Social Media Reviews Research Articles

The Romantic Influencer: A Review of Social Media’s Impact on Relationship Satisfaction

Social media is a significant part of the modern human experience. It infiltrates every part of life. There is great value in understanding the nature of social media in every sphere of its influence, especially the romantic relationship. The general public has long been concerned over the suspected harmful impact of social media in relationships. This literature review synthesizes studies over the past decade on the relationship between social media usage and romantic relationship satisfaction. While many problematic outcomes have been found for romantic partners due to social media, other studies have shown positive effects. Most of these social media behaviors foster unintentional consequences, whether positive or negative. A few examples of negative social media influences include increased partner suspicion, conflict, and pressure. Ultimately, these produce lower levels of satisfaction. Benefits from social media’s inclusion in the life of a couple, such as easier communication and common interest building, were found to positively impact satisfaction. Additionally, this review interacts with unique studies on the impact of intentional social media abuses, including addiction and unfaithfulness. The overarching theme is the circular causality of romantic satisfaction. There are many interacting factors involved in social media’s use and the way it is perceived among partners. These must be studied in greater depth to truly capture social media’s pull in romantic relationships. In review of the literature, specific considerations toward sampling and measurement are noted. Opportunities for further research include employing new research methods and focusing on the impact of social media on the family system. These findings have the potential to improve the quality of therapy among professionals who work with couples. Public agencies can use such information to improve education and implement preventative measures in the social media arena. In this review, social media is referred to as SM for the sake of brevity.

Exploring memorable experiences in luxury hotels

Purpose This study aims to explore memory-dominant logic (MDL) in the luxury hotel context to assess the flow of management experience decisions to memorable experiences, which lead to guest outcomes. While research into memorable experiences has gained traction, the theoretical underpinnings of what makes an experience memorable in a luxury hotel setting are not well documented. Design/methodology/approach A grounded theory, qualitative methodology was used to assess MDL value transformation. Inductive methods included conducting in-depth interviews with hotel managers and analyzing social media reviews for each hotel. Guest reviews served as an indicator of memory outcomes and the counterpoint to the managerial interviews, supporting or refuting interview findings. Findings Key dimensions emerged, emphasizing the importance of managerial inputs to experience design, service experience attributes and memorable experience creation, demonstrating a sequence of memory-based value creation and outcomes such as positive word of mouth/electronic word of mouth (WOM/eWOM). Sentiment analysis identified attributes that appear to be a “must-have” to avoid dissatisfaction, as well as areas at risk for negative memories. Dimensions were developed into a framework using themes derived from MDL value transformation, management and consumer inputs that influence memorable experience outcomes in this context. Research limitations/implications The study supported the MDL theoretical framework by illustrating the flow from managerial inputs to the service experience, to elements of experience co-creation, and through to the guests’ WOM/eWOM and experience memories. The findings highlighted the symbiotic relationship between firm culture and service experience design, providing guidance for managerial practice going forward. Originality/value This paper uncovers major themes and dimensions identified by guests and managers as necessary in creating memorable experiences in a luxury setting and develops a framework that serves as a foundation for further study, including anteceding factors and their impact on hedonic consumption across experience domains.

Navigating the digital beat: a review of social media as a public engagement tool in policing

PurposeThis article explores the changing nature of social media use as a public engagement tool by police services.Design/methodology/approachA comprehensive review is conducted of academic studies from criminology and policing journals. Sources are identified from key academic databases and are analysed in relation to three decades (2000–2009, 2010–2019 and 2020 to present) to show how the use of social media has changed over time.FindingsThe way in which social media is used in policing has changed considerably over time. From initial enthusiasm, it is found that there is growing scepticism in the use of social media as a public engagement tool. After an initial proliferation in use, there is then increasing consolidation and control in response to concerns about reputational risk.Research limitations/implicationsThe research highlights underlying dynamics of engagement and retrenchment, which offer important insights for how we understand public engagement and value creation in policing and emergency services more generally. We draw on academic research from English-language academic journals, but we have endeavoured to include research from the broadest possible range of countries.Practical implicationsThis study demonstrates how the police and other public services must respond to the growing use of social media by the public to maximise value creation whilst minimising the threats that come from potential value destruction.Originality/valueThis study is the first to comprehensively review the policing and criminology literature related to social media and to apply a public engagement lens to this analysis.

