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    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">JMIR</journal-id>
            <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
            <journal-title>Journal of Medical Internet Research</journal-title>
            <issn pub-type="epub">1438-8871</issn>
            <publisher>
                <publisher-name>JMIR Publications Inc.</publisher-name>
                <publisher-loc>Toronto, Canada</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">v16i5e129</article-id>
            <article-id pub-id-type="pmid">24834471</article-id>
            <article-id pub-id-type="doi">10.2196/jmir.2846</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Original Paper</subject>
                </subj-group>
                <subj-group subj-group-type="article-type">
                    <subject>Original Paper</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Development of a National Agreement on Human Papillomavirus Vaccination in Japan: An Infodemiology Study</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="editor">
                    <name>
                        <surname>Eysenbach</surname>
                        <given-names>Gunther</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Yom-Tov</surname>
                        <given-names>Elad</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Harle</surname>
                        <given-names>Christopher</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="author" id="contrib1" corresp="yes">
                    <name name-style="western">
                        <surname>Nakada</surname>
                        <given-names>Haruka</given-names>
                    </name>
                    <degrees>BS, JD</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                    <address>
                        <institution>Institute of Medical Science</institution>
                        <institution>Division of Social Communication System for Advanced Clinical Research</institution>
                        <institution>The University of Tokyo</institution>
                        <addr-line>4-6-1 Shirokanedai,</addr-line>
                        <addr-line>Minato-ku</addr-line>
                        <addr-line>Tokyo, 108-8639</addr-line>
                        <country>Japan</country>
                        <phone>81 3 6409 2068</phone>
                        <fax>81 3 6409 2069</fax>
                        <email>nakurah-tky@umin.net</email>
                    </address>
                </contrib>
                <contrib contrib-type="author" id="contrib2">
                    <name name-style="western">
                        <surname>Yuji</surname>
                        <given-names>Koichiro</given-names>
                    </name>
                    <degrees>MD, PhD</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib3">
                    <name name-style="western">
                        <surname>Tsubokura</surname>
                        <given-names>Masaharu</given-names>
                    </name>
                    <degrees>MD</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib4">
                    <name name-style="western">
                        <surname>Ohsawa</surname>
                        <given-names>Yukio</given-names>
                    </name>
                    <degrees>PhD</degrees>
                    <xref rid="aff2" ref-type="aff">2</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib5">
                    <name name-style="western">
                        <surname>Kami</surname>
                        <given-names>Masahiro</given-names>
                    </name>
                    <degrees>MD, PhD</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                </contrib>
            </contrib-group>
            <aff id="aff1">
                <sup>1</sup>
                <institution>Institute of Medical Science</institution>
                <institution>Division of Social Communication System for Advanced Clinical Research</institution>
                <institution>The University of Tokyo</institution>
                <addr-line>Tokyo</addr-line>
                <country>Japan</country>
            </aff>
            <aff id="aff2">
                <sup>2</sup>
                <institution>School of Engineering</institution>
                <institution>Department of Systems Innovation</institution>
                <institution>The University of Tokyo</institution>
                <addr-line>Tokyo</addr-line>
                <country>Japan</country>
            </aff>
            <author-notes>
                <corresp>Corresponding Author: Haruka Nakada <email>nakurah-tky@umin.net</email>
                </corresp>
            </author-notes>
            <pub-date pub-type="collection">
                <month>05</month>
                <year>2014</year>
