Popular Search Research Articles

Increasing the detectability of long-period and nulling pulsars in next-generation pulsar surveys

Abstract Recent discoveries of multiple long-period pulsars (periods ${\sim}10\,$ s or larger) are starting to challenge the conventional notion that coherent radio emission cannot be produced by objects that are below the many theorised death lines. Many of the past pulsar surveys and software have been prone to selection effects that restricted their sensitivities towards long-period and sporadically emitting objects. Pulsar surveys using new-generation low-frequency facilities are starting to employ longer dwell times, which makes them significantly more sensitive in detecting long-period or nulling pulsars. There have also been software advancements to aid more sensitive searches towards long-period objects. Furthermore, recent discoveries suggest that nulling may be a key aspect of the long-period pulsar population. We simulate both long-period and nulling pulsar signals, using the Southern-sky MWA Rapid Two-meter (SMART) survey data as reference and explore the detection efficacy of popular search methods such as the fast Fourier transform (FFT), fast-folding algorithm (FFA) and single pulse search (SPS). For FFT-based search and SPS, we make use of the PRESTO implementation, and for FFA we use RIPTIDE. We find RIPTIDE’s FFA to be more sensitive; however, it is also the slowest algorithm. PRESTO’s FFT, although faster than others, also shows some unexpected inaccuracies in detection properties. SPS is highly sensitive to long-period and nulling signals, but only for pulses with high intrinsic signal-to-noise ratios. We use these findings to inform current and future pulsar surveys that aim to uncover a large population of long-period or nulling objects and comment on how to make optimal use of these methods in unison.

Climate change and environment issues in cyber media construction in Indonesia

Background: The issue of climate change and the environment has not become the primary focus of the media in Indonesia, but it is frequently featured in the news. This occurs because the media fulfils its function as a provider of information. Purpose: This study seeks to explain how cyber media constructs climate change and environmental issues in the news. Methods: Research with a qualitative approach and qualitative descriptive methods, with critical discourse analysis as the data analysis technique. The websites Kompas.com, Okezone.com, and Suara.com are the subject of study. Results: According to the study, climate is the word that appears the most frequently in the text of the three media. Change is the term that appears most frequently on Kompas.com and Suara.com. Indonesia is the most popular search term on Okezone.com. At the level of production, cyber media lacks an agenda-setting team, a dedicated channel, or a specialized team devoted to the environment and climate change. At the social level, they only generate news related to the environment and climate change if it has gone viral and is trending on social media. Conclusion: The research concludes that there are both distinctions and similarities among the three cyber media in terms of the words that appear most frequently in news articles about environmental issues and climate change. They lack agenda-setting, a dedicated channel, and a specialized team. They are oblivious to environmental issues and climate change. Implications: The research has implications for agenda setting from theoretical implications. The media does not set an agenda and only follows the viral, trending, and important public issues. The implication is that cyber media gives viral issues a news value.

Colony-Based Search Algorithm for numerical optimization

The efficiency of an Evolutionary Algorithm is highly sensitive to the mutation and crossover operators it possesses, as well as to the strategy used for determining the direction of numerical evolution and the values of evolutionary step sizes. There is no analytical method to efficiently define the direction of numerical evolution and the value of evolutionary step size for EAs. The efficiency of EAs' search processes is also influenced by their ability to maintain numerical diversity within the population. This paper introduces the Colony-Based Search Algorithm (CSA). The development of CSA was motivated by the scientific and industrial need for a relatively more efficient EA. CSA possesses relatively more efficient artificial genetic operators and strategies for producing evolutionary direction and step size, and the ability to maintain numerical diversity. CSA generates the Clan Matrix containing the pattern vectors to be evolved in the current iteration by randomly selecting pattern vectors from the Colony Matrix at the beginning of each iteration. This makes it easier for CSA to maintain numerical diversity among pattern vectors for a long time. CSA's mutation method includes three randomly blended components with different properties. The problem-solving performance of CSA is statistically compared with the problem-solving performance of eight popular evolutionary search methods (i.e., SADE, SHADE, LSHADE, COBIDE, JADE, CK, GWO, and SFS) by using benchmark functions of CEC'2017 and CEC’2022. In the experiments, the 3D viewshed analysis was addressed as a real-world problem, employing the CSA. The statistical analyses conducted on the experimental results indicate that CSA performs relatively better than the compared methods to solve numerical problems.

