Die wissenschaftsgeleitete Politik- und Gesellschaftsberatung hat in den letzten Jahren enorm an Bedeutung gewonnen und ist fortwährend vielfältiger geworden. Politische Entscheidungen basieren immer häufiger auf empirischen Forschungsergebnissen und Gutachten. Allerdings kann die Suche nach...

Search engines play a central role in online content discoverability, acting as a major gateway for users to access online information. As part of their activities, they may drive traffic towards websites that offer illegal goods and services, such as counterfeit products or pirated content....

Objective Little research has been done on the user-centered document ranking approach, especially in a crowdsourcing chart review environment. As the starting point of designing and implementing the next generation of Electronic Medical Record (EMR) search engines, a systematic user study is...

With the booming of LLM technologies (e.g., ChatGPT), people's goals and behaviors in information search have been reshaped significantly. This paper attempts to conceptually discuss how LLM technologies might revolutionize these important aspects in information search and provides a...

The aspect-based sentiment analysis of hotel reviews represents a critical yet underexplored area of research. Such reviews encompass a range of expressions that extend beyond simple positive, negative, or neutral sentiments, delving into specific aspects discussed within the review. For...

Internet plays a crucial role in the modern digital period, government make official pronouncement online, politician campaign online, writers find audience online, teachers find students online, resource experts find researchers online, land protest movement find traction online and advocates...

We live in a world where digital images are constantly generated during our daily activities, whether private or business. They play an important role in our private life, showing important moments, people, places, or events and keeping their memory. Images are unavoidable in business,...

We study the impact of web search personalization on ideological segregation in search results. We deploy 150 synthetic internet users with randomized partisan preferences across 25 US cities. These users generate authentic browsing histories and are active during the US 2020 election and its...

Document (text) classification is a common method in e-business, facilitating users in the tasks such as document collection, analysis, categorization and storage. Semantic analysis can help to improve the performance of document classification. Though having been considered when designing...

Modern-day search platforms generally have two layers of information presentation. The outer layer displays the collection of search results with attributes selected by platforms, and consumers click on a product to reveal all its attributes in the inner layer. The information revealed in the...

How do privacy regulations in the market impact online search for products and information? This paper investigates the impact of the General Data Protection Regulation (GDPR for short) on consumers’ online browsing and search behavior using consumer panels from four countries, United Kingdom,...

We develop a flexible yet tractable model of consumer search and choice, and applyit to the problem of product rankings optimization by online retail platforms. In themodel, products are characterized by an observable search index, which governs whatconsumers search; and a utility index, which...

New sorted out web databases keep up enormous and assorted information and these genuine databases incorporate more than hundreds or even a colossal number of relations and characteristics. Normal predefined request structures are not prepared to satisfy distinctive uncommonly selected inquiries...

This paper studies the effects of the high-speed internet expansion on the match quality of new hires. We combine data on internet availability at the local level with German individual register and vacancy data. Results show that internet availability has no major impact on the stability of new...

Consider the problem faced by a decision maker (DM) who must select the order in which to evaluate the unknown alternatives displayed by an online search engine. DMs do not know the distribution of the realizations that result from clicking on an alternative and must therefore account for the...

This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include...

We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study participants. Using this...

The ability to access existing patents and patent-related information can have significant impacts on technology development and commercial markets. While such information is now available online, requesting the information about a specific technology remains a nontrivial task. The reason is...

Using Internet search volume for lottery to capture gambling sentiment shifts, we show that when the overall gambling sentiment is high, investor demand for lottery-like stocks increases, these stocks earn positive short-run abnormal returns, managers are more likely to announce stock splits to...

We use high frequency internet search data to study in real time how US households sought out online learning resources as schools closed due to the Covid-19 pandemic. By April 2020, nationwide search intensity for both school- and parent-centered online learning resources had roughly doubled...

As COVID-19 continues to wreak havoc across the world, researchers are attempting to quantify the economic fallout from the pandemic as it continues to unfold. Estimating the economic impacts of a prevailing pandemic is fraught with uncertainties about the epidemiology of the disease and the...

Despite a 20-year trend toward integrated marketing communications, advertisers seldom coordinate television and search advertising campaigns. We find that television advertising for financial services brands increases both the number of related Google searches and searchers’ tendency to use...

When making a decision, humans consider two types of information: information they have acquired through their prior experience of the world, and further information they gather to support the decision in question. Here, we present evidence that data from search engines such as Google can help...

Search has arguably become the dominant paradigm for finding information on the World Wide Web. In order to build a successful search engine, there are a number of challenges that arise where techniques from artificial intelligence can be used to have a significant impact. In this paper, we...

We extend Latent Dirichlet Allocation (LDA) by introducing a topic model, Hierarchically Dual Latent Dirichlet Allocation (HDLDA), for contexts in which one type of documents (e.g., search queries) are semantically related to another type of documents (e.g., search results). In the context of...

We develop a flexible content-based search model that links the content preferences of search engine users to query search volume and click-through rates. Content preferences are defined over latent topics that describe the content of search queries and search result descriptions. Moreover, our...