{"title":"Safeguarding the Journalistic DNA: Attitudes towards the Role of Professional Values in Algorithmic News Recommender Designs.","authors":"Mariella Bastian, Natali Helberger, Mykola Makhortykh","doi":"10.1080/21670811.2021.1912622","DOIUrl":"https://doi.org/10.1080/21670811.2021.1912622","url":null,"abstract":"<p><p>In contrast to the extensive debate on the influence of algorithmic news recommenders (ANRs) on individual news diets, the interaction between such systems and journalistic norms and missions remain under-studied. The change in the relationship between journalists and the audience caused by the transition to personalized news delivery has profound consequences for the understanding of what journalism should be. To investigate how media practitioners perceive the impact of ANRs on their professional norms and media organizations' missions, and how these norms and missions can be integrated into ANR design, this article looks at two quality newspapers from the Netherlands and Switzerland. Using an interview-based approach conducted with practitioners in different departments (e.g. journalists, data scientists, and product managers), it explores how ANRs interact with organization-centred and audience-centred journalistic values. The paper's findings indicate a varying degree of prominence for specific values between individual practitioners in the context of their perception of ANRs. At the same time, the paper also reveals that some organization-centred (e.g. transparency) and most audience-centred (e.g. usability) values are viewed as prerequisites for successful ANR design by practitioners with different professional backgrounds.</p>","PeriodicalId":93281,"journal":{"name":"Digital journalism (Abingdon, England)","volume":"9 6","pages":"835-863"},"PeriodicalIF":0.0,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21670811.2021.1912622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39382088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Message Features and Social Endorsements Affect the Longevity of News Sharing.","authors":"Hyun Suk Kim","doi":"10.1080/21670811.2020.1811742","DOIUrl":"https://doi.org/10.1080/21670811.2020.1811742","url":null,"abstract":"<p><p>This study examined how message features and social endorsements affect the longevity of audience news sharingby analyzing behavioral data of social retransmission of New York Timeshealth news articles, and associated article content and context data.The results showed that information utility-related message features increased the duration for which articlespromptedemail-based sharing, whereas emotional positivity and controversiality increased the longevity of social media-based sharing. Expressed emotional evocativeness and the absence of death-related words lengthened the duration for which articles prompted both email- and social media-based sharing. Newsretransmission, viaeither email or social media, was more likely to persist when the articles stayed on the \"most-emailed\" list for a longer time, showingsocial endorsement-driven cumulative advantage effects. The results further revealed synergistic interaction effects between social endorsements and message features. While social endorsements produced strong cumulative-advantage effects on the longevity of news sharing, articles with certain message features that are diagnostic of their inherent share-worthiness generated even stronger effects than those articles that appeared on the \"most-emailed\" list for the same amount of time but without such features. These features were expressed emotional evocativeness (email-based sharing), the absence of death-related words and exemplification (social media-based sharing).</p>","PeriodicalId":93281,"journal":{"name":"Digital journalism (Abingdon, England)","volume":"9 8","pages":"1162-1183"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21670811.2020.1811742","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39596650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}