interview

Filter bubbles and fake news

Authors:

Dominic DiFranzo,

Kristine Gloria-GarciaAuthors Info & Claims

XRDS: Crossroads, The ACM Magazine for Students, Volume 23, Issue 3

Pages 32 - 35

https://doi.org/10.1145/3055153

Published: 05 April 2017 Publication History

Abstract

The results of the 2016 Brexit referendum in the U.K. and presidential election in the U.S. surprised pollsters and traditional media alike, and social media is now being blamed in part for creating echo chambers that encouraged the spread of fake news that influenced voters.

References

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Digital Library

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Digital Library

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Cited By

Karakoç Keskin E(2024)Dijital Medya Ortamında Rızanın Algoritmik İnşası: Eleştirel Algoritma Çalışmaları Perspektifinde Bir TartışmaYeni Medya Dergisi10.55609/yenimedya.1424585Online publication date: 6-Jun-2024
https://doi.org/10.55609/yenimedya.1424585
Suresh DMukherjee U(2024)Organizational CommunicationCreating Learning Organizations Through Digital Transformation10.4018/979-8-3693-0556-0.ch010(192-223)Online publication date: 9-Feb-2024
https://doi.org/10.4018/979-8-3693-0556-0.ch010
İncir RYağanoğlu MBozkurt F(2024)A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approachesGümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi10.17714/gumusfenbil.1396652Online publication date: 6-May-2024
https://doi.org/10.17714/gumusfenbil.1396652
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Index Terms

Filter bubbles and fake news

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Published In

cover image XRDS: Crossroads, The ACM Magazine for Students

XRDS: Crossroads, The ACM Magazine for Students Volume 23, Issue 3

Tech for Crises

Spring 2017

54 pages

ISSN:1528-4972

EISSN:1528-4980

DOI:10.1145/3077273

Editors:
Jennifer Jacobs
MIT
,
Okke Schrijvers
Stanford University

Issue’s Table of Contents

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 April 2017

Published in XRDS Volume 23, Issue 3

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Cited By

Karakoç Keskin E(2024)Dijital Medya Ortamında Rızanın Algoritmik İnşası: Eleştirel Algoritma Çalışmaları Perspektifinde Bir TartışmaYeni Medya Dergisi10.55609/yenimedya.1424585Online publication date: 6-Jun-2024
https://doi.org/10.55609/yenimedya.1424585
Suresh DMukherjee U(2024)Organizational CommunicationCreating Learning Organizations Through Digital Transformation10.4018/979-8-3693-0556-0.ch010(192-223)Online publication date: 9-Feb-2024
https://doi.org/10.4018/979-8-3693-0556-0.ch010
İncir RYağanoğlu MBozkurt F(2024)A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approachesGümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi10.17714/gumusfenbil.1396652Online publication date: 6-May-2024
https://doi.org/10.17714/gumusfenbil.1396652
Bhattacharya SPrawesh S(2024)A review of challenges, algorithms and evaluation methods in news recommendationJournal of Information Science10.1177/01655515241244497Online publication date: 28-Apr-2024
https://doi.org/10.1177/01655515241244497
Chen APark CDarkwa AHolliday RBest M(2024)"We're Not in That Circle of Misinformation": Understanding Community-Based Trusted Messengers Through Cultural Code-SwitchingProceedings of the ACM on Human-Computer Interaction10.1145/36374298:CSCW1(1-36)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637429
Bunza R(2024)Duration-Based Investigation of User Content Choices in the Exit of Filter Bubbles2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)10.1109/HORA61326.2024.10550588(1-8)Online publication date: 23-May-2024
https://doi.org/10.1109/HORA61326.2024.10550588
Sakhiya PRathod R(2024)The study on role of media diversity and political interest on echo chamber effectVilakshan - XIMB Journal of Management10.1108/XJM-10-2023-0200Online publication date: 25-Mar-2024
https://doi.org/10.1108/XJM-10-2023-0200
Pathak RSpezzano F(2024)An Empirical Analysis of Intervention Strategies’ Effectiveness for Countering Misinformation Amplification by Recommendation AlgorithmsAdvances in Information Retrieval10.1007/978-3-031-56066-8_23(285-301)Online publication date: 15-Mar-2024
https://doi.org/10.1007/978-3-031-56066-8_23
HAZAR ÇCENGİZ MAVCI Ö(2023)Sosyal Medyada İdeolojik ve Siyasi Kutuplaşma Üzerine Nicel Bir AraştırmaA Quantitative Research on Ideological and Political Polarization on Social MediaMiddle Black Sea Journal of Communication Studies10.56202/mbsjcs.13204688:2(121-144)Online publication date: 29-Nov-2023
https://doi.org/10.56202/mbsjcs.1320468
Puska APereira R(2023)Exploring Digital Misinformation as a Sociotechnical Phenomenon: Insights from a Small-scale StudyProceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems10.1145/3638067.3638098(1-12)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3638067.3638098
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