Tootfinder

This https://arxiv.org/abs/2402.15013 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
Recommendation algorithms play a pivotal role in shaping our media choices, which makes it crucial to comprehend their long-term impact on user behavior. These algorithms are often linked to two critical outcomes: homogenization, wherein users consume similar content despite disparate underlying preferences, and the filter bubble effect, wherein individuals with differing preferences only consume content aligned with their preferences (without much overlap with other users). Prior research assu…

The US has splintered into 12 news bubbles based on ideology, wealth, jobs, age, and location, making gauging public opinion and finding common agreement hard (Axios)
https://www.axios.com/2024/03/25/news-media-filter-bubble-different-realities…

Shards of glass: Inside media's 12 splintering realities
Traditional media, at least as a center of dominant power, is dead.

Breaking Political Filter Bubbles via Social Comparison
Nouran Soliman, Motahhare Eslami, Karrie Karahalios
https://arxiv.org/abs/2403.07150 https://

Breaking Political Filter Bubbles via Social Comparison
Online social platforms allow users to filter out content they do not like. According to selective exposure theory, people tend to view content they agree with more to get more self-assurance. This causes people to live in ideological filter bubbles. We report on a user study that encourages users to break the political filter bubble of their Twitter feed by reading more diverse viewpoints through social comparison. The user study is conducted using political-bias analyzing and Twitter-mirrorin…

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon
https://arxiv.org/abs/2402.15013

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
Recommendation algorithms play a pivotal role in shaping our media choices, which makes it crucial to comprehend their long-term impact on user behavior. These algorithms are often linked to two critical outcomes: homogenization, wherein users consume similar content despite disparate underlying preferences, and the filter bubble effect, wherein individuals with differing preferences only consume content aligned with their preferences (without much overlap with other users). Prior research assu…

Bubble reachers and uncivil discourse in polarized online public sphere
Jordan K Kobellarz, Milos Brocic, Daniel Silver, Thiago H Silva
https://arxiv.org/abs/2404.13219

Bubble reachers and uncivil discourse in polarized online public sphere
Early optimism saw possibilities for social media to renew democratic discourse, marked by hopes for individuals from diverse backgrounds to find opportunities to learn from and interact with others different from themselves. This optimism quickly waned as social media seemed to breed ideological homophily marked by "filter bubble" or "echo chambers." A typical response to the sense of fragmentation has been to encourage exposure to more cross-partisan sources of information. But do outlets tha…

This https://arxiv.org/abs/2401.05266 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Quantum Modeling of Filter Bubbles Based on Kubo-Matsubara Form Green's Functions Considering Remote and Proximity Interactions:Ultraviolet Divergence to Indefinite Ghosting, Consideration of Cut Surfaces
This research aims to model tracks the evolution of opinions among agents and their collective dynamics, and mathematically represents the resonance of opinions and echo chamber effects within the filter bubble by including non-physical factors such as misinformation and confirmation bias, known as FP ghosting phenomena.The indeterminate ghost phenomenon, a social science concept similar to the uncertainty principle, depicts the variability of social opinion by incorporating information uncerta…

This https://arxiv.org/abs/2310.19643 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Polemical Case Study of Opinion Dynamics:Patterns of Filter Bubbles in Non-Consensus, Rewire Phenomena
In this paper, we will review some of the issues that have been raised by opinion dynamics theory to date. In particular, we conducted a hypothesis-based simulation using a socio-physical approach regarding the filter bubble phenomenon that tends to occur under special conditions such as (1) Distance, (2) Time, and (3) Existence of strong opinion clusters in the barriers to consensus building (4) Place where opinions are not influenced In particular, this paper discusses the hypothesis and simu…

Discussion of Loop Expansion and Introduction of Series Cutting Functions to Local Potential Approximation: Complexity Analysis Using Green's Functions, Cutting Of Nth-Order Social Interactions For Progressive Safety
Yasuko Kawahata
https://arxiv.org/abs/2403.08774

Discussion of Loop Expansion and Introduction of Series Cutting Functions to Local Potential Approximation: Complexity Analysis Using Green's Functions, Cutting Of Nth-Order Social Interactions For Progressive Safety
In this study, we focus on the aforementioned paper, "Examination Kubo-Matsubara Green's Function Of The Edwards-Anderson Model: Extreme Value Information Flow Of Nth-Order Interpolated Extrapolation Of Zero Phenomena Using The Replica Method (2024)". This paper also applies theoretical physics methods to better understand the filter bubble phenomenon, focusing in particular on loop expansions and truncation functions. Using the loop expansion method, the complexity of social interactions durin…