The The Influence Of Media On Teenagers In Choosing Panjang Beach For Tourism In The Digital Era

Abstract: Social media has become essential for tourism promotion in this digital era. This research analyses the influence of social media platforms on tourism promotion in Bengkulu, using James S. Coleman's rational choice theory. This research uses a closed questionnaire given to 90 students who use social media to find a tourism destination. The analysis technique used is multiple linear regression analysis and percentage descriptive statistics. The results showed that the review of social media posts significantly influenced teenagers' interest in visiting a destination. 52.22% of respondents prefer Instagram as their travel reference, supported by reviews of tourist destinations in promotional posts. Tourism destinations that are active and creative in utilizing social media and have good reviews tend to have a higher level of interaction with potential tourists. The results of this study guide tourist destinations and tourism marketers to maximize the potential of social media in their promotion.

A systematic review of the nexus between climate change and social media: present status, trends, and future challenges

Social media and climate change are some of the most controversial issues of the 21st century. Despite numerous studies, our understanding of current social media trends, popular hot topics, and future challenges related to climate change remains significantly limited. This research presents a systematic review of climate change and social media for the first time. Review the studies published between 2009 and 2022 in places like Google Scholar, Science Direct, Web-of-Science, Scopus, ResearchGate, and others. For this systematic review, we found 1,057 articles. Forty-five articles were the most relevant according to our goals and study design, which followed the PRISMA framework. The results of this review demonstrate that Twitter is the most popular platform. Every year, we identify rising trends in the number of publications. Past studies often focused on just one social media site, like Twitter (n = 26) or Facebook (n = 5). Although most studies focus on the United States, the study area is primarily “all over the world.” This study offers a theoretical framework by examining the relationship between social media platforms and the discourse surrounding climate change. It looked into how social media trends influence public perception, raise awareness, and spur action on climate change. In practical terms, the study focuses on important and trending topics like nonbelievers and climate change. The contribution consists of synthesizing the body of research, providing insights into the state of the digital world, and suggesting future lines of inquiry for the field of social media and climate change studies. We highlighted the studies’ quality assessment result of “moderate quality.” This systematic review provides information about how climate change is now portrayed on social media and lays the groundwork for further study in this area.

Exploring the Impact of E-WOM Information via Social Media on Customer Purchasing Decision: A Mediating Role of Customer Satisfaction

The study investigates the impact of E-WOM information on purchasing decisions, using customer satisfaction as a mediator. It examines E-WOM information as independent variables, such as quality, quantity, and credibility, and as dependent variables, such as consumer satisfaction and purchasing decisions, with customer satisfaction serving as a mediator to investigate the relationship between E-WOM information and purchasing decisions. A questionnaire was issued to 307 social media-active clients, and the hypotheses were tested using quantitative methods. Data analysis comprised descriptive statistics, Cronbach's alpha, skewness and kurtosis, and Pearson correlation coefficient, as well as a fit model for measuring questionnaire reliability and validity, regression for sub-hypotheses, and a path model for evaluating main hypotheses. The findings revealed that all three dimensions of E-WOM information had a positive impact on customer satisfaction and purchase decisions, both individually and jointly. Customer satisfaction has a positive influence on purchasing decisions. Furthermore, E-WOM information has been shown to positively impact purchasing decisions via consumer satisfaction. The study suggests that organizations should understand the dimensions that impact customer satisfaction and purchasing decisions in order to fulfill their goals, remain ahead of the competition, and obtain a competitive advantage. Proper tracking of social media reviews, comments, and recommendations may help organizations deliver answers, increase customer satisfaction, and aid in making purchasing decisions

E-wom and territorial analyses: the use of opinion mining in tourism

In the digital age, social media and electronic word of mouth (eWOM) have fundamentally transformed several industries, including tourism. This paper explores how opinion mining (also known as sentiment analysis) can be a strategic tool for tourism stakeholders to extract and analyse data from social media reviews and posts. The aim is to provide actionable insights to enhance customer satisfaction and destination management by assessing the sentiment expressed in online content. From a methodological viewpoint, the implemented approach integrates qualitative and quantitative data with textual data to delve into opinions embedded in eWOM. The analyses help identify patterns and trends in tourists’ feedback, offering a valuable framework for understanding their behaviour and leveraging this information for the stakeholders’ specific purposes. A case study on Naples (Italy) highlights the potential of sentiment analysis in tourism, suggesting future research directions. Practical applications range from improving customer satisfaction and destination reputation to guiding marketing strategies and supporting sustainable tourism development.

