Results 41 to 50 of about 130,053 (265)
Characterizing Efficient Referrals in Social Networks
, 2018 Users of social networks often focus on specific areas of that network, leading to the well-known "filter bubble" effect. Connecting people to a new area of the network in a way that will cause them to become active in that area could help alleviate this
Apel, Reut +2 more
core +1 more source
Analysis of the characteristic lengths in the bubble and slug flow regimes generated in a capillary T-junction [PDF]
, 2016 We present an analysis of the geometry of the continuous and disperse phases in the bubble and slug flow regimes in air–water mixtures generated in a capillary T-junction of 1 mm internal diameter.
Arias Calderón, Santiago +1 more
core +2 more sources
Filter Bubble: How to burst your filter bubbl
International Journal Of Engineering And Computer Science, 2016 The number of peoples who rely on internet for information seeking is doubling in every seconds.as the information produced by the internet is huge it have been a problem to provide the users relevant information.so the developers developed algorithms for identifying users nature from their clickstream data and there by identifying what type of ...
openaire +1 more source
The YouTube Algorithm and the Alt-Right Filter Bubble
Open Information Science, 2020 The YouTube algorithm is a combination of programmed directives from engineers along with learned behaviors that have evolved through the opaque process of machine learning which makes the algorithm’s directives and programming hard to understand ...
Bryant Lauren Valentino
doaj +1 more source
Filter Bubble vs. Preference Bubble [PDF]
, 2016 Tämän opinnäytetyön aiheena oli internetin personointi ja siitä aiheutuva filter bubble –ilmiö. Tarkoituksena oli tutkia kuluttajien suhtautumista ilmiöön, jota Suomessa ei vielä tunnisteta laajasti.
Lindström, Hanna-Stiina +1 more
core
Filter bubble effect in the multistate voter model
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022 Social media influence online activity by recommending to users content strongly correlated with what they have preferred in the past. In this way, they constrain users within filter bubbles strongly limiting their exposure to new or alternative content.
Giulio Iannelli +2 more
openaire +5 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Constraining Quasar and IGM Properties Through Bubble Detection in Redshifted 21-cm Maps
, 2012 The infrared detection of a z>7 quasar has opened up a new window to directly probe the IGM during the epoch of reionization. In this paper we theoretically consider the possibility of detecting the ionized bubble around a z=8 quasar using targeted ...
Ali +41 more
core +1 more source
Gas physical conditions and kinematics of the giant outflow Ou4 [PDF]
, 2014 Ou4 is a recently discovered bipolar outflow with a projected size of more than one degree in the plane of the sky. It is apparently centred on the young stellar cluster -whose most massive representative is the triple system HR8119- inside the HII ...
Acker, Agnès +4 more
core +3 more sources
Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles
ACM Transactions on Recommender Systems, 2023 In this article, we present results of an auditing study performed over YouTube aimed at investigating how fast a user can get into a misinformation filter bubble, but also what it takes to “burst the bubble,” i.e., revert the bubble enclosure. We employ a sock puppet audit methodology, in which pre-programmed agents (acting as YouTube users) delve ...
Ivan Srba +10 more
openaire +2 more sources