Results 61 to 70 of about 2,863,518 (175)

Partisan temporal selective news avoidance: Evidence from online trace data

American Journal of Political Science, Volume 69, Issue 4, Page 1541-1558, October 2025.
Abstract We assess the phenomenon of partisan temporal selective avoidance, or individuals dynamically altering their news consumption when news is negative toward their in‐ and out‐party. Using nine months of online behavioral data (27,648,770 visits) from 2,462 Americans paired with machine learning classifications, we examine whether changing daily ...
Michael Heseltine, Hennes Barnehl, Magdalena Wojcieszak   +2 more
wiley   +1 more source

Spam [PDF]

, 2005
With the advent of the electronic mail system in the 1970s, a new opportunity for direct marketing using unsolicited electronic mail became apparent.
Levene, M., Levene, Mark, de Freitas, S., de Freitas, Sara   +3 more
core  

Machine Learning-Based Opinion Spam Detection: A Systematic Literature Review

IEEE Access
The substantial upsurge in Web 2.0 deployment allows a large number of consumers to share their opinions with potential consumers and producers through product and service review platforms. Customer decision-making relies on an important aspect of review:
Atika Qazi, Najmul Hasan, Rui Mao, Mohamed Elhag Mohamed Abo, Samrat Kumar Dey, Glenn Hardaker   +5 more
doaj   +1 more source

A Fuzzy Decision‐Making Support Model for Traffic Safety Analysis

Expert Systems, Volume 42, Issue 9, September 2025.
ABSTRACT Our study delves into the crucial issue of road safety by examining the intricate dynamics of driver behaviour, often resulting in tragic accidents. The importance of comprehending these behaviours is acknowledged, leading us to propose an innovative decision‐making support model that integrates the analytic hierarchy process (AHP) with the ...
Sarbast Moslem, Danish Farooq, Gülay Demir, Rana Faisal Tufail, Páraic Carroll, Domokos Esztergár‐Kiss, Francesco Pilla   +6 more
wiley   +1 more source

Decoding Cropland Mask Effects on the Explanatory Power of Remote Sensing and Reanalyzed Climate Data on Yield Anomalies in Africa

Earth's Future, Volume 13, Issue 6, June 2025.
Abstract Ensuring crop yield stability is crucial for food security in Africa, where agriculture faces increasing food demand amid considerable vulnerabilities. Remote sensing and reanalyzed data products offer the potential for capturing crop growth dynamics and understanding their drivers.
Wanxue Zhu, Ting Yang, Jundong Wang, Ehsan Eyshi Rezaei   +3 more
wiley   +1 more source

A Survey on Internet of Medical Things (IoMT): Enabling Technologies, Security and Explainability Issues, Challenges, and Future Directions

Expert Systems, Volume 42, Issue 5, May 2025.
ABSTRACT Internet of Medical Things (IoMT) paradigm refers to the process of collection, transmission and analysis of healthcare data using communication and information systems over the internet. IoMT consist of medical devices that can link to the internet or other networks, including wearables, sensors, monitoring tools and other medical appliances.
Mert Melih Ozcelik, Ibrahim Kok, Suat Ozdemir   +2 more
wiley   +1 more source

E‐government and citizen‐state relations: Evidence from a randomized information campaign with the Botswana Unified Revenue Service

Governance, Volume 38, Issue 2, April 2025.
Abstract E‐government services are often heralded as a silver bullet for governments willing to engage more meaningfully with citizens. Evidence on the effectiveness of these measures for improving citizen‐state relations is scarce, however. Most studies examining e‐government focus on efficiency considerations; few consider potential effects on ...
Sebastian Ziaja, Markus Geray, David Sebudubudu, Armin von Schiller   +3 more
wiley   +1 more source

Spam Spyder (Spam Detection using MI & AI) [PDF]

Spam emails and messages are a major problem for both users and organizations in the digital era. With the help of machine learning techniques and the Spyder Integrated Development Environment (IDE), this project seeks to create a reliable spam detection
Dnyaneshwari, Chafle, Prof. Rina, Shirpurkar, Anuja, Kathwate, Sharda, Moharle, Mansi, Singh   +4 more
core  

Resource-Efficient Hybrid Machine Learning Model for IoT SMS Spam Detection

IEEE Access
The increasing prevalence and complexity of spam have made detection a critical challenge, particularly in resource-constrained Internet of Things (IoT) environments affecting millions of users worldwide.
Abit Jurkuch, Imad Mahgoub, Ismail Butun
doaj   +1 more source

A survey of Emerging Techniques in Detecting SMS Spam

Transactions on Machine Learning and Artificial Intelligence, 2019
In the past years, spammers have focused their attention on sending spam through short messages services (SMS) to mobile users. They have had some success because of the lack of appropriate tools to deal with this issue. This paper is dedicated to review and study the relative strengths of various emerging technologies to detect spam messages sent to ...
Sahar Alqahtani, Daniyal Alghazzawi
openaire   +2 more sources