No Cover Image

Journal article 19494 views 36 downloads

Exposure to social engagement metrics increases vulnerability to misinformation

Mihai Avram, Nicholas Micallef Orcid Logo, Sameer Patil, Filippo Menczer

Harvard Kennedy School Misinformation Review, Volume: 1, Issue: 5

Swansea University Author: Nicholas Micallef Orcid Logo

  • FORMATTED_Avram_July28.pdf

    PDF | Version of Record

    This is an open access article distributed under the terms of the Creative Commons Attribution License

    Download (640.84KB)

Check full text

DOI (Published version): 10.37016/mr-2020-033

Abstract

News feeds in virtually all social media plaƞorms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these signals increases the vulnerability of users to low-credibility information in a simulated social media feed. This finding has impor...

Full description

Published in: Harvard Kennedy School Misinformation Review
ISSN: 2766-1652
Published: Shorenstein Center for Media, Politics, and Public Policy 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa60580
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-07-22T14:01:42Z
last_indexed 2023-01-13T19:20:49Z
id cronfa60580
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-31T14:53:20.7775780</datestamp><bib-version>v2</bib-version><id>60580</id><entry>2022-07-21</entry><title>Exposure to social engagement metrics increases vulnerability to misinformation</title><swanseaauthors><author><sid>1cc4c84582d665b7ee08fb16f5454671</sid><ORCID>0000-0002-2683-8042</ORCID><firstname>Nicholas</firstname><surname>Micallef</surname><name>Nicholas Micallef</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-07-21</date><deptcode>SCS</deptcode><abstract>News feeds in virtually all social media pla&#x19E;orms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these signals increases the vulnerability of users to low-credibility information in a simulated social media feed. This finding has important implications for the design of social media interactions in the post-truth age. To reduce the spread of misinformation, we call for technology pla&#x19E;orms to rethink the display of social engagement metrics. Further research is needed to investigate how engagement metrics can be presented without amplifying the spread of low-credibility information.</abstract><type>Journal Article</type><journal>Harvard Kennedy School Misinformation Review</journal><volume>1</volume><journalNumber>5</journalNumber><paginationStart/><paginationEnd/><publisher>Shorenstein Center for Media, Politics, and Public Policy</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2766-1652</issnElectronic><keywords/><publishedDay>29</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-07-29</publishedDate><doi>10.37016/mr-2020-033</doi><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This research is supported in part by the Democracy Fund, Craig Newmark Philanthropies, and the Knight Foundation.</funders><projectreference/><lastEdited>2022-10-31T14:53:20.7775780</lastEdited><Created>2022-07-21T15:46:10.8731117</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Mihai</firstname><surname>Avram</surname><order>1</order></author><author><firstname>Nicholas</firstname><surname>Micallef</surname><orcid>0000-0002-2683-8042</orcid><order>2</order></author><author><firstname>Sameer</firstname><surname>Patil</surname><order>3</order></author><author><firstname>Filippo</firstname><surname>Menczer</surname><order>4</order></author></authors><documents><document><filename>60580__24689__5745e4d8d34f4ad5a2ea81b906892586.pdf</filename><originalFilename>FORMATTED_Avram_July28.pdf</originalFilename><uploaded>2022-07-21T15:49:11.6341786</uploaded><type>Output</type><contentLength>656223</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This is an open access article distributed under the terms of the Creative Commons Attribution License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-31T14:53:20.7775780 v2 60580 2022-07-21 Exposure to social engagement metrics increases vulnerability to misinformation 1cc4c84582d665b7ee08fb16f5454671 0000-0002-2683-8042 Nicholas Micallef Nicholas Micallef true false 2022-07-21 SCS News feeds in virtually all social media plaƞorms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these signals increases the vulnerability of users to low-credibility information in a simulated social media feed. This finding has important implications for the design of social media interactions in the post-truth age. To reduce the spread of misinformation, we call for technology plaƞorms to rethink the display of social engagement metrics. Further research is needed to investigate how engagement metrics can be presented without amplifying the spread of low-credibility information. Journal Article Harvard Kennedy School Misinformation Review 1 5 Shorenstein Center for Media, Politics, and Public Policy 2766-1652 29 7 2020 2020-07-29 10.37016/mr-2020-033 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University This research is supported in part by the Democracy Fund, Craig Newmark Philanthropies, and the Knight Foundation. 2022-10-31T14:53:20.7775780 2022-07-21T15:46:10.8731117 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Mihai Avram 1 Nicholas Micallef 0000-0002-2683-8042 2 Sameer Patil 3 Filippo Menczer 4 60580__24689__5745e4d8d34f4ad5a2ea81b906892586.pdf FORMATTED_Avram_July28.pdf 2022-07-21T15:49:11.6341786 Output 656223 application/pdf Version of Record true This is an open access article distributed under the terms of the Creative Commons Attribution License true eng https://creativecommons.org/licenses/by/4.0/
title Exposure to social engagement metrics increases vulnerability to misinformation
spellingShingle Exposure to social engagement metrics increases vulnerability to misinformation
Nicholas Micallef
title_short Exposure to social engagement metrics increases vulnerability to misinformation
title_full Exposure to social engagement metrics increases vulnerability to misinformation
title_fullStr Exposure to social engagement metrics increases vulnerability to misinformation
title_full_unstemmed Exposure to social engagement metrics increases vulnerability to misinformation
title_sort Exposure to social engagement metrics increases vulnerability to misinformation
author_id_str_mv 1cc4c84582d665b7ee08fb16f5454671
author_id_fullname_str_mv 1cc4c84582d665b7ee08fb16f5454671_***_Nicholas Micallef
author Nicholas Micallef
author2 Mihai Avram
Nicholas Micallef
Sameer Patil
Filippo Menczer
format Journal article
container_title Harvard Kennedy School Misinformation Review
container_volume 1
container_issue 5
publishDate 2020
institution Swansea University
issn 2766-1652
doi_str_mv 10.37016/mr-2020-033
publisher Shorenstein Center for Media, Politics, and Public Policy
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description News feeds in virtually all social media plaƞorms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these signals increases the vulnerability of users to low-credibility information in a simulated social media feed. This finding has important implications for the design of social media interactions in the post-truth age. To reduce the spread of misinformation, we call for technology plaƞorms to rethink the display of social engagement metrics. Further research is needed to investigate how engagement metrics can be presented without amplifying the spread of low-credibility information.
published_date 2020-07-29T04:18:48Z
_version_ 1763754250100277248
score 11.01628

Similar Items