Utilizing Bots for Sustainable News Business: Understanding Users’ Perspectives of News Bots in the Age of Social Media
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- Matteo Cinelli & Emanuele Brugnoli & Ana Lucia Schmidt & Fabiana Zollo & Walter Quattrociocchi & Antonio Scala, 2020. "Selective exposure shapes the Facebook news diet," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-17, March.
- Massimo Stella & Emilio Ferrara & Manlio De Domenico, 2018. "Bots increase exposure to negative and inflammatory content in online social systems," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(49), pages 12435-12440, December.
- Alexandre Bovet & Hernán A. Makse, 2019. "Influence of fake news in Twitter during the 2016 US presidential election," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
- Andreas Veglis & Theodora A. Maniou, 2019. "Chatbots on the Rise: A New Narrative in Journalism," Studies in Media and Communication, Redfame publishing, vol. 7(1), pages 1-6, June.
- Chengcheng Shao & Giovanni Luca Ciampaglia & Onur Varol & Kai-Cheng Yang & Alessandro Flammini & Filippo Menczer, 2018. "The spread of low-credibility content by social bots," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
- Yu-Hsi Yuan & Sang-Bing Tsai & Chien-Yun Dai & Hsiao-Ming Chen & Wan-Fei Chen & Chia-Huei Wu & Guodong Li & Jiangtao Wang, 2017. "An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-22, September.
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- Yunju Kim & Heejun Lee, 2021. "Towards a Sustainable News Business: Understanding Readers’ Perceptions of Algorithm-Generated News Based on Cultural Conditioning," Sustainability, MDPI, vol. 13(7), pages 1-14, March.
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Keywords
news bots; self-efficacy; prevalence of bot news; social media bots; social media news; sustainable news business;All these keywords.
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