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)
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)
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
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
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
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)
Article
Computer Science, Artificial Intelligence
Azka Kishwar, Adeel Zafar
Summary: Fake news has a significant impact on readers' minds, and identifying or differentiating it is challenging. This research develops a comprehensive dataset for detecting fake news in Pakistani news using fact-checked news APIs. It evaluates the dataset using state-of-the-art artificial intelligence techniques and identifies LSTM with GloVe embeddings as the best-performing model. The research also analyzes misclassified samples by comparing them with human judgements.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
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
Communication
Michael Chan
Summary: This study, based on an online survey of citizens in Hong Kong, found that higher news literacy was associated with better ability to discern real and fake news, engagement in news authentication behaviors, and searching online to verify fake news. The results highlight the normative benefits of high dispositional news literacy in mitigating the effects of online disinformation.
NEW MEDIA & SOCIETY
(2022)
Article
Education & Educational Research
Shaoxiong Brian Xu, Guangwei Hu
Summary: This article examines the stigmatizing nature of retraction in research and introduces the concept of retraction stigma. It defines retraction stigma, discusses its dimensions and functional justifications, and explores how retraction stigma is communicated through retraction notices.
Article
Multidisciplinary Sciences
Kevin Aslett, Andrew M. Guess, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker
Summary: As the primary arena for viral misinformation shifts toward transnational threats, researchers are searching for scalable countermeasures compatible with transparency and free expression. A field experiment showed that embedding source credibility labels in social feeds and search results had no significant impact on the attitudes and behaviors of general users, but it slightly improved news diet quality for heavy consumers of misinformation.
Article
Psychology, Multidisciplinary
Shin Ah Kim, Sang Hee Kim, Stephan Hamann
Summary: The study found that entertainment style news introductions can reduce the severity of viewers' moral evaluation of antisocial news content, requiring more cognitive control resources during news processing. Additionally, entertainment style can diminish moral saliency and reduce functional integration of relevant social information.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Business
Burcu Ozgun, Tom Broekel
Summary: This study explores the variations in frequency and sentiments of news related to innovation and new technologies at both country and subnational levels. The findings suggest a strong link between these variations and regional socio-economic structures. Urban areas and regions with low unemployment tend to feature more news on innovation and new technologies, with the sentiments of these news articles being negatively associated with the unemployment rate and more prevalent in national newspapers compared to regional ones.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Psychology, Multidisciplinary
Shaoxiong (Brian) Xu, Guangwei Hu
Summary: This study examined the communication strategies used in retraction notices to construct and manage retraction stigma, as well as the differences between notices written by journal authorities and authors of retracted publications. The analysis identified three types of stigma construction strategy and four types of stigma management strategy. The findings showed that retraction notices can both stigmatize and destigmatize, and that authorship-based differences exist in the use of these strategies.
CURRENT PSYCHOLOGY
(2022)
Article
Communication
Sujin Choi
Summary: This study found that users evaluate news quality in a manner comparable to editors, even after controlling for users' news preferences and genres. Ideological strength is an important factor in assessing news quality and can serve as an alternative cognitive schema for individuals lacking sufficient knowledge.
NEW MEDIA & SOCIETY
(2021)
