Content on Facebook : sensationalism and accuracy verification challenges
This study explores user perceptions of sensationalism and the associated accuracy verification challenges on Facebook. With the increasing prevalence and rapid transmission of sensationalism on social media, it is important to understand how users perceive such news stories, and what can be done to...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/75948 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-75948 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-759482019-12-10T13:16:45Z Content on Facebook : sensationalism and accuracy verification challenges Yu, Valerie Jingwen Sin Sei Ching, Joanna Wee Kim Wee School of Communication and Information DRNTU::Library and information science::Knowledge management This study explores user perceptions of sensationalism and the associated accuracy verification challenges on Facebook. With the increasing prevalence and rapid transmission of sensationalism on social media, it is important to understand how users perceive such news stories, and what can be done to help improve their news browsing experience on social media channels. An analysis of Facebook user perceptions towards sensationalism revealed that individuals did not necessarily disagree with the use of all forms of clickbait, however, all types of fake news were deemed unacceptable. Favourable preconceived source credibility also appeared to have an effect on an individual's ability to positively identify clickbait from the respective source. It was also apparent that there are gaps in individual news accuracy verification activities that could be improved with the help of automated tools. Master of Science (Information Studies) 2018-08-16T01:15:00Z 2018-08-16T01:15:00Z 2018 Thesis http://hdl.handle.net/10356/75948 en Nanyang Technological University 74 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
country |
Singapore |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Library and information science::Knowledge management |
spellingShingle |
DRNTU::Library and information science::Knowledge management Yu, Valerie Jingwen Content on Facebook : sensationalism and accuracy verification challenges |
description |
This study explores user perceptions of sensationalism and the associated accuracy verification challenges on Facebook. With the increasing prevalence and rapid transmission of sensationalism on social media, it is important to understand how users perceive such news stories, and what can be done to help improve their news browsing experience on social media channels. An analysis of Facebook user perceptions towards sensationalism revealed that individuals did not necessarily disagree with the use of all forms of clickbait, however, all types of fake news were deemed unacceptable. Favourable preconceived source credibility also appeared to have an effect on an individual's ability to positively identify clickbait from the respective source. It was also apparent that there are gaps in individual news accuracy verification activities that could be improved with the help of automated tools. |
author2 |
Sin Sei Ching, Joanna |
author_facet |
Sin Sei Ching, Joanna Yu, Valerie Jingwen |
format |
Theses and Dissertations |
author |
Yu, Valerie Jingwen |
author_sort |
Yu, Valerie Jingwen |
title |
Content on Facebook : sensationalism and accuracy verification challenges |
title_short |
Content on Facebook : sensationalism and accuracy verification challenges |
title_full |
Content on Facebook : sensationalism and accuracy verification challenges |
title_fullStr |
Content on Facebook : sensationalism and accuracy verification challenges |
title_full_unstemmed |
Content on Facebook : sensationalism and accuracy verification challenges |
title_sort |
content on facebook : sensationalism and accuracy verification challenges |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/75948 |
_version_ |
1681041551896084480 |