            </pub-date>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>05</month>
                <year>2014</year>
            </pub-date>
            <volume>16</volume>
            <issue>5</issue>
            <elocation-id>e129</elocation-id>
            <!--history from ojs - api-xml-->
            <history>
                <date date-type="received">
                    <day>24</day>
                    <month>07</month>
                    <year>2013</year>
                </date>
                <date date-type="rev-request">
                    <day>20</day>
                    <month>09</month>
                    <year>2013</year>
                </date>
                <date date-type="rev-recd">
                    <day>12</day>
                    <month>12</month>
                    <year>2013</year>
                </date>
                <date date-type="accepted">
                    <day>09</day>
                    <month>04</month>
                    <year>2014</year>
                </date>
            </history>
            <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
            <copyright-statement>&#169;Haruka Nakada, Koichiro Yuji, Masaharu Tsubokura, Yukio Ohsawa, Masahiro Kami. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.05.2014. </copyright-statement>
            <copyright-year>2014</copyright-year>
            <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
                <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.</p>
            </license>
            <self-uri xlink:href="http://www.jmir.org/2014/5/e129/" xlink:type="simple" />
            <abstract>
                <sec sec-type="background">
                    <title>Background</title>
                    <p>A national agreement on human papillomavirus (HPV) vaccination was achieved relatively quickly in Japan as compared to the United States and India.</p>
                </sec>
                <sec sec-type="objective">
                    <title>Objective</title>
                    <p>The objective was to identify the role of print and online media references, including references to celebrities or other informants, as factors potentially responsible for the relatively rapid national acceptance of HPV vaccination in Japan.</p>
                </sec>
                <sec sec-type="methods">
                    <title>Methods</title>
                    <p>A method of text mining was performed to select keywords, representing the context of the target documents, from articles relevant to the promotion of HPV vaccination appearing in major Japanese newspapers and Web pages between January 2009 and July 2010. The selected keywords were classified as positive, negative, or neutral, and the transition of the frequency of their appearance was analyzed.</p>
                </sec>
                <sec sec-type="results">
                    <title>Results</title>
                    <p>The number of positive and neutral keywords appearing in newspaper articles increased sharply in early 2010 while the number of negative keywords remained low. The numbers of positive, neutral, and negative keywords appearing in Web pages increased gradually and did not significantly differ by category. Neutral keywords, such as &#8220;vaccine&#8221; and &#8220;prevention,&#8221; appeared more frequently in newspaper articles, whereas negative keywords, such as &#8220;infertility&#8221; and &#8220;side effect,&#8221; appeared more frequently in Web pages. The extraction of the positive keyword &#8220;signature campaign&#8221; suggests that vaccine beneficiaries cooperated with providers in promoting HPV vaccination.</p>
                </sec>
                <sec sec-type="conclusions">
                    <title>Conclusions</title>
                    <p>The rapid development of a national agreement regarding HPV vaccination in Japan may be primarily attributed to the advocacy of vaccine beneficiaries, supported by advocacy by celebrities and positive reporting by print and online media.</p>
                </sec>
            </abstract>
            <kwd-group>
                <kwd>cervical cancer</kwd>
                <kwd>health policy</kwd>
                <kwd>human papillomavirus</kwd>
                <kwd>public health</kwd>
                <kwd>vaccination</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="introduction">
            <title>Introduction</title>
            <p>As of October 2010, 29 countries had issued formal recommendations or developed financing plans for the quadrivalent vaccine (Gardasil; Merck) and/or the bivalent vaccine (Cervarix; GlaxoSmithKline) to prevent human papillomavirus (HPV) infection [<xref ref-type="bibr" rid="ref1">1</xref>]. Many stakeholders likely contributed to the establishment of this national agreement regarding HPV vaccination, including legislators, professional and advocacy organizations, pharmaceutical companies, print and online media, researchers, and informal networks. Of these sources, online media play an increasingly important role in the sharing of medical information [<xref ref-type="bibr" rid="ref2">2</xref>]. Popular celebrities&#8217; experiences have a tremendous role in raising the public awareness about this disease. In the United Kingdom, cervical cancer screenings increased after a popular TV star, Jade Goody, died from cervical cancer. This is the so-called &#8220;Jade Goody effect&#8221; [<xref ref-type="bibr" rid="ref3">3</xref>].</p>
