Social Media Communication Research Articles

Book Review: Social Media Theory and Communications Practice by Whitney Lehmann

Book Review: <i>Social Media Theory and Communications Practice</i> by Whitney Lehmann

Understanding the influence of communication visibility in preventing knowledge sabotage: a knowledge power perspective

PurposeThis study explores the potential impact of enterprise social media (ESM) communication visibility on knowledge sabotage to reduce knowledge sabotage within organizations.Design/methodology/approachWe collected data from 389 Chinese employees across three stages and used hierarchical regression analysis and the bootstrap method to test our hypotheses.FindingsCommunication visibility negatively affects knowledge sabotage, and the loss of knowledge power mediates the relationship between communication visibility and knowledge sabotage. Digital work connectivity strengthens the negative relationship between message transparency and loss of knowledge power but weakens the negative relationship between network translucence and loss of knowledge power. Therefore, digital work connectivity plays a dual role.Practical implicationsManagers can encourage employees to share their knowledge advantages through ESM and seek cross-disciplinary knowledge cooperation, which helps restrain knowledge sabotage from the source. At the same time, maintaining appropriate digital work connectivity enables employees to leverage their knowledge interaction advantages of ESM, thereby fostering their knowledge competitiveness.Originality/valueThis study is the first to reveal the internal mechanism (loss of knowledge power) through which ESM communication visibility affects knowledge sabotage and explores the boundary condition (digital work connectivity) impacting the effectiveness of communication visibility. It contributes to a deeper understanding of the inherent nature of knowledge sabotage from an information technology perspective and offers novel technical insights into its management.

The #TrustedInfo2022 dataset: States’ trust-building social media campaigns during the 2022 election cycle

Abstract We introduce a dynamic dataset of all communications by state election officials (EOs) on social media during the 2022 election cycle and develop metrics to assess the effectiveness of trust-building strategies on voter confidence. We employ quantitative manual content analysis of 10,000 organic posts from 118 state EOs’ accounts on Facebook, Instagram, and Twitter between September 10 and November 30, 2022, and code for the presence of variables that measure EOs’ efforts to combat misinformation and build trusted networks of communications. The measures we present here address two questions: (1) How much coordination was there among states in terms of incorporating the #TrustedInfo2022 campaign, promoted by the National Association of Secretaries of State, in their social media communications, and (2) How much of states’ social media communications explicitly signaled that EOs are trusted sources of information? We demonstrate the applicability of our data on research that evaluates the impact of trust-building campaigns on voter confidence in elections, which is grounded on theories of deliberative democracy and democratic listening.

A bibliometrics analysis of interpersonal communication in social media

A bibliometrics analysis of interpersonal communication in social media

Human Adaption to Climate Change: Marine Disaster Risk Reduction in the Era of Intelligence

With the intensification of global warming and sea level rise, extreme weather and climate events occur frequently, increasing the probability and destructive power of marine disasters. The purpose of this paper is to propose the specific application of artificial intelligence (AI) in marine disaster risk reduction. First, this paper uses computer vision to assess the vulnerability of the target and then uses CNN-LSTM to forecast tropical cyclones. Second, this paper proposes a social media communication mechanism based on deep learning and a psychological crisis intervention mechanism based on AIGC. In addition, the rescue response system based on an intelligent unmanned platform is also the focus of this research. Third, this paper also attempts to discuss disaster loss assessment and reconstruction based on machine learning and smart city concepts. After proposing specific application measures, this paper proposes three policy recommendations. The first one is improving legislation to break the technological trap of AI. The second one is promoting scientific and technological innovation to break through key technologies of AI. The third one is strengthening coordination and cooperation to build a disaster reduction system that integrates man and machine. The purpose of this paper is to reduce the risk of marine disasters by applying AI. Furthermore, we hope to provide scientific references for sustainability and human adaptation to climate change.

