Site Visitors Research Articles

Optimalisasi Komunikasi Digital dalam Penerapan Visual Sosial pada Desain atau Layout Website Company Profile

This research is needed to provide the latest views on the Public Relations and Digital Communication Study Program through online media, namely the website. In addition, in order to increase interaction with the community, especially prospective new students who are looking for information about the Public Relations and Digital Communication study program, as well as to help agencies to continue to adapt to technological developments as an implementation of the implementation of digital communication. This research is a qualitative research with a constructivist approach. The researcher uses constructivists to find out the maximum response of website visitors in disseminating information in the community related to the Study Program through the website. In addition, the constructivist approach was chosen so that researchers have a deeper understanding, not just mere knowledge but are expected to be able to build knowledge and understanding through direct experience and reflection on websites. The implementation of the website development strategy to strengthen the profile of the study program in improving the brand image as one of the applied undergraduate study programs at the State University of Jakarta is a sustainable task and requires continuous efforts to brand this study program to the general public, Personal and Historical Approach to Websites, and Engineering and Aesthetics in the Application of Digital Communication, as well as the Management and Maintenance of Website Development of the Study Program Displaying topics of interest, namely the latest curriculum, topics about curriculum lecturers and topics of graduate job prospects.

Client-side and Server-side Tracking on Meta: Effectiveness and Accuracy

Growing concern over digital privacy has led to the widespread use of tracking restriction tools, such as ad blockers, Virtual Private Networks (VPN), and privacy-focused web browsers. All major browser vendors have also deprecated, or plan to deprecate, third-party cookies to reduce tracking. Despite these efforts, advertising companies continuously innovate to overcome these restrictions. Recently, advertising platforms, like Meta, have been promoting server-side tracking solutions to bypass traditional browser-based tracking restrictions. This paper explores how server-side tracking technologies can link website visitors with their user accounts on Meta products. The goal is to assess the effectiveness and accuracy of employing this technology, as well as the effect of tracking restrictions on online tracking. Our methodology involves a series of experiments where we integrate Meta's client-side tracker (the Meta Pixel) and server-side technology (the Conversions API) on different web pages. We then drive traffic to these pages and evaluate the success rate of linking website visitors to their profiles on Meta products. Our findings show that Meta's server-side technology can match between 34% and 51% of website visitors to user profiles on Meta products using basic information like the visitor's IP address, user agent, and location data. This is comparable to Pixel-based user matching in optimal conditions (i.e., in the absence of tracking restrictions), which links between 42% and 61% of user profiles. Nevertheless, we see a considerable difference in accuracy: while the Pixel-based tracking achieves 100% accuracy, less than 65% of the profiles matched by server-side tracking are accurate.

Enhancing Visitor Engagement through Dynamic Web Interaction: A PHP and MySQL-Based Approach

Abstract: In today's digital era, establishing meaningful connections with website visitors is imperative for organizations aiming to foster growth and solidify relationships. This abstract introduces an innovative strategy for augmenting visitor engagement through dynamic web interaction, utilizing PHP and MySQL technologies. Our approach involves the creation of a dynamic web platform to deliver tailored experiences to visitors, ultimately enhancing user satisfaction and retention. The paper delineates the methodology and techniques utilized in constructing the system, encompassing aspects such as user authentication, data management, and interactive functionalities. Moreover, it delves into the implications of this approach for businesses striving to optimize their online presence and nurture enduring relationships with their audience.

UK Cystic Fibrosis Registry Website Enhancements: A User-Centred Approach to the Data Access Transparency

BackgroundAs a member of the HDR UK Alliance, Cystic Fibrosis Trust is committed to adopting and maintaining the transparency standards within the UK CF Registry (UKCFR). Our website is the primary source for providing information on UKCFR and data access processes. We aimed to review use and accessibility across all user groups to shape website enhancements. This project aimed to improve transparency by conducting user experience (UX) research, and based on user feedback, enhance our website. For this project, we reviewed all of the HDR UK Transparency Standards. For this poster, we will focus on Standards 3 (Clear Website Navigation and 4 (Consider Target Audience). IntroductionThe primary objective was to enhance Transparency Standards by understanding audience needs and customise website improvements based on their needs. We envisaged that the outcome would be an improved and streamlined data access process to support transparency and trust among both data applicants and the public. MethodsWe employed a multi-method approach which incorporates public involvement throughout the whole process. We conducted on-site polls to intercept website visitors and gather quick feedback during their visit. Additionally, we created and distributed targeted surveys to various groups, including public and CF professionals, to delve deeper into their website experiences. Results The website’s overall rating is high at 7.4/10. UX research respondents: public 57% public and 43% CF Professionals. The top reasons for visiting the website are accessing reports and statistics and finding out more about UK CF Registry. Ease of finding information has fairly even spread, indicating room for improvement.