            <p>Japan legally supports routine childhood immunization against only 8 diseases [<xref ref-type="bibr" rid="ref4">4</xref>], a policy that can be primarily attributed to law suits during the 1980s and 1990s [<xref ref-type="bibr" rid="ref5">5</xref>], and the budget deficit. Nevertheless, unlike in the United States [<xref ref-type="bibr" rid="ref6">6</xref>] and India [<xref ref-type="bibr" rid="ref7">7</xref>], national agreement on HPV vaccination was reached relatively smoothly in Japan. After the 2006 licensure of Merck&#8217;s HPV vaccine in the United States, bills to make HPV vaccination compulsory were introduced in 24 states. However, policymakers changed their mind and as of February 2010, only 2 states had enacted mandates [<xref ref-type="bibr" rid="ref6">6</xref>]. In India, the government suspended the HPV vaccine trials responding to demands from advocacy groups. In contrast, in Japan, after the licensing of a bivalent HPV vaccine in October 2009, 294 local governments corresponding to 16.4% of the total local governments decided to offer subsidies by October 26, 2010. On August 5, 2010, the Minister of Health, Labor and Welfare proclaimed that they would budget for the national vaccination for the next fiscal year. These actions by the government imply that a national agreement for HPV vaccination was reached. The objective of this study is to identify the role of print and online media references, including references to celebrities or other informants, as factors potentially responsible for the relatively rapid development of the national agreement on HPV vaccination in Japan.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Overview</title>
                <p>An overview of the process and the analysis method used in this paper is shown in <xref ref-type="fig" rid="figure1">Figure 1</xref>. We will describe the details of each step in the process, corresponding to each frame in <xref ref-type="fig" rid="figure1">Figure 1</xref>, subsequently.</p>
                <fig id="figure1" position="float">
                    <label>Figure 1</label>
                    <caption>
                        <p>Overview of the process to analyze media review reports on HPV in Japan.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e129_fig1.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
            </sec>
            <sec>
                <title>Media Review</title>
                <p>After review of articles related to cervical cancer using keywords, a total of 5 newspapers covering approximately 60% of total circulation were selected from among all registered newspapers in Nikkei Telecom 21, the major newspaper database in Japan. Using the Google search engine, we selected Web pages by keywords and the names of 5 Japanese celebrities who survived cervical cancer before 2010; most of these celebrities were involved in activities to promote HPV vaccination or had shared their stories via books or mass media. The monthly change in the number of instances in which each category of keywords appeared in newspaper articles and Web pages was determined and analyzed. We collected Web pages updated for specified periods via Google&#8217;s search engine. The dates of publication for news articles were listed in the database. All articles and almost all the Web pages were in Japanese because we searched using Japanese keywords (the keywords shown subsequently are translated into English). As we described the situation in Japan, the language was constrainted to Japanese.</p>
            </sec>
            <sec>
                <title>Keyword Selection and Classification</title>
                <p>Keywords were selected using KeyGraph [<xref ref-type="bibr" rid="ref8">8</xref>-<xref ref-type="bibr" rid="ref13">13</xref>] (see <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref> for details) and were manually classified into positive, negative, or neutral expressions so that their frequency in newspaper articles and Web pages between January 2009 and July 2010 could be compared.</p>
                <p>We used the keyword graphs in <xref ref-type="fig" rid="figure2">Figures 2</xref> and <xref ref-type="fig" rid="figure3">3</xref> obtained by KeyGraph applied to the review of the reporting of HPV vaccination during the study period. Referring to <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref>, the number of nodes (element of the document) were set as N_blacknodes=30, N_black links =20, and N_red nodes=10 (the default values for setting these parameters). The black node, red node, and black link are defined as a high frequency word, an important word not shown with high frequency in the document, and a connection in the document, respectively.</p>
