Exploring the presentation of HPV information online: A semantic network analysis of websites
Abstract Context Negative vaccination-related information online leads some to opt out of recommended vaccinations. Objective To determine how HPV vaccine information is presented online and what concepts co-occur. Methods A semantic network analysis of the words in first-page Google search results...
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| Veröffentlicht in: | Vaccine 2015-06, Vol.33 (29), p.3354-3359 |
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| description | Abstract Context Negative vaccination-related information online leads some to opt out of recommended vaccinations. Objective To determine how HPV vaccine information is presented online and what concepts co-occur. Methods A semantic network analysis of the words in first-page Google search results was conducted using three negative, three neutral, and three positive search terms for 10 base concepts such as HPV vaccine , and HPV immunizations . In total, 223 of the 300 websites retrieved met inclusion requirements. Website information was analyzed using network statistics to determine what words most frequently appear, which words co-occur, and the sentiment of the words. Results High levels of word interconnectivity were found suggesting a rich set of semantic links and a very integrated set of concepts. Limited number of words held centrality indicating limited concept prominence. This dense network signifies concepts that are well connected. Negative words were most prevalent and were associated with describing the HPV vaccine's side-effects as well as the negative effects of HPV and cervical cancer. A smaller cluster focuses on reporting negative vaccine side-effects. Clustering shows the words women and girls closely located to the words sexually , virus , and infection. Discussion Information about the HPV vaccine online centered on a limited number of concepts. HPV vaccine benefits as well as the risks of HPV, including severity and susceptibility, were centrally presented. Word cluster results imply that HPV vaccine information for women and girls is discussed in more sexual terms than for men and boys. |
| doi_str_mv | 10.1016/j.vaccine.2015.05.017 |
| format | Article |
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Objective To determine how HPV vaccine information is presented online and what concepts co-occur. Methods A semantic network analysis of the words in first-page Google search results was conducted using three negative, three neutral, and three positive search terms for 10 base concepts such as HPV vaccine , and HPV immunizations . In total, 223 of the 300 websites retrieved met inclusion requirements. Website information was analyzed using network statistics to determine what words most frequently appear, which words co-occur, and the sentiment of the words. Results High levels of word interconnectivity were found suggesting a rich set of semantic links and a very integrated set of concepts. Limited number of words held centrality indicating limited concept prominence. This dense network signifies concepts that are well connected. Negative words were most prevalent and were associated with describing the HPV vaccine's side-effects as well as the negative effects of HPV and cervical cancer. A smaller cluster focuses on reporting negative vaccine side-effects. Clustering shows the words women and girls closely located to the words sexually , virus , and infection. Discussion Information about the HPV vaccine online centered on a limited number of concepts. HPV vaccine benefits as well as the risks of HPV, including severity and susceptibility, were centrally presented. Word cluster results imply that HPV vaccine information for women and girls is discussed in more sexual terms than for men and boys.</description><identifier>ISSN: 0264-410X</identifier><identifier>EISSN: 1873-2518</identifier><identifier>DOI: 10.1016/j.vaccine.2015.05.017</identifier><identifier>PMID: 26036946</identifier><language>eng</language><publisher>Netherlands: Elsevier India Pvt Ltd</publisher><subject>Allergy and Immunology ; Cervical cancer ; Clustering ; Concept co-occurrence ; Female ; Girls ; Health Education ; Health Knowledge, Attitudes, Practice ; HPV vaccine websites ; Human papillomavirus ; Humans ; Immunization ; Internet ; Male ; Models, Statistical ; Network analysis ; Papillomavirus Infections - complications ; Papillomavirus Infections - epidemiology ; Papillomavirus Infections - prevention & control ; Papillomavirus Vaccines - adverse effects ; Papillomavirus Vaccines - immunology ; Semantic network analysis ; Semantics ; Sexual Behavior ; Side effects ; Statistical analysis ; Studies ; Uterine Cervical Neoplasms - epidemiology ; Uterine Cervical Neoplasms - etiology ; Uterine Cervical Neoplasms - prevention & control ; Vaccination - adverse effects ; Vaccination - methods ; Vaccination - psychology ; Vaccines ; Websites ; Women</subject><ispartof>Vaccine, 2015-06, Vol.33 (29), p.3354-3359</ispartof><rights>Elsevier Ltd</rights><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. All rights reserved.