Marketing communication and enterprise performance: A focus on the use of new media advertising in sales of products

This study examined the effect of new media advertising on performance of small and medium enterprises: A focus on selected manufacturing firms in Delta State, Nigeria. The study's specific objectives were to investigate how social network advertisements affect the performance of small and medium enterprises, to determine the effect of web-based advertisements on the performance of small and medium enterprises, and to determine how the placement of advertisements on customers' online forums affects the performance of small and medium enterprises. The study used a survey research design. The survey included 250 participants from chosen telecommunications businesses in Asaba, Delta State. The sample size is one hundred fifty-four (154) utilising Taro Yamani. Respondents were chosen from each of the designated Asaba telecommunications enterprises using a stratified sample approach. The study found that social network ads, web-based advertisements, ad placement, and social media communication all had an impact on brand performance. The study finds that clients should be continually astonished rather than bored when it comes to social media material, thus they must believe that the effort is ongoing and that something is occurring at all times. The report suggests that businesses assess their social media marketing KPIs. For example, if they want to measure awareness, they could track growth, likes, subscribers, and brand awareness. Engagement, influence, and recommendations are important factors to consider when assessing loyalty. Engaging clients online to request recommendations would also provide the organisation with insights into co-innovation. Keywords: New Media, Advertising, Social Network Advertisements, Web-Based Advertisements, Small And Medium Enterprises.

Quantifying social media predictors of violence during the 6 January US Capitol insurrection using Granger causality.

Protests involving brute force are growing in number and are viewed as a likely source of increased collective violence in industrialized nations. Yet, our scientific understanding of how violent protests are related to a leader's social media communications during protests remains nascent. Here, we analyse new data from the 6 January 'march on the US Capitol' to quantify the links between leadership, social media and levels of violence. Using data on thousands of live footage videos, Trump's tweets and rally speech, other rally speeches and #StopTheSteal tweets, we apply Granger regression methods to analyse the links between former President Trump's tweets, #StopTheSteal tweets, rally speeches and the severity and duration of outbreaks of violence and weapons use during the riot. We find that Trump's tweets predict bursts in rioters' levels and duration of violence and weapons use. Trump's tweets also predict changes in the volume and sentiments of #StopTheSteal tweets, which in turn explain additional variance in levels of violence and weapons use over the course of the riot. Our findings reveal new patterns of behaviour that link an authority figure's online behaviour during a protest and the shift from peaceful protesting to violence.

Pelatihan Pembuatan Video sebagai Media Promosi Dusun

One of the most accessible options for the public to build a digital ecosystem is to use social media in communication and socializing practices. This community service activity basically aims to provide training on making village promotional videos for youth groups in Dusun Demen, Pakembinangun, Pakem, Sleman, Yogyakarta, aged 16-20 years. Involving young people as participants in this video training activity is an urgency that is expected to represent Gen Z as active users of the YouTube networking media. The result of this activity is to make young people understand more about the function of social networking media, especially Youtube as a promotional medium. Almost all of the participants became more knowledgeable about procedures and implementing the basic techniques of making videos. They also gain experience and skills on how to direct a video production process. So, it is hoped that in the future young people will be more skilled and more skilled in creating videos that are published on the YouTube channel, especially in an effort to promote the village.

The Influence Of Instagram Social Media Communication On Purchase Intention Through Brand Equity In Seblak Preanger Jember

This research objectives are to determine the influence of Instagram social media communication on purchase intention through brand equity in Seblak Preanger Jember. This research used the Explanatory Research type. The population in this research is the number of followers of Instagram Seblak Preanger. The exact population size in this study is not known. The sampling method in this research was carried out using the Purposive Sampling method. This research used 21 indicators using 10 times the number of parameters to anticipate if there is an incomplete or damaged questionnaire, so the sample size in this research is 21 x 10 = 210 respondents. The data analysis method used Structural Equation Modeling (SEM) with the SmaprtPLS application. The research results showed that Firm Created Communication influenced Brand Equity, User Generated Communication influenced Brand Equity, Firm Created Communication influenced Purchase Intention, User Generated Communication influenced Purchase Intention, Brand Equity influenced Purchase Intention, Brand Equity is proven to mediate the influenced of Firm Created Communication on Purchase Intention, Brand Equity is proven to mediate the influenced of User Generated Communication on Purchase Intention.

The Influence of Social Media Communication Towards Customer-Based Brand Equity on Netflix

This study aims to analyze how social media communication seen from user-generated content, firm-generated content, and distribution intensity affects customer-based brand equity on Netflix. Respondents in the study were 321 Netflix subscribers. This study uses a lower-order construct as a research model. Based on the results of research that has been conducted, show that firm-generated content (FGC), user-generated content (UGC), and distribution intensity (DI) affect customer-based brand equity (CBBE) at different levels. Although UGC has a smaller effect size compared to FGC, it still has significant relevance. Distribution intensity is important for increasing brand awareness and loyalty, although it has no direct impact on perceived quality. This in-depth understanding can guide marketing and brand management decisions to effectively utilize these components.