                <p>From the keywords presented by KeyGraph, 2 domain experts, who are researchers of medical sociology (HN and MK), independently selected words representing already existing concepts relevant to the promotion of HPV vaccine and classified the keywords as positive, neutral, or negative (<xref ref-type="table" rid="table1">Table 1</xref>), based on discussion with specialists in vaccination policy in Japan. If there was discordance between them, HN made a final decision. The kappa statistic was used to assess the level of agreement among the researchers. The definition of positive, negative, and neutral were &#8220;promotion of HPV vaccination,&#8221; &#8220;objection or barrier to HPV vaccination,&#8221; and &#8220;activities against cervical cancer,&#8221; respectively. For example, &#8220;public expense&#8221; was positive because HPV vaccination was supported by public funding. An attorney&#8217;s name was negative because the attorney actively developed a campaign against HPV vaccination.</p>
                <table-wrap position="float" id="table1">
                    <label>Table 1</label>
                    <caption>
                        <p>Classification of keywords associated with human papillomavirus (HPV) in Japan.</p>
                    </caption>
                    <table width="527" border="1" cellpadding="1" cellspacing="0" rules="groups" frame="hsides">
                        <col width="72" />
                        <col width="449" />
                        <thead>
                            <tr valign="top">
                                <td>Category</td>
                                <td>Keywords</td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td>Positive</td>
                                <td>Public expense, subsidy, signature campaign, recruitment</td>
                            </tr>
                            <tr valign="top">
                                <td>Neutral</td>
                                <td>Vaccine, screening, Cervarix, prevention, vaccination</td>
                            </tr>
                            <tr valign="top">
                                <td>Negative</td>
                                <td>Side effect, infertility, danger, [an attorney&#8217;s name]</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig id="figure2" position="float">
                    <label>Figure 2</label>
                    <caption>
                        <p>Keyword map (KeyGraph) showing the primary stakeholders in HPV vaccination in 2009. The most frequent words are shown with black nodespairs of these frequent words co-occurring the most get linked via black lines. “GAN” is a Japanese word meaning cancer.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e129_fig2.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
                <fig id="figure3" position="float">
                    <label>Figure 3</label>
                    <caption>
                        <p>Keyword map (KeyGraph) showing the primary stakeholders in HPV vaccination in 2010. The most frequent words are shown with black nodespairs of these frequent words co-occurring the most get linked via black lines. “GAN” is a Japanese word meaning cancer.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e129_fig3.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Media Analysis</title>
                <p>The total number of newspaper articles and Web pages containing information regarding cervical cancer was 624 and 15,792,600, respectively, for the study period. An increase in the number of newspaper articles coincided with an increase in Web pages in early 2010 (<xref ref-type="fig" rid="figure4">Figures 4</xref> and <xref ref-type="fig" rid="figure5">5</xref>). The numbers of positive and neutral keywords in the newspaper articles increased sharply in early 2010 and peaked in June 2010, whereas the number of negative keywords remained low throughout the study period (<xref ref-type="fig" rid="figure4">Figure 4</xref>). In contrast, the numbers of positive, neutral, and negative keywords in Web pages increased gradually over the study period and did not significantly differ by category (<xref ref-type="fig" rid="figure5">Figure 5</xref>). Although the number of Web pages containing the names of relevant Japanese celebrities had increased to 19,200 by May 2010 (<xref ref-type="fig" rid="figure4">Figure 4</xref>), few newspaper articles reported on these celebrities during the study period (<xref ref-type="fig" rid="figure5">Figure 5</xref>). The neutral keywords &#8220;vaccine&#8221; and &#8220;prevention&#8221; appeared more frequently in newspapers, whereas the negative keywords &#8220;infertility&#8221; and &#8220;vaccine&#8221; appeared more frequently on Web pages.</p>
