To Share or Not to Share

García-Perdomo, Víctor; Salaverría, Ramón; Kilgo, Danielle K.; Harlow, Summer

doi:10.1080/1461670x.2016.1265896

Cited by 128 publications

(49 citation statements)

References 38 publications

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“…This practice results in changes in what news readers will see on social media. For example, García-Perdomo, Salaverría, Kilgo, and Harlow (2018) showed that odd topics are prevalent on news organizations' Twitter accounts, and that news paraphrases to which Twitter users are exposed have writing styles that differ from traditional news writing (Welbers & Opgenhaffen, 2018a).…”

Section: Social Media As a News Distribution Platformmentioning

confidence: 99%

“…The decisions about what to share also imply its flip side decisions about what not to share (García-Perdomo et al, 2018). Indeed, as the recent TOW Center's analysis about how news organizations upload posts on different social media platforms (Rashidian et al, 2018) shows that they share far fewer than all the news stories they publish.…”

Section: News Link Sharing On Social Media As Gatekeepingmentioning

confidence: 99%

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News Organizations’ Selective Link Sharing as Gatekeeping: A Structural Topic Model Approach

Pak¹

2019

Preprint

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To disseminate their stories efficiently via social media, news organizations make decisionsthat resemble traditional editorial decisions. However, the decisions for social media maydeviate from traditional ones because they are often made outside the newsroom and guidedby audience metrics. This study focuses on selective link sharing as quasi-gatekeeping onTwitter – conditioning a link sharing decision about news content. It illustrates how selectivelink sharing resembles and deviates from gatekeeping for the publication of news stories.Using a computational data collection method and a machine learning technique calledStructural Topic Model (STM), this study shows that selective link sharing generates adifferent topic distribution between news websites and Twitter and thus significantly revokesthe specialty of news organizations. This finding implies that emergent logic, which governsnews organizations’ decisions for social media can undermine the provision of diverse news,which relies on journalistic values and norms.

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Section: Social Media As a News Distribution Platformmentioning

confidence: 99%

Section: News Link Sharing On Social Media As Gatekeepingmentioning

confidence: 99%

News Organizations’ Selective Link Sharing as Gatekeeping: A Structural Topic Model Approach

Pak¹

2019

Preprint

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“…Therefore, we can highlight that there is a balance on this case among entertainment, social and political themes. Despite the aim of calling public attention by the use of entertainment and curiosities, which interferes on the choice of themes to be published on SNSs (García-Perdomo et al, 2017;Trilling et al, 2017;Johnson, 2015), this newspaper do not disconnects from the social and political context to which it is attached. This means two points: a) posts on curiosities are not the only that matters (even though they are 'click catchers'); b) entertainment linked to local/regional appeal also call the audience's attention, so newspapers invest on this kind of content on their Facebook fan pages.…”

Section: Graph 3 -Distribution Of Themes: Meio Nortementioning

confidence: 99%

Journalism on Social Media: Different Profiles of Journalistic Content on the Facebook Pages of Brazilian Newspapers

Massuchin

Tavares

Borges

2019

BJR

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This work aims to present a typology of uses of social media by Brazilian traditional newspapers, by analyzing their journalistic content. The research observed 9,993 posts from nine regional newspapers on their Facebook fan pages. We use a quantitative approach through a content analysis of the posts about news collected. Due to the migration to a digital version, many newspapers have used social media as tools for spreading journalistic content. However, the strategies to occupy these spaces are diverse and the enterprises evoke different themes to call the public’s attention, which allows the creation of a typology of different uses of social media. The results show five different profiles of journalistic content on newspapers’ social media, which vary from politicized fan pages to those focused almost exclusively on entertainment. Este artigo tem por objetivo apresentar uma tipologia dos usos que os jornais impressos brasileiros fazem das redes sociais digitais, a partir do conteúdo jornalístico. A pesquisa é feita tendo como base 9.993 postagens realizadas por nove veículos regionais brasileiros em suas fanpages do Facebook. Trata-se de uma abordagem quantitativa, a partir da análise de conteúdo das notícias coletadas. Com a migração para uma versão digital, muitos passaram a utilizar as redes sociais como ferramenta para distribuir conteúdo jornalístico. Porém, as estratégias para ocupar este espaço são diferentes e os veículos exploram de variados temas para chamar a atenção, o que permite a criação de uma tipologia de usos distintos das redes sociais. Os resultados mostram que há, pelo menos, cinco diferentes perfis de conteúdo jornalístico nas redes sociais dos jornais pesquisados, que variam desde fanpages politizadas até aquelas voltadas quase que exclusivamente para o entretenimento. Este artículo busca presentar una tipología de los usos que los periódicos impresos brasileños hacen de las redes sociales, a partir del contenido periodístico. La investigación analiza 9993 posts hechos a lo largo de 45 días por nueve vehículos regionales brasileños en sus fanpages en Facebook. El abordaje metodológico posee un enfoque cuantitativo, teniendo por base el análisis de contenido de las noticias recogidas. Con la migración de los periódicos a una versión digital, muchos de ellos pasaron a utilizar las redes sociales como herramienta para distribuir contenido periodístico. Sin embargo, las estrategias para ocupar este espacio son diferentes entre los medios, los cuales exploran temáticas variadas para llamar la atención, lo que permite la creación de una tipología de usos distintos de las redes sociales. Los resultados muestran que hay al menos cinco diferentes perfiles de contenido periodístico en las redes sociales de los periódicos investigados, que varían desde fanpages politizadas hasta aquellas que se dirigen casi exclusivamente al entretenimiento.

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“…Communication scientists have started to investigate the so-called "shareworthiness" of a news story: features of an online news article (such as its novelty, tone, the actors involved, etc.) that help predicting the number of shares an article will receive [9,36,37]. Yet, such content features are not the only features to consider to understand what explains engagement with online news and information.…”

Section: Introductionmentioning

confidence: 99%

Opening the black box of perceived quality: Predicting endorsement on a blog site

Sotirakou

Trilling

Germanakos

et al. 2019

IEEE/WIC/ACM International Conference on Web Intelligence

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Uncovering their readers' perceptions is of key importance for every news media organization to find methods to improve the quality of their product. It has the potential to facilitate journalists' work in attracting attention and gaining a loyal audience. Discovering which elements of a news story influence readers' perceptions has been a cross-disciplinary research goal for the past years, because it can play a crucial role in news dissemination and consumption in the digital age. Drawing upon literature in the various areas such as journalism, psychology, computer science, and AI, this paper proposes a machine learning approach that explores three dimensions of article features that can help predicting the online behavior of the reader. Results show that how the story is written, the topic, and certain aspects of the author's online reputation can affect reader endorsements and the perceived quality of an article. CCS CONCEPTS • Computing methodologies → Natural language processing; • Applied computing → Document management and text processing.

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To Share or Not to Share

Cited by 128 publications

References 38 publications

News Organizations’ Selective Link Sharing as Gatekeeping: A Structural Topic Model Approach

News Organizations’ Selective Link Sharing as Gatekeeping: A Structural Topic Model Approach

Journalism on Social Media: Different Profiles of Journalistic Content on the Facebook Pages of Brazilian Newspapers

Opening the black box of perceived quality: Predicting endorsement on a blog site

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