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Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking
Wiley | 2020|Keywords: fake news, news media -
Mobile but Not Mobilized? Differential Gains from Mobile News Consumption for Citizens’ Political Knowledge and Campaign Participation
Free accessTaylor & Francis Verlag | 2020|Keywords: Mobile news, social media news, news effects -
Why do we click? Investigating reasons for user selection on a news aggregator website
DeGruyter | 2019|Keywords: news aggregator website, news selection, news factors, news values -
Trends in combating fake news on social media – a survey
Free accessTaylor & Francis Verlag | 2021|Keywords: Fake news, fake news detection, fake news types -
The Local News Story: Is Quality a Choice?
Taylor & Francis Verlag | 2008|Keywords: local news, news quality, news ratings, television news -
The spread of the Kremlin’s narratives by a western news agency during the Ukraine crisis
Taylor & Francis Verlag | 2017|Keywords: news agencies, online news, news flow -
Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers
Online Contents | 2020|Keywords: News, News schemata -
America's Global Standing According to Popular News Sites From Around the World
Taylor & Francis Verlag | 2013|Keywords: news sites, news flow, international news, news prominence, news links -
Effects of News Factors on Users’ News Attention and Selective Exposure on a News Aggregator Website
Free accessTaylor & Francis Verlag | 2021|Keywords: News selection, news attention, news factors, news cues, news aggregator website -
News and user characteristics used by personalized algorithms: The case of Korea's news aggregators, Naver News and Kakao News
Elsevier | 2021|Keywords: News aggregators, News characteristics, News user characteristics, News content similarity, News source similarity -
“If Nobody Gives a Shit, is it Really News?”
Taylor & Francis Verlag | 2017|Keywords: news production, news standards, news values -
Improved TFIDF in big news retrieval: An empirical study
Elsevier | 2016|Keywords: Big news, News classification, News clustering -
Following and Avoiding Fear-Inducing News Topics: Fear Intensity, Perceived News Topic Importance, Self-Efficacy, and News Overload
Taylor & Francis Verlag | 2021|Keywords: News avoidance, following news, news overload, news consumption, fear-inducing news topics -
Analyzing and predicting news popularity on Twitter
Elsevier | 2015|Keywords: Social news media, News popularity prediction -
The Effect of Digital Platforms on News Audience Behavior
Taylor & Francis Verlag | 2018|Keywords: mobile news, news production -
News consumption of hard and soft topics in Spain: Sources, formats and access routes
DeGruyter | 2020|Keywords: online news, news consumption, hard news, soft news, news access routes -
An effective fake news detection method using WOA-xgbTree algorithm and content-based features
Elsevier | 2021|Keywords: Fake news, Fake news detection, Online fake news -
Reading a Snippet on a News Aggregator vs. Clicking through the Full Story: Roles of Perceived News Importance, News Efficacy, and News-Finds-Me Perception
Taylor & Francis Verlag | 2022|Keywords: News aggregator, news scanning, perceived news importance, news efficacy, news-finds-me perception -
Being my own gatekeeper, how I tell the fake and the real – Fake news perception between typologies and sources
Elsevier | 2022|Keywords: Fake news, News sources, Correction news, Conspiracy news
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