A Comprehensive Exploration of Text, Web, Social Media, and Geospatial Analytics for Informed Decision Making

Text Analytics is the process of turning unstructured text data into useful information for analysis, to gauge consumer opinions, feedback, and product evaluations. It also provides search functionality, entity modelling, and emotional analysis to enable fact-based decision making. Analysis of website visitor behaviour is done using Web Analytics. The number of websites and users on the internet is growing daily. It is the process of tracking website information that can help to improve the web application features and evaluate the behaviour of users. By performing social media analytics on social media for example twitter, Instagram, Facebook. Data such as likes, comments, shares and saves can be obtained and analyse to know how the society think about the product. Geospatial analysis is used to make visualizations that include maps, graphs, statistics that show data according to geographic location. This is important to be analysed as it tells which area or country has the highest product sold or lowest subscription of the service. To make the data much easier for human brain to analyses or to make a conclusion, data visualization design is the process of putting all data information collected into a visual context. For instance, graph or map. The main objectives of data visualization are to make it simpler or easier to spot the outliers and patterns trends in big data sets. There are a variety of clustering processes or techniques available to arrange the data efficiently to its related data. The clustering process that is used in data mining is presented in this work.

An empirical assessment of the impact of network effects on competitive processes in the operating systems market

Modern technology markets are characterized by the presence of a network effect, a phenomenon that significantly affects network adoption. While providing the advantage of belonging to a network, network effects can curb the diffusion of alternative technological products, which can negatively influence public welfare. The purpose of this article is to work out a method of a compound impact analysis of direct network effect, critical mass and standardization when assessing changes in the competitive environment on a two-sided software market using the case of operating systems (OS). The theory of network effects constitutes the methodological framework of the study. The research method is an econometric analysis of the impact of the installed base of users, switch of standards and gain of a critical mass of users by applying a basic within model and a difference GMM model. The database consists of monthly country data on website visitors’ activity from the StatCounter web analytics service by desktop, mobile, and tablet devices for the period from 2009 to 2019. The study shows that, due to the saturation effect, markets experience a slowdown in the influence of network effects. The desktop OS market is characterized by the presence of a de facto standard, that is Windows OS, which indicates the monopolization of this segment. OSX, Android, and iOS are industrywide standards. The proposed approach allows analyzing a direct network effect jointly with gain of a critical mass of users and switch of standards.

Web Traffic Time Series Forecasting of Temperature Analysis

This project makes use of the ARIMA (AutoRegressive integrated moving common) model to forecast web site visitors on weather-related web sites, analyzing how temperature fluctuations affect tourist numbers. ancient web visitors and temperature records are amassed, preprocessed, and analyzed. The ARIMA version is enhanced by way of incorporating temperature as an external regressor, optimizing forecasting accuracy via cautious parameter tuning. This method is evaluated towards traditional models to assess its effectiveness. The findings reveal that integrating temperature records notably improves predictive overall performance, supplying precious insights for managing web content based totally on environmental elements and predicting visitors developments with more precision.

The consequences of generative AI for online knowledge communities

Generative artificial intelligence technologies, especially large language models (LLMs) like ChatGPT, are revolutionizing information acquisition and content production across a variety of domains. These technologies have a significant potential to impact participation and content production in online knowledge communities. We provide initial evidence of this, analyzing data from Stack Overflow and Reddit developer communities between October 2021 and March 2023, documenting ChatGPT’s influence on user activity in the former. We observe significant declines in both website visits and question volumes at Stack Overflow, particularly around topics where ChatGPT excels. By contrast, activity in Reddit communities shows no evidence of decline, suggesting the importance of social fabric as a buffer against the community-degrading effects of LLMs. Finally, the decline in participation on Stack Overflow is found to be concentrated among newer users, indicating that more junior, less socially embedded users are particularly likely to exit.