Histological significance of various types of adipose tissue (literature review)

The article presents the most significant modern aspects in the study of morphofunctional properties of various types of adipose tissue currently known (white, brown, beige).
 The purpose of the work is to generalize and expand knowledge about morphofunctional features in the structure and origin of each type.
 Material and methods: The analysis of data taken from 50 literary sources and the most popular scientific citation search engines of the Russian and foreign platforms (RSCI, PubMed, Web of Science) was carried out.
 Results: Studies of adipose tissue are mainly devoted to the development of metabolic syndrome, adaptation of the body to low temperature, physical exertion, regulation of thermogenesis. However, the role of each type of adipose tissue and the study of its morphofunctional changes in tissue repair require a special research approach.
 Conclusion: The study of secreted adiponectins as growth factors opens up new links in the regeneration and regulation of the activity of epithelial stem cells, the rate of progression of the hair growth cycle, wound regeneration and in the regulation of hematopoiesis. The study of various types of adipose tissue is a promising direction that allows us to further deepen knowledge about the pathophysiological mechanisms of metabolic syndrome.

MI[formula omitted]C: Mining intra- and inter-image context for person search

Person search aims to localize the queried person from a gallery of uncropped, realistic images. Unlike re-identification (Re-ID), person search deals with the entire scene image containing rich and diverse visual context information. However, existing works mainly focus on the person’s appearance while ignoring other essential intra- and inter-image context information. To comprehensively leverage the intra- and inter-image context, we propose a unified framework termed MI3C including the Intra-image Multi-View Context network (IMVC) and the Inter-image Group Context Ranking algorithm (IGCR). Concretely, the IMVC integrates the features from the scene, surrounding, instance, and part views collaboratively to generate the final ID feature for person search. Furthermore, the IGCR algorithm employs group matching results between query and gallery image pairs to measure the holistic image matching similarity, which is adopted as part of the sorting metric to yield a more robust ranking among the whole gallery. Extensive experiments on two popular person search benchmarks demonstrate that by mining intra- and inter-image context, our method outperforms previous state-of-the-art methods by conspicuous margins. Specifically, we achieve 96.7% mAP and 97.1% top-1 accuracy on the CUHK-SYSU dataset, 55.6% mAP, and 90.8% top-1 accuracy on the PRW dataset.

Analysis of the Role of Social Media in Film Marketing

The significance of social media has become an essential marketing medium for attracting and retaining customers. Social media enables users to connect and interact more frequently and closely than traditional media. The data produced by users deliver invaluable resources to boost marketing outcomes. Therefore, social media marketing has become the first choice in marketing. Among many marketing strategies, online word-of-mouth has gradually become essential to consumers' brand recognition and purchasing power. This online marketing strategy plays a substantial role in the film industry. A movie portrays culture, education, leisure, and propaganda by influencing one's thoughts and feelings. However, different from physical goods, movies are intangible, and people would not know if a movie exists if there is no promotion for this movie. This is the reason that movie is more dependent on marketing strategies. Consumers often consider buying a ticket based on what others have said about a movie online. Through the analysis of social media marketing, this paper examines the impact of social media on film marketing. Collect data on the frequency of people watching movies, the methods of obtaining movie information, whether to purchase tickets before purchasing and the impact of movie marketing on people's ticket purchases through a questionnaire survey. Collect the top 20 box office data in the Chinese Mainland on the Maoyan app, and collect the number of popular searches of the top 20 films at the box office through Sina Weibo. This paper mainly analyzed the box office data and the frequency of respondents viewing online posts before buying movie tickets. The results show that social media marketing is necessary for the movie industry because it helps attract customers and increases the box office.

Knowledge, Attitude, and Perception of Undergraduate Dental Students on Information and Communication Technology and Computer-assisted Learning.

