Why I Retweet? Exploring Users Perspective on Decision-Making of Information Spreading during Disasters

Abdullah, Nurhayati; Nishioka, Dai; Tanaka, Yuko; Murayama, Yuko

doi:10.24251/hicss.2017.053

Cited by 27 publications

(23 citation statements)

References 34 publications

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“…The results indicate that more users tend to gather and share information from other online users (rather than replying to posts) during the disruptive event. Although reply and mentions also contribute to network growth on social media in normal situations, as reported in existing studies (Abdullah et al 2017;Kogan et al 2015;Metaxas et al 2015a), we find that the primary activity contributing to network growth in crises situations is sharing. In crisis situations, people actively search for situational information and when they find useful information, they tend to share it.…”

Section: Types Of Activitiessupporting

confidence: 68%

Characterizing reticulation in online social networks during disasters

et al. 2020

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Online social network has become a new form of infrastructure for communities in spreading situational information in disasters. Developing effective interventions to improve the network performance of information diffusion is essential for people to rapidly retrieve information in coping with disasters and subsequent disruptions. Existing studies have investigated multiple aspects of online social networks in stationary situations and a separate manner. However, the networks are dynamic and different properties of the networks are co-related in the evolving disaster situations. In particular, disaster events motivate people to communicate online, create and reinforce their connections, and lead to a dynamic reticulation of the online social networks. To understand the relationship among these elements, we proposed an Online Network Reticulation (ONR) framework to examine four modalities (i.e., enactment, activation, reticulation, and network performance) in the evolution of online social networks to analyze the interplays among disruptive events in disasters, user activities, and information diffusion performance on social media. Accordingly, we examine the temporal changes in four elements for characterization of reticulation: activity timing, activity types (post, share, reply), reticulation mechanism (creation of new links versus reinforcement of existing links), and structure of communication instances (self-loop, converging, and reciprocal). Finally, the aggregated effects of network reticulation, using attributed network-embedding approach, are examined in the average latent distance among users as a measure of network performance for information propagation. The application of the proposed framework is demonstrated in a study of network reticulation on Twitter for a built environment disruption event during 2017 Hurricane Harvey in Houston. The results show that the main underlying mechanism of network reticulation in evolving situations was the creation of new links by regular users. The main structure for communication instances was converging, indicating communication instances driven by information-seeking behaviors in the wake of a disruptive event. With the evolution of the network, the proportion of converging structures to self-loop and reciprocal structures did not change significantly, indicating the existence of a scaleinvariance property for network structures. The findings demonstrate the capability of the proposed online network reticulation framework for characterizing the complex relationships between events, activities, and network performance in online social networks during disasters.

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Section: Types Of Activitiessupporting

confidence: 68%

Characterizing reticulation in online social networks during disasters

et al. 2020

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“…This is consistent with our findings in that the proportion of anxiety retweets was double that of the raw tweets. Abdullah, Nishioka, Tanaka, and Murayama (2017) found that a tweet is more likely to get retweeted if the information in a tweet is seen as credible, important, interesting, or could garner a high amount of interest or further retweets. As a result, social media hype is generated.…”

Section: Discussionmentioning

confidence: 99%

Emotions in Social Media: An Analysis of Tweet Responses to MH370 Search Suspension Announcement

Yeo

Pang

Cheong

et al. 2019

International Journal of Business Communication

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Considered one of the deadliest incidents in the history of aviation crises and labelled a “continuing mystery,” the ongoing search for the missing Malaysia Airlines Flight 370 offers no closure. With endless media attention, and negative reactions of stakeholders to every decision made by the airline, this study investigates the types of emotions found in social media posted by publics to the MH370 search suspension announcement. It content analyzed 5,062 real-time tweet messages guided by the revised integrated crisis mapping model. Our findings indicated that, in addition to the four original emotions posited, there was a fifth emotion because of the long-drawn crisis and only two dominant emotions were similar to the model. A redrawn version to better encapsulate all the emotions is offered for one quadrant in the model. Implications for both crisis communication scholarship and the importance of social listening for organizations are discussed.

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“…In the context of SMN, users might, for instance, want to provide others with timely and presumably relevant information about an uncertain event, such as a natural disaster (e.g., Abdullah et al 2017;. Biased agents' behavior can thus be interpreted as a function of their individual motives rather than as attempts to achieve some sort of collective outcome, and without implying a normative judgment.…”

Section: Model Formulationmentioning

confidence: 99%

Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter

Eismann

2021

J Bus Econ

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Social media networks (SMN) such as Facebook and Twitter are infamous for facilitating the spread of potentially false rumors. Although it has been argued that SMN enable their users to identify and challenge false rumors through collective efforts to make sense of unverified information—a process typically referred to as self-correction—evidence suggests that users frequently fail to distinguish among rumors before they have been resolved. How users evaluate the veracity of a rumor can depend on the appraisals of others who participate in a conversation. Affordances such as the searchability of SMN, which enables users to learn about a rumor through dedicated search and query features rather than relying on interactions with their relational connections, might therefore affect the veracity judgments at which they arrive. This paper uses agent-based simulations to illustrate that searchability can hinder actors seeking to evaluate the trustworthiness of a rumor’s source and hence impede self-correction. The findings indicate that exchanges between related users can increase the likelihood that trustworthy agents transmit rumor messages, which can promote the propagation of useful information and corrective posts.

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Why I Retweet? Exploring Users Perspective on Decision-Making of Information Spreading during Disasters

Abstract: Abstract

Cited by 27 publications

References 34 publications

Characterizing reticulation in online social networks during disasters

Characterizing reticulation in online social networks during disasters

Emotions in Social Media: An Analysis of Tweet Responses to MH370 Search Suspension Announcement

Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter

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Why I Retweet? Exploring Users Perspective on Decision-Making of Information Spreading during Disasters

Abstract: Abstract

Cited by 27 publications

References 34 publications

Characterizing reticulation in online social networks during disasters

Characterizing reticulation in online social networks during disasters

Emotions in Social Media: An Analysis of Tweet Responses to MH370 Search Suspension Announcement

Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter

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Product

Resources

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Why I Retweet? Exploring Users Perspective on Decision-Making of Information Spreading during Disasters