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          <titl xml:lang="en">AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition)</titl>
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        <titl xml:lang="en">AUTNES Content Analysis of Party Newspaper Ads 2017 (SUF edition)</titl>
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        <AuthEnty affiliation="University of Vienna" xml:lang="en">Müller, Wolfgang C.
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Bodlos, Anita
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Ennser-Jedenastik, Laurenz
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Graf, Elisabeth
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Haselmayer, Martin
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Haudum, Teresa
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Huber, Lena Maria
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Meyer, Thomas M.
        </AuthEnty><AuthEnty affiliation="University of Vienna" xml:lang="en">Reidinger, Verena
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        <grantNo agency="Austrian Science Fund (FWF)" xml:lang="en">S10903-G11</grantNo><grantNo agency="Austrian Cooperative Infrastructure for Electoral Research (ACIER)" xml:lang="en">n/a</grantNo>
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        <distrbtr xml:lang="en">AUSSDA</distrbtr><distrbtr xml:lang="en">The Austrian Social Science Data Archive</distrbtr>
        <distDate xml:lang="en" date="2021-09-14"/>
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        <keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Elections</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Election campaigns</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Electoral issues</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Parliamentary elections</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Political, social and economic issues</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Political behaviour</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Political parties</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Political representation</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Content analysis</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Government</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Opposition parties</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Party politics</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id">Political party policies</keyword><keyword xml:lang="en" vocab="ELSST - The European Language Social Science Thesaurus" vocabURI="https://elsst.cessda.eu/id">Press advertising</keyword>
        <topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Government, political systems and organisations</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Elections</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=2.0&amp;lang=en">Political behaviour and attitudes</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification">Political ideology</topcClas>
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      <abstract xml:lang="en">Full edition for scientific use. The AUTNES dataset on party newspaper ads 2017 contains data on advertisements published in Austria's leading newspapers (Der Standard, Die Presse, Heute, Kleine Zeitung, Kronen Zeitung, Kurier, Österreich, Salzburger Nachrichten) within the last six weeks before the 2017 national election. The coding procedure applies the AUTNES relational approach of recording subjects, objects, and predicates for actors to newspaper ads. The subject is the organisation sponsoring the ad. There are two types of objects: issues and object actors. Issues are recorded by coders selecting from the AUTNES issue coding scheme the dominant issue of the ad. Regarding object actors, we distinguish between “friends” (any individual or organisation positively mentioned in the ad apart from the advertiser) and “opponents” (any individual or organisation negatively mentioned in the ad). Up to five friends and opponents were coded per ad, each with their name (if an individual is present), organisational affiliation and appearance on the ad or poster (text only, text and image, image only). In addition, we code whether the ads included testimonials and advertising for preference votes. Variables: type of advertising medium (newspaper ad); source (title of publication); date on which the ad was published; position; number of page that features the ad; horizontal and vertical size of the ad in centimeters; name of the organisation (parties and ancillary oganisations) sponsoring the ad; organisations summarized into political parties; design; type of ad (classical ad, announcement); ad includes a testimonial; main issue in ad; actors: up to five ‘friends’ (any individual or organisation positively mentioned in the ad) and ‘opponents’ (any individual or organisation negatively mentioned in the ad) were coded: name of friend / opponent (individual or organisation) mentioned in the ad, presentation in the ad (text only, text and image, image only); name of candidate advertising for a preference vote; party affiliation of candidate advertising for a preference vote; URL of first, second and third website mentioned; name of Facebook presence, if mentioned. Additionally coded was: individual identification number for each observation.</abstract>
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