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The number of messaging methods and media available – print, telephone, e‐mail, text messaging, fax, etc. – can result in key members of an organisation spending significant parts of their working day simply managing their messages and the resulting responses. Because they arrive in different ways at different times, such management is difficult. Unified messaging attempts to make all messages – however they originate – available via a single interface, allowing priority and importance to be more easily discerned. This raises individual productivity and removes some of the stresses of “keeping up to date and in touch”. This paper explains the technology and suggests that a range of factors has come together finally to make unified messaging a realistic, feasible and effective solution.

With the growth of digital education, students increasingly interact in a variety of ways. The potential effects of these interactions on their learning process are not fully understood and the outcomes may depend on the tool used. This study explores the communication patterns and learning effectiveness developed by students using two basic synchronous and asynchronous communication tools in e-learning environments, specifically business simulation games.

The authors conduct a quasi-experiment research with 478 online business students, 267 of whom used online discussion forums and 211 interacted via an instant messaging app. The application of learning analytics and text mining on natural language processing allows us to explore the student communication patterns with each of tools and their effectiveness in terms of learning.

The results confirm the complementarity of the communication tools, asynchronous tools being especially the suitable for task-related communication and synchronous ones for speeding up and facilitating student social interactions.

The main value of this research lies in the use of data analytics and text mining to access and analyse the content of student interactions to assess the learning process in greater depth, comparing synchronous and asynchronous learning modes, considering that little is known about the impact of online synchronous interaction or instant messaging, and even less about the different features, content and performance that emerge when these two learner interaction modalities are compared.

The authors of this paper sought to qualitatively understand the perceived stereotypes associated with the youth culture surrounding texting.

Drawing on responses from 161 high school students and using qualitative methods as outlined by Bogden and Biklen to analyze data, four main themes of perceived adult misconceptions emerged. Adolescents spoke about adults’ general misperceptions about adolescents’ motivations to text, practices associated with texting, the content of their messages, and the impact of texting behaviors on adolescents’ developmental processes.

The existence of a youth culture that is imperceptible to adults seems evident from these findings. Texting is a primary form of communication for adolescents and, for this sample, enhances face-to-face relationships. Adolescents indicated they have control over their texting choices and behaviors.

Two common limitations existed in this study. These included using a convenience sample from only one high school, and including only adolescent perspectives. Future research should also examine the parent–child dyad in relationship to texting.

This research contributes to the understanding of social implications of adolescent text messaging and helps to further clarify the youth culture of texting. Although there are media that have been extensively studied in relation to adolescent development, newer media such as social networking and texting need further examination, as they have become definitive components of youth culture.

Purpose: The public health burden caused by tobacco is heavy among first-generation Chinese immigrant men whose home country has significantly higher smoking rates than the United States. The current study is part of a larger effort to pilot an mHealth tobacco cessation intervention using MMS (graphic) mobile phone technologies to target East Asian immigrant populations. Grounded in the Extended Parallel Process Model (EPPM), our specific aims were to determine what message themes, level of graphic intensity, and types of efficacy information are most appropriate and useful for mHealth interventions targeting this population.

Methodology/Approach: A qualitative study utilizing a series of focus groups (k = 5) was conducted with male adult smokers who were born in China and currently reside in the United States. The primary aim of the focus groups was to solicit reactions to a series of preliminary messages developed by the research team. A secondary aim was to gauge receptivity to the use of MMS as a vehicle for smoking cessation intervention. Participants (n = 32) were recruited from local Chinese communities in a large Mid-Atlantic metropolitan area.

Findings: Opinions about different message strategies were mixed. However, participants tended to rate messages more positively when they focused on the impact of smoking on family and loved ones, particularly children. Messages with fear-arousing images were also perceived to be effective at low frequency of exposure, but there were concerns that they may backfire at high exposure. Awareness of and interest in Quitline were low, and concrete quitting tips were perceived as more effective. Participants reported a preference for receiving messages a few times a week, and an MMS message platform was generally preferred to WeChat (a Chinese social media platform).

Implications: Our results suggest that graphic MMS messaging holds promise as an effective intervention method for this population and that EPPM is an appropriate framework to develop, test, and analyze mHealth intervention messages. While messages that focused primarily on impact on children, health, and specific quitting tips were generally found to be more effective, a mix of different types of messages that address a wide range of issues may be most appropriate for this population.

Originality/Value: This study is the first to explore the utility of graphic text messaging as an intervention method to promote smoking cessation among male Chinese immigrants. Findings from the study provide important insights for future intervention work targeting this underserved population.

This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.

The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.

The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.

Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.

The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.

Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

The purpose of this study is to examine the dark side of instant messaging from the technological and societal perspectives.