The use of information and communication technology (ICT) in education and clinical purposes is growing immensely. The usage skill, attitude of dental students, and difficulties faced by students are important concerns to be addressed. The study was designed to investigate the knowledge, attitude, and skills of ICT of undergraduate dental students via assessing the ease of computer and internet use among students, the level of computer skills and training of the students, and usage pattern of computer activities. A cross-sectional survey was conducted among students of three dental colleges in Haryana using a self-designed questionnaire having sections related to demographics, devices, softwares and search engine usage, ICT skills, ICT attitude, and educational and social use. The response rate was 81.96%. A total of 99.1% of the individuals responded affirmatively to the usage of mobile phones, 48.4 and 13.1% for laptops and tablets, respectively. The average duration of use of smartphones per day was 4.2121 ± 2.834 hours. Google was opted as the most popular search engine used and PubMed the least popular. Only 12.9% of participants showed a negative attitude toward the use of ICT in studies. More social use than academic use was observed. Attitude scores showed a significant correlation with the educational use of ICT (r = 0.89, p = 0.003). Most of the participants were well acquainted with the usage and had a positive attitude toward ICT for educational purposes. Sensitization and training in scientific literature search and basics of ICT and their practical utilization in dental education, research, and practice should be included in the curriculum. Sikka N, Arya L, Bala S, et al. Knowledge, Attitude, and Perception of Undergraduate Dental Students on Information and Communication Technology and Computer-assisted Learning. Int J Clin Pediatr Dent 2023;16(5):711-715.

Creating a Compelling Data Story: Inside a Search Engine's Ad Sales Strategy

The case revolves around a marketing/sales executive who works in the Ad Sales wing of a popular search engine. Over the course of the case, the protagonist realizes that their marketing strategy needs to refocus on a different vertical than the one they have been paying the most attention to. He had done the required data analysis and feels the data strongly points to a need for change in their strategy. However, he needs to convincing the higher management by put together a compelling pitch using storytelling elements, so that the message in his data gets across clearly, compelling them to act.

Como ensinar design interespécies? O ensino formal em biodesign

The community of biodesign (interspecies design collaborations) seems to be heading toward solid self-organization and formalization. Some authors speculate that the approximation to biology could mark the design practice of the 21st century. It seems relevant to understand how teaching and learning are happening in biodesign to develop how it could be further introduced in design curricula. It doesn’t seem that an analysis of formal education was made yet. To address this research gap, this paper aims to understand the formal education scene in biodesign through an analysis of some of the main biodesign courses and programs. The methodological strategy is a systematic and a narrative review through a popular search engine. 16 results were analyzed: 1 Masterclass for Professionals, 8 courses, 1 undergraduate course (Major), 4 master’s, and 2 Ph.D. programs

Google Search Trends to assess public interest in and concern about Vuity for treating presbyopia.

To assess public awareness, interest, and concerns regarding Vuity (1.25% pilocarpine hydrochloride ophthalmic solution), an eye drop for the treatment of presbyopia, based on Google Trends. We used Google Trends that provides a relative search volume for queried terms, to evaluate searches for Vuity from June 30, 2021, to June 30, 2022, in the United States. The data for this study were downloaded on June 30, 2022. Main outcome measures were changes in relative search volumes for the terms "Vuity," "Eye drops for reading," "Eye drops for near vision," "Presbyopia," "Pilocarpine," and related popular search terms, such as "Vuity side effects," and "Vuity retinal detachment". Since the approval of Vuity on October 29, 2021, notable increases in the relative search volumes occurred for Vuity in October 2021, December 2021, and from March to April 2022, which coincided with its approval, availability, and subsequent direct-to-consumer advertising based on positive results of clinical trials. The direct-to-consumer advertising had the greatest impact on the search volume for Vuity. Specific interests included Vuity cost, where to buy it, and its side effects. Retinal detachment was the most highly searched Vuity side effect. Geographic variation was evident, with the relative search volumes highest for "Vuity" in Wyoming, followed by North Dakota. Google Trends is a useful tool for monitoring increases in public interest in Vuity for presbyopia. Public concerns regarding side effects warrant further real-world investigations of the causal relationship between Vuity and retinal detachment.

