The World of Connections and Information Flow in Twitter

Cha, Meeyoung; Benevenuto, Fabr ́ icio; Haddadi, Hamed; Gummadi, Krishna P.

doi:10.1109/tsmca.2012.2183359

Cited by 107 publications

(22 citation statements)

References 7 publications

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“…In addition, key stakeholders, such as policymakers and elite organizations, have leveraged Twitter to amplify the outreach of traditional forms of communication [e.g., Golbeck, Grimes and Rogers, 2010]. Journalists, activists, and interest groups also use Twitter to reach out to target audiences and initiate conversations under different hashtags [Cha et al, 2012;Papacharissi and Fatima Oliveira, 2012].…”

Section: Introductionmentioning

confidence: 99%

Tweeting disaster: an analysis of online discourse about nuclear power in the wake of the Fukushima Daiichi nuclear accident

Li¹,

Akin²,

Su³

et al. 2016

JCOM

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Of all the online information tools that the public relies on to collect information and share opinions about scientific and environmental issues, Twitter presents a unique venue to assess the spontaneous and genuine opinions of networked publics, including those about a focusing event like the Fukushima Daiichi nuclear accident following the 2011 Tohoku earthquake and tsunami. Using computational linguistic algorithms, this study analyzes a census of English-language tweets about nuclear power before, during, and after the Fukushima nuclear accident. Results show that although discourse about the event may have faded rapidly from the news cycle on traditional media, it evoked concerns about reactor safety and the environmental implications of nuclear power, particularly among users in U.S. states that are geographically closer to the accident site. Also, while the sentiment of the tweets was primarily pessimistic about nuclear power weeks after the accident, overall sentiment became increasingly neutral and uncertain over time. This study reveals there is a group of concerned citizens and stakeholders who are using online tools like Twitter to communicate about global and local environmental and health risks related to nuclear power. The implications for risk communication and public engagement strategies are discussed. AbstractEnvironmental communication; Public perception of science and technology; Representations of science and technology

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Section: Introductionmentioning

confidence: 99%

Tweeting disaster: an analysis of online discourse about nuclear power in the wake of the Fukushima Daiichi nuclear accident

Li¹,

Akin²,

Su³

et al. 2016

JCOM

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“…Twitter is also characterized by a hierarchical structure [6] where few popular users have a large number of followers and act as information brokers [7] disseminating information to the bulk of the Twitter network. Thus, Twitter plays 2 roles: (1) news media outlet spreading information in a one-to-many mode with most users on the receiving side and (2) social networking site where people connect and interact in a one-to-one communication pattern [8]. Differences by country and culture were reported regarding which pattern prevails, and this may affect the number of users reached in a network [6].…”

Section: Introductionmentioning

confidence: 99%

Reach of Messages in a Dental Twitter Network: Cohort Study Examining User Popularity, Communication Pattern, and Network Structure

et al. 2018

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BackgroundIncreasing the reach of messages disseminated through Twitter promotes the success of Twitter-based health education campaigns.ObjectiveThis study aimed to identify factors associated with reach in a dental Twitter network (1) initially and (2) sustainably at individual and network levels.MethodsWe used instructors’ and students’ Twitter usernames from a Saudi dental school in 2016-2017 and applied Gephi (a social network analysis tool) and social media analytics to calculate user and network metrics. Content analysis was performed to identify users disseminating oral health information. The study outcomes were reach at baseline and sustainably over 1.5 years. The explanatory variables were indicators of popularity (number of followers, likes, tweets retweeted by others), communication pattern (number of tweets, retweets, replies, tweeting/ retweeting oral health information or not). Multiple logistic regression models were used to investigate associations.ResultsAmong dental users, 31.8% had reach at baseline and 62.9% at the end of the study, reaching a total of 749,923 and dropping to 37,169 users at the end. At an individual level, reach was associated with the number of followers (baseline: odds ratio, OR=1.003, 95% CI=1.001-1.005 and sustainability: OR=1.002, 95% CI=1.0001-1.003), likes (baseline: OR=1.001, 95% CI=1.0001-1.002 and sustainability: OR=1.0031, 95% CI=1.0003-1.002), and replies (baseline: OR=1.02, 95% CI=1.005-1.04 and sustainability: OR=1.02, 95% CI=1.004-1.03). At the network level, users with the least followers, tweets, retweets, and replies had the greatest reach.ConclusionsReach was reduced by time. Factors increasing reach at the user level had different impact at the network level. More than one strategy is needed to maximize reach.

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“…As in modern small communities in the non-Western world, social learning was strategically directed towards familiar experts or best-informed members [11,12]. In an age deluged by information, options and social influences, however, the dynamics of collective decisions are becoming uncertain, especially if people crowdsource their decisions to artificial intelligences that rely heavily on copying recent popular decisions [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Collective behaviour, uncertainty and environmental change

Bentley

O’Brien

2015

Phil. Trans. R. Soc. A.

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A central aspect of cultural evolutionary theory concerns how human groups respond to environmental change. Although we are painting with a broad brush, it is fair to say that prior to the twenty-first century, adaptation often happened gradually over multiple human generations, through a combination of individual and social learning, cumulative cultural evolution and demographic shifts. The result was a generally resilient and sustainable population. In the twenty-first century, however, considerable change happens within small portions of a human generation, on a vastly larger range of geographical and population scales and involving a greater degree of horizontal learning. As a way of gauging the complexity of societal response to environmental change in a globalized future, we discuss several theoretical tools for understanding how human groups adapt to uncertainty. We use our analysis to estimate the limits of predictability of future societal change, in the belief that knowing when to hedge bets is better than relying on a false sense of predictability.

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The World of Connections and Information Flow in Twitter

Cited by 107 publications

References 7 publications

Tweeting disaster: an analysis of online discourse about nuclear power in the wake of the Fukushima Daiichi nuclear accident

Tweeting disaster: an analysis of online discourse about nuclear power in the wake of the Fukushima Daiichi nuclear accident

Reach of Messages in a Dental Twitter Network: Cohort Study Examining User Popularity, Communication Pattern, and Network Structure

Collective behaviour, uncertainty and environmental change

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