Articles tagged with Search Engines
A new study found that prepopulating e-commerce search bars with trending or personalized keywords increases purchase incidence by 10.4% and overall spending by 8.8%. The research also reveals that these design choices shape the entire online shopping journey, from query to checkout.
The project aims to develop personalized technologies that promote lifelong learning in various educational settings. It will guide the creation of IR systems that can effectively support users with complex information needs and foster information literacy.
GigaScience Press has won the first-ever Crossref Metadata Award, recognizing its efforts in providing high-quality metadata for its journal GigaByte. The award highlights the press's commitment to making research more discoverable and accessible through rich metadata standards.
Researchers applied web search algorithms to prioritize critical infrastructure protection. The multilayer approach stops failure faster with fewer damaged structures than other methods. It identifies systems with influence going both ways, helping defenders prevent cascade failures.
The MAMUT project aims to deliver a compact, lightweight, and energy-efficient terminal designed for use in static, mobile, and autonomous applications. The terminal will connect with multi-orbit satellites to provide high-speed internet access, enhancing global configurability and reducing costs.
A new study reveals a dramatic increase in sports betting and gambling addiction help-seeking since the Supreme Court legalized sportsbooks in 2018. Online sportsbooks have had a substantially greater impact on this issue than traditional brick-and-mortar sportsbooks, with nationwide searches for help increasing by 23% nationally.
The partnership aims to strengthen ProRata's search engine, Gist.ai, by incorporating AAAS's open-access journal Science Advances and award-winning news stories. This will provide a more informed relationship between readers, AI tools, and original sources of scientific information.
A recent study by UCL researchers reveals that people with poorer mental health are more prone to browsing negative content online, which further exacerbates their symptoms. The study found that adding 'content labels' to webpages can help users make healthier and more informed decisions about the content they consume.
A new study by Penn State researchers suggests that making AI training data diversity information available can shape users' expectations of algorithmic fairness and trust. Displaying racial diversity cues in AI interfaces can enhance users' perceptions of algorithmic fairness and trust, according to the study's findings.
Researchers discovered people in a positive mood use 'happier' words when searching for products, increasing ad clicks by 50%. Marketers may benefit by targeting happier shoppers earlier in the buying process.
Research suggests that four proposed AI search engines for automating search and retrieval of digital histopathology slides have inadequate performance for routine clinical care. The algorithms showed less than 50% accuracy in some cases, highlighting the need for rigorous external validations and standardization before clinical adoption.
A recent study analyzed health information on TikTok to identify trends in video quality, finding that nearly half of the videos contained non-factual information. The researchers also found that non-medical influencers were more likely to produce misleading content, which can lead to detrimental health outcomes.
A recent study on the Tor network found that one in five onion domains shared child sexual abuse material. The researchers also discovered that users sought CSAM through popular search engines and found that viewing violent material correlates with addiction, while seeking help is often hindered by lack of resources.
A new study by researchers at New York University found that searching online to evaluate the truthfulness of false news articles actually increases the probability of believing misinformation. This phenomenon is concentrated among individuals for whom search engines return lower-quality information.
A University of Kansas study analyzed over 1,000 AI-generated ads and found that they are only labeled as ads about half the time, often appealing to consumers in positive ways. The prevalence of AI in programmatic advertising raises concerns about consumer deception and the need for updated guidelines to require transparency.
Following the leaked SCOTUS draft ruling, internet searches for abortion medication increased by 350,000 during the first week of May. These searches were more prevalent in states with restrictive reproductive rights.
A new study by Bocconi University researchers found that Google searches are an effective tool to track and predict domestic violence, especially in crisis situations. The study analyzed keywords related to domestic violence and found a positive correlation with calls to the Italian helpline and emergency number.
A new study by New York University's Center for Social Media and Politics found that labeling credible sources does not shift people away from low-quality information or reduce misperceptions. However, providing credibility indicators may improve the news diet quality of heavy misinformation consumers.
A Simon Fraser University study found that Google's autocomplete subtitles for 37 conspiracy theorists were never consistent with their behavior. The labels often normalized individuals who spread misinformation and harm to minority groups. Researchers call for Google to review these subtitles to better inform the public.