Navigating the green beauty boom: Unveiling the influence of social media on consumer behavior in the organic cosmetics industry

It has been evident in the recent years that the natural and organic segment particularly in the beauty industry is steadily growing with people’s awareness of the health effects of using natural products. Today, social networks are the main driving force affecting consumer attitude and their behavior concerning this sector. This paper will seek to evaluate the utility of social media and the purchase pattern in the organic cosmetics sector. The ‘literature review outlines several that have led to what is commonly referred to as the ‘green beauty boom’ The theoretical framework entails theories from the marketing channel that regards consumer behavior within the social media and eWOM contexts. The research designed consisted of a written self- administered survey and face- to face interviews with fifteen consumers of organic beauty products within the age range of 18-35 years whereby data was gathered and analyzed qualitatively by the use of thematic analysis. Stylized facts also establish how the content on social media platforms and reviews influence distinct stages in the consumer decision process of organic cosmetics. Of all the mentioned evaluative resources, those commonly used by consumers include resources accessed from social media sites. Moreover, as to the communities of people, who are interested in organic lifestyles or natural products influencing the degree of positive attitudes in the usage of natural ingredients and environmental sources. Consequently, the author discusses the subsequent marketing implications for the brands based on the paper and provides ideas for the subsequent brand development, the opportunities, and the possible ethical issues that should be considered by brands in the context of this area. From this study further research can be made to contribute to the mass pool of data that helps in understanding new media that constitutes consumer culture today.

Pengaruh Media Sosial, Celebrity Endorser, dan Online Customer Review Terhadap Keputusan Pemblian Produk Kosmetik Pinkflash di Kabupaten Dompu

This research aims to test and analyze the influence of Social Media, Celebrity Endorser, and Online Customer Reviews on the Purchasing Decisions of Pinkflash Cosmetic Products in Dompu Regency. The population in this study were people in Dompu Regency who had purchased Pinkflash cosmetic products. The sample in this study consisted of 94 respondents. The sampling technique employed in this research was non-probability sampling using purposive sampling method. Data analysis in this study utilized multiple linear regression analysis, and all data were processed using SPSS Statistics 25. The results of testing and statistical data analysis indicated that the indicators in the study were valid, where in the classic assumption test, the data were normally distributed and there was no multicollinearity. The results of this study indicate that Social Media and Online Customer Reviews have a positive and significant influence on Purchasing Decisions, while Celebrity Endorser does not have a significant influence on Purchasing Decisions.

Digital threads of architectural heritage: navigating tourism destination image through social media reviews and machine learning insights

ABSTRACT While emphasizing sustainable development goals for cultural heritage preservation, tourism destination image based on the predefined traditional survey often fails to meet the dynamic tourist demands. Taking the Nanjing Museum of Modern History in China as a case study, this paper innovatively combined the Latent Dirichlet Allocation (LDA) and Importance-Performance Analysis (IPA) to quantitatively extract and assess the destination image from the social media data. The results demonstrated that the tourists mainly focused on 12 topics from individual, environmental, and social backgrounds, mostly on architectural style, transportation, and location. Tourists perceived most positive sentiments in historical culture (84.94%), and architectural style (70.54%), but most negative sentiments in ticket purchasing experience (27.60%), living and service facilities (14.09%). The IPA results reveal that historical culture is the strength, yet there is an overemphasis on historical events. This research marked a methodological advancement by combining LDA and IPA, enabling a detailed analysis of vast online reviews and providing critical insights for improving the tourism destination image in architectural heritage studies.

PENGARUH SOSIAL MEDIA MARKETING, E-SERVICE QUALITY, DAN REVIEW CONTENT TERHADAP MINAT BELI KONSUMEN BOX OUTLET SINGARAJA

This study aims to examine the influence of Social Media Marketing, E-Service Quality, and Review Content on consumer buying interest in Singaraja Box Outlet Stores. The population in this study includes all Singaraja Box Outlet Store consumers from various walks of life, both men and women. The sample used in this study was 85 consumers selected through a questionnaire technique distributed using Google Form. This study used a quantitative approach and the data was analyzed by multiple linear regression method using IBM SPSS Statistics 25 application. The results showed that Social Media Marketing, E-Service Quality and Review Content proved to have a positive and significant influence on consumer buying interest in Singaraja Box Outlet Stores

The Role of Social Media Review Intensity in Mediating the Influence of Perceived Usefulness and Trust on Tourists' Intention to Visit Beaches in Yogyakarta

The Role of Social Media Review Intensity in Mediating the Influence of Perceived Usefulness and Trust on Tourists' Intention to Visit Beaches in Yogyakarta

Assessing Patient Satisfaction Following Facelifts with Social Media Reviews.