                <fig id="figure4" position="float">
                    <label>Figure 4</label>
                    <caption>
                        <p>Serial changes in the number of newspaper articles containing positive, negative, and neutral keywords related to cervical cancer and the names of relevant Japanese celebrities.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e129_fig4.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
                <fig id="figure5" position="float">
                    <label>Figure 5</label>
                    <caption>
                        <p>Serial changes in the number of Web pages containing positive, negative, and neutral keywords related to cervical cancer and the names of relevant Japanese celebrities.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e129_fig5.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
            </sec>
            <sec>
                <title>Keyword Analysis</title>
                <p>The assessment of the agreement on the keyword labeling revealed no significant differences between the 2 researchers (&#954;=.884). The number of Web pages containing the 3 positive keywords increased gradually over the study period, whereas the number of newspaper articles containing the positive keywords &#8220;subsidy&#8221; and &#8220;public expense&#8221; peaked in June 2010. The neutral keywords &#8220;vaccine&#8221; and &#8220;prevention&#8221; co-occurred frequently in newspaper articles throughout the study period, with the number containing &#8220;prevention&#8221; peaking in June 2010. Although the number of Web pages containing the negative keywords &#8220;side effect&#8221; and &#8220;infertility&#8221; increased gradually over the study period, the number of newspaper articles containing &#8220;side effect&#8221; peaked in June 2010.</p>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <sec>
                <title>Principal Findings</title>
                <p>Text mining using KeyGraph led to extraction of the keywords &#8220;public expense,&#8221; &#8220;subsidy,&#8221; and &#8220;signature campaign,&#8221; but not &#8220;pharmaceutical company&#8221; (a main stakeholder in the promotion of HPV vaccination [<xref ref-type="bibr" rid="ref14">14</xref>-<xref ref-type="bibr" rid="ref16">16</xref>]) as a positive keyword. The extraction of these words&#8212;particularly &#8220;signature campaign,&#8221; a type of campaign conducted by vaccine beneficiaries&#8212;suggests that vaccine beneficiaries cooperated with providers in promoting HPV vaccination in Japan. Because previous studies on HPV vaccination failed to find evidence of such cooperation [<xref ref-type="bibr" rid="ref17">17</xref>], these findings were unexpected but noteworthy in discussing latent social trends affecting the prevalence of HPV vaccination.</p>
                <p>Analysis of the results suggested that the most influential stakeholders had changed from vaccine providers, including medical specialists and pharmaceutical companies, to vaccine beneficiaries during the nationwide discussion on HPV vaccination between 2009 and 2010 (<xref ref-type="fig" rid="figure2">Figures 2</xref> and <xref ref-type="fig" rid="figure3">3</xref>). After comparing <xref ref-type="fig" rid="figure2">Figures 2</xref> and <xref ref-type="fig" rid="figure3">3</xref>, we defined stakeholders as people or groups who might have some impact or influence on the HPV vaccination situation in Japan. The words describing HPV, features of cervical cancer, vaccine, or the name of the pharmaceutical company appeared with high frequency (<xref ref-type="fig" rid="figure2">Figure 2</xref>). The media primarily reported the development or licensure of HPV vaccine in 2009, implying that the main stakeholders were vaccine providers. In contrast, the keywords &#8220;public expense,&#8221; &#8220;subsidy,&#8221; &#8220;signature campaign,&#8221; and an attorney&#8217;s name appeared in <xref ref-type="fig" rid="figure3">Figure 3</xref>. These keywords were closely related to lay people&#8217;s activities or financial issues related to individual vaccination. The increase in the appearance of the keywords implies that the stakeholders in 2010 were lay people who generally benefit from vaccine.</p>
