Article
Business
Kyu Tae Kwak, Seung Yeop Lee, Sang Woo Lee
Summary: This study focused on Korean news aggregators Naver News and Kakao News to analyze the impact of personalized algorithms on news characteristics and the user demographic, political orientation, and news consumption habits. The results showed that personalized algorithms led to differences in news topics, sources, and reader feedback, with conservative and low-news-consumption users receiving differentiated news recommendations.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Review
Materials Science, Multidisciplinary
Henning Doescher, Thomas Schmaltz, Christoph Neef, Axel Thielmann, Thomas Reiss
Summary: The remarkable properties of graphene and related materials offer substantial benefits for various technologies, but their industrial utilization depends on competitive and adequate supply. The GRM supply industry is currently struggling to engage prospective clients in active product development.
Article
Education & Educational Research
Georgios Koronis, Hernan Casakin, Arlindo Silva
Summary: The study found that design briefs with specific numerical requirements can help students in scoring well in appropriateness, while those including physical stimuli may result in higher usability scores. Although the presence of a visual prompt may lead students to believe they are enhancing the novelty of their designs, their final scores may reflect otherwise.
THINKING SKILLS AND CREATIVITY
(2021)
Article
Psychology, Multidisciplinary
Xiao Zhang, Shamim Akhter, Abdelmohsen A. Nassani, Mohamed Haffar
Summary: In this study, the impacts of news relevance, perceived quality, and news overloading on people's news curation preferences were investigated. The study also examined the mediating role of news avoidance between these factors and news curation. The findings indicated that news relevance had a negative impact, while news overload had a positive and significant impact on news curation. However, news avoidance only mediated the relationship between news quality and news curation. The study contributes to the literature by highlighting the negative impact of news relevance and the importance of quality in news curation.
FRONTIERS IN PSYCHOLOGY
(2022)
Review
Materials Science, Multidisciplinary
Henning Doescher, Thomas Reiss
Summary: The article outlines the potential impact of graphene and related materials on future industries, focusing on the technology and innovation roadmap process within the Graphene Flagship project. It highlights the 3I method designed to explore the influence of GRMs on future value chains, as well as the concept of innovation interfaces and spheres.
Article
Multidisciplinary Sciences
Benjamin A. Lyons, Jacob M. Montgomery, Andrew M. Guess, Brendan Nyhan, Jason Reifler
Summary: Overconfidence can lead to biased judgment of true and false news, affecting behavior and beliefs; individuals who are overconfident are more likely to visit untrustworthy websites, fail to distinguish between true and false claims, and are more willing to share false content.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Engineering, Electrical & Electronic
[Anonymous]
Summary: This article presents a list of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Business, Finance
Yongan Xu, Chao Liang, Yan Li, Toan L. D. Huynh
Summary: This paper constructs a monthly news-based manager sentiment indicator based on the tone of managers' news reports, showing strong predictability for stock returns, especially in high sentiment periods. For investors, using this forecasting information to optimize stock portfolios can generate significant economic value.
FINANCE RESEARCH LETTERS
(2022)
Article
Management
Alexandre de Corniere, Miklos Sarvary
Summary: The growing influence of internet platforms acting as content aggregators poses a significant challenge to the media industry. A model is developed to analyze the impact of third-party content bundling by social platforms that have a monopoly on showing user-generated content. The study finds that unilateral content bundling harms publishers and increases quality dispersion, but when an agreement is reached between the platform and publisher, publishers' profits increase and quality dispersion decreases. Additionally, the platform's ability to personalize the mix of content shown to users encourages publishers to invest more in content quality.
MANAGEMENT SCIENCE
(2023)
Review
Humanities, Multidisciplinary
Diana Arnautu, Christian Dagenais
Summary: Policy briefs are generally considered useful, credible, and easy to understand as a knowledge transfer strategy. The type of audience and timing of introducing a policy brief are crucial factors to consider. Decision-makers also take into account the credibility of the author when assessing the impact of a policy brief. Further research is needed to assess the various forms of uses of policy briefs by decision-makers.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Engineering, Civil
Wenpeng Lu, Rongyao Wang, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang
Summary: Intelligent human-device interfaces are crucial in fully automated vehicles, improving the driving experience. Existing news recommender systems often neglect to learn informative aspect-level features, resulting in limited recommendation performance. To address this issue, we propose a novel Aspect-driven News Recommender System that learns fine-grained aspect-level representations of user preferences and news characteristics.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Zhao Yumeng, Yun Jing, Gao Shuo, Liu Limin
Summary: The study introduces a novel approach to generate news image captions with named entities by analyzing both direct and indirect relationships among named entities in news texts. Experimental results demonstrate the effectiveness of the method in detecting the consistency between news images and texts.
Article
Business, Finance
David Hirshleifer, Jinfei Sheng
Summary: This study examines the impact of macro-news on the stock market's ability to incorporate firm-level earnings information and finds that on macro-news days, announcement returns are more sensitive to earnings news and the post-earnings announcement drift effect is weaker, contrary to the existing theory of attention substitution.
JOURNAL OF FINANCIAL ECONOMICS
(2022)
Article
Computer Science, Theory & Methods
Ali Al-Laith, Muhammad Shahbaz
Summary: The study presents an Arabic news corpus and sentiment tracking system to monitor sentiments towards news entities in the Arab world, providing important information for decision-making. Using sentiment classification and Named Entity Recognition techniques, the corpus is prepared for tracking tasks. Results show that semi-automatically annotated dataset outperforms manually annotated dataset in sentiment classification.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Information Systems
Xiaochang Fang, Hongchen Wu, Jing Jing, Yihong Meng, Bing Yu, Hongzhu Yu, Huaxiang Zhang
Summary: This study proposes a novel fake news detection framework, utilizing news semantic environment perception (NSEP) to identify fake news content. The framework consists of steps such as dividing the semantic environment into macro and micro levels, applying graph convolutional networks, and utilizing multihead attention. Empirical experiments show that the NSEP framework achieves high accuracy in detecting Chinese fake news, outperforming other baseline methods and highlighting the importance of both micro and macro semantic environments in early detection of fake news.
INFORMATION PROCESSING & MANAGEMENT
(2024)