Facelifts are one of the most common facial aesthetic surgery procedures. Patient satisfaction determines success of most aesthetic surgery but has been historically difficult to assess. This study evaluated reviews by facelift patients on the aesthetic surgery social media website RealSelf.com to determine positive and negative factors underlying patient satisfaction following facelifts. Facelift reviews were gathered from RealSelf.com with an automated web crawler. Reviews were categorized as positive or negative and by the primary and secondary reasons for the positive or negative review. Patient "worth it" and star ratings, physician specialty, and cost of procedure were also collected. A total of 2153 facelift reviews were collected. Overall, 1986 (92.24%) were positive and 167 (7.76%) were negative. The most common overall reasons for a positive review were aesthetic results (n=1571, 79.10%) and bedside manner (n=1488, 74.92%). The most common overall reasons for a negative review were outcome (n=137, 82.04%) and bedside manner (n=82, 49.10%). Most facelifts were performed by plastic surgeons (n=1796, 83.42%). The greatest 5-star rating percentages were seen for oral and maxillofacial surgeons (n=29, 93.55%), otolaryngologists (n=96, 92.31%), and plastic surgeons (n=1642, 91.43%). Of patients who provided a "worth it" rating, 1216 (91.91%) stated that their facelift was "worth it." Overall patient sentiment toward facelifts was positive. The factors most commonly affecting a positive patient experience were bedside manner and aesthetic results. Negative patient reviews were primarily attributed to dissatisfaction with aesthetic outcomes. Social media serves as a valuable tool for evaluating patient satisfaction with aesthetic surgery. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

A critical review of social media advertising literature: Visualization and bibliometric approach

A critical review of social media advertising literature: Visualization and bibliometric approach

Developing Causality and Severity Assessment Frameworks for Food Safety Signals Using Social Media Reviews: A Technical Report Based on Data From an Urban Indian Suburb.

Social media reviews are a valuable data source, reflecting consumer experiences and interactions with businesses. This study leverages such data to develop a passive surveillance framework for food safety in urban India. By employing a Bidirectional Encoder Representations from Transformers (BERT)-powered Aspect-Based Sentiment Analysis tool, branded as Eat At Right Place (ERP), the study analyses over 100,000 reviews from 93 restaurants to identify and assess food safety signals. The Causality Assessment Index (CAI) and Severity Assessment Score (SAS) are introduced to systematically evaluate potential risks. The CAI uses pattern recognition and temporal relationships to establish causality while the SAS quantifies severity based on sub-aspects such as cleanliness, food handling, and unintended health outcomes. Results indicate that 40% of the restaurants had a CAI above 1, highlighting significant food safety concerns. The framework successfully prioritizes corrective actions by grading the severity of issues, demonstrating its potential for real-time food safety management. This study underscores the importance of integrating innovative data-driven approaches into public health monitoring systems and suggests future improvements in natural language processing algorithms and data source expansion. The findings pave the way for enhanced food safety surveillance and timely regulatory interventions.

Investigation on construction characteristics and indoor environmental quality of Fangcang shelter hospitals during the COVID-19 pandemic in Shanghai, China

Since the rapid spread of COVID-19 in late 2019, Fangcang shelter hospitals have become crucial components of urban healthcare facilities. However, there remains a lack of systematic research on the performance assessment of Fangcang shelter hospitals. This study evaluated the construction efficiency, facility allocation, and indoor environmental quality (IEQ) of 115 Fangcang shelter hospitals in Shanghai. Based on the Bidirectional Encoder Representations from Transformers (BERT) model, 51,040 social media reviews were processed to evaluate the prevalence of IEQ complaints. The results show that Fangcang shelter hospitals renovated from exhibition halls have the fastest median construction speed (58.2 bed/h), closely followed by office buildings (41.7 bed/h), while containers were the slowest (9.1 bed/h). Notably, there is a power function relationship between the bed capacity and construction speed (R2 = 0.81), indicating a scale effect. As for the indoor environment, toilet comfort issues comprise 31.2 % of the total complaints, followed by complaints about acoustics (22.8 %), hygiene (12.0 %), and thermal (11.2 %). Container-built Fangcang shelter hospitals face significant challenges to the acoustic (40 %) and thermal (15 %) environment, while renovated facilities encounter more problems with toilet facilities and privacy. We also found that the proportion of indoor air quality (IAQ) issues increases as the average bed area decreases across facilities renovated from factories, exhibition halls, and office buildings. These findings offer valuable insights into Fangcang shelter hospitals, which can be considered in future planning and spatial optimization of emergency shelters.

