including 9 users with visual impairments and 6 without. Our study showed that commands for main website features can greatly improve the experience of users with visual impairments. People without visual impairments also found command-based access helpful when visiting unfamiliar, cluttered, or infrequently visited websites, suggesting that this approach can support users with visual impairments while also benefiting other user groups (i.e., universal design). Our study reveals concerns about the handling of unsupported commands and the availability and trustworthiness of human input. We discuss how websites, browsers, and assistive technologies could incorporate a command-based paradigm to enhance web accessibility and provide more consistency on the web to benefit users with varied abilities when navigating unfamiliar or complex websites.

Malaysian older persons' perceptions about falls and their desired educational website characteristics: A qualitative study.

Falls is a common and debilitating condition among the older population, intensifying the need to educate older persons about falls. Technology advancement enables effective and efficient delivery of falls education to the older population. However, there is paucity of information on the perception of Malaysian older population on falls and their preferred website characteristics such as font size, design, layout, colour, navigation, and use of graphics or videos. Physiological changes in vision, cognition and psychomotor skills can affect how the older persons use the website. As Malaysia is a multicultural country, the needs of the website characteristics and falls perception of older persons may differ greatly. The aim of this study was to explore the perceptions of the older persons about falls and their desired website characteristics. Twenty-five community-living older persons (n = 25) of age 60 years and above were involved in the focus group discussions. NvivoTM software was used for data management and thematic analysis was undertaken. Emerging themes included ’Perceptions of falls in older persons’, ’Actions taken when falls occurred’, ’Perceived prevention strategies for falls’ and ’End user requirements for falls educational website’. Falls were perceived as both an avoidable and a non-avoidable incident. Although the participants mentioned physical activity and home hazard modifications as strategies to prevent falls, they mainly discussed self-initiated precautionary approaches in falls prevention. Regarding desired website characteristics, the participants emphasized on easily readable text, appealing design, clear information, use of images/videos, and simple website navigation. Special requirements for colour selection and multi-language options were also raised. The delivery of falls education through website can be made possible by understanding the perception of older persons about falls and their requirements for the website. This is especially important as ethnic and cultural influences may play a role on their perceptions about falls and desired website characteristics.

Extending business failure prediction models with textual website content using deep learning

Business failure prediction (BFP) is an important instrument in assessing the risk of corporate failure. While a large body of research has focused on BFP, recent research in operations research and analytics acknowledges the beneficial effect of incorporating textual data for predictive modelling. However, extant BFP research that incorporates textual company information is very scarce. Based on a dataset containing 13,571 European companies provided by the largest European data aggregator, this study investigates the added value of extending traditional BFP models with textual website content. We further benchmark various feature extraction techniques in natural language processing (i.e. the vector-space approach, neural networks-based approaches and transformers) and assess the best way of representing and integrating textual website features for BFP modelling. The results confirm that including textual website data improves BFP predictive performance, and that textual features extracted by transformers add the most value to the BFP models in this benchmark setting.

Malware Detection System Using Cloud Sandbox, Machine Learning

Today's internet continues to move forward, and with it comes the development of many applications. Therefore, these applications are also directly accessible via the Internet, which makes it one of the important things these days. In addition to this, these applications are sometimes developed as software that can be installed on users computers, laptops and even smartphones, which often attracts many attackers to compromise their computers with malware that is unintentionally installed in the computer. Gadgets and even computer systems. computer background. Many solutions have been employed to detect if these malware are installed. This paper aims to evaluate and study the effectiveness of machine learning methods in detecting and classifying malware being installed. This paper employs heuristics and machine learning classifiers to identify malware attacks detected in each website or software application. The study compares 3 classifiers to find the best machine learning classifier for detecting malware attacks. Prove that the cloud sandbox can achieve a high detection accuracy of 99.8% true positive rate value when identifying malware attacks? Use website features. Results show that Cloud Sandbox is an effective classifier for detecting malware attacks.

