2020
DOI: 10.1080/08874417.2020.1762260
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Understanding Social Media Monitoring and Online Rumors

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Cited by 7 publications
(3 citation statements)
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“…Kottler and Keller state that social media is used by someone to share text, images, sound, video, and information with other parties (Kottler & Keller, 2016). Meanwhile, the de nition of social media is media that someone uses for social interaction or social online by displaying content, news, photos, and so on to other parties (Kim et al, 2021; Polanco-Levicán & Salvo-Garrido, 2022; Taprial & Kanwar, 2012). Another understanding from Thaib is that social media is a process of connection between people to create, share, exchange, and modify ideas in a network (Thaib, 2021).…”
Section: Social Mediamentioning
confidence: 99%
“…Kottler and Keller state that social media is used by someone to share text, images, sound, video, and information with other parties (Kottler & Keller, 2016). Meanwhile, the de nition of social media is media that someone uses for social interaction or social online by displaying content, news, photos, and so on to other parties (Kim et al, 2021; Polanco-Levicán & Salvo-Garrido, 2022; Taprial & Kanwar, 2012). Another understanding from Thaib is that social media is a process of connection between people to create, share, exchange, and modify ideas in a network (Thaib, 2021).…”
Section: Social Mediamentioning
confidence: 99%
“…Kumar et al (2023) developed a hybrid framework based on machine learning algorithms to detect spam on this platform. Kim et al (2020) conducted empirical research by spreading rumors on social media and observing the reactions of firm employees.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, most previous studies have only considered information distortion in the initial WOM transmission, i.e., the dyadic interaction between the original sender and the first receiver. The widespread use of social network services and other online media channels has dramatically increased the strategic importance of WOM (Kim et al, 2021 ). Moreover, multiple-dyad WOM, where countless senders and receivers have interactions, has become more common in new media channels (Chen & Yuan, 2020 ; Mendoza et al, 2010 ; Stoica, 2020 ; Wang et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%