Disentangling social media influence in crises: Testing a four-factor model of social media influence with large data

Zhao, Xinyan; Zhan, Mengqi; Liu, Brooke F.

doi:10.1016/j.pubrev.2018.08.002

Cited by 58 publications

(47 citation statements)

References 50 publications

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“…On digital platforms such as Twitter or Instagram, individuals and organizations can become influentials by sharing their insights and expertise with others. There has been a growing body of research on how various publics communicate on social media during crises (e.g., Cheng, ; Fraustino, Liu, & Jin, ; van der Meer, ; Zhao, Zhan, & Liu, ). For example, in the case of the Chipotle E. coli crisis, Zhao, Zhan, and Wong () found that social media users initially shared content framing the Chipotle E. coli crisis as a public health outbreak, and then focused on interpreting the crisis and its implications.…”

Section: Introductionmentioning

confidence: 99%

“…Social media influentials are crisis information creators (e.g., individuals, media, and organizations) who create information for others to consume. Specifically, crisis influentials emerge on social media when they are highly involved in the crisis, have expertise on the crisis, prolifically communicate about the crisis, and engage their followers (Zhao, Zhan, & Liu, ). Social media followers consume crisis information directly from influential creators.…”

Section: Introductionmentioning

confidence: 99%

“…Empirical evidence has suggested that influentials and followers can be differentiated based on a multitude of communicative behaviours and network characteristics on social media. Using large‐scale data from four crises, Zhao, Zhan, and Liu () found that social media influentials (vs. non‐influentials) during crises could be identified by their output (e.g., number of tweets), reactive outtake (e.g., number of retweets), proactive outtake (e.g., number of replies), and network positioning (e.g., degree centrality).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Understanding motivated publics during disasters: Examining message functions, frames, and styles of social media influentials and followers

Zhao

Zhan

Liu

2019

Contingencies & Crisis Mgmt

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There has been a growing body of research regarding how organizations and general publics communicate on social media during crises. Integrating the uses and gratifications perspective, the social‐mediated crisis communication model, and the framing approach, our study offers a consolidated framework explaining how and why motivated social media publics communicate during crises. Namely, we examined whether and how influentials and followers employed different message functions through communicative devices including frames and styles. A content analysis was conducted on 800 tweets sampled from influentials and followers discussing the 2017 Ariana Grande concert bombing disaster. Our results (N = 800) suggested that influentials and followers adopted distinct communicative functions on social media during the disaster. Influentials engaged in information sharing and support exchange, whereas followers engaged in opinion expression and emotional coping. Influentials and followers also adopted specific frames and styles to achieve these communicative functions. Our findings can help crisis communicators understand the needs, concerns, and communication features of different publics and construct effective messages to reach them.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Understanding motivated publics during disasters: Examining message functions, frames, and styles of social media influentials and followers

Zhao

Zhan

Liu

2019

Contingencies & Crisis Mgmt

Self Cite

View full text Add to dashboard Cite

show abstract

“…For a newly registered user, social media platform tends to recommend online content on the basis of the general information filled by user, commonly containing gender, age, education, vocation, revenue and location etc. That enables the collaborative filtering algorithm to find similar background users, and share their browsing history [15,16]. As we all know, social media is an open and comprehensive information interaction channel, platforms are not willing to force any user to conduct official identity authority.…”

Section: Instant Music Video Disseminationmentioning

confidence: 99%

Hybrid Variable-Scale Clustering Method for Social Media Marketing on User Generated Instant Music Video

Gao

2019

Teh. vjesn.

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Social media has already become one of the mainstream enterprise marketing channels recently. That consists of various media elements, such as text, picture, and even newly developed instant music video etc. Although several text or picture mining techniques could be directly utilized to analyse online user comments, few researches focus on how to improve the marketing performance of social media platforms through a multimedia approach. Therefore, this paper studies the social media marketing problem of user generated instant music video. A hybrid variable-scale clustering algorithm (HVSC) is proposed to analyse user feature through both textual and video content. Combining with the information dissemination characteristics of social media platforms, we also put forth a marketing strategy that intensively enlarges the transmission audience of influential UGC videos. Experiment results show that the HVSC is able to support managers to discover the target potential customer base of each UGC video following their music preference and current interest/concerns. Finally, according to the content relevance and customer influence, the video producers' incentive mechanism is further discussed.

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“…Contributing to the rapid development of information network technology, social media comes into being and shows excellent advantages on the social interaction and information exchange [7]. Since the convenience and freedom of social media, it turns into an emerging channel where customers often spontaneously express their feelings and ideas about products [8,9].…”

Section: Introductionmentioning

confidence: 99%

Multifunctional Product Marketing Using Social Media Based on the Variable-Scale Clustering

Wang

Gao

2019

Teh. vjesn.

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Customers' demands have become more dynamic and complicated owing to the functional diversity and lifecycle reduction of products which pushes enterprises to identify the real-time needs of distinct customers in a superior way. Meanwhile, social media turned as an emerging channel where customers often spontaneously can express their perceptions and thoughts about products promptly. This paper examines the customer satisfaction identification and improvement problem based on social media mining. First, we proposed the public opinion sensitivity index (POSI) to uncover target customers from extensive short-textual reviews. Subsequently, we presented a customer segmentation approach based on the sentiment analysis and the variable-scale clustering (VSC). The approach is able to get several customer clusters with the same satisfaction level where customers belonging to each cluster have similar interests. Finally, customer-centered marketing strategies and customer difference marketing campaigns are planned under the shadow of customer segmentation results. The experiments illustrate that our proposed method can support marketing decision marketing in practice that enriches the intention of the current customer relationship management.

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Disentangling social media influence in crises: Testing a four-factor model of social media influence with large data

Cited by 58 publications

References 50 publications

Understanding motivated publics during disasters: Examining message functions, frames, and styles of social media influentials and followers

Understanding motivated publics during disasters: Examining message functions, frames, and styles of social media influentials and followers

Hybrid Variable-Scale Clustering Method for Social Media Marketing on User Generated Instant Music Video

Multifunctional Product Marketing Using Social Media Based on the Variable-Scale Clustering

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