Functional and emotional traits of corporate social media message strategies: Behavioral insights from S&amp;P 500 Facebook data

Ji, Yi Grace; Chen, Zifei Fay; Tao, Weiting; Li, Zongchao Cathy

doi:10.1016/j.pubrev.2018.12.001

Cited by 96 publications

(106 citation statements)

References 67 publications

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“…Existing studies regarding the relationship between media richness and citizen engagement through social media have focused predominantly on the specific dimension of citizen engagement (likes, shares or retweets, and comments), but the results reported are controversial. Although most studies support the assumption that multimedia content receives more likes (Bhattacharya et al, 2017;Bons� on et al, 2019;Brubaker & Wilson, 2018;Ji, Chen, Tao, & Li, 2019;Lee & Xu, 2018) and shares (Bons� on et al, 2019;Brubaker & Wilson, 2018;Ji et al, 2019;Kim & Yang, 2017;Lee & Xu, 2018;Xu & Zhang, 2018;Yue et al, 2019), some have also confirmed the positive effect of plain text. For example, Lee and Xu (2018) analyzed 1575 tweets from the official Twitter accounts of Donald Trump and Bill Clinton during the 2016 US president election.…”

Section: Media Richness and Cegsmmentioning

confidence: 93%

“…Kim and Yang (2017) analyzed 600 posts on 20 Facebook accounts owned by companies and found that videos had no influence on the number of likes and comments, but did increase the number shares. However, Ji et al (2019) found that videos increased likes and shares, while comments decreased. The analysis of Facebook posts of the top 20 respectful and controversial companies indicated that videos will increase shares but have no influence on the number likes and comments (Kim & Yang, 2017).…”

Section: Media Richness and Cegsmmentioning

confidence: 94%

“…However, the influence of pictures and videos on overall citizen engagement and its three dimensions remain debated. Some studies support the premise that pictures increase the number of comments received (Ji et al, 2019), while others find that they reduce comments (Kim & Yang, 2017). Rahim et al (2019) analyzed 2132 photos posted on the Malaysian Health Department official Facebook page confirming that pictures had no significant effect on citizen engagement rates (calculated by likes, comments and shares).…”

Section: Media Richness and Cegsmmentioning

confidence: 98%

“…Emotions are important determinants of information sharing and relationship practice, which determine an individual's desire to seek, dispose and share information (Zavattaro et al, 2015). Corporate social media usually delivers posts with emotion to attract audience attention and facilitate conversations and a sense of online community (Ji et al, 2019). According to the Social Sharing of Emotion Theory, people who experience emotions are often eager to share and talk more urgently (Rim� e, 2009).…”

Section: The Moderating Role Of Emotional Valencementioning

confidence: 99%

“…When individuals are exposed to emotional content on social media, they are likely to share their emotions and this further promotes their engagement behaviors, such as sharing, liking and commenting (Ji et al, 2019;So et al, 2016). Previous studies have agreed that emotional posts facilitate citizens' social media engagement behaviors (Ji et al, 2019;Keib, Himelboim, & Han, 2018;Kivran-Swaine & Naaman, 2011;So et al, 2016). For example, Ji et al (2019) found that posts with emotions promoted citizen social media engagement behaviors, including likes, shares and comments.…”

Section: The Moderating Role Of Emotional Valencementioning

confidence: 99%

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Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis

Chen

Wei

et al. 2020

Computers in Human Behavior

510

578

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A R T I C L E I N F OKeywords: government social media citizen engagement dialogic communication theory media richness theory emotional valence crisis management A B S T R A C TDuring times of public crises, governments must act swiftly to communicate crisis information effectively and efficiently to members of the public; failure to do so will inevitably lead citizens to become fearful, uncertain and anxious in the prevailing conditions. This pioneering study systematically investigates how Chinese central government agencies used social media to promote citizen engagement during the COVID-19 crisis. Using data scraped from 'Healthy China', an official Sina Weibo account of the National Health Commission of China, we examine how citizen engagement relates to a series of theoretically relevant factors, including media richness, dialogic loop, content type and emotional valence. Results show that media richness negatively predicts citizen engagement through government social media, but dialogic loop facilitates engagement. Information relating to the latest news about the crisis and the government's handling of the event positively affects citizen engagement through government social media. Importantly, all relationships were contingent upon the emotional valence of each Weibo post. )is researcher at the School of Journalism and New Media, Xi'a Jiaotong University in China. She has been studying for information behavior and interaction, and information analysis on the new media.Richard Evans (richard.evans@brunel.ac.uk) is a Senior Lecturer at the College of Engineering, Design and Physical Sciences, Brunel University London, United Kingdom. His research interests are social media and organizational behavior, and knowledge management.

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Section: Media Richness and Cegsmmentioning

confidence: 93%

Section: Media Richness and Cegsmmentioning

confidence: 94%

Section: Media Richness and Cegsmmentioning

confidence: 98%

Section: The Moderating Role Of Emotional Valencementioning

confidence: 99%

Section: The Moderating Role Of Emotional Valencementioning

confidence: 99%

See 3 more Smart Citations

Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis

Chen

Wei

et al. 2020

Computers in Human Behavior

510

578

View full text Add to dashboard Cite

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Adventures in “Big Data” Application in Strategic Applied Communication Research, Theory, and Method

Ji¹,

Stacks²

2020

The Handbook of Applied Communication Research

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Understanding the effects of message cues on COVID‐19 information sharing on Twitter

Zheng

Goh

Lee

et al. 2021

Asso for Info Science & Tech

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Analyzing and documenting human information behaviors in the context of global public health crises such as the COVID‐19 pandemic are critical to informing crisis management. Drawing on the Elaboration Likelihood Model, this study investigates how three types of peripheral cues—content richness, emotional valence, and communication topic—are associated with COVID‐19 information sharing on Twitter. We used computational methods, combining Latent Dirichlet Allocation topic modeling with psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count dictionary to measure these concepts and built a research model to assess their effects on information sharing. Results showed that content richness was negatively associated with information sharing. Tweets with negative emotions received more user engagement, whereas tweets with positive emotions were less likely to be disseminated. Further, tweets mentioning advisories tended to receive more retweets than those mentioning support and news updates. More importantly, emotional valence moderated the relationship between communication topics and information sharing—tweets discussing news updates and support conveying positive sentiments led to more information sharing; tweets mentioning the impact of COVID‐19 with negative emotions triggered more sharing. Finally, theoretical and practical implications of this study are discussed in the context of global public health communication.

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Functional and emotional traits of corporate social media message strategies: Behavioral insights from S&P 500 Facebook data

Cited by 96 publications

References 67 publications

Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis

Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis

Adventures in “Big Data” Application in Strategic Applied Communication Research, Theory, and Method

Understanding the effects of message cues on COVID‐19 information sharing on Twitter

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