Bad news travel fast

Naveed, Nasir; Gottron, Thomas; Kunegis, Jérôme; Alhadi, Arifah Che

doi:10.1145/2527031.2527052

Cited by 264 publications

(47 citation statements)

References 10 publications

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“…Hashtags facilitate formation of ad-hoc groups interested in specific topics or events 42 and are positively associated with audience engagement (i.e., retweeting). 43,44 We used online tools (e.g., hashtagify.me) to identify hashtags specific to childhood obesity and found two: #childhoodobesity and #childobesity. Due to low use of #childobesity, we selected #childhoodobesity as our only search term.…”

Section: Methodsmentioning

confidence: 99%

Communication About Childhood Obesity on Twitter

Harris

Moreland-Russell²,

Tabak³

et al. 2014

Am J Public Health

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Objectives Childhood obesity more than doubled in the last 20 years, suggesting a need for evidence-based public health strategies. The use of social media to share health information is increasing among the public and public health professionals. However, little is known about the use of social media as a tool for health communication. We used a mixed-methods design to examine communication about childhood obesity on Twitter. Methods NodeXL was used to collect tweets sent in June 2013 containing the hashtag #childhoodobesity. Tweets were coded for content; tweeters were classified by sector and health focus. The network of follower connections among the tweeters was also collected. We used descriptive statistics and exponential random graph modeling to examine tweet content, tweeter characteristics, and the composition and structure of the network of connections facilitating communication among the tweeters. Results We collected 1,110 tweets originating from 576 unique Twitter users. More individuals (65.6%) than organizations (32.9%) tweeted. Tweets were more likely to focus on individual behavior than environment or policy as a cause of, and strategy to combat, childhood obesity. Few government and educational tweeters were in the network. Network members affiliated with government and media were more likely than private individuals to be followed by others in the network, suggesting an important dissemination role. Conclusion There is an opportunity to better disseminate evidence-based information to a broad audience through Twitter by increasing the presence of credible sources in the #childhoodobesity conversation and focusing the content of tweets on scientific evidence.

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Section: Methodsmentioning

confidence: 99%

Communication About Childhood Obesity on Twitter

Harris

Moreland-Russell²,

Tabak³

et al. 2014

Am J Public Health

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“…Albeit, another surprising outcome is that actively using Twitter was related to lower satisfaction with life (H4 partially supported). Previous studies have shown that negative messages are shared faster on Twitter (Naveed, Gottron, Kunegis, & Alhadi, 2011) and that popular events on Twitter are associated with negative emotions (Thelwall, Buckley, & Paltoglou, 2011). Recently, Waterloo, Baumgartner, Peter and Valkenburg (2018) showed than negative emotions are perceived as more appropriate on Facebook and Twitter compared to Instagram.…”

Section: Various Snss and Well-being 14mentioning

confidence: 99%

Don’t put all social network sites in one basket: Facebook, Instagram, Twitter, TikTok, and their relations with well-being during the COVID-19 pandemic.

Masciantonio¹,

Bourguignon²,

Bouchat³

et al. 2020

Preprint

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Prior studies indicated that actively using social network sites (SNSs) is positively associated with well-being by enhancing social support and feelings of connectedness. Conversely, passively using SNSs is negatively associated with well-being by fostering upward social comparison and envy. However, the majority of these studies has focused on Facebook. The present research examined the relationships between well-being and using actively or passively various SNSs (Facebook, Instagram, Twitter and TikTok) during the COVID-19 pandemic. In addition, two mediators were tested: social support and upward social comparison. Eight hundred and twenty-three persons completed an online survey during the quarantine measures. Analyzes employed structural equation modeling. Results showed that passive usage of Facebook is negatively related to well-being through upward social comparison, whereas active usage of Instagram is positively related to satisfaction with life and negative affects through social support. However, TikTok use was not associated with well-being and the only significant relation for Twitter was between active usage and lower satisfaction with life. Results are discussed in line with SNSs’ architectures and user’s motivations. This study concludes that SNSs must be differentiated to truly understand how they shape human interactions.

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“…The "retweet" functionality and the retweet counter can be considered as a factor for measuring the "interestingness" of a user's tweets [33]. Based on that, the resulting spread of information is examined in [11].…”

Section: Diffusion-oriented Approachesmentioning

confidence: 99%

Modeling Influence with Semantics in Social Networks

2020

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The discovery of influential entities in all kinds of networks (e.g. social, digital, or computer) has always been an important field of study. In recent years, Online Social Networks (OSNs) have been established as a basic means of communication and often influencers and opinion makers promote politics, events, brands or products through viral content. In this work, we present a systematic review across i) online social influence metrics, properties, and applications and ii) the role of semantic in modeling OSNs information. We found that both areas can jointly provide useful insights towards the qualitative assessment of viral user-generated content, as well as for modeling the dynamic properties of influential content and its flow dynamics.

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Bad news travel fast

Cited by 264 publications

References 10 publications

Communication About Childhood Obesity on Twitter

Communication About Childhood Obesity on Twitter

Don’t put all social network sites in one basket: Facebook, Instagram, Twitter, TikTok, and their relations with well-being during the COVID-19 pandemic.

Modeling Influence with Semantics in Social Networks

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