Social Media Reviews Research Articles

The Impact of social media on Brand Reputation and Consumer Behavior: An Analytical Perspective

Social media has completely changed how individuals interact, communicate, and absorb information. Additionally, it significantly affected consumer behaviour and brand reputation. This study offers an analytical viewpoint on how social media affects these two important domains. The research begins by examining the potential effects of social media on brand reputation. Social media platforms give customers a simple method to express their thoughts and share their interactions with brands. Positive or bad social media reviews have a big effect over a brand's distinction and sway potential customers. The study examines how social media impacts consumer behaviour. Consumers frequently turn to social media while making purchases because it is a source of product knowledge. Social media has also enabled the growth of influencer marketing, which has the power to drastically change consumer behaviour. The study highlights the significance of social media for both brands and consumers by offering a thorough analysis of the effects of social media on brand distinction and shopper behaviour

The Patient Experience of Acute Lymphoblastic Leukemia and Its Treatment: Social Media Review.

Adult patients with acute lymphoblastic leukemia (ALL) report substantial disease- and treatment-related impacts on their health-related quality of life (HRQOL). Patient-reported information (PRI) shared on social media may provide a distinct opportunity to understand the patient experience outside of formal research contexts and