</rights><rights>2015. Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c617t-16e16faf51c9b251df6645241f1306c33313ac38456c991921164c0b46d1c1be3</citedby><cites>FETCH-LOGICAL-c617t-16e16faf51c9b251df6645241f1306c33313ac38456c991921164c0b46d1c1be3</cites><orcidid>0000-0002-3728-8752</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1688468515?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26036946$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ruiz, Jeanette B</creatorcontrib><creatorcontrib>Barnett, George A</creatorcontrib><title>Exploring the presentation of HPV information online: A semantic network analysis of websites</title><title>Vaccine</title><addtitle>Vaccine</addtitle><description>Abstract Context Negative vaccination-related information online leads some to opt out of recommended vaccinations. Objective To determine how HPV vaccine information is presented online and what concepts co-occur. Methods A semantic network analysis of the words in first-page Google search results was conducted using three negative, three neutral, and three positive search terms for 10 base concepts such as HPV vaccine , and HPV immunizations . In total, 223 of the 300 websites retrieved met inclusion requirements. Website information was analyzed using network statistics to determine what words most frequently appear, which words co-occur, and the sentiment of the words. Results High levels of word interconnectivity were found suggesting a rich set of semantic links and a very integrated set of concepts. Limited number of words held centrality indicating limited concept prominence. This dense network signifies concepts that are well connected. Negative words were most prevalent and were associated with describing the HPV vaccine's side-effects as well as the negative effects of HPV and cervical cancer. A smaller cluster focuses on reporting negative vaccine side-effects. Clustering shows the words women and girls closely located to the words sexually , virus , and infection. Discussion Information about the HPV vaccine online centered on a limited number of concepts. HPV vaccine benefits as well as the risks of HPV, including severity and susceptibility, were centrally presented. Word cluster results imply that HPV vaccine information for women and girls is discussed in more sexual terms than for men and boys.</description><subject>Allergy and Immunology</subject><subject>Cervical cancer</subject><subject>Clustering</subject><subject>Concept co-occurrence</subject><subject>Female</subject><subject>Girls</subject><subject>Health Education</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>HPV vaccine websites</subject><subject>Human papillomavirus</subject><subject>Humans</subject><subject>Immunization</subject><subject>Internet</subject><subject>Male</subject><subject>Models, Statistical</subject><subject>Network analysis</subject><subject>Papillomavirus Infections - complications</subject><subject>Papillomavirus Infections - epidemiology</subject><subject>Papillomavirus Infections - prevention & control</subject><subject>Papillomavirus Vaccines - adverse effects</subject><subject>Papillomavirus Vaccines - immunology</subject><subject>Semantic network analysis</subject><subject>Semantics</subject><subject>Sexual Behavior</subject><subject>Side effects</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Uterine Cervical Neoplasms - epidemiology</subject><subject>Uterine Cervical Neoplasms - etiology</subject><subject>Uterine Cervical Neoplasms - prevention & control</subject><subject>Vaccination - adverse effects</subject><subject>Vaccination - methods</subject><subject>Vaccination - psychology</subject><subject>Vaccines</subject><subject>Websites</subject><subject>Women</subject><issn>0264-410X</issn><issn>1873-2518</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkt9rFDEQx4Mo9qz-CcqCL77sObP5sRsfLKVUKxQU_IEvErLZWc11LzmTvdb77931ToW-FAYGhs98J5PvMPYUYYmA6uVqeW2d84GWFaBcwhRY32MLbGpeVhKb-2wBlRKlQPh6xB7lvAIAyVE_ZEeVAq60UAv27fzXZojJh-_F-IOKTaJMYbSjj6GIfXHx4UvhQx_T-lAKwzTyVXFaZFrbMHpXBBpvYroqbLDDLvs8t91Qm_1I-TF70Nsh05NDPmaf35x_OrsoL9-_fXd2elk6hfVYoiJUve0lOt1Ob-96pYSsBPbIQTnOOXLreCOkclqjrhCVcNAK1aHDlvgxe7HX3aT4c0t5NGufHQ2DDRS32WANKLSuFL8bVY3moEHWE_r8FrqK2zSt-YdqhGokyomSe8qlmHOi3mySX9u0MwhmtsqszMEqM1tlYAqc1Z8d1Lftmrp_XX-9mYCTPUDTz117SiY7T8FR5xO50XTR3zni9S0FN9nnnR2uaEf5_zYmVwbMx_le5nNBCaB4o_hvLoy6tg</recordid><startdate>20150626</startdate><enddate>20150626</enddate><creator>Ruiz, Jeanette B</creator><creator>Barnett, George A</creator><general>Elsevier India Pvt Ltd</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7T2</scope><scope>7T5</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3728-8752</orcidid></search><sort><creationdate>20150626</creationdate><title>Exploring the presentation of HPV information online: A semantic network analysis