URL Based Phishing Website Detection by Using Gradient and Catboost Algorithms

Abstract: Phishing is one of the most common and most dangerous attacks among cybercrimes. The aim of these attacks is to steal the information used by individuals and organizations to conduct transactions. Phishing websites contain various hints among their contents and web browser-based information. In existing system the Random forest algorithm is used. In our proposed system, we are using different classification algorithm like bagging and boosting algorithms that are Gradient Boosting, Cat boosting to increase accuracy. The features extracted based on the features of websites in UC Irvine Machine Learning Repository. Here, we have performed the performance analysis between the boosting algorithms like Gradient boost, Cat boost and the random forest. From the performance analysis we can determine the best suitable algorithm to detect the phishing website .This study is considered to be an applicable design in automated systems with high performing classification against the phishing activity of websites.

Not That DDT: A Databank of Dynamics Trajectories for Organic Reactions

The Databank of Dynamics Trajectories (DDT, notthatddt.org) was established to assist students in visualizing the dynamical behaviors occurring during chemical reactions and conformational changes, with a focus on processes taught in introductory organic chemistry classes. Animations of reacting molecules created using ab initio molecular dynamics simulations constitute the key feature of the DDT website.

Continuing Professional Development in Response to COVID-19: Knowledge Mobilization for Occupational Therapy and Physiotherapy via a Curated Web Site.

Once the COVID-19 pandemic was declared, clinicians were redeployed to prepare for increased hospitalizations. This disruption necessitated rapid continuing professional development (CPD) resources for health care providers. This mixed-method study explored the experiences of occupational therapists and physiotherapists who accessed a CPD Web site that provided educational resources related to the pandemic to refresh their clinical knowledge and skills. Faculty from the Michener Institute of Education at the University Health Network and University of Toronto along with 60 collaborators created a Web site to support the need for rapid CPD. An occupational therapist and physiotherapist advisory group informed the evolving design of the occupational therapy and physiotherapy content. In the occupational therapy profession 535 users created an account between April and November 2020 (236 practicing, 283 students, and 16 did not specify) and in the physiotherapy profession 829 created an account (532 practicing, 278 students and 19 did not specify). Each user viewed an average of 53 Web pages. Three themes emerged: (1)To prepare for practice changes, clinicians value a single repository of information; (2) Web site features can either facilitate or hinder access to the needed information; and (3) Participants described diverse learning needs. The Web site design features assisted participants in preparing for redeployment and patient care. Features to encourage self-directed learning, such as the grouping of relevant topics and self-check quizzes, can enhance the user experience.

14. Characterizing Diversity Features in Plastic Surgery Residency Program Websites

Background: There continues to be an increased commitment in recruiting residency and faculty applicants from backgrounds that are underrepresented in medicine (URMs). These applicants have been shown to be more likely to attend programs where they perceive higher diversity. Because applicants rely most heavily on websites for program information, general surgery literature has identified 8 website elements used by programs to demonstrate diversity and inclusion. No study has examined how plastic surgery residency programs feature diversity and inclusion on their websites. This study aims to characterize how these programs’ websites demonstrate their commitment to diversity and inclusion, and assess whether trends vary by geographic region or rank. Methods: All 82 accredited integrated plastic surgery residencies were reviewed. Website diversity elements were defined by prior general surgery literature and initial review of 10 plastic surgery websites. These elements included 1) non-discrimination statement, 2) diversity and inclusion message, 3) community demographics, 4) biographies of faculty and 5) residents, 6) photographs of faculty and 7) residents, 8) list of resources for trainees, 9) gender identity or pronouns of faculty and 10) residents, and 11) scholarships for underrepresented visiting medical students. We evaluated the impact of Doximity rank and geographic location per U.S. Census Bureau definitions on the diversity elements. Results: Websites had a mean of 3.75 1.71 elements. Most programs had 0 - 4 elements (n = 54, 67.5%), some had 5 - 8 elements (n = 26.5, 32.5%), and none had greater than nine. Chi-squared test revealed no association with either rank (p = 0.40) or U.S. region (p = 0.458). The most common elements were resident photos (n = 73, 91.3%), pictures of faculty (n = 63, 78.8%), and extended faculty bios (n = 50, 62.5%). The least commonly included elements were gender identity or pronouns of residents (n = 0) and faculty (n = 3, 3.8%). Conclusion: Most plastic surgery websites include very few elements related to diversity and inclusion. This research highlights opportunities through which plastic surgery residency program websites can further demonstrate their commitment to diversity and inclusion.