Abstract PO3-09-07: When We Tri(al): Reaching, Motivating, & Effectively Engaging Black Women In Breast Cancer Clinical Trial Research

Abstract According to the American Cancer Society, Black women in the United States are 41% more likely to die from breast cancer than non-Hispanic white women. A systematic review of participation in clinical trials found that Black patients comprised less than 4% of all patients enrolled in clinical trials for emerging immune-based cancer treatments. The physiology of Black women has not been a significant consideration in clinical trial research. Clinical trial education, recruiting, and participation are not commensurate with the burden of disease. TOUCH, The Black Breast Cancer Alliance (TOUCHBBCA) launched the When We Tri(al) Movement (WWT) in January 2022 with robust multi-media support and nationwide community event activations to educate and empower Black women with culturally-agile messaging from the trusted voices of Black Breast Cancer survivor/thrivers. WWT provides an innovative and engaging learning platform that clearly depicts how clinical trials work, explains standard of care, dispels historical myths, establishes trust, and empowers self-advocacy. To date, whenwetrial.org has garnered over 108,000 visits and sent nearly 11,000 Black women to clinical trial portals. One-third of unique website visitors have gone into clinical trial search portals. Over a sixteen day period in late June and early July of 2023, TOUCHBBCA conducted research among Black women who joined the When We Tri(al) movement using a pre-experimental, retrospective pre-then-post test (RPTP) survey design to assess growth in knowledge and behavior change among Black women exposed to the Movement. This survey received 113 respondents who self-identified as Black and assigned female at birth. Following exposure to WWT, 34.5% of respondents reported an increase in their understanding of how breast cancer clinical trials work, 31.9% reported an increase in their understanding of standard of care in breast cancer clinical trials, and 40.7% reported an increased understanding of why clinical trials are important for Black women. 32.7% of survey respondents were more likely to consider participating in a clinical trial after interacting with the WWT movement. After interacting with the movement, 31% of respondents took active steps to participate in a clinical trial—specified as searching for clinical trials in a portal, asking about clinical trial options, talking to a doctor about clinical trials, etc. Another 17.7% of respondents reported supporting a loved one in taking steps to participate in a clinical trial only after interacting with WWT. The majority of respondents reported first hearing about WWT through social media (59.2%), followed by “Other” (the majority of write-in responses named Google or a friend) (19.5%). Respondents reported that the most convincing WWT messages were delivered via social media (26.6%) and in-person conversations (20.4%). Not only is When We Tri(al) educating and equipping Black women with critical clinical trial knowledge, but the movement is driving significant behavior change by Black women around clinical trial participation. Citation Format: Ricki Fairley, Emily Powers, Hayley Brown. When We Tri(al): Reaching, Motivating, & Effectively Engaging Black Women In Breast Cancer Clinical Trial Research [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-09-07.

Developing a Typology of Heritage Site Visitors: A Consumer Styles Inventory Approach

Abstract The purpose of this paper is to examine the behaviour of heritage site visitors using a consumer decision-making styles framework and to identify different groups of visitors based on their behavioural patterns and criteria when selecting a heritage site. To investigate the behaviour of heritage site visitors and identify different groups, an empirical research was conducted. Data were collected from 332 respondents and analysed using descriptive statistics, exploratory and confirmatory factor analysis, Cronbach’s alpha coefficient, and k-means cluster analysis. The current study found that seven out of eight consumer decision-making styles related to visiting heritage sites were identified. In addition, k-means cluster analysis revealed that respondents could be classified into three clusters based on their consumer decision-making styles. These findings have important implications for the marketing strategies of heritage sites. At the end of the paper, implications are discussed and recommendations for future research are suggested.

A Review of Biophilic Design Concepts in Hotel Architecture

Incorporating natural materials and features into the built environment is the goal of the creative approach known as biophilic design, which aims to link people with nature through architecture and interior design. The premise of the theory is that people are naturally drawn to nature and that spending time in nature can improve productivity, well-being, and general quality of life. It has been demonstrated that biophilic architecture design can convey a healthy environment, lower stress levels, and promote a sense of serenity for people residing in it. This is because the design uses natural materials and natural patterns to create a connection between humans and the natural world. This study looks into the application of biophilic design ideas in hospitality environments. This study aims to investigate if, in the context of hotels, including biophilic design improves guest emotional responses, perceived quality, and behavioral intentions. The results of this study showed that biophilic designs produced more favorable emotional and behavioral reactions than the standard design using the scenario-based experiment. Furthermore, patrons thought hotels with biophilic decor were of higher caliber. The goal of biophilic design is to incorporate natural aspects into the built environment to improve overall guest experience, comfort, and well-being. It is based on the human connection to nature. Site inspections, management interviews, and visitor surveys are a few of the data collection techniques used in hotels. The results provide important insights for architects, designers, and hoteliers looking to build more sustainable and guest-centric settings by illuminating the challenges, advantages, and consequences of using biophilic design in a hospitality context.