Usability of Patient Education–Oriented Cataract Surgery Websites

PurposeTo assess the web accessibility and readability of patient-oriented educational websites for cataract surgery. DesignCross-sectional electronic survey. SubjectsWebsites with information dedicated to educating patients about cataract surgery. MethodsAn incognito search for “cataract surgery” was performed using a popular search engine. The top 100 patient-oriented cataract surgery websites that came up were included and categorized as institutional, private practice, or medical organization according to authorship. Each site was assessed for readability using four standardized reading grade-level formulas. Accessibility was assessed through multilingual availability, accessibility menu availability, complementary educational video availability, and conformance and adherence to the Web Content Accessibility Guidelines (WCAG) 2.0. A standard t-test and chi-squared analysis were performed to assess the significance of differences with regard to readability and accessibility among the three authorship categories. Main Outcome MeasuresThe main outcome measures were the website’s average reading grade level, number of accessibility violations, multilingual availability, accessibility menu availability, complementary educational video availability, accessibility conformance level, and violation of the perceivable, operable, understandable, and robust (POUR) principles according to the WCAG 2.0. Results32, 55, and 13 sites were affiliated with institutions, private practice, and other medical organizations, respectively. The overall mean reading grade was 11.8 ± 1.6, with higher reading levels observed in private practice websites compared to institutions and medical organizations combined (12.1 vs. 11.4; P=0.03). Fewer private practice websites had multiple language options compared to institutional and medical organization websites combined (5.5% vs. 20.0%; P=0.03). More private practice websites had accessibility menus than institutions and medical organizations combined (27.3% vs. 8.9%; P=0.038). The overall mean number of WCAG 2.0 POUR principle violations was 17.1 ± 23.1 with no significant difference among groups. Eighty-five percent of websites violated the perceivable principle. ConclusionsAvailable patient-oriented online information for cataract surgery may not be comprehensible to the general public. Readability and accessibility aspects should be considered when designing these resources.

Online Patient Education Resources for Anterior Cruciate Ligament Reconstruction: An Assessment of the Accuracy and Reliability of Information on the Internet Over the Past Decade.

The purpose of this study is to evaluate the quality of patient education materials accessible through popular online search engines regarding anteriorcruciateligament (ACL) injuries and anteriorcruciateligament reconstruction (ACLR). Methods: Two search terms ("ACL surgery" and "ACL reconstruction") were entered into three search engines (Google, Yahoo, and Bing). The quality of information was scored using a novel scoring system developed and overseen by sports medicine orthopedic clinical research fellows and fellowship-trained orthopedic surgeons. Website quality, credibility, and readability were further assessed by the DISCERN score, Journal of the American Medical Association (JAMA) benchmark criteria, and Flesch-Kincaid Reading Grade Level (FKRGL), respectively. The Health On the Net Code of Conduct (HONcode) certification was also utilized to assess the transparency of health information for each website. We evaluated 39 websites. The average score for all websites was 11.2±5.6 out of 28 total points. Six out of the 39 websites (41%) were HONcodecertified. The websites that contained HONcode certification had a higher average JAMA benchmark score (3.5±0.7) and DISCERN score (44.6±14.7) when compared to the websites without the certification, 2.2±1.2and 37.6 ± 15.9for JAMA and DISCERN, respectively. The mean JAMA benchmark score was 2.7±1.2 (67.5%) for all websites out of a possible four points. The average FKRGL for all 39 websites was 10.0±2.0 (range: 5.4-13). The quality of patient education materials accessible on the internet regarding ACL injuries and ACLR can be misleading and directly impact the patient's decision-making process essential to the patient-physician relationship over the past decade. The internet can be a helpful online resource, however, surgeon clarification and consultation with qualified healthcare professionals are strongly recommended prior to clinical decision-making regarding potential treatment options.

India’s sustaining challenges to combat rabies elimination: a comprehensive review

Rabies is one of the fatal zoonotic diseases wreaking havoc on humanity since antiquity. India continues to suffer the greatest rabies burden of any country, both in terms of annual human deaths and disability-adjusted life years. While modern rabies management emphasizes the importance of achieving zoonotic disease control and prevention through a One Health approach, the disease remains challenging as its persistence is invariably multifaceted. Therefore, it is imperative to examine the enduring reasons for the increasing incidence of rabies in India. Between 2012- 2022, a systematic search of scientific publications, popular search engines like Google, as well as in the grey literature regarding rabies was carried out. Since rabies elimination boils down to addressing the reasons, it is first seen related to the large and unvaccinated stray dog population, where 97% of cases are by dog bites. A second finding is that many bite victims resorted to indigenous treatment practices due to insufficient awareness and knowledge about the disease. Incomplete treatment practices also led to some deaths, especially because rabies vaccines are not affordable or accessible to poverty-stricken populations. Rarely, vaccine failures were caused by a lack of vaccine potency, a wound type, or ineffective administration methods. Even with all these data incorporated, there was no information on prevalence/incidence estimates of dog bites in recent years through national data. Therefore, without intensified surveillance, sustained political commitment, enormous mobilization of resources, and rabies education, the epidemic waves of this fatal disease will continue in India.

