Search results

This paper aims to investigate the effect of CEO social media celebrity status on credit ratings and to determine whether potential threats on the CEO celebrity status negatively moderate the above association.

The authors collected tweets for 874 CEOs from 513 unique S&P 1500 firms. A panel data analysis was conducted on a panel with 4,235 observations from 2009 to 2020. We then tested the hypothesis with the ordinal logit model.

The empirical findings confirmed that CEO social media celebrity status is positively associated with corporate credit rating outcomes. Our path analyses revealed that CEOs with higher social media celebrity status have less incentive to conduct risk-taking behaviors and thus benefit credit ratings. When the rating agencies perceive potential threats to CEO celebrity status, including CEO myopia and CEO overconfidence, the association between CEO social media celebrity status and credit rating is weakened.

This study provides an in-depth understanding of CEO social media perception on credit ratings for firms' managers and capital market participants. Findings can help managers and firms improve their strategies for leveraging social media to release credit constraints. The debt market participants could adopt the CEO social media celebrity status and its concerned threats to setting debt contracts with an adequate price.

This is likely to be the first study that examines the effect of CEO social media celebrity status on credit ratings. The findings of this study also reveal that social media certificated celebrity CEOs tend to be capable of enhancing firm revenue and have lower risk-taking incentives, unlike mass media certificated celebrity CEOs.

This paper aims to enhance the understanding of the distinct origins, mechanisms, growth paths and societal impacts of misinformation and disinformation through the theoretical lens of Niklas Luhmann’s social systems theory, particularly focusing on structural coupling and penetration.

This paper is based on a conceptual study that investigates the phenomena of mis-/disinformation based on reviews of the literature on social systems theory, particularly focusing on structural coupling and penetration.

This theoretical analysis has led to the postulations that mis-/disinformation would cause social conflicts through divergent routes and that they do not necessarily have negative consequences in society. That is, conflicts or communication of contradictions serve for the reproduction and change in social systems and, furthermore, serve society as an immune mechanism. We speculate that similarities in the manifestation of mis-/disinformation could stem from the influence of amplifiers, such as moral intervention. Nevertheless, we posit that disinformation stemming from intentional penetration is more likely to cause societal dysfunction than misinformation, leading to conflict overload, polarized information ecosystems and potential system failures.

It provides a broader theoretical perspective for a better understanding of the roots and mechanisms of mis-/disinformation and their social consequences. It also engages with unresolved debates over structural couplings and penetration, showing how distinguishing these concepts enhance analytical clarity and explanatory power.

This chapter discusses the significance and effectiveness of communication strategies in empowering marginalized communities. With a specific focus on reproductive health, this chapter examines the diverse scope of these strategies and their transformative potential. It explores the use of mass media as a dynamic tool for information dissemination and the adoption of information, education, and communication (IEC) approaches to enhance knowledge and awareness. Furthermore, this chapter highlights the catalytic role of social and behavior change communication (SBCC) in driving substantial transformations in behaviors and attitudes. An integral part of the discussion is the customization of communication strategies to effectively reach and empower marginalized communities in Bangladesh. Through these strategies, this chapter illuminates the path toward empowering marginalized communities.

Drawing on the moral foundations theory (MFT), we examine what nonprofit organizations (NPOs) discuss and how NPOs engage in gun-related issues on Twitter. Specifically, we explore latent topics and embedded moral values (i.e. care, fairness, loyalty, authority, and sanctity) in NPOs’ tweets and investigate the effects of the latent topics and moral values on invoking public engagement.

Data were retrieved by the Twint Python and the rtweet R packages. Finally, 5,041 tweets posted by 679 NPOs were analyzed via unsupervised topic modeling and the extended moral foundations dictionary (eMFD). Negative binomial regression analysis was employed for statistical analysis.

NPOs’ engagement in gun-related issues mainly focuses on laws and policies, calling for action and collaborations, and school safety. All five moral foundations are more salient in the cluster of laws and policies. When NPOs discuss the above-mentioned three topics, the public is less likely to like or retweet NPOs’ messages. In contrast, NPOs’ messages with the sanctity foundation are most likely to receive likes and retweets from the public. The fairness foundation interacts with Cluster 3 of school safety on the number of likes.

This study enhances the understanding of gun-related social media discussions by identifying the crucial involvement of NPOs as major stakeholders. In addition, our study enriches the existing literature on NPOs’ social media communication by including moral values and their moral-emotional effects on public engagement. Finally, our study validates the eMFD dictionary and broadens its applicability to gun-related topics.

This chapter demonstrates a parallel between the presidential campaigns of Jair Bolsonaro (Brazil, 2018) and Donald Trump (United States, 2016) regarding their use of social media. Specifically, tweets from the former candidates on the social network sites were analyzed during a one-month timeframe before their respective presidential elections. Tweets were selected for analysis based on the fact that Twitter was the main platform used by both former presidential candidates. The analysis of the data reveals considerable similarities between the communication strategies of the two candidates. This research enlists McCombs and Shaw (1972) agenda setting theory based on their study of media during North American presidential campaigns in 1968 and Lippmann’s (2008) concept of public opinion. The methodology employed is based on Bardin (2011).

Endorsement marketing has been widely used to generate consumer attention, interest and purchase decisions among targeted audiences. Internet celebrities who become famous on the Internet are dependent on strategic intimacy to appeal to their followers. Our study aims to examine how multiple exposures to Internet celebrity endorsements influence consumers’ click and purchase decisions in the context of influencer marketing.

