Results 21 to 30 of about 1,367,422 (277)
SSLE: A framework for evaluating the “Filter Bubble” effect on the news aggregator and recommenders
Recommendation algorithms are data filtering tools that make use of algorithms and data to recommend the most relevant items to a particular user. The algorithm-driven recommenders become indispensable and supersede search engines as the most important ...
Han Han +5 more
semanticscholar +1 more source
Internet service providers as subjects of prevention of sexual crime on the Internet
The subject of the article is the provisions of the legislation of the Russian Federation aimed at ensuring the sexual inviolability of a minor.The object of the research is the relations connected with ensuring the sexual inviolability of minors.The ...
A. K. Zharova
doaj +1 more source
A new hierarchical ranking aggregation method [PDF]
The ranking fusion (or aggregation), which is an important branch in multiple attribute decision making, combines multiple rankings to a single one for decision making. Many traditional ranking fusion methods are implemented through heuristic ways to reduce the computational cost. They all have their own pros and cons. In this paper, a new hierarchical
Ding, Jiankun +3 more
openaire +2 more sources
Press publishers have been in dire straits following the emergence of digital news aggregators. While press publishers heavily rely on digital platforms for wider reach and audience engagement, digital platforms can easily operate without exclusive ...
Baskaran Balasingham +2 more
semanticscholar +1 more source
La reforma del artículo 32 del TRLPI: una reforma explosiva, injustificada y doblemente inútil
La reforma del art. 32 del Texto Refundido de la Ley de Propiedad Intelectual (TRLPI) introducida por la Ley 21/2014 afecta a dos temas bien dispares, a través de límites de diferente calado y que poco tienen que ver con el límite de cita al que ...
Raquel Xalabarder
doaj +1 more source
Rank aggregation: New bounds for MCx
The rank aggregation problem has received significant recent attention within the computer science community. Its applications today range far beyond the original aim of building metasearch engines to problems in machine learning, recommendation systems and more.
Daniel Freund, David P. Williamson
openaire +4 more sources
Learning from Shared News: When Abundant Information Leads to Belief Polarization
We study learning via shared news. Each period agents receive the same quantity and quality of first-hand information and can share it with friends.
Renee Bowen, Danil Dmitriev, S. Galperti
semanticscholar +1 more source
Online Troll Reviewer Detection Using Deep Learning Techniques
The concentration of this paper is on detecting trolls among reviewers and users in online discussions and link distribution on social news aggregators such as Reddit. Trolls, a subset of suspicious reviewers, have been the focus of our attention.
Mosleh Hmoud Al-Adhaileh +2 more
doaj +1 more source
This study aims to identify the determinants and consequences of news authorship verification in the context of news aggregation sites. Checking news authorship becomes important where countless news articles produced by numerous authors are distributed
Sujin Choi, Jihoon Lim
doaj +2 more sources
The study focuses upon “city public groups” (“gorodskie pabliki,” local newsgroups on social networking sites)—the new entrants in the local media space of the Russian province that have recently become important actors of regional public communication ...
Olga Dovbysh
doaj +1 more source

