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There is an overwhelming number of news articles published every day around the globe. Following the evolution of a news-story is a difficult task given that there is no such mechanism available to track back in time to study the diffusion…

Information Retrieval · Computer Science 2017-12-22 Roberto Camacho Barranco , Arnold P. Boedihardjo , M. Shahriar Hossain

With exponential growth in the human population, it is vital to conserve natural resources without compromising on producing enough food to feed everyone. Doing so can improve people's livelihoods, health, and ecosystems for the present and…

Machine Learning · Computer Science 2022-09-16 Fiona Victoria Stanley Jothiraj

The social networks of people experiencing homelessness are an understudied but vital aspect of their lives, offering access to information, support, and safety. In 2023, the U.S. Department of Housing and Urban Development reported 653,100…

Social and Information Networks · Computer Science 2026-03-09 Zack Almquist , Ihsan Kahveci , Owen Kajfasz , Janelle Rothfolk , Amy Hagopian

Growth in the global human population this century will have momentous consequences for societies and the environment. Population growth has come with higher aggregate human welfare, but also climate change and biodiversity loss. Based on…

General Economics · Economics 2021-09-30 Barry W. Brook , Jessie C. Buettel , Sanghyun Hong

In 2023, 58.0% of the African population experienced moderate to severe food insecurity, with 21.6% facing severe food insecurity. Land-use and land-cover maps provide crucial insights for addressing food insecurity by improving…

While great emphasis has been placed on the role of social interactions as driver of innovation growth, very few empirical studies have explicitly investigated the impact of social network structures on the innovation performance of cities.…

Physics and Society · Physics 2019-11-04 Moreno Bonaventura , Luca Maria Aiello , Daniele Quercia , Vito Latora

Slanted news coverage strongly affects public opinion. This is especially true for coverage on politics and related issues, where studies have shown that bias in the news may influence elections and other collective decisions. Due to its…

Computers and Society · Computer Science 2021-10-19 Felix Hamborg , Timo Spinde , Kim Heinser , Karsten Donnay , Bela Gipp

We examine probabilistic forecasts for battleground states in the 2020 US presidential election, using daily data from two sources over seven months: a model published by The Economist, and prices from the PredictIt exchange. We find…

General Economics · Economics 2021-05-26 Rajiv Sethi , Julie Seager , Emily Cai , Daniel M. Benjamin , Fred Morstatter

News editors need to find the photos that best illustrate a news piece and fulfill news-media quality standards, while being pressed to also find the most recent photos of live events. Recently, it became common to use social-media content…

Information Retrieval · Computer Science 2018-10-10 Gonçalo Marcelino , Ricardo Pinto , João Magalhães

Firm disclosures about future prospects are crucial for corporate valuation and compliance with global regulations, such as the EU's MAR and the US's SEC Rule 10b-5 and RegFD. To comply with disclosure obligations, issuers must identify…

Statistical Finance · Quantitative Finance 2023-11-21 Moritz Scherrmann , Ralf Elsas

COVID-19 has affected the world economy and the daily life routine of almost everyone. It has been a hot topic on social media platforms such as Twitter, Facebook, etc. These social media platforms enable users to share information with…

Social and Information Networks · Computer Science 2021-06-15 Pervaiz Iqbal Khan , Imran Razzak , Andreas Dengel , Sheraz Ahmed

Prior literature has argued that flood insurance maps may not capture the extent of flood risk. This paper performs a granular assessment of coastal flood risk in the mortgage market by using physical simulations of hurricane storm surge…

General Economics · Economics 2020-06-11 Amine Ouazad

In retailer management, the Newsvendor problem has widely attracted attention as one of basic inventory models. In the traditional approach to solving this problem, it relies on the probability distribution of the demand. In theory, if the…

Machine Learning · Statistics 2017-06-12 Yanfei Zhang , Junbin Gao

As events progress, news articles often update with new information: if we are not cautious, we risk propagating outdated facts. In this work, we hypothesize that linguistic features indicate factual fluidity, and that we can predict which…

Computation and Language · Computer Science 2024-12-02 Alexander Spangher , Kung-Hsiang Huang , Hyundong Cho , Jonathan May

This study leverages narrative from global newspapers to construct theme-based knowledge graphs about world events, demonstrating that features extracted from such graphs improve forecasts of industrial production in three large economies…

Physics and Society · Physics 2021-04-22 Sonja Tilly , Giacomo Livan

The deluge of digital information in our daily life -- from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising -- offers unprecedented opportunities to explore and…

Social and Information Networks · Computer Science 2021-03-25 Fan Zhou , Xovee Xu , Goce Trajcevski , Kunpeng Zhang

We stress-test the career predictability model proposed by Acuna et al. [Nature 489, 201-202 2012] by applying their model to a longitudinal career data set of 100 Assistant professors in physics, two from each of the top 50 physics…

Physics and Society · Physics 2013-04-03 Orion Penner , Raj K. Pan , Alexander M. Petersen , Santo Fortunato

We present 3DLNews, a novel dataset with local news articles from the United States spanning the period from 1996 to 2024. It contains almost 1 million URLs (with HTML text) from over 14,000 local newspapers, TV, and radio stations across…

Information Retrieval · Computer Science 2024-08-12 Gangani Ariyarathne , Alexander C. Nwala

We consider information dissemination over a network of gossiping agents (nodes). In this model, a source keeps the most up-to-date information about a time-varying binary state of the world, and $n$ receiver nodes want to follow the…

Information Theory · Computer Science 2024-10-28 Melih Bastopcu , S. Rasoul Etesami , Tamer Başar

Forecasting is a task that is difficult to evaluate: the ground truth can only be known in the future. Recent work showing LLM forecasters rapidly approaching human-level performance begs the question: how can we benchmark and evaluate…

Machine Learning · Computer Science 2025-01-13 Daniel Paleka , Abhimanyu Pallavi Sudhir , Alejandro Alvarez , Vineeth Bhat , Adam Shen , Evan Wang , Florian Tramèr
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