New research found that Black Lives Matter protests led to a surge in online searches for anti-racist terms and topics, with spikes in searches continuing even after the initial protests. The study also showed that these increased search volumes were correlated with higher daily visits to Wikipedia pages on related topics.
A recent study found that Google's image search for occupations like CEO still displays significant gender bias, even after the company claimed to have fixed the issue. The researchers proposed three algorithms to address this problem and tested them on four major search engines.
A study found that search engines like Yandex and Google often display inaccurate information about health treatments, including false claims about remedy effectiveness. The researchers argue that clearer warnings about possible health risks are needed for medical queries.
Researchers developed an algorithm to rank apps based on their privacy scores, allowing users to easily find and install non-intrusive apps. The system considers two scores: permission and listener access, providing a ranking of apps from least intrusive to most private.
A new study published in the Journal of Financial Economics found that restricting internet searches for investors can lead to increased stock market instability. The research, conducted by RMIT University, discovered that firms regularly searched on Google were 19% more unstable after Google's withdrawal from mainland China in 2010.
A recent study found that Google Scholar systematically relegates non-English language documents to invisible positions, even among quality articles with hundreds of citations. This bias can have detrimental effects on researchers from non-English speaking countries, leading them to believe there is no literature in their native language.
Research finds cheap herbal cigarettes and bidis are widely available online, often with unverified health claims, and may act as a gateway to conventional tobacco products. The study calls for urgent regulation of their sale and marketing.
The new ViruSurf system facilitates rapid exploration of genomic data, enabling better understanding of viral mutation patterns. Researchers can now query when mutations started and how they spread globally.
A Michigan State University researcher found that counterfeit identity documents are being sold on the open web, with most buyers seeking passports from European countries. The study also revealed that vendors use specific language to appeal to their audience and often offer discounts for referrals.
A study found that independent search engines often return anti-vaccine websites, while internet giants like Google.com typically do not. This raises concerns about the spread of misinformation and its impact on vaccine hesitancy.
Researchers at RIT developed MathDeck, an online search interface that allows anyone to easily create, edit, and lookup sophisticated math formulas. The math-aware search interface uses image processing and machine learning techniques to recognize formula images and hand-drawn symbols.
A study analyzing 100 billion tweets identified thousands of stretched words, including 'ha', 'awesome', and 'goal'. The researchers developed tools to measure stretch and balance, which could aid in natural language processing, search engines, and spam filters.
A new study in the Journal of Marketing finds that consumers use social media and on-site product pages early in their journey for hedonic purchases, while utilizing third-party reviews and search engines closer to the time of utilitarian purchase. The study offers actionable insights for retailers, including investing in social media ...
Researchers analyzed web browsing behavior of 5,000 German Internet users, discovering that intermediaries like Facebook and Google encourage more visits to news sites and greater news site diversity. This counters the notion of filter bubbles and echo chambers on the Internet.
Families of patients who died after medical errors argue that the term 'second victim' is incompatible with patient safety and accountability. They suggest abandoning this term as it reinforces an inward-gazing provider-centric approach to healthcare.
A new study by MIT researchers puts a dollar value on free digital goods people use, including Facebook ($40-$50/month), YouTube ($1,173/year), and digital maps (59 euros/$67/month). The surveys drew 65,000 responses and found significant consumer surplus beyond prices paid.
The Bitsliced Genomic Signature Index (BIGSI) allows researchers to identify antibiotic resistance genes and mutations in real time, making vast amounts of genomic data discoverable. This enables the study of disease dynamics, understanding of bacterial ancestry, and prediction of drug resistance.
A recent study published in Marketing Science proposes a semantic approach to estimating consumer content preferences from online search queries. The researchers used a topic model that combines information from multiple search queries and their associated search results to establish context for individual search terms.
Researchers found that information on support services was significantly more likely to be displayed in English-speaking countries. The study uncovered striking differences not only between countries but also within countries with multiple officially recognized languages.
A new study analyzing online dating website interactions in four major US cities found that both men and women pursued partners about 25% more desirable than themselves. The authors discovered a consistent hierarchy of desirability based on age, education, gender, and race/ethnicity.
A new study from Binghamton University found that advertisers may be getting more clicks by placing ads in lower positions if they prioritize website quality, brand equity, and selling proposition over top spot ad placement. The model helps advertisers quantify expected clicks based on these factors.
