Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic
People turn to search engines and social media to seek information during population-level events, such as during civil unrest, disease outbreaks, fires, or flood. They also tend to participate in discussions and disseminate information and opinions via social media forums, and smartphone messaging...
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creator | Fatima, Mehak Rextin, Aimal Nasim, Mehwish Yusuf, Osman |
description | People turn to search engines and social media to seek information during
population-level events, such as during civil unrest, disease outbreaks, fires,
or flood. They also tend to participate in discussions and disseminate
information and opinions via social media forums, and smartphone messaging
applications. COVID-19 pandemic was not any different. However, the proper
medical awareness and correct information dissemination is critical during a
pandemic. An unprecedented amount of internet traffic related to this topic was
generated during the start of the pandemic all over the world. In this work, we
have analysed the electronic data generated by users from Pakistan on Google
Search Engine and WhatsApp to understand their information-seeking behavior
during the first wave of the pandemic. The paper aims at analysing how the
Pakistani public developed their understanding about the disease, (its origin,
cures, and preventive measures to name a few) by analysing digital data. We
found that the public actively searched and discussed information at the start
of the pandemic. However, their interest waned with time and was reinvigorated
only when something novel or shocking seemed to have occurred. Understanding
this information seeking behavior will allow corrective actions to be taken by
health policymakers to better inform the public for possible future waves of a
pandemic through electronic media, as well as and the social media companies
and search engines to address misinformation among the users in the emergent
markets. |
doi_str_mv | 10.48550/arxiv.2201.09526 |
format | Article |
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population-level events, such as during civil unrest, disease outbreaks, fires,
or flood. They also tend to participate in discussions and disseminate
information and opinions via social media forums, and smartphone messaging
applications. COVID-19 pandemic was not any different. However, the proper
medical awareness and correct information dissemination is critical during a
pandemic. An unprecedented amount of internet traffic related to this topic was
generated during the start of the pandemic all over the world. In this work, we
have analysed the electronic data generated by users from Pakistan on Google
Search Engine and WhatsApp to understand their information-seeking behavior
during the first wave of the pandemic. The paper aims at analysing how the
Pakistani public developed their understanding about the disease, (its origin,
cures, and preventive measures to name a few) by analysing digital data. We
found that the public actively searched and discussed information at the start
of the pandemic. However, their interest waned with time and was reinvigorated
only when something novel or shocking seemed to have occurred. Understanding
this information seeking behavior will allow corrective actions to be taken by
health policymakers to better inform the public for possible future waves of a
pandemic through electronic media, as well as and the social media companies
and search engines to address misinformation among the users in the emergent
markets.</description><identifier>DOI: 10.48550/arxiv.2201.09526</identifier><language>eng</language><subject>Computer Science - Social and Information Networks</subject><creationdate>2022-01</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2201.09526$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2201.09526$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Fatima, Mehak</creatorcontrib><creatorcontrib>Rextin, Aimal</creatorcontrib><creatorcontrib>Nasim, Mehwish</creatorcontrib><creatorcontrib>Yusuf, Osman</creatorcontrib><title>Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic</title><description>People turn to search engines and social media to seek information during
population-level events, such as during civil unrest, disease outbreaks, fires,
or flood. They also tend to participate in discussions and disseminate
information and opinions via social media forums, and smartphone messaging
applications. COVID-19 pandemic was not any different. However, the proper
medical awareness and correct information dissemination is critical during a
pandemic. An unprecedented amount of internet traffic related to this topic was
generated during the start of the pandemic all over the world. In this work, we
have analysed the electronic data generated by users from Pakistan on Google
Search Engine and WhatsApp to understand their information-seeking behavior
during the first wave of the pandemic. The paper aims at analysing how the
Pakistani public developed their understanding about the disease, (its origin,
cures, and preventive measures to name a few) by analysing digital data. We
found that the public actively searched and discussed information at the start
of the pandemic. However, their interest waned with time and was reinvigorated
only when something novel or shocking seemed to have occurred. Understanding
this information seeking behavior will allow corrective actions to be taken by
health policymakers to better inform the public for possible future waves of a
pandemic through electronic media, as well as and the social media companies
and search engines to address misinformation among the users in the emergent
markets.</description><subject>Computer Science - Social and Information Networks</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj81Og0AUhWfjwlQfwJXzAuAdYH5YKlglaVITjC7JHeZSJrZgpkj07bXU1flJzkk-xm4ExJmREu4wfPs5ThIQMeQyUZesKf3OT7jn1dCN4YCTHwdeE334YcdxcLzuMZz8A_U4-zHw8mvJU0987cNx4u84Ex-7pSm2b1UZiZy__G3p4NsrdtHh_kjX_7pi9frxtXiONtunqrjfRKi0iqyUmREkldNEwmpqc0QhUSsDkLXaATnhJJhUgHJWke0sWHLGGtCdS1fs9vy6ADafwR8w_DQn0GYBTX8BRVxNww</recordid><startdate>20220124</startdate><enddate>20220124</enddate><creator>Fatima, Mehak</creator><creator>Rextin, Aimal</creator><creator>Nasim, Mehwish</creator><creator>Yusuf, Osman</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20220124</creationdate><title>Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic</title><author>Fatima, Mehak ; Rextin, Aimal ; Nasim, Mehwish ; Yusuf, Osman</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a676-b55481e56d7ee1b7ec9aa15a768004c7d0ed1d5083106db6ebfb0bed8b807fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Social and Information Networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Fatima, Mehak</creatorcontrib><creatorcontrib>Rextin, Aimal</creatorcontrib><creatorcontrib>Nasim, Mehwish</creatorcontrib><creatorcontrib>Yusuf, Osman</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fatima, Mehak</au><au>Rextin, Aimal</au><au>Nasim, Mehwish</au><au>Yusuf, Osman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic</atitle><date>2022-01-24</date><risdate>2022</risdate><abstract>People turn to search engines and social media to seek information during
population-level events, such as during civil unrest, disease outbreaks, fires,
or flood. They also tend to participate in discussions and disseminate
information and opinions via social media forums, and smartphone messaging
applications. COVID-19 pandemic was not any different. However, the proper
medical awareness and correct information dissemination is critical during a
pandemic. An unprecedented amount of internet traffic related to this topic was
generated during the start of the pandemic all over the world. In this work, we
have analysed the electronic data generated by users from Pakistan on Google
Search Engine and WhatsApp to understand their information-seeking behavior
during the first wave of the pandemic. The paper aims at analysing how the
Pakistani public developed their understanding about the disease, (its origin,
cures, and preventive measures to name a few) by analysing digital data. We
found that the public actively searched and discussed information at the start
of the pandemic. However, their interest waned with time and was reinvigorated
only when something novel or shocking seemed to have occurred. Understanding
this information seeking behavior will allow corrective actions to be taken by
health policymakers to better inform the public for possible future waves of a
pandemic through electronic media, as well as and the social media companies
and search engines to address misinformation among the users in the emergent
markets.</abstract><doi>10.48550/arxiv.2201.09526</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Social and Information Networks |
title | Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic |
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