Онлайн-фандрайзинг як основний інноваційний інструмент неприбуткових організацій

The article deals with the dynamics of online fundraising in Ukrainian non-profit organizations, analyzes its tools and features, describes the main tendencies in using online technologies, examines new formats, opportunities, effective tools for the development of non-profit sector and identifies processes, that are necessary for effective functioning of non-profit organizations in context of digitalization due to the transition to online format. The world experience of various models regarding the application and use of online technologies is analyzed. Online fundraising means activities aimed at allocation of physical and financial resources for the implementation of non-profit programs and projects of non-profit organizations through the Internet. During a pandemic, fundraising, like many other social activities, switched to online platforms, and this factor influenced the active development of the use of online tools. The number of online payments received by non-profit organizations is increasing every year. The processes of digital transformation related to the transition to online format have started inevitably. The digitalization of the non-profit sector is one of the key vectors for the use of online tools in fundraising. A set of website features, built-in services and user-friendliness are on top. Volunteers promote their initiatives on social media for the benefit of non-profit organizations, in this way, the institutions have the opportunity to increase the audience of their donors. Online tools help to attract new audiences, using the opportunities of social media and other tools that promote joint actions. It is important for all non-profit organizations to keep in touch with their partners and donors as well as to be as transparent and accurate as possible. Concerning the tendencies of online fundraising, one should note that the business laws work in charity too. The sector is actively developing: a lot of people already use payment systems and SMS payments. New convenient initiatives and mechanisms are emerges. Online tools make it possible to analyze the behavior of donors, conduct experiments using various incentives for their direct interest in donating and facilitate feedback. This increases the effectiveness of non-profit fundraising efforts at the donation market and increases encouragement and satisfaction of donors.

Pleasure, Polyphony, and Networking in Agents of Ishq


 
 
 
 Contemporary media ecologies offer online interactive practices opportunities to focus on social engagement with users by increasingly operating in collaborative and co-creative modes of production and circulation. This article focuses on an online multimedia bilingual (Hindi and English) project in the Indian context Agents of Ishq (2016) conceptualized by the documentary practitioner and artist, Paromita Vohra. In a country where the dominant narratives in mainstream media have primarily centred around sexual violence, the interactive audio-visual website features creative graphics, audio podcasts, first-person accounts with creative illustrations, Bollywood memes, GIFs-driven stories, photo essays, mixed media art, videos, poetry, prose around the themes of sex, love, choice, desire, gender, and freedom. The interface invites the user to explore, open up and listen to conversations around sex education, histories of desire, pleasure, sexual experiences, social and legal discussions on conscious agency and intimacy. The database-driven project draws on Indian popular culture, art and socio-cultural context to promote amongst its users and audience the ability to listen to and respect others’ complex lived sexualities. Vohra’s work acts as a context provider to the varied intimate and personal voices, authors, collective and performative, artistic forms engaging with each other towards a common objective of opening enabling, inclusive conversations between young Indians around diverse sexual cultures which are not solely instructive and normative. The non-linear echoes of these discussions can also be heard (and continue) over social media platforms like Instagram and Twitter. The project also intervenes in the real world through workshops on gender, sexuality and consent with different practitioners (researchers, doctors, educators, students) and organizations. Drawing on Wiehl’s proposal of Interventionist Networking Methodology, the article analyzes how the interactive project features a multiplicity of forms, representation and circulation which encompass personal accounts by the users, strategies of the practitioner and her collaborators, and challenges of engaging the target audience who belong to a multitude of heterogeneous cultural backgrounds and socio-economic classes. The digital world has offered people the chance and various ways to privately connect outside their immediate social spheres, in a way the everyday life may not. However, it has also gradually changed from a space of experimentation and plays to a space that reflects the normativity and pressures of the offline world. The article also calls attention to the dynamism between digital and physical spaces through this case study. It suggests how the polyphonic attributes of online interactive media can tap into it – creating art that respects the individuality of the human experience while acknowledging the multiple ways it may articulate itself. 
 