Creating and Implementing a Community-Focused, Culturally Tailored Health Marketing Campaign to Address Menthol Cigarette Use in Los Angeles County.

Menthol tobacco products have been marketed disproportionately to communities of color for decades. In Los Angeles County, California, a health marketing campaign, which used glossy visuals and attractive people in appealing poses, reminiscent of tobacco marketing tactics, was created and implemented to educate smokers on the health risks of using menthol cigarettes. The campaign encouraged smokers to make a quit attempt by offering access to free or low-cost resources through the Kick It California quitline and the LAQuits website (laquits.com). A survey tailored for public health professionals and community members from the approximately 382,000 people in the county who smoked menthol cigarettes and were exposed to their smoke (our primary audience) was administered to generate insights about this problem. Survey data were used to finesse the campaign creative materials prior to launch. Advertisement exposures, website visits, and quitline call volume were monitored and tabulated to assess the performance of the campaign. At the conclusion of its initial run (February-April 2021), the "Done with Menthol" campaign had garnered more than 66 million impressions, received approximately 56,000 clicks on its various digital media platforms, and had click-through rates that surpassed industry benchmarks. The quitline call volume for African American and Latino subgroups were 1.9 and 1.8 times higher than the average inbound call volume for corresponding months during 2018 and 2019, respectively. In its second run (May-June 2023), the campaign garnered approximately 11 million additional impressions. Despite having a lower budget and fewer resources than the tobacco industry, the "Done with Menthol" campaign attained excellent reach and offered free, low-cost, and accessible resources to county residents interested in tobacco use cessation.

Development and Evaluation of a Clinician-Vetted Dementia Caregiver Resources Website: Mixed Methods Approach.

About 11 million Americans are caregivers for the 6.7 million Americans currently living with dementia. They provide over 18 billion hours of unpaid care per year, yet most have no formal dementia education or support. It is extremely difficult for clinicians to keep up with the demand for caregiver education, especially as dementia is neurodegenerative in nature, requiring different information at different stages of the disease process. In this digital age, caregivers often seek dementia information on the internet, but clinicians lack a single, reliable compendium of expert-approved digital resources to provide to dementia caregivers. Our aim was to create a dementia caregiver resources website to serve as a hub for user-friendly, high-quality, and expert-reviewed dementia educational resources that clinicians can easily supply to family caregivers of people with dementia. An interdisciplinary website development team (representing dementia experts from occupational therapy, nursing, social work, geriatrics, and neurology) went through 6 iterative steps of website development to ensure resource selection quality and eligibility rigor. Steps included (1) resource collection, (2) creation of eligibility criteria, (3) resource organization by topic, (4) additional content identification, (5) finalize resource selection, and (6) website testing and launch. Website visits were tracked, and a 20-item survey about website usability and utility was sent to Veterans Affairs tele-geriatrics interdisciplinary specialty care groups. Following website development, the dementia caregiver resource website was launched in February 2022. Over the first 9 months, the site averaged 1100 visits per month. The 3 subcategories with the highest number of visits were "general dementia information," "activities of daily living," and "self-care and support." Most (44/45, 98%) respondents agreed or strongly agreed that the website was easy to navigate, and all respondents agreed or strongly agreed that the resources were useful. The iterative process of creating the dementia caregiver resources website included continuous identification, categorization, and prioritization of resources, followed by clinician feedback on website usability, accessibility, and suggestions for improvement. The website received thousands of visits and positive clinician reviews in its first 9 months. Results demonstrate that an expert-vetted, nationally, and remotely available resource website allows for easy access to dementia education for clinicians to provide for their patients and caregivers. This process of website development can serve as a model for other clinical subspecialty groups seeking to create a comprehensive educational resource for populations who lack easy access to specialty care.

