Who Shared It?: Deciding What News to Trust on Social Media

Sterrett, David; Malato, Dan; Benz, Jennifer; Kantor, Liz; Tompson, Trevor; Rosenstiel, Tom; Sonderman, Jeff; Loker, Kevin

doi:10.1080/21670811.2019.1623702

Cited by 142 publications

(119 citation statements)

References 50 publications

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“…The sharing behaviour of "elites" or figures of authority can also affect which news stories social media users choose to share. Individuals, for example, tend to trust and share news articles promoted by the public officials that they support (Sterrett et al 2019).…”

Section: What Is False News?mentioning

confidence: 99%

Nudging Away False News: Evidence from a Social Norms Experiment

Andı

Akesson

2020

Digital Journalism

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Section: What Is False News?mentioning

confidence: 99%

Nudging Away False News: Evidence from a Social Norms Experiment

Andı

Akesson

2020

Digital Journalism

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“…This same survey also showed that 73% of the interviewees said that the most important thing in determining whether an article or report is reliable is to look at the source that published it; another 24% said it depends on who sent the news. A survey conducted between November and December 2016 in the United States contained similar results: almost 1,500 adults were included in this survey, their responses demonstrated that the public tends to trust content shared by public figures (Sterrett et al, 2019). According to the authors, the survey indicates there are two factors that influence opinions about what is shared on social network Maria Gehrke and Marcia Benetti DOI: 10.25200/BJR.v16n3.2020.1277 sites: 1) trust in the person who shares a particular story; and 2) the credibility of the news site that reports the story.…”

Section: -431mentioning

confidence: 65%

“…Not only do they find news media committed to producing and distributing truthful and accurate content, but they will also find unverified information, which may be spread by friends or even robots, the algorithms of which respond to certain types of triggers. There are a variety of events, sources, and reputations (Sterrett et al, 2019) that make it difficult to trace the origin of the information.…”

Section: -431mentioning

confidence: 99%

Twitter as a News Source in Data Journalism

Gehrke

Benetti

2020

BJR

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This paper discusses the use of Twitter as a news source, especially in data journalism. This practice uses public databases as sources for its investigations, but has now started to make use of less conventional sources, such as Twitter, which politicians now use as an official communication channel and thus avoid giving interviews to the press. In this study, we analyze news articles published over a period of a little less than two months by the data journalism team at Vortex Media. Our focus was on political coverage. Twitter may be classified as a reproductive or statistical documentary news sources, depending on the case. We argue that, by using this social networking site as a news source, data journalism could be able to provide new knowledge. Its limitations lie within the working order of the social network itself, which is highly mediated by algorithms and conditioned to spread disinformation.Este artigo discute o uso do Twitter como fonte, em especial no jornalismo guiado por dados. Conhecida por investigar a partir de bancos de dados públicos, esta prática tem acessado fontes menos convencionais, a exemplo da plataforma, à medida que os políticos a tratam como canal oficial de comunicação e evitam conceder entrevistas à imprensa. Neste estudo, analisamos notícias publicadas pela equipe de dados do site jornalístico Vortex Media em pouco menos de dois meses, observando que a cobertura política se destaca nesse contexto. O Twitter pode ser classificado como fonte documental do tipo reprodução ou estatística, dependendo do caso. Defendemos que o jornalismo guiado por dados tem potencial para promover conhecimento inédito a partir do uso desse site de rede social como fonte; suas limitações estão na própria condição da rede, mediada por algoritmos e propícia para o espalhamento de desinformação.Este artículo analiza el uso de Twitter como fuente, especialmente en el periodismo de datos. Conocido por investigar desde bases de datos públicas, esta práctica ha accedido a fuentes menos convencionales, como la plataforma, ya que los políticos la tratan como un canal oficial de comunicación y evitan dar entrevistas a la prensa. En este estudio, analizamos las noticias publicadas por el equipo de datos del sitio periodístico Vortex Media en poco menos de dos meses, señalando que la cobertura política se destaca en este contexto. Twitter puede clasificarse como fuente documental reproductiva o estadística, según el caso. Argumentamos que el periodismo de datos tiene el potencial de promover el conocimiento sin precedentes del uso de este sitio de redes sociales como fuente; sus limitaciones están en la condición de esta red, mediada por algoritmos y propicia para la difusión de la desinformación.

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“…Beyond low levels of media trust, other literatures suggest ways in which encounters with unfamiliar news sources might happen. Offsetting cues, such as social media recommendations, may help an unknown media source overcome its reputational disadvantage at the news exposure stage (Messing and Westwood 2014, Grinberg et al 2019, Sterrett et al 2019. Social media also creates opportunities for news exposure that is not driven by active considerations, but is instead incidental (Feezell 2018, Bakshy et al 2015, in some cases a process that might be aided by the targeted advertising some unfamiliar news sources engage in on social media platforms (Kim et al 2018).…”

Section: How Might Encounters With Unfamiliar Media Occur?mentioning

confidence: 99%

The Influence of Unknown Media on Public Opinion: Evidence from Local and Foreign News Sources

Peterson¹,

Allamong²

2021

Preprint

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In the Internet era people can encounter a vast array of political news outlets, many of which they are unfamiliar with. These unknown media outlets are notable because they represent potential sources of misinformation and coverage with a distinctive slant. We use a large survey experiment to consider how source familiarity influences political communication. While this demonstrates the public is averse to consuming news from unfamiliar media, we show that—conditional on exposure to them—unknown local and foreign media sources can influence public opinion to an extent similar to established mainstream news outlets on the same issues. This comparable effectiveness stems from the public’s charitable evaluations of the credibility of unfamiliar news sources and their relatively low trust in familiar mainstream media. We find avoidance of unknown news outlets, not resistance to their coverage, is the key factor limiting their political influence.

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Who Shared It?: Deciding What News to Trust on Social Media

Cited by 142 publications

References 50 publications

Nudging Away False News: Evidence from a Social Norms Experiment

Nudging Away False News: Evidence from a Social Norms Experiment

Twitter as a News Source in Data Journalism

The Influence of Unknown Media on Public Opinion: Evidence from Local and Foreign News Sources

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