BC06 A systematic review of social media and Melanotan, the ‘Barbie drug’

BC06 A systematic review of social media and Melanotan, the ‘Barbie drug’

Filling the void: arts and culture institutions as socio-political actors in East Jerusalem

ABSTRACT Scholars have explored arts and culture institutions from various perspectives, including gentrification, activism, and economic development. Studies have also demonstrated how arts and culture initiatives are often at the center of conflicts concerning a city’s identity. In an ethno-nationally divided city, the already conflictual role of arts and culture is further exacerbated by national-level politics. However, so far academic literature has neglected this aspect. Our research investigates the nexus of arts, culture, and political engagement in East Jerusalem, exploring how stakeholders in the field of arts and culture perceive their approaches and strategies as political actors in a highly contested urban space. We employ a qualitative research design that builds on a case study methodology and includes in-depth interviews and ethnographic observations, complemented by a print and social media review. Our findings suggest that in contested urban environments such as East Jerusalem, arts and culture institutions cannot uphold a purely aesthetic approach or escape political questions. Nevertheless, urban and civic engagement is understood differently by various stakeholders, on a spectrum from “artistic” to “political.” Findings from this research could facilitate an examination of the role played by arts and culture institutions in other politically charged, ethnically and religiously diverse cities.

Generational Exploration on Aesthetic Medicine Products: Influence of Social Media, Reviews, and Brand Identity-GEMS Bond Survey.

The study investigates the impact of social media reviews and brand identity on consumer preferences in the non-surgical aesthetics products across different generations. It highlights the evolving landscape of aesthetic medicine and surgery, driven by technological advancements and a cultural shift towards individual well-being. The research aims to explore the interplay between generational preferences, the influence of social media, and the role of brand identity in shaping consumer decisions. A cross-sectional study design was employed, with a sample size of > 5000 participants stratified across various generational cohorts. The study utilized an online questionnaire to capture both quantitative and qualitative insights into consumer behaviour, with statistical analysis performed to identify patterns and relationships. Analysis of 5850 responses revealed distinct generational preferences and behaviours. Social media engagement varied significantly across generations, with younger cohorts placing a higher emphasis on online reviews. The study also found that brand identity's influence is diminishing in decision-making processes, with consumers increasingly relying on peer reviews and social media content. The findings highlight a pivotal shift in the non-surgical aesthetics consumer market, emphasizing the growing importance of social media and peer reviews over traditional brand identities. Importantly, the study underscores the critical need for integrating patient safety and evidence-based practice within marketing strategies. As consumer preferences evolve towards valuing transparency and authenticity, non-surgical aesthetics providers must prioritize these elements, ensuring that their services are not only appealing but also grounded in safety and scientific validity. "This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 ."

Machine Learning-Based Social Media Review Analysis for Recommending Tourist Spots

In recent years, the tourism industry has witnessed significant growth, resulting in an increased demand for effective and personalized tourist place recommendation systems. In this study, a tourist spot recommendation system is proposed which is built by developing a machine learning model based on a Support Vector Machine (SVM), Decision Tree (DT), and k-Nearest Neighbors(k-NN). Public experiences and opinions regarding the various spots available in popular social media sites such as TripAdvisor, Google, Instagram, and TikTok are utilized to train the model. The system matches the probability of the user query with the predicted probability of reviews for a particular spot. The SVM algorithm, known for its robustness in handling high-dimensional data, is adapted to model the complex relationships between users' reviews, spots, and their attributes. Real-world data is used to evaluate the system's performance, demonstrating its ability to significantly improve the user experience and contribute to the sustainable growth of the tourism sector. The system's capability was demonstrated as it achieved a notable F1-Score of 0.78 when SVM was implemented. Additionally, a promising accuracy rate of 93.023% was observed when random queries were used for tourism spot prediction, emphasizing that SVM outperformed DT and k-NN.