Based on a unique and representative dataset, the authors first model consumers’ choices for clicks and purchases with two panel fixed-effect logit models linking clicks and purchases with the frequency of exposure to Internet celebrity endorsement. To further control the endogeneity produced by the intercorrelation between the click and purchase models, the authors also adopt the two-stage Heckman probit structure to jointly estimate the two models using Maximum Likelihood Estimation. Robustness checks confirm the effectiveness of the models.

The results suggest that Internet celebrity endorsement plays a significant role in bringing referral traffic to e-commerce sites but is less helpful in affecting conversion to sales. The impact of repetitive Internet celebrity endorsements on consumers’ click decisions is U-shaped, but the role of Internet celebrities as online retailers will “shape-flip” this relationship to a negative linear relation.

Our study is the first to investigate the repetitive exposure effect of Internet celebrity endorsement. The results show a contradictory pattern with a wear-out effect of repetition in the advertising literature. This is the first study to show how the endorsing self, which is a common business model in influencer marketing, moderates the effectiveness of influencer marketing.

This research analyzes the alignment of story framing between Samarco and news media following the dam disaster in Minas Gerais in November 2015. Drawing on framing theory as the underlying impetus, the study seeks to answer five major questions: RQ1: How did Samarco frame the mining tragedy in the aftermath of the dam collapse? RQ2: How did the news media frame the mining tragedy in the aftermath of the dam collapse? RQ3: Did the frames presented by Samarco and news media coincide? RQ4: Did the frames presented by Samarco and news media contradict? RQ5: What can be observed about the information flow and interaction between news media and the general public on social media? From a methods perspective, the study uses comparative textual analysis and NodeXL social network visualization to analyze the discourse around Samarco and information flow on social media in the aftermath of the tragedy. The results show that, while some social media content served as a forum for expressions of empathy toward survivors, social media content on Twitter mostly delivered a one-sided and positive view of the firm’s actions.

The study seeks to contribute to a deeper understanding of the relationship between remediations and participation in new media. By lending some transparency, the analysis hopes to contribute toward generating a critical optics aware of the potentials and pitfalls of emergent media.

The methodology is visual semiotic analysis. The author make no claim for one, true interpretation or critical judgment about the images.

In demonstrating some shortfalls of Instagram affordances, the analysis shows how social media sites can develop tools that encourage users to engage in civic consciousness and respectful political debate. The study makes clear that new media tools can hamper or aid participatory logics.

To author’s knowledge, no other study that has analyzed remediated images related to the controversial confirmation of Brett Kavanaugh to the U.S. Supreme Court. It is also important to place these images in the contexts of “iconicity” in emergent media (a concept increasingly being eroded in new media environment).

During the COVID-19 pandemic, the public relied heavily on digital media to stay tuned for the latest update. Media preference could increase risk perceptions, although the influence of diverse media exposure remains unknown. Based on protection motivation theory, this study aims to investigate how digital media exposure diversity and information verification influence vaccination intention.

Analyzing survey data from 837 respondents in China, this study examined the effects of digital media exposure on information verification, including their influences on the threat appraisal, coping appraisal, vaccine misinformation beliefs, subjective norms and trust in vaccines.

Results indicate that diversity of digital media exposure increased threat appraisal (perceived severity) and coping appraisal (response efficacy and self-efficacy), while information verification increased only coping appraisal (response efficacy and self-efficacy). In addition, diversity of digital media exposure decreased vaccine misinformation beliefs. Furthermore, digital media exposure and information verification were linked to vaccination intention via the mediations of response efficacy, subjective norms and trust in vaccines.

This study is the first of its kind to investigate media exposure diversity in the context of vaccination and health crises. Our findings extended the PMT framework by exploring proactive information-related behaviors as antecedents of mediation processes. In addition, we examined misinformation beliefs, social norms and trust as societal influences. Theoretical and practical implications are also discussed.

Misperceptions hinder our ability to effectively respond to health crises such as the COVID-19. We aimed to examine the dynamic influences between information exposure, information trust and misperceptions during the early phase of the COVID-19 pandemic. Specifically, we focused on the relative influence of exposure to COVID-19-related information via social media versus interpersonal offline communication.

The current study conducted a two-wave national survey of US adults in May and June of 2020 with a two-week time interval. A professional polling firm recruited participants, and 911 and 679 respondents participated in the first and the second wave survey, respectively. To test proposed hypotheses, researchers conducted path analyses using AMOS 27.0.

Findings show that individuals exposed to COVID-19-related information via social media are likely to hold increased misperceptions. In contrast, exposure to COVID-19-related information offline did not elicit any effects on misperceptions. The exposure to information on social media was positively associated with trust in that information, which, in turn, contributed to an increase in misperceptions. Furthermore, when examining the effects of misperception, it was found that misperceptions increased the likelihood of individuals being exposed to and having trust in COVID-19-related information on social media. The findings provide valuable insights into the role of social media as a platform where a detrimental cycle thrives, shaping the formation of misperceptions and cultivating a heightened dependence among individuals with elevated misperceptions.

The current study significantly extends the findings of prior research by examining the differential effects of social media and interpersonal communication offline on misperception and by revealing the intricate dynamics between information exposure and misperception by focusing on the role of trust. The findings emphasize the detrimental role of social media in generating a vicious information cycle. That said, seemingly superficial discussions about health crises within a social media environment rich in misinformation can contribute to fueling a self-reinforcing loop, making it challenging to effectively counteract misperceptions.