Social Media Insight: Predicting Self-Harm Trends

Poisoning or injuring oneself can cause death or injury without intent. This is self-harm. Self-harm harms the perpetrators and the nation's economy. Studies have linked increased urbanization in emerging nations to rising self-harm and new technology. National self-harm patterns may be important for policymakers and public health experts to predict. This would allow them to immediately fix issues or avoid disasters. Studies have forecasted population-level self-harm patterns in many nations using simple statistics. In certain nations, prior data may be scarce or insufficient to make reliable projections. This makes it tougher to FAST assess and anticipate national self-harm. This essay proposes FAST, a technique that uses mental indicators from social media to forecast national self-harm trends. These markers can represent community mental health and help forecast self-harm patterns. Language-agnostic algorithms are taught to first identify mental indicators in gathered social media communications. These signals form multivariate time series. The time-delay embedding method then places these events in time. Last, many machine learning regressors are tried for future prediction. Tweets with 12 mental indicators may predict self-harm-related fatalities and injuries, according to a Thailand research. The suggested method predicted self-harm deaths and injuries. Better than ARIMA baseline by 43.56% and 36.48%. We think our research is the first to predict national self-harm trends using social media data. The findings improve self-harm prediction and establish the framework for new social network-based apps that forecast socioeconomic aspects. We used the top machine learning algorithms, Decision Tree and Voting Regressor. We found less MAE mistakes with these techniques.

The Role of Social Media in Promoting Inclusive Communication between the Non-Disabled and People with Disabilities through Accessibility Features

The study sought to establish whether social media can promote inclusive communication between people with disabilities and those without through accessible features in Saudi Arabia. Two areas of interest in the study were inclusivity and accessibility of social media features. People with disabilities must be included in the online space and have access to features that enable them to communicate easily. Social media communication can be sending a friend request, chatting, or responding to people's posts. The study engaged a self-report of 154 participants of varied levels of education and age groups, including gender, different provinces around the country, and the social media platforms they preferred. The descriptive and inferential analyses show that social media platforms can promote inclusive communication if accessible features are available. Accessible features include alt text, a simple user interface, hashtags, emoticons, and captions.

The Role of Social Media in Enhancing Religious Tolerance and Interfaith Harmony in Pakistan

This study examines how social media promotes religious tolerance. Religious tolerance and interfaith harmony in Pakistani social media were examined. Education and social media affect religious tolerance, according to research. In a quantitative study, 417 religiously diverse respondents completed a structured questionnaire. We used descriptive statistics, SEM, and moderation analysis to study social media use, religious tolerance, and interfaith harmony. SEM analysis showed a strong positive correlation between social media use and religious tolerance and interfaith harmony. Tolerance fosters interfaith harmony. Education moderated religious tolerance and social media use. With high education, respondents had the strongest relationship, while low education had a weaker but not statistically significant relationship. Social media promotes religious tolerance and interfaith harmony, especially among educated people, this study found. Education and digital literacy boost social media's interfaith benefits. This study encourages constructive social media communication between diverse religious communities to promote social harmony.

The effectiveness of social media communication of sustainable fashion brands: evidence from consumer engagement

ABSTRACT The purpose of this study is to identify how sustainable fashion brands communicate with consumers on social media, specifically, Instagram. By applying a data mining technique to analyze brand posts and consumer comments, we thoroughly examine how consumers engage with sustainable messages from each brand and how those engagements are associated with brand posts. A sample of six sustainable fashion brands was selected, including Eileen Fisher, Everlane, Girlfriend Collective, Patagonia, Reformation, and Stella McCartney. Public posts of the six brands and corresponding consumer comments on Instagram between November 1, 2019 and November 1, 2022 were collected. LDA (Latent Dirichlet Allocation) text mining technique was applied to extract topics from each brand’s posts and follower comments. A fixed effects linear panel model was then employed to examine if consumer comments are significantly associated with sustainable messages from each brand. Ten major sustainability-related themes were identified from brand posts, and four major sustainability-related themes were discovered from consumer comments. The linear panel results provide preliminary evidence that the sustainability-related themes from consumer comments are positively influenced by the sustainability-related themes from brand posts, indicating that brand posts indeed affect consumers’ opinions about sustainability.

