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Generative search systems are increasingly replacing link-based retrieval with AI-generated summaries, yet little is known about how these systems differ in sources, language, and fidelity to cited material. We examine responses to 11,000…

Information Retrieval · Computer Science 2026-03-18 Michelle Huang , Agam Goyal , Koustuv Saha , Eshwar Chandrasekharan

User-generated content is central to social computing scholarship. However, researchers and practitioners often presume that these users are alive. Failing to account for mortality is problematic in social media where an increasing number…

Social and Information Networks · Computer Science 2019-04-11 Jialun "Aaron" Jiang , Jed R. Brubaker

Internet research on search engine quality and validity of results demand much concern. Thus, the focus in our study has been to measure the impact of quotation marks usage on the internet search outputs in terms of google search outcomes…

People have a high level of trust in search engines, especially Google, but only limited knowledge of them, as numerous studies have shown. This leads to the question: To what extent is this trust justified considering the lack of…

Information Retrieval · Computer Science 2021-03-16 Sebastian Schultheiß , Dirk Lewandowski

Prediction and quantification of future volatility and returns play an important role in financial modelling, both in portfolio optimization and risk management. Natural language processing today allows to process news and social media…

Statistical Finance · Quantitative Finance 2020-12-14 Justina Deveikyte , Helyette Geman , Carlo Piccari , Alessandro Provetti

We examine what happens in a population when it experiences an abrupt change in surrounding conditions. Several cases of such "abrupt transitions" for both physical and living social systems are analyzed from which it can be seen that all…

Physics and Society · Physics 2016-03-23 Peter Richmond , Bertrand M. Roehner

The coronavirus pandemic is impacting our lives at unprecedented speed and scale - including how we eat and work, what we worry about, how much we move, and our ability to earn. Google Trends can be used as a proxy for what people are…

Computers and Society · Computer Science 2020-05-07 Tichakunda Mangono , Peter Smittenaar , Yael Caplan , Vincent S. Huang , Staci Sutermaster , Hannah Kemp , Sema K. Sgaier

Models for epidemic spread typically account for variable risk factors but do not account for the correlation between behavior and risk. Here we extend these models to account for such correlations. We find that a positive correlation…

Physics and Society · Physics 2025-08-14 Yoel Sanders

The research on mortality is an active area of research for any country where the conclusions are driven from the provided data and conditions. The domain knowledge is an essential but not a mandatory skill (though some knowledge is still…

Machine Learning · Computer Science 2020-09-14 Yasir Nadeem , Awais Ahmed

This research explores how total mortality figures relate to age-standardized death rates within the United States, using the complete historical record of national mortality statistics. Through a detailed investigation of both all-cause…

Other Quantitative Biology · Quantitative Biology 2026-01-21 Brandon Dunbar , Paramahansa Pramanik , Haley Kate Robinson

The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance,…

Statistical Finance · Quantitative Finance 2015-12-16 Gabriele Ranco , Ilaria Bordino , Giacomo Bormetti , Guido Caldarelli , Fabrizio Lillo , Michele Treccani

Voice search is becoming a popular mode for interacting with search engines. As a result, research has gone into building better voice transcription engines, interfaces, and search engines that better handle inherent verbosity of queries.…

Information Retrieval · Computer Science 2013-12-17 Apoorv Narang , Srikanta Bedathur

Click-through data has proven to be a valuable resource for improving search-ranking quality. Search engines can easily collect click data, but biases introduced in the data can make it difficult to use the data effectively. In order to…

Machine Learning · Computer Science 2020-02-13 Yingcheng Sun , Richard Kolacinski , Kenneth Loparo

In the task of information retrieval the term relevance is taken to mean formal conformity of a document given by the retrieval system to user's information query. As a rule, the documents found by the retrieval system should be submitted…

Computation and Language · Computer Science 2007-10-02 S. Braichevsky , D. Lande , A. Snarskii

It is commonly believed that the correlations between stock returns increase in high volatility periods. We investigate how much of these correlations can be explained within a simple non-Gaussian one-factor description with time…

Disordered Systems and Neural Networks · Physics 2008-12-02 Pierre Cizeau , Marc Potters , Jean-Philippe Bouchaud

Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is `database,' and the equivalent of `use' is `way to search the…

Computation and Language · Computer Science 2007-06-13 Rudi Cilibrasi , Paul M. B. Vitanyi

This paper describes problems with the current way we compare the diversity of different recommendation lists in offline experiments. We illustrate the problems with a case study. We propose the Sudden Death score as a new and better way of…

Information Retrieval · Computer Science 2019-08-02 Derek Bridge , Mesut Kaya , Pablo Castells

This work falls in the areas of information retrieval and semantic web, and aims to improve the evaluation of web search tools. Indeed, the huge number of information on the web as well as the growth of new inexperienced users creates new…

Information Retrieval · Computer Science 2012-12-12 Abdelkrim Bouramoul , Mohamed-Khireddine Kholladi , Bich-Liên Doan

If popular online platforms systematically expose their users to partisan and unreliable news, they could potentially contribute to societal issues like rising political polarization. This concern is central to the echo chamber and filter…

Social and Information Networks · Computer Science 2022-09-30 Ronald E. Robertson , Jon Green , Damian J. Ruck , Katherine Ognyanova , Christo Wilson , David Lazer

The latest generation of Web search tools is beginning to exploit hypertext link information to improve ranking\cite{Brin98,Kleinberg98} and crawling\cite{Menczer00,Ben-Shaul99etal,Chakrabarti99} algorithms. The hidden assumption behind…

Information Retrieval · Computer Science 2007-05-23 Filippo Menczer