Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication
This study aims to extend the infodemiology framework by postulating that effective use of digital data sources for cancer communication should consider four components: (a) content: key topics that people are concerned with, (b) congruence: how interest in cancer topics differ between public posts...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/155922 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-155922 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1559222023-03-05T15:57:51Z Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication Lee, Edmund Wei Jian Bekalu, Mesfin A. McCloud, Rachel F. Viswanath, K. Wee Kim Wee School of Communication and Information Social sciences::Communication Social Media Cancer This study aims to extend the infodemiology framework by postulating that effective use of digital data sources for cancer communication should consider four components: (a) content: key topics that people are concerned with, (b) congruence: how interest in cancer topics differ between public posts (i.e., tweets) and private web searches, (c) context: the influence of the information environment, and (d) information conduits. We compared tweets (n = 36, 968) and Google web searches on breast, lung, and prostate cancer between the National Cancer Prevention Month and a non-cancer awareness month in 2018. There are three key findings. First, reliance on public tweets alone may result in lost opportunities to identify potential cancer misinformation detected from private web searches. Second, lung cancer tweets were most sensitive to external information environment - tweets became substantially pessimistic after the end of cancer awareness month. Finally, the cancer communication landscape was largely democratized, with no prominent conduits dominating conversations on Twitter. Nanyang Technological University Submitted/Accepted version This project was supported by a research grant from Nanyang Technological University [Grant No.: M020060110]. 2022-03-24T08:38:03Z 2022-03-24T08:38:03Z 2021 Journal Article Lee, E. W. J., Bekalu, M. A., McCloud, R. F. & Viswanath, K. (2021). Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication. Health Communication. https://dx.doi.org/10.1080/10410236.2021.1951957 1041-0236 https://hdl.handle.net/10356/155922 10.1080/10410236.2021.1951957 34266333 2-s2.0-85110850729 en M020060110 Health Communication This is an Accepted Manuscript of an article published by Taylor & Francis in Health Communication on 16 Jul 2021, available online: http://www.tandfonline.com/10.1080/10410236.2021.1951957. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Social sciences::Communication Social Media Cancer |
spellingShingle |
Social sciences::Communication Social Media Cancer Lee, Edmund Wei Jian Bekalu, Mesfin A. McCloud, Rachel F. Viswanath, K. Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication |
description |
This study aims to extend the infodemiology framework by postulating that effective use of digital data sources for cancer communication should consider four components: (a) content: key topics that people are concerned with, (b) congruence: how interest in cancer topics differ between public posts (i.e., tweets) and private web searches, (c) context: the influence of the information environment, and (d) information conduits. We compared tweets (n = 36, 968) and Google web searches on breast, lung, and prostate cancer between the National Cancer Prevention Month and a non-cancer awareness month in 2018. There are three key findings. First, reliance on public tweets alone may result in lost opportunities to identify potential cancer misinformation detected from private web searches. Second, lung cancer tweets were most sensitive to external information environment - tweets became substantially pessimistic after the end of cancer awareness month. Finally, the cancer communication landscape was largely democratized, with no prominent conduits dominating conversations on Twitter. |
author2 |
Wee Kim Wee School of Communication and Information |
author_facet |
Wee Kim Wee School of Communication and Information Lee, Edmund Wei Jian Bekalu, Mesfin A. McCloud, Rachel F. Viswanath, K. |
format |
Article |
author |
Lee, Edmund Wei Jian Bekalu, Mesfin A. McCloud, Rachel F. Viswanath, K. |
author_sort |
Lee, Edmund Wei Jian |
title |
Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication |
title_short |
Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication |
title_full |
Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication |
title_fullStr |
Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication |
title_full_unstemmed |
Toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication |
title_sort |
toward an extended infodemiology framework : leveraging social media data and web search queries as digital pulse on cancer communication |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/155922 |
_version_ |
1759854221905100800 |