 
 

R-BIND 2.0: An Updated Database of Bioactive RNA-Targeting Small Molecules and Associated RNA Secondary Structures.

Discoveries of RNA roles in cellular physiology and pathology are increasing the need for new tools that modulate the structure and function of these biomolecules, and small molecules are proving useful. In 2017, we curated the RNA-targeted BIoactive ligaNd Database (R-BIND) and discovered distinguishing physicochemical properties of RNA-targeting ligands, leading us to propose the existence of an "RNA-privileged" chemical space. Biennial updates of the database and the establishment of a website platform (rbind.chem.duke.edu) have provided new insights and tools to design small molecules based on the analyzed physicochemical and spatial properties. In this report and R-BIND 2.0 update, we refined the curation approach and ligand classification system as well as conducted analyses of RNA structure elements for the first time to identify new targeting strategies. Specifically, we curated and analyzed RNA target structural motifs to determine the properties of small molecules that may confer selectivity for distinct RNA secondary and tertiary structures. Additionally, we collected sequences of target structures and incorporated an RNA structure search algorithm into the website that outputs small molecules targeting similar motifs without a priori secondary structure knowledge. Cheminformatic analyses revealed that, despite the 50% increase in small molecule library size, the distinguishing properties of R-BIND ligands remained significantly different from that of proteins and are therefore still relevant to RNA-targeted probe discovery. Combined, we expect these novel insights and website features to enable the rational design of RNA-targeted ligands and to serve as a resource and inspiration for a variety of scientists interested in RNA targeting.

Optimize Your First Impression: A Comparison of the Aesthetic Websites of Private Practices and Academic Institutions.

An aesthetic surgery offering within academic programs has positive financial and educational implications. To compete with private practices, academic institutions must view their website as integral to patient recruitment. This study examines the aesthetic surgery websites of academic and private practices to compare objective website characteristics. Integrated plastic surgery programs with an aesthetic surgery website were matched with nearby private practices offering cosmetic surgery. Data was collected from websites, including information about procedures, media, surgeon characteristics, design, reputation, finances, and readability, and compared using Chi-square and T tests. The websites of 68 academic institutions (AP) and 68 location-matched private practices (PP) were examined. Fourteen (17.07%) programs did not have a website. Private practice websites provided information about a greater number of procedures (mean AP 21.82, PP 27.04, p = 0.013), preparation for surgery (AP 52.94%, PP 83.82%, p < 0.001), and expectations after surgery (AP 70.59%, PP 88.24%, p = 0.01). Board certification was listed more frequently for private practices (AP 87%, PP 98%, p = 0.01). Academic websites were more likely to discuss research (AP 76%, PP 57.35%, p = 0.02). There was no significant difference in the readability of AP and PP websites (mean SMOG AP 7.70, PP 7.19, p = 0.06). This work demonstrates a significant content gap between private and academic aesthetic websites and serves as an action item for institutions to enhance their online presence. In a field traditionally associated with high overhead costs, website modifications represent a cost-effective way for academic practices to increase their appeal in the cosmetic surgery market. 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 .