Conclusions are Just a Start: A Conceptual Basis for Conclusions as the Strategic Component in Interpretive Presentations with a Typology of Designs

Most interpretive experiences occur in the leisure sector suggesting interpreters must provoke future engagement rather than compel future engagement. Consequently, the potency of the ending of interpretive presentations seems critical to motivating future and ongoing engagement among heritage site visitors. The quality of the conclusion of an interpretive program is likely to play a disproportionate role in whether audience members continue to explore their ongoing or developing interest. Yet conclusions are probably not equally effective. There are several known, and many more yet unrecognized methods for designing conclusions. A preliminary typology of novel designs well suited for constructing conclusions to heritage interpretation programs is presented.

Exploratory and directed search strategies at a social science data archive

Researchers need to be able to find, access, and use data to participate in open science. To understand how users search for research data, we analyzed textual queries issued at a large social science data archive, the Inter-university Consortium for Political and Social Research (ICPSR). We collected unique user queries from 988,475 user search sessions over four years (2012-16). Overall, we found that only 30% of site visitors entered search terms into the ICPSR website. We analyzed search strategies within these sessions by extending existing dataset search taxonomies to classify a subset of the 1,554 most popular queries. We identified five categories of commonly-issued queries: keyword-based (e.g., date, place, topic); name (e.g., study, series); identifier (e.g., study, series); author (e.g., institutional, individual); and type (e.g., file, format). While the dominant search strategy used short keywords to explore topics, directed searches for known items using study and series names were also common. We further distinguished exploratory browsing from directed search queries based on their page views, refinements, search depth, duration, and length. Directed queries were longer (i.e., they had more words), while sessions with exploratory queries had more refinements and associated page views. By comparing search interactions at ICPSR to other natural language interactions in similar web search contexts, we conclude that dataset search at ICPSR is underutilized. We envision how alternative search paradigms, such as those enabled by recommender systems, can enhance dataset search.

A randomized comparison of recruitment messages for a weight loss clinical trial targeting men working in trade and labor occupations

BackgroundEngaging diverse populations in clinical trials is vital to research. This study evaluated the effects of varying recruitment messages for a clinical trial. MethodsThe messages were evaluated in a randomly assigned, factorial design that tested enhanced trust (vs. standard) and participant endorsement (vs. standard) messaging.Four postcards were developed and randomly assigned to 4000 potential participants' addresses. Except for the messages of interest, the cards were identical, and participants were directed to four identical study websites and screening forms. Outcomes include unique website visits, visit conversion rate, screening forms completed, and participants randomized into the parent study. ResultsStudy websites received 74 visits (range by message type 9 to 34). There was no significant difference by message type (p = 0.79). Online screening forms were completed by 15 participants (range by message type 0–6), representing a conversion rate of 20.3% of website visits. Seven participants were randomized into the study in response to the postcards (range by message type 0 to 3; 46.7% of screenings). Overall, 0.2% of individuals who received a postcard were randomized into the study. ConclusionDespite developing recruitment messages with participant input, the enhanced messages did not yield a greater response than standard messages. However, this method of evaluating recruitment messages shows promise.

Expert System for Web Graphical User Interface Test Case Generation for Usability Test

The ease of use test (UT) process is used to evaluate the usability of a website or its point of contact without involving actual site visitors. UT can be done manually or with the use of mechanized equipment. The manual course of ease of use test is time-consuming and expensive. Manual labor needs additional resources (analyzers) and exceptional possibilities to counteract those consequences. The goal of this investigation is to improve the competency and reliability of experiments' (TC) age through; the test system is communicated using programmed test instruments. Robotized testing (RT) may be effective and precise. There are several robotized devices available for programming testing, with limited access to TC computerization. The efficient writing audit (SLR) was directed in this examination to sort out the gap(s) in current AT and huddle in TC age. Furthermore, the review was aimed at identifying the primary problems examined by various neighborhood analyzers during the process of physically generating TC. Fluffy reasoning master structure was used to generate TC based on the selected reasonable experiments. The fluffy rationale can emphasize non-probabilistic concerns, vulnerability, and multi-esteemed rationale. The information investigation was carried out to get access to the login page and trials were carried out provided the GRAPHIC USER INTERFACE instances using flowery reasoning. The framework extracted the watchwords, attributes, and conditions from the information examination code and displayed the results as experiments. A close examination was conducted among behavioral test system age processes using the fluffy-based master framework for evaluation. The assessment findings obtained through quantifiable examination show that the proposed framework is more productive and trustworthy for creating experiments than the manual framework.