                <p>The nature of the discussion regarding HPV vaccination varied widely between newspaper articles and Web pages. We found 2 major tendencies: (1) the number of newspaper articles containing positive and neutral keywords increased exponentially before peaking in June 2010, but the number containing negative keywords remained stable (<xref ref-type="fig" rid="figure4">Figure 4</xref>), and (2) the number of Web pages containing all 3 categories of keywords increased gradually over the study period (<xref ref-type="fig" rid="figure5">Figure 5</xref>). One possible explanation for this difference is timing. When the Japanese government initiates budgetary compilations, typically in May or June, it allows press clubs&#8212;including the major newspaper and television providers, but not online media sources&#8212;a high level of access to its proceedings [<xref ref-type="bibr" rid="ref18">18</xref>]. Thus, the nature of reporting by print and online sources may differ during these periods. Another possible factor is bias. Newspapers are often financially dependent on their sponsors, which may include pharmaceutical companies [<xref ref-type="bibr" rid="ref19">19</xref>]; thus, they may be reluctant to report information opposing their sponsors&#8217; interests. Another possible factor may be that print media have strict space and time restrictions. Because of these restrictions, newspaper media sometimes report only one aspect of the events.</p>
                <p>In contrast, anyone can provide online content, and many of these authors have no conflicts of interest with sponsors. Web content writers, especially amateur writers, can provide their opinions freely on Web. Moreover, because Web content remains almost permanently, they are gradually accumulated.</p>
                <p>This discussion does not prove causality, but proposes hypotheses consistent with the observed trends. Another possibility is that, for example, regardless of superficial differences regarding words and causations, the 2 tendencies are interrelated. Their coupling effect can be suggested as a hypothesis, according to the following analysis. The curve in <xref ref-type="fig" rid="figure4">Figure 4</xref> for newspaper articles, in which positive expressions correspond to persuasive messages may superficially look different from the curve in <xref ref-type="fig" rid="figure5">Figure 5</xref>, in which negative expressions (ie, criticisms and counter opinions to HPV vaccination) persistently increased on the Web. However, we found a significant covariation between the 2 tendencies. We calculated the values from the equations displayed in <xref ref-type="fig" rid="figure6">Figure 6</xref> to see correlation between the 2 tendencies.</p>
                <p>For example, growth of positive news (May 2010) is equal to 30/17, because the value of count positive news (May 2010)&#8212;the number of articles with positive words in May 2010, equal to 47 as shown in <xref ref-type="fig" rid="figure3">Figure 3</xref>&#8212;is larger than 17 by 30, which is the average of count of positive news for the 4 months from January to April 2010. We used 4 months as the denominator in both equations to omit noise that appeared as small variations over periods of 4 months. Then, we extinguished the outlying period January 2010, where growth of positive news (January 2010) was 4.09. This value was exceptionally large in comparison with other periods, where the second largest growth of positive news was 2.4 (SD 1.18). As a result, as in <xref ref-type="fig" rid="figure7">Figure 7</xref>, the sequences of growth of positive news (<italic>t</italic>) and growth of negative Web (<italic>t</italic>-dt) are correlated significantly for dt=0, where dt means the length of staggered time in evaluating the temporal correlation between the sequences. That is, the strong correlation (<italic>R</italic>=.79) for dt=0 means the coincidence of changes in the frequencies of words in each category (positive/neutral/negative), between the 2 sequences for exactly same periods (May 2009 to June 2010). Thus, the negative reaction of the Web can be considered to be linked significantly with the positive in the mass media represented by newspapers.</p>
                <p>One of the potential explanations for the tendencies is the 2-sided presentation, although its causal relation to the national agreement about HPV vaccination in Japan is difficult to prove until we observe sufficient variation of situations (ie, whether each piece of candidate causal information was shown or not for each change of national agreement&#8212;this point is addressed in future work mentioned subsequently). This effect, established by Hovland et al [<xref ref-type="bibr" rid="ref20">20</xref>], was that a 2-sided message&#8212;a message presenting not only the negative side but also the positive side of a controversial issue (such as an advertised product)&#8212;is more persuasive than a 1-sided message to educate an audience expected to have basic knowledge about the issue discussed or to those who were not initially positive to be persuaded by a message. This difference between the effects of 1- and 2-sided messages is explained in terms of perception of bias in Belch [<xref ref-type="bibr" rid="ref21">21</xref>]. That is, a 1-sided message would be regarded as biased by those who are aware of opposing arguments or of arguments on both sides of the issue. Taking this position, the analysis result presented here corresponds to this effect in that the positive information provided by newspapers and the negative information on the Web composed 2-sided messages and were casted before and with the social movement toward the promotion of vaccination.</p>