Promoting Upcycled Food: An analysis of social media communication strategies of Upcycled Food Association

Global food loss and waste are significant challenges in the food system, critical to addressing food insecurity and national security in the U.S. Upcycled food, which reduces waste at the source, is a promising solution. Social media offers both opportunities and challenges for communicating food benefits. This study examines publicly available data from Instagram, Facebook, and Twitter of a non-profit organization Upcycled Food Association (UFA) using content analysis and machine learning techniques. The analysis revealed that social media posts focused on promoting food waste awareness and benefits related to sustainability, health, and the economy, with environmental information being prioritized. UFA employs diverse impact information frames and uses positive emotion framing to increase food waste awareness and empower consumers by highlighting the impact of their purchasing power. Communication strategies are tailored to the unique characteristics of each social media platform and its users. We recommend social media initiatives continue emphasizing food waste awareness and upcycling, alongside increasing health information to encourage upcycled food consumption. Diverse strategies with diverse benefits and tailored to each platform's characteristics and sociodemographic groups are recommended. Future research can explore efficient topic modeling methods in larger datasets in social media analysis.

Tapping into Gen Z Ways to Enhance E-learning and Meaningful Connections

Generation-Z born 2000-2009 (Australian Bureau of Statistics 2024) are comfortable with digital technology and connecting with one another using social media platforms. Regardless of this proficiency they may still experience challenges engaging with online learning especially around social cohesion, wellbeing and learning success. Other challenges they may encounter are communicating and interacting face-to-face in the workplace, which is a vital 21st Century graduate attribute. A growing societal concern is staff shortages and unfilled vacancies within the health sector. There are many factors influencing health care workforce shortages, but Generation-Z may be a good fit due to their growing awareness of societal concerns and willingness to upskill. This study seeks to investigate the enablers and barriers impacting Generation-Z nursing students’ ability to successfully engage with e-learning and to communicate effectively in face-to-face interactions within the workplace environment. Furthermore, this study seeks to explore the ways Generation- Z nursing students communicate and interact with each other on social media. The study will use a qualitative, social constructionism (making meaning in a social context) methodology. Methods include three focus group discussions with students aged 18-24 years, enrolled external/online in an undergraduate nursing program, with a minimum of one clinical placement completed or attempted. Data will be analysed using thematic analysis process proposed by Braun and Clarke (2022). Findings will inform e-learning design strategies that address the identified barriers and use the enablers to help Generation-Z successfully transfer their social media communication knowledge and skills to better engage with online learning, leading to higher satisfaction and completion rates. These strategies include supporting the transference of their fluent online social media communication skills to build and use meaningful connections relevant to the healthcare workplace that further supports the enablement of the graduate attribute, effective communicator.

Comparative dimensions of COVID-19 visual health literacy: social media news imagery in Germany and China

The COVID-19 pandemic prompted governments worldwide to utilise social media news platforms for disseminating critical public health information and safety protocols. Visual aids, including photographs, videos, charts, and infographics, played a key role in conveying health-related messages. However, there are variations in visual communication practices across countries, influenced by local health communication habits and cultural contexts. This study examines these variations in the visual health discourse that emerged in China and Germany during the pandemic, focusing on metaphorical mapping as a central analytical tool. We introduce the concept of “visual dataset fingerprints,” outlining the distinct composition of public health visuals on eight social news media platforms in Germany and China. Our descriptive analysis encompasses over 3700 digital visual media posts related to COVID-19, shared by leading national news media accounts in German, English, and Mandarin on microblogs in 2022. As a preliminary outcome of our study, we observe differences in image use based on the analysis of 1678 media posts by four Chinese outlets and 1329 media posts by four German outlets. These differences may reflect variations in how public opinion, perceptions, and attitudes toward COVID-19 policies are shaped across languages and cultures. Through its comparative visual analysis, our pilot study offers the potential for a new research approach to global healthcare communication in social news media and digital visual cultures.