Quality assessment of E-learning website using asymmetric impact–performance analysis and Kano’s customer satisfaction model: a case study based on WebQual 4.0

PurposeUsing asymmetric impact–performance analysis for examining an asymmetric relationship between user satisfaction and website features, the present research aims to identify features of high priority for quality improvement. For doing so, the current research was conducted in the context of the E-learning website of the most prestigious university in Iran, namely, the University of Tehran.Design/methodology/approachThe main question was which of the three groups of basic, performance and excitement factors has the required dimensions of the quality of the website based on the model WebQual 4.0 by considering Kano’s user satisfaction model and impact–performance analysis. This is a descriptive survey, applied and cross-sectional study. The study population included Tehran University’s students who enrolled in virtual courses in the academic year 2020–2021 from which a sample of 457 students was selected. The data collection tool was the questionnaire of Webqual 4.0, as well as a researcher-made questionnaire to measure end-user satisfaction.FindingsUsing structural equation modeling and multiple regression, the findings showed that the customer’s overall satisfaction with the mentioned website is primarily affected by the feature interaction with services, including the two structures of trust and empathy, and then the dimensions of usability and quality of information. Examining the Webqual 0.4 dimensions indicated that the website usability dimension is a part of the high-performance excitement factors group, the information quality dimension is a part of the high-performance basic factors group and the website interaction dimension is in the low-performance basic factors group.Originality/valueThe research is highly innovative taking the theoretical model of Kano and methodological investigation of asymmetric impact–performance analysis into consideration alongside the WebQual 4.0 as a fundamental model for website assessment. Moreover, the research was conducted on an E-learning website, which is unique and a necessity amid the COVID-19 pandemic.

Machine Learning and Deep Learning Based Phishing Websites Detection: The Current Gaps and Next Directions

There are many phishing websites detection techniques in literature, namely white-listing, black-listing, visual-similarity, heuristic-based, and others. However, detecting zero-hour or newly designed phishing website attacks is an inherent property of machine learning and deep learning techniques. By considering a promising solution of machine learning and deep learning techniques, researchers have made a great deal of effort to tackle the this problem, which persists due to attackers constantly devising novel strategies to exploit vulnerability or gaps in existing anti-phishing measures. In this study, an extensive effort has been made to rigorously review recent studies focusing on Machine Learning and Deep Learning Based Phishing Websites Detection to excavate the root cause of the aforementioned problems and offer suitable solutions. The study followed the significant criterion to search, download, and screen relevant studies, then to evaluate criterion-based selected studies. The findings show that significant research gaps are available in the rigorously reviewed studies. These gaps are mainly related to imbalanced dataset usage, improper selection of dataset source(s), the unjustified reason for using specific train-test dataset split ratio, scientific disputes on website features inclusion and exclusion, lack of universal consensus on phishing website lifespans and on what is defining a small dataset size, and run-time analysis issues. The study clearly presented a summary of the comparative analysis performed on each reviewed research work so that future researchers could use it as a structured guideline to develop a novel solution for anti-phishing website attacks.

Drivers of consumer adoption of e-Commerce: A meta-analysis

E-commerce has significantly reshaped consumers’ shopping processes and habits. The need to understand the key drivers of online shopping has received keen attention and fueled a rich strand of studies. To help managers and researchers synthesize this growing body of evidence, we conducted a comprehensive meta-analysis to unearth the factors that influence consumers’ online shopping. Our main takeaways reveal that the most important drivers of online shopping (a) conform to the TAM and TPB theories, in addition to (b) website characteristics and past experience. In particular, the multiple predictors are strongly related to online purchase intentions and purchase behavior, where attitude and convenience show the strongest impact. Furthermore, moderator analyses indicate that cultural traits have specific moderating effects on the links between purchase intention and some of its drivers. For instance, power distance and uncertainty avoidance have a positive effect, while individualism, indulgence and masculinity have a negative one. Finally, we apply meta-analytic structural equation modeling to test a conceptual framework including four groups of drivers (consumer–channel interactions, website characteristics, social influence, and consumer characteristics) and different aspects of online shopping. The findings provide valuable insights for online shopping research and practice.

