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          <given>Iona</given>
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          <given>Adam</given>
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          <given>Joanne</given>
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        <orcid>0000-0002-5522-7101</orcid>
        <affiliation>University of Bath</affiliation>
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    <title>Dataset for &quot;Identifying misleading corporate narratives: The application of linguistic and qualitative methods to commercial determinants of health research&quot;</title>
    <subjects>
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    <abstract>This dataset concerns the language used by Philip Morris international (PMI) in their external communications. The dataset was collected in order to identify patterns in language used in different corporate communications. 

This dataset includes Annual Reports, Investor reports, Investor day slide decks, transcripts and reports. It is a record of the inductive coding conducted for this project.

The dataset contains the final codebook, which was agreed and approved by all coders.</abstract>
    <date>2022-10-24</date>
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        <funder_name>Bloomberg Philanthropies</funder_name>
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      </item>
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      <item>tobacco_control</item>
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    <collection_method>We developed a mixed-methods protocol blending methods and tools from corpus linguistics (CL) with inductive coding methods. For the “investor” targeted communications, we sampled annual and investor reports and presentations to shareholders, which included any associated slides and scripts. For the “wider audience” targeted communications, we sampled corporate webpages, and corporate YouTube videos.
Annual reports, investor reports and presentations to shareholders were accessed and downloaded via PMI’s investor web pages. The sample of corporate webpages was downloaded manually according to a sampling filter developed specifically for this research. Corporate YouTube videos were accessed directly through PMI’s dedicated account. Automatically generated audio transcripts available from YouTube videos on a single playlist, titled “Inside Us” were saved in NVivo and checked for accuracy by IF, to allow for qualitative coding. Annual and investor reports were downloaded from PMI&apos;s website. 
Webpage sampling
As there was no site map readily available through PMI&apos;s website, we used a freely available online site mapping tool (xml-sitemaps.com) to generate an XML site map for www.pmi.com and sampled webpages according to the underlying logic of the page hierarchy. This sample consisted of pages at the “top” level (for example, www.pmi.com) and any pages nested under “home”, “investor relations”, “our business” or “who are we”. Target pages were captured using NVivo and Greenshot, and archived using WayBack Machine.</collection_method>
    <techinfo>Coded in NVivo release 1.5.1 (940). QSR International. Subject to license agreement. File converted to permit reading in latest version of NVivo - release 1.6.1 (1137).
SketchEngine (https://www.sketchengine.eu/) was used for Corpus Analysis. Subject to licence agreement. (UoB licence not active as of 01/09/2022)</techinfo>
    <collection_date>
      <date_from>2019-07-01</date_from>
      <date_to>2019-09-01</date_to>
    </collection_date>
    <temporal_cover>
      <date_from>2012-01-01</date_from>
      <date_to>2019-12-31</date_to>
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    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01117</doi>
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        <type>pub</type>
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    <access_arrangements>Data files created for this research may be accessed on reasonable request by academics and other bona fide researchers.</access_arrangements>
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