With the help of literature review and different theories, a model has been developed conceptually. Later the model has been validated using statistical method. The authors have used 304 responses from the survey method, and this sample has been used to statistically validate the conceptual model.

This paper has been able to explicitly investigate and identify how different instant messaging platforms such as WhatsApp, WeChat in the form of electronic word of mouth (e-WOM) are contributing toward increase of mob lynching cases. The paper also highlights the important to have effective and enforceable regulation to regulate instant messaging services to the citizens.

The findings cannot be generalized as the data is collected from India only. Moreover, the study is cross-sectional in nature. To get the comprehensive results, a longitudinal study needs to be conducted. This study considered seven constructs with one moderator. Having more predictors with other boundary conditions might have increased the explanative power of the model.

Instant messaging platforms such as WhatsApp, WeChat and so on are disseminating quick unverified information to the common people. This information sometimes is disseminated in inappropriate and exaggerated forms. This makes the instant messaging (WhatsApp) users' sentiment readily heated in some cases. They take such an action as mob lynching. This study determines the predictors of mob lynching along with the moderator impact of instant messaging in the society.

There are only a few studies those have explored the dark side of instant messaging. The proposed theoretical model is a unique model, which shows the predictors of mob lynching along with the negative consequences of the instant messaging (WhatsApp) in the society. From this perspective, this study can be considered as a unique study.

This study aims to evaluate how brands communicate with consumers through the COVID-19 pandemic and how messaging has shifted over time. The authors identify a typology drawn from extant literature and use it to understand how brands shape consumers’ behavior.

Through a mix of interpretive and thematic analysis, the authors examine 858 US email advertisements and how these messages have evolved throughout the pandemic.

The authors findings demonstrate brand communication ranges from prosocial to brand messaging and brands employed different strategies at different phases of the pandemic. Specifically, while brands started out emphasizing socially desirable behavior before and directly after a national emergency was declared, COVID-19-related communications shifted to predominantly marketing-related messages later in the pandemic.

This study provides valuable insight into how brands adjust communication strategies through a prolonged cultural trauma and how these messages relate to authenticity, the triple bottom line and a social (versus branded) focus.

The purpose of this study was to develop pre-exposure prophylaxis (PrEP) education materials that directly address the needs of trans women. PrEP medication is an effective HIV prevention strategy, but some groups at high risk of HIV, such as transgender (trans) women, have suboptimal uptake and adherence. Most PrEP marketing has been aimed fat men who have sex with men (MSM) and include trans women as part of that audience, but this strategy ignores important differences in perceptions of and barriers to PrEP.

This study used a social marketing approach grounded in exchange theory to systematically develop and pretest PrEP messaging and communication materials for trans women through qualitative (focus groups: n = 5, 34 participants) and quantitative (surveys: n = 128) methods in Philadelphia and the San Francisco Bay area. Segmentation analysis, perceptual mapping and vector message modeling techniques were used to create three-dimensional visualizations of PrEP perceptions to identify highly targeted messaging. Working with trans artists, the authors developed prototype materials using the targeted messaging and pretested these (n = 11) in both locations for feedback on content, look and insight on appropriate intervention strategies.

Using segmentation and perceptual mapping, this study identified key PrEP messaging across different subgroups, including by demographic and psychographic variables. Differences by group were determined to not be significant and overall messages that would resonate with all groups were built into the materials. Pretesting sessions indicated high acceptability of the messaging and trans women-centered approach to increase PrEP uptake.

To the best of the authors’ knowledge, this is the first study to use a social marketing framework to create targeted PrEP communication materials for trans women in partnership with trans women.

The study aims to examine the effectiveness of socially available measures such as concessive messaging, deradicalizing messaging, punishment, and reward in deradicalization, which remains theoretically debatable and empirically unclear and concern social policymakers.

This study surveyed 4,385 Chinese youths in Hong Kong, a special administrative region of China, to clarify the effectiveness.

Results show that receiving concessive messages about radicalism raised radicalism in 2020. Meanwhile, receiving deradicalization messages and rewards reduced radicalism. Receiving punishments for radicalism reduced radicalism when radicalism in 2019 had been high.

These results support social learning theory and imply its usefulness for deradicalization. That is, deradicalization can rely on messaging countering as opposed to conceding to radicalism and reinforcement for deradicalization and against radicalism.

Identifies a set of expectations about information technology (IT) adoption and usage in work groups, based on prior theory. Describes a longitudinal study on the adoption and usage of asynchronous technologies in small face‐to‐face groups. Compares observations with expectations. Concludes that expectations were generally supported except in one case, where file transfer was used synchronously to support face‐to‐face interaction. Observed one use of asynchronous technology to maintain social distance because of poor relationships. Discusses the implications of the findings. Offers possible areas of future research.