Enhancing Mobile Central Bank Digital Currency Payment Participation Through Creative Communication on Social Media

With the development of mobile technology, mobile devices have dramatically changed the way people entertain and pay. Social media platforms are booming, and social media is gradually becoming the main form of entertainment for people. Enterprises and organisations with promotional needs are paying more attention to the high efficiency and high input–output ratio of social media communication. Social media advertising has shown more vitality than traditional advertising. Meanwhile, mobile devices have also changed the way people pay, and mobile payment is gradually becoming popular. China has taken the lead in launching mobile Central Bank Digital Currency (CBDC) payment, a new payment technology, and social media communication also plays an important role in promoting CBDC payment. The purpose of this article is to explore the impact of social media creative communication on mobile CBDC payment participation. A research model suitable for this study was created by integrating privacy concern and elaboration likelihood model theory. A valid response from 300 respondents was obtained through an online self-administered questionnaire. Hypotheses were tested through a two-stage research method of partial least squares structural equation modelling with the method of artificial neural network. The results of the study showed that social media advertisements’ creativity and social media information quality significantly and positively influence users’ social media engagement. Users’ social media engagement significantly and positively influences users’ mobile CBDC payment participation. The study provides valuable practical guidance for managers of mobile CBDC payments to promote mobile CBDC payments through social media.

Service for sustainability and overall value for money: sequential mediation of customer-generated communication on social media and perceived value

PurposeThis study investigated the predictors of overall value for money in the hospitality industry concerning routine practices reinforcing SDG goals. The sequential mediation underlines the mechanism of theoretical viability and sustainability relevance of restaurant environment factors and customer-generated communication on social media to influence the value impressions of hospitality customers.Design/methodology/approachCross-sectional design was utilized to obtain empirical data from customers of luxury restaurants in mega cities of Pakistan. Non-probability purposive sampling was deployed to collect data from 370 customers. The chained relationship of predictors was analyzed using Smart PLS.FindingsThe SDGs' integration with predictors provided theoretical insights into the role of physical spaces in achieving SDG 14 of sustainable consumption and production. The role of social media communication explains the mechanism of online discourse, which shapes perceptions of sustainable dining experiences.Practical implicationsThis study explained sustainable consumption's relation to consumers' psychological undertakings and reinforced the dinners' decision-making processes to evaluate expectations influencing dining choices. This study helps to understand how sustainability issues transformed consumers' value perception and helps them take measures to minimize the environmental impact of their dining choices.Originality/valueThe sequential mediation model investigated with the lens of expectation disconfirmation theory provided relational clarity, which is difficult to achieve when comparing the perception of customers with performance variables. Distinguishing overall value for money from perceived value is essential for making data-driven decisions to utilize monetary resources efficiently.

Research on the Influencing Factors of Art Intervention in the Environmental Graphics of Rural Cultural Tourism Space

In the development of rural revitalization, the art intervention in rural cultural tourism has become a hot topic recently. With the advent of the new media era, it is particularly important to study the factors that affect the artistic value of environmental graphic design. This study proposes six dimensions of environmental graphic design for rural cultural tourism through literature analysis and experience summary, which are refined into 21 impact indicators. It is based on the case of the environmental graphic publicity of cultural tourism in Chongqing Nanshan Cattle Village, using the SBE beauty evaluation method to evaluate the influencing factors, while using the analytic hierarchy process (AHP) to measure each indicator. The consistency of the two evaluation methods verifies the feasibility of the influencing factors, and this study found the influence of visuality, cultural nature, artistic nature, interactivity, spatiality, and communicativeness on aesthetic value. Moreover, the core of environmental graphic design lies in information transmission, in which artistic nature occupies an important position, while cultural nature, although it has a relatively small weight in aesthetic value, cannot be ignored in social media communication. In terms of visual design, a reasonable layout of equipment significantly enhances visual appeal, while spatial adaptability is considered a key factor. This paper emphasizes the integration of art principles into design to promote sustainable development, while also pointing out that the identification of rural cultural symbols can enhance visitors’ cultural experience. In terms of interactivity, it is crucial to encourage visitors to actively participate and share their experiences, while communication emphasizes the important impact of exposure to rural scenes on brand communication. This research provides systematic theoretical support and practical guidance for the environmental graphic design of rural cultural tourism.