A forthcoming study in Marketing Science journal reveals that Google's ban of sponsored search advertising by certain pharmacies had a limited effect on reducing consumer access to foreign pharmacies. Consumers still accessed cheaper, non-regulated prescriptions through organic links after the ban.
A team of researchers from the University of Texas at Austin has developed novel approaches to information retrieval that leverage artificial intelligence, crowdsourcing, and supercomputing. Their method combines input from multiple annotators to determine the best overall annotation for a given text, improving accuracy in extracting d...
Researchers found that users who are actively shopping in a category are more likely to search for any brand, but as users move from recognition to purchase intent, they become increasingly more likely to search for the specific brand. Brand owners are also more likely to search for their brand, even when not actively shopping.
Young people struggle to access mental health services due to technology limitations, research finds. Search engines and content providers can improve accessibility by making useful material more visible.
The Internet of Things (IoT) will require new search mechanisms to support billions of connected devices, demanding machine-to-machine searches and secure data access. Complex IoT technologies like smart cities, autonomous cars, and environmental monitoring need efficient indexing and ranking mechanisms.
A team from Michigan Tech developed an online search engine to explore inactive US patents, which are nearly half of all registered patents. The tool helps inventors and innovators find potential goldmines for new developments.
Search engine algorithms can be modified to better target users at risk of suicide, according to a study by LMU researchers. The findings suggest that algorithms should be regularly updated to take into account objective factors that increase the risk of suicide, making a greater contribution to prevention.
Researchers created the largest data set for studying African-American English from online communication, analyzing 59 million tweets. They found that current NLP tools poorly identify African-American English as 'not English', implying worse information access for texts authored by African-Americans.
Researchers have developed a system that uses fuzzy logic to analyze web addresses and detect redirection spam. The system provides an extra layer of security against phishing and malware attacks by assigning a probability to whether a suspicious link is safe or spam.
Researchers have developed GeNemo, an innovative search engine for functional genomic data. This tool allows users to search inside the data using pattern matching, enabling discoveries of functional aspects in specific genome regions associated with normal physiology or disease.
A novel text analysis technology developed by Ambiverse improves searching large text collections with artificial intelligence, resolving ambiguities automatically. The technology assists authors in researching and writing texts by providing background information and suggesting links to relevant web sites.
A recent IU study analyzing over 100 million Web clicks and 1.3 billion public posts reveals that social media news consumers access a narrower range of sources, contributing to the rise of collective social bubbles. This trend is attributed to people filtering their access to information through social media platforms.
A team of bioinformaticians at the University of Jena has developed a new search engine, 'CSI:FingerID', that significantly simplifies the identification of molecular structures of metabolites. The tool reduces the number of possible compounds from thousands to ten, making it feasible for precise lab tests to identify specific compounds.
Researchers found major search engines provide irrelevant information for online health diagnosis, leading to incorrect self-treatment and potential harm. The study suggests improving search engines to promote more effective results is crucial to prevent cyberchondria.
Juliana Freire is developing scalable techniques for traditional search engines, enabling focused crawling for tracking criminal activities and integrating crawling with search and data analysis. Her research also aims to address human trafficking, a key Defense Department mission with a significant web presence.
The SciNet search engine outperforms current ones by displaying keywords related to user searches in a topic radar, enabling faster and more diverse search results. This technology helps people find information more efficiently, even when they're unsure of their search query.
Dartmouth researchers have created an AI software that uses images to locate documents on the internet with greater accuracy than ever before. The system, tested on over 600 search queries, shows a 30% improvement in precision over traditional text-based search engines.
A new study by Columbia Business School found that consumers using less popular search terms have higher click activity and are more targetable for paid advertising. The research also showed that day of the week has no impact on click likelihood, with consumers investing more effort in products they're searching for.
A new INFORMS study finds that buying competitors' brand names as keywords on search engines can backfire if the advertising brand is inferior to the rival. The authors provide a framework for choosing keywords among brand names, offering advertisers a way to optimize their search ads.
Researchers created a prototype automated system to check millions of lines of code for consistency with privacy promises. They employed a new language, Legalease, and used Grok to annotate existing programs, allowing for high accuracy in compliance checks.