of websites</title><author>Ruiz, Jeanette B ; Barnett, George A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c617t-16e16faf51c9b251df6645241f1306c33313ac38456c991921164c0b46d1c1be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Allergy and Immunology</topic><topic>Cervical cancer</topic><topic>Clustering</topic><topic>Concept co-occurrence</topic><topic>Female</topic><topic>Girls</topic><topic>Health Education</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>HPV vaccine websites</topic><topic>Human papillomavirus</topic><topic>Humans</topic><topic>Immunization</topic><topic>Internet</topic><topic>Male</topic><topic>Models, Statistical</topic><topic>Network analysis</topic><topic>Papillomavirus Infections - complications</topic><topic>Papillomavirus Infections - epidemiology</topic><topic>Papillomavirus Infections - prevention & control</topic><topic>Papillomavirus Vaccines - adverse effects</topic><topic>Papillomavirus Vaccines - immunology</topic><topic>Semantic network analysis</topic><topic>Semantics</topic><topic>Sexual Behavior</topic><topic>Side effects</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Uterine Cervical Neoplasms - epidemiology</topic><topic>Uterine Cervical Neoplasms - etiology</topic><topic>Uterine Cervical Neoplasms - prevention & control</topic><topic>Vaccination - adverse effects</topic><topic>Vaccination - methods</topic><topic>Vaccination - psychology</topic><topic>Vaccines</topic><topic>Websites</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ruiz, Jeanette B</creatorcontrib><creatorcontrib>Barnett, George A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Vaccine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ruiz, Jeanette B</au><au>Barnett, George A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the presentation of HPV information online: A semantic network analysis of websites</atitle><jtitle>Vaccine</jtitle><addtitle>Vaccine</addtitle><date>2015-06-26</date><risdate>2015</risdate><volume>33</volume><issue>29</issue><spage>3354</spage><epage>3359</epage><pages>3354-3359</pages><issn>0264-410X</issn><eissn>1873-2518</eissn><abstract>Abstract Context Negative vaccination-related information online leads some to opt out of recommended vaccinations. Objective To determine how HPV vaccine information is presented online and what concepts co-occur. Methods A semantic network analysis of the words in first-page Google search results was conducted using three negative, three neutral, and three positive search terms for 10 base concepts such as HPV vaccine , and HPV immunizations . In total, 223 of the 300 websites retrieved met inclusion requirements. Website information was analyzed using network statistics to determine what words most frequently appear, which words co-occur, and the sentiment of the words. Results High levels of word interconnectivity were found suggesting a rich set of semantic links and a very integrated set of concepts. Limited number of words held centrality indicating limited concept prominence. This dense network signifies concepts that are well connected. Negative words were most prevalent and were associated with describing the HPV vaccine's side-effects as well as the negative effects of HPV and cervical cancer. A smaller cluster focuses on reporting negative vaccine side-effects. Clustering shows the words women and girls closely located to the words sexually , virus , and infection. Discussion Information about the HPV vaccine online centered on a limited number of concepts. HPV vaccine benefits as well as the risks of HPV, including severity and susceptibility, were centrally presented. Word cluster results imply that HPV vaccine information for women and girls is discussed in more sexual terms than for men and boys.</abstract><cop>Netherlands</cop><pub>Elsevier India Pvt Ltd</pub><pmid>26036946</pmid><doi>10.1016/j.vaccine.2015.05.017</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-3728-8752</orcidid></addata></record> |
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| subjects | Allergy and Immunology Cervical cancer Clustering Concept co-occurrence Female Girls Health Education Health Knowledge, Attitudes, Practice HPV vaccine websites Human papillomavirus Humans Immunization Internet Male Models, Statistical Network analysis Papillomavirus Infections - complications Papillomavirus Infections - epidemiology Papillomavirus Infections - prevention & control Papillomavirus Vaccines - adverse effects Papillomavirus Vaccines - immunology Semantic network analysis Semantics Sexual Behavior Side effects Statistical analysis Studies Uterine Cervical Neoplasms - epidemiology Uterine Cervical Neoplasms - etiology Uterine Cervical Neoplasms - prevention & control Vaccination - adverse effects Vaccination - methods Vaccination - psychology Vaccines Websites Women |
| title | Exploring the presentation of HPV information online: A semantic network analysis of websites |
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