When Infodemic Meets Epidemic: a Systematic Literature Review
Epidemics and outbreaks present arduous challenges requiring both individual and communal efforts. Social media offer significant amounts of data that can be leveraged for bio-surveillance. They also provide a platform to quickly and efficiently reach a sizeable percentage of the population, hence t...
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creator | Asaad, Chaimae Khaouja, Imane Ghogho, Mounir Baïna, Karim |
description | Epidemics and outbreaks present arduous challenges requiring both individual
and communal efforts. Social media offer significant amounts of data that can
be leveraged for bio-surveillance. They also provide a platform to quickly and
efficiently reach a sizeable percentage of the population, hence their
potential impact on various aspects of epidemic mitigation. The general
objective of this systematic literature review is to provide a methodical
overview of the integration of social media in different epidemic-related
contexts. Three research questions were conceptualized for this review,
resulting in over 10000 publications collected in the first PRISMA stage, 129
of which were selected for inclusion. A thematic method-oriented synthesis was
undertaken and identified 5 main themes related to social media enabled
epidemic surveillance, misinformation management, and mental health. Findings
uncover a need for more robust applications of the lessons learned from
epidemic post-mortem documentation. A vast gap exists between retrospective
analysis of epidemic management and result integration in prospective studies.
Harnessing the full potential of social media in epidemic related tasks
requires streamlining the results of epidemic forecasting, public opinion
understanding and misinformation propagation, all while keeping abreast of
potential mental health implications. Pro-active prevention has thus become
vital for epidemic curtailment and containment. |
doi_str_mv | 10.48550/arxiv.2210.04612 |
format | Article |
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and communal efforts. Social media offer significant amounts of data that can
be leveraged for bio-surveillance. They also provide a platform to quickly and
efficiently reach a sizeable percentage of the population, hence their
potential impact on various aspects of epidemic mitigation. The general
objective of this systematic literature review is to provide a methodical
overview of the integration of social media in different epidemic-related
contexts. Three research questions were conceptualized for this review,
resulting in over 10000 publications collected in the first PRISMA stage, 129
of which were selected for inclusion. A thematic method-oriented synthesis was
undertaken and identified 5 main themes related to social media enabled
epidemic surveillance, misinformation management, and mental health. Findings
uncover a need for more robust applications of the lessons learned from
epidemic post-mortem documentation. A vast gap exists between retrospective
analysis of epidemic management and result integration in prospective studies.
Harnessing the full potential of social media in epidemic related tasks
requires streamlining the results of epidemic forecasting, public opinion
understanding and misinformation propagation, all while keeping abreast of
potential mental health implications. Pro-active prevention has thus become
vital for epidemic curtailment and containment.</description><identifier>DOI: 10.48550/arxiv.2210.04612</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence ; Computer Science - Social and Information Networks</subject><creationdate>2022-10</creationdate><rights>http://creativecommons.org/licenses/by-nc-nd/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,782,887</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2210.04612$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2210.04612$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Asaad, Chaimae</creatorcontrib><creatorcontrib>Khaouja, Imane</creatorcontrib><creatorcontrib>Ghogho, Mounir</creatorcontrib><creatorcontrib>Baïna, Karim</creatorcontrib><title>When Infodemic Meets Epidemic: a Systematic Literature Review</title><description>Epidemics and outbreaks present arduous challenges requiring both individual
and communal efforts. Social media offer significant amounts of data that can
be leveraged for bio-surveillance. They also provide a platform to quickly and
efficiently reach a sizeable percentage of the population, hence their
potential impact on various aspects of epidemic mitigation. The general
objective of this systematic literature review is to provide a methodical
overview of the integration of social media in different epidemic-related
contexts. Three research questions were conceptualized for this review,
resulting in over 10000 publications collected in the first PRISMA stage, 129
of which were selected for inclusion. A thematic method-oriented synthesis was
undertaken and identified 5 main themes related to social media enabled
epidemic surveillance, misinformation management, and mental health. Findings
uncover a need for more robust applications of the lessons learned from
epidemic post-mortem documentation. A vast gap exists between retrospective
analysis of epidemic management and result integration in prospective studies.
Harnessing the full potential of social media in epidemic related tasks
requires streamlining the results of epidemic forecasting, public opinion
understanding and misinformation propagation, all while keeping abreast of
potential mental health implications. Pro-active prevention has thus become
vital for epidemic curtailment and containment.</description><subject>Computer Science - Artificial Intelligence</subject><subject>Computer Science - Social and Information Networks</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj01rAjEYhHPpQaw_wJP5A6v5TrbQg4hfsKWggsflXfcNDXRVstHWf69uexpmBoZ5CBlyNlZOazaB-BuuYyEeAVOGix5533_hka6P_lRjEw70AzG1dH4OnX2jQLe3NmED6VEWIWGEdIlIN3gN-PNKXjx8tzj41z7ZLea72SorPpfr2bTIwFiRWVBGCmmVtlXNrFA2N8i4qmvtJNPcH5A7JSSXXrqqcoZh7oyAXHMwuVeyT0Z_s93_8hxDA_FWPjnKjkPeAViPQKc</recordid><startdate>20221003</startdate><enddate>20221003</enddate><creator>Asaad, Chaimae</creator><creator>Khaouja, Imane</creator><creator>Ghogho, Mounir</creator><creator>Baïna, Karim</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20221003</creationdate><title>When Infodemic Meets Epidemic: a Systematic Literature Review</title><author>Asaad, Chaimae ; Khaouja, Imane ; Ghogho, Mounir ; Baïna, Karim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a672-7a463237457bd0724796e014dd583051fce1842313f38bb860e9862a951a69f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Artificial Intelligence</topic><topic>Computer Science - Social and Information Networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Asaad, Chaimae</creatorcontrib><creatorcontrib>Khaouja, Imane</creatorcontrib><creatorcontrib>Ghogho, Mounir</creatorcontrib><creatorcontrib>Baïna, Karim</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Asaad, Chaimae</au><au>Khaouja, Imane</au><au>Ghogho, Mounir</au><au>Baïna, Karim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>When Infodemic Meets Epidemic: a Systematic Literature Review</atitle><date>2022-10-03</date><risdate>2022</risdate><abstract>Epidemics and outbreaks present arduous challenges requiring both individual
and communal efforts. Social media offer significant amounts of data that can
be leveraged for bio-surveillance. They also provide a platform to quickly and
efficiently reach a sizeable percentage of the population, hence their
potential impact on various aspects of epidemic mitigation. The general
objective of this systematic literature review is to provide a methodical
overview of the integration of social media in different epidemic-related
contexts. Three research questions were conceptualized for this review,
resulting in over 10000 publications collected in the first PRISMA stage, 129
of which were selected for inclusion. A thematic method-oriented synthesis was
undertaken and identified 5 main themes related to social media enabled
epidemic surveillance, misinformation management, and mental health. Findings
uncover a need for more robust applications of the lessons learned from
epidemic post-mortem documentation. A vast gap exists between retrospective
analysis of epidemic management and result integration in prospective studies.
Harnessing the full potential of social media in epidemic related tasks
requires streamlining the results of epidemic forecasting, public opinion
understanding and misinformation propagation, all while keeping abreast of
potential mental health implications. Pro-active prevention has thus become
vital for epidemic curtailment and containment.</abstract><doi>10.48550/arxiv.2210.04612</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Artificial Intelligence Computer Science - Social and Information Networks |
title | When Infodemic Meets Epidemic: a Systematic Literature Review |
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