POTENTIAL APPLICATIONS OF BIOACTIVE COMPONENTS FROM BROWN ALGAE

Recently, macroalgae has found extensive utilization within the domain of biotechnology. Based on their variety of bioactive components, species of class Phaeophyceae are involved in the food, cosmetic, and pharmaceutical industries. Studies have proved that these unique compounds show beneficial activities for human health. With peculiar properties, including antioxidant, antimicrobial, antiviral activities, and related functionalities, each compound holds potential value for human health. This review discusses the bioactive compounds of brown algae and the recent multiple applications of those components that make up algae’s potential in industrial companies. The review was conducted by searching and selecting references related to the content of interest with popular web search engines such as Google Scholar and PubMed.

Internet Health Resources on Nocturnal Enuresis: A Readability, Quality, and Accuracy Analysis.

Nocturnal enuresis is a common yet quality-of-life-limiting pediatric condition. There is an increasing trend for parents to obtain information on the disease's nature and treatment options via the internet. However, the quality of health-related information on the internet varies greatly and is largely uncontrolled and unregulated. With this study, a readability, quality, and accuracy evaluation of the health information regarding nocturnal enuresis is carried out. A questionnaire was administered to parents and patients with nocturnal enuresis to determine their use of the internet to research their condition. The most common search terms were determined, and the first 30 websites returned by the most popular search engines were used to assess the quality of information about nocturnal enuresis. Each site was categorized by type and assessed for readability using the Gunning fog score, Simple Measure of Gobbledygook (SMOG) index, and Dale-Chall score; for quality using the DISCERN score; and for accuracy by comparison to the International Children's Continence Society guidelines by three experienced pediatric urologists and nephrologists. A total of 30 websites were assessed and classified into five categories: professional (n = 13), nonprofit (n = 8), commercial (n = 4), government (n = 3), and other (n = 2). The information was considered difficult for the public to comprehend, with mean Gunning fog, SMOG index, and Dale-Chall scores of 12.1 ± 4.3, 14.1 ± 4.3, and 8.1 ± 1.3, respectively. The mean summed DISCERN score was 41 ± 11.6 out of 75. Only seven (23%) websites were considered of good quality (DISCERN score > 50). The mean accuracy score of the websites was 3.2 ± 0.6 out of 5. Commercial websites were of the poorest quality and accuracy. Websites generally scored well in providing their aims and identifying treatment benefits and options, while they lacked references and information regarding treatment risks and mechanisms. Online information about nocturnal enuresis exists for parents; however, most websites are of suboptimal quality, readability, and accuracy. Pediatric surgeons should be aware of parents' health-information-seeking behavior and be proactive in guiding parents to identify high-quality resources.

Exploring the health information-seeking practices of breast cancer patients in a middle-income country with a diverse ethnic population: a cross-sectional investigation.

Seeking health information is an important step for cancer patients to understand their condition and facilitate treatment. It also helps them deal with the unknown and aid in recovery. Therefore, it is vital to understand the factors that drive health information-seeking behavior. This study aims to achieve that objective in a localized context by surveying 421 breast cancer patients in an urban teaching hospital. The patients were presented with a 5-point questionnaire that explored their demography, health status, information-seeking behavior, and literacy level. The prevalence of health information-seeking initiatives reported was 60%. Patients with higher education (OR 3.31; 95% CI (1.39-7.87), p = 0.01), having their own business or were self-employed (OR 4.68; 95% CI (1.03-21.24), p = 0.046), and in a Medium 40 (M40) income level (OR 2.31; 95% CI (1.09-4.88), p = 0.03) and Top 20 (T20) level were more likely to seek health information. The mean e-Health Literacy Score (eHEALS) was 28.01 ± 5.0, with healthcare professionals having the highest level of trust (mean 4.22 ± 0.79) and most useful resource score (mean 4.21 ± 0.78). Even though Google was the most popular online search tool used by respondents, most of them seldom (23.77%) or had never (34.34%) discussed the online information they found with healthcare professionals. In conclusion, it is still best for patients to appraise the sought-after information with experts to avoid misinformation and treatment delay.

The trouble with tagging: a queer porn company tussles to find the right words

ABSTRACT While major media outlets repost Pornhub’s popular search terms and ‘debate’ trans rights, the discussions among queer porn producers about tagging and gender are more nuanced. Tags (descriptive keywords assigned to films and performers) have many uses, but applying gendered terms to bodies is fraught with complex biases. We share our experiences, formed by working with creators and customers on the porn sites PinkLabel.TV and CrashPadSeries.com, to reveal the challenges of evolving language and technology that respects artists and audiences alike.