Agricultural E-commerce: Attitude segmentation of farmers

E-commerce in agricultural trade is a growing market segment. Therefore, knowledge about the online purchasing behavior of farmers is increasingly important for several stakeholders. The purpose of this study is to explore agricultural online buying behavior from a multidimensional perspective. By means of an online survey among 371 German farmers, the attitudinal segmentation of online farmers is investigated using the tripartite model of attitudes. Four clusters were identified: business professionals, loyal offliners, online fans, and online hesitators. Results show that the advantageousness (convenience) was rated the highest and has the greatest separating power, while affective attributes are less important to farmers. Loyal offliners demonstrate that a positive emotional and cognitive evaluation does not necessarily increase the intention to use. In addition, the cluster of business professionals express that a lack of enjoyment does not automatically result in a lower intention to use e-commerce. The segmentation shows that there are different farmer groups needing an individual communication strategy and individual website features when buying agricultural inputs online. The results can help to make online offers more attractive and increase farmers’ usage intentions.

Cookies and content moderation: affective chilling effects of internet surveillance and censorship

ABSTRACT This study builds on previous surveillance and censorship research that has uncovered the chilling effects of these online technologies. It tests the assumption that political chilling occurs through affective heuristics. By manipulating an online privacy policy to include the presence of either website cookies, as a means of surveillance, or content moderation, as a form of censorship, this research indicates that both website features activate negative affect, but only surveillance engenders problematic chilling effects. The additional presence of U.S. national security justifications accompanying the website cookies or content moderation suppressed some feelings of fear, but did not reduce political chilling. These findings prompt a discussion of how website and application cookies impact expression in digital spaces.

User Characteristics of Unique Men's Health Website

IntroductionCovid-19 has helped drive all forms of medicine away from traditional brick and mortar medical interactions. Given the availability of online services to obtain treatments for ED, we developed a website to facilitate patient education, triage and men's health appointment scheduling.ObjectiveWe sought to assess characteristics of men who utilized a novel website to treat their ED.MethodsWe report on 50 patients who ultimately booked and attended appointments (video or in person) for erectile dysfunction. Patients found our website through our institution's main informational ED pages or through youtube links from our men's health video playlist library. Patients create an institutional account and are then asked a series of MD created questions designed to streamline patient triage and complete the majority of chart documentation ahead of the appointment. Patients are then sent videos relevant to their condition and future appointment options.Results2300 users investigated the ED portion of the website with 1.8% of patients ultimately following through with an appointment. 13% of patients who explored the ED portion of the site created a user account that allows a questionnaire to be taken. 90% of men who began the ED questionnaire completed with a mean time of 11 minutes. 52% of men offered an appointment based on their responses completed the patient scheduling form. 71% of traffic was on mobile devices with 29% on desktop/tablet. Site use by time of day is shown in figure 1. Mean age of patients was 53. 92% of patients had ED that occurred > 6 months. Mean SHIM score was 8.2 (IQR 4-12). 80% of participants had both desire and opportunity for sexual activity, 20% did not meet both criteria and thus SHIM scores were less valid for these men. Of the users 28% had never tried pde5s, 32% had partial success with pde5s, 24% could not tolerate or afford pde5s and 42% had unsatisfactory results with pde5s. PDE5 naïve patients were seen by an internal medicine MD specializing in men's health, 10 were seen by surgeons as they requested IPPs and the rest were seen by a combination of men's health APPS and urology attendings for second line treatments and penile doppler. Interestingly, 66% of men were interested in undergoing penile doppler to better understand the etiology of their ED. Hypertension (40%) and diabetes (22%) were the most common medical comorbidities. 36% of the cohort had a strong family history of cardiac disease.ConclusionsMen with ED can be effectively triaged through a website application. Most men with pde5 refractory ED wish to pursue penile doppler. The majority of patients seen had watched educational video material ahead of time, facilitating a more sophisticated and streamlined patient interaction.DisclosureNo