                <fig id="figure6" position="float">
                    <label>Figure 6</label>
                    <caption>
                        <p>Equations for each month (t) where growth x(t) denotes the increase in the counted number, countx(t) of articles or Web pages corresponding to x at time t, in comparison with the average of the 4 preceding months.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e129_fig6.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
                <fig id="figure7" position="float">
                    <label>Figure 7</label>
                    <caption>
                        <p>Pearson correlation coefficient between the 2 sequences corresponding to positive keywords in news and negative keywords on the Web, with staggering the sequences by sliding time dt.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e129_fig7.png" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
            </sec>
            <sec>
                <title>Limitations</title>
                <p>We have tried to present a plausible explanation for the media trends and national agreement on HPV vaccination. We should consider 2 limitations faced by this study that may limit the generalizability of the findings. First, certain types of media, including magazines, television, and social media (ie, Twitter and Facebook)&#8212;the last of which have become increasingly important sources of information transmission between doctors and patients as well as among medical researchers [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref22">22</xref>]&#8212;were not included in the analysis because of their lack of inclusion in major databases. Because we do not have a well-established database of social media content, we focused on newspapers and Web pages in this study. Further investigation of social media will be necessary in our next study. Second, pharmaceutical companies might have indirectly influenced the national agreement by promoting HPV vaccination through donations to patient advocacy groups or nonprofit organizations. Because no database was available about advertisements in newspapers and on Web media in Japan, it is difficult to evaluate its influences on the public opinion. Nagata and colleagues [<xref ref-type="bibr" rid="ref23">23</xref>] reported the effects of advertisements in weekly magazines. According to the study, 6 weekly magazines provided 696 articles and 340 advertisements relating to cancer, 30.4% of which reported dubious folk medicine and immunotherapeutic treatments without supporting evidence. The contents in the weekly magazines could prejudice the public against cancer therapies. Pharmaceutical companies may intend to influence public opinion via mass media. Both the first and the second limitations are addressed in our future work identifying the role of references to information as factors responsible for the development of national agreement on HPV vaccination. We expect this will present plausible explanations for the positive social trend and support professions in the future who would contribute to prevailing useful medical technologies.</p>
            </sec>
            <sec>
                <title>Conclusion</title>
                <p>The rapid development of a national agreement regarding HPV vaccination in Japan may be primarily attributed to advocacy by vaccine beneficiaries supported by celebrity advocacy and positive reporting by print and online media.</p>
            </sec>
        </sec>
    </body>
    <back>
        <app-group>
            <app id="app1">
                <title>Multimedia Appendix 1</title>
                <p>KeyGraph is visualizing a word map for keyword extraction.</p>
                <media xlink:href="jmir_v16i5e129_app1.pdf" xlink:title="PDF File (Adobe PDF File), 96KB" />
            </app>
        </app-group>
        <glossary>
            <title>Abbreviations</title>
            <def-list>
                <def-item>
                    <term id="abb1">dt</term>
                    <def>
                        <p>length of staggered time evaluating temporal correlation between sequences</p>
                    </def>
                </def-item>
                <def-item>
                    <term id="abb2">HPV</term>
                    <def>
                        <p>human papillomavirus</p>
                    </def>
                </def-item>
            </def-list>
        </glossary>
        <ack>
            <p>The authors thank Mr Takao Ozawa, Director of Civic Force, and Mr Yohei Kiguchi, CEO of Milog Inc, for their insightful comments. This study is supported by Grant-in-Aid for Scientific Research (No: 23590779).</p>
        </ack>
        <fn-group>
            <fn fn-type="conflict">
                <p>None declared.</p>
            </fn>
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