Insights from the media into the bird trade in India: an analysis of reported seizures

AbstractIndia has an extensive bird trade that provides income and livelihoods for many people but involves considerable unregulated and illegal activity, threatening both native and exotic species and posing potential health risks to people and wildlife. Action to curb illegal trade is vital, but there is currently a lack of information on trade routes and the species involved to inform the development of strategies to address such trade. We therefore examined media reports of bird trade seizures published during 2010–2020 as a cost-effective approach to gaining insights into the composition and structure of the bird trade in India. We collected 182 media reports referring to 109 seizure events by searching for keywords on popular search engines and Indian newspaper websites. We found that 25,850 birds were seized, most frequently members of the family Psittacidae. Of the 58 species identified, 18 were native and 40 non-native to India. The greatest numbers of birds were seized in Uttar Pradesh. Analyses of trade networks indicate that Uttar Pradesh is an important trade hotspot particularly for native species and has strong transnational connections with neighbouring Nepal. We identified West Bengal as an important trade hotspot, particularly for non-native species, probably because of its extensive land borders with neighbouring countries, including Bangladesh. Our study highlights priority areas for interventions as well as key knowledge gaps that need to be addressed to facilitate the development of strategies to manage illegal, unsustainable and otherwise harmful trading of birds.

Online resources for information on shoulder arthroplasty: an assessment of quality and readability.

Many patients use online resources to educate themselves on surgical procedures and make well-informed healthcare decisions. The aim of our study was to evaluate the quality and readability of online resources exploring shoulder arthroplasty. An internet search pertaining to shoulder arthroplasty (partial, anatomic, and reverse) was conducted using the three most popular online search engines. The top 25 results generated from each term in each search engine were included. Webpages were excluded if they were duplicates, advertised by search engines, subpages of other pages, required payments or subscription, or were irrelevant to our scope. Webpages were classified into different source categories. Quality of information was assessed by HONcode certification, Journal of the American Medical Association (JAMA) criteria, and DISCERN benchmark criteria. Webpage readability was assessed using the Flesch reading ease score (FRES). Our final dataset included 125 web pages. Academic sources were the most common with 45 web pages (36.0%) followed by physician/private practice with 39 web pages (31.2%). The mean JAMA and DISCERN scores for all web pages were 1.96±1.31 and 51.4±10.7, respectively. The total mean FRES score was 44.0±11.0. Only nine web pages (7.2%) were HONcode certified. Websites specified for healthcare professionals had the highest JAMA and DISCERN scores with means of 2.92±0.90 and 57.96±8.91, respectively (P<0.001). HONcode-certified webpages had higher quality and readability scores than other web pages. Web-based patient resources for shoulder arthroplasty information did not show high-quality scores and easy readability. When presenting medical information, sources should maintain a balance between readability and quality and should seek HONcode certification as it helps establish the reliability and accessibility of the presented information. Level of evidence: IV.

How Well Do Artificial Intelligence Chatbots Respond to the Top Search Queries About Urological Malignancies?

Artificial intelligence (AI) chatbots are becoming a popular source of information but there are limited data on the quality of information on urological malignancies that they provide. Our objective was to characterize the quality of information and detect misinformation about prostate, bladder, kidney, and testicular cancers from four AI chatbots: ChatGPT, Perplexity, Chat Sonic, and Microsoft Bing AI. We used the top five search queries related to prostate, bladder, kidney, and testicular cancers according to Google Trends from January 2021 to January 2023 and input them into the AI chatbots. Responses were evaluated for quality, understandability, actionability, misinformation, and readability using published instruments. AI chatbot responses had moderate to high information quality (median DISCERN score 4 out of 5, range 2–5) and lacked misinformation. Understandability was moderate (median Patient Education Material Assessment Tool for Printable Materials [PEMAT-P] understandability 66.7%, range 44.4–90.9%) and actionability was moderate to poor (median PEMAT-P actionability 40%, range 0–40%The responses were written at a fairly difficult reading level. AI chatbots produce information that is generally accurate and of moderate to high quality in response to the top urological malignancy–related search queries, but the responses lack clear, actionable instructions and exceed the reading level recommended for consumer health information. Patient summaryArtificial intelligence chatbots produce information that is generally accurate and of moderately high quality in response to popular Google searches about urological cancers. However, their responses are fairly difficult to read, are moderately hard to understand, and lack clear instructions for users to act on.