The Role of Customer Trust Toward Digital Sales and Website Visitor Satisfaction on Customer Loyalty of Zara Indonesia

This study examines the variables that affect e-trust and e-satisfaction and how they affect e-loyalty. This study employs a conclusive and descriptive research design, gathering data through survey-based methodologies. Researchers utilize a particular kind of survey called a questionnaire. Only one cross-sectional research design was used in this study. Non-probability sampling combined with a judgmental sampling strategy is the method employed for sampling. LISREL is used in this study to process data utilizing SEM methods. According to the research, e-satisfaction is significantly positively impacted by perceived delivery efficiency. It was discovered, nevertheless, that e-satisfaction was not considerably affected by website design. Aside from that, e-trust is not significantly impacted by website design. However, e-trust is significantly positively affected by online privacy and security perceptions. Furthermore, it was discovered that e-loyalty is significantly positively affected by e-satisfaction. Ultimately, it was found that e-trust significantly improves e-loyalty as well.

How SEO and Analytics are Connected

Search Engine Optimisation (SEO) is essential for online presence and success in the digital world. Because SEO is dynamic, making informed decisions requires a data-driven strategy, which makes analytics an essential component. This study explores the deep relationship between analytics and SEO, highlighting the critical function analytics plays in developing, executing, and evaluating effective SEO efforts. This paper, breaks down important elements including keyword research, website traffic analysis, and content optimisation. It shows how analytics may help us understand target audience behaviour, website performance, and the effectiveness of SEO techniques. The first section of the paper outlines the foundations of SEO and emphasizes that improving organic search ranks is its main goal. It highlights how SEO algorithms are constantly changing and how maintaining online presence requires constant adaptability. The study then discusses analytics as a way to measure the effectiveness of SEO efforts. Thoughtful choice of keywords that appeal to a target audience is essential to SEO success. This study emphasizes how important analytics are for identifying search volume, trends, and competitive keyword analysis. Analytics enables data-driven keyword selections that optimize a website's chances of attracting relevant traffic. There is also a thorough examination of analytics' capacity to monitor website visitor trends. Extensive indicators like bounce rates, visitor demographics, and traffic sources offer valuable insights into how well SEO campaigns are working. This data makes it possible to spot possible problems, highlight effective strategies, and direct strategic adjustments. Understanding website user behaviour is a key component of search engine optimisation. Analytical tools like page views, time on site, and navigation pathways are essential for identifying patterns in user behaviour. When it comes to improving internal linking and content organization to increase user engagement and conversions, these insights are priceless. Content must closely match search intent to optimize SEO potential. This study explores the ways analytics can uncover search terms that direct users to a website. Optimizing content for these targeted search terms reinforces SEO efforts and allows them to more accurately meet customer requirements.

SoK: Analysis Techniques for WebAssembly

WebAssembly is a low-level bytecode language that enables high-level languages like C, C++, and Rust to be executed in the browser at near-native performance. In recent years, WebAssembly has gained widespread adoption and is now natively supported by all modern browsers. Despite its benefits, WebAssembly has introduced significant security challenges, primarily due to vulnerabilities inherited from memory-unsafe source languages. Moreover, the use of WebAssembly extends beyond traditional web applications to smart contracts on blockchain platforms, where vulnerabilities have led to significant financial losses. WebAssembly has also been used for malicious purposes, like cryptojacking, where website visitors’ hardware resources are used for crypto mining without their consent. To address these issues, several analysis techniques for WebAssembly binaries have been proposed. This paper presents a systematic review of these analysis techniques, focusing on vulnerability analysis, cryptojacking detection, and smart contract security. The analysis techniques are categorized into static, dynamic, and hybrid methods, evaluating their strengths and weaknesses based on quantitative data. Our findings reveal that static techniques are efficient but may struggle with complex binaries, while dynamic techniques offer better detection at the cost of increased overhead. Hybrid approaches, which merge the strengths of static and dynamic methods, are not extensively used in the literature and emerge as a promising direction for future research. Lastly, this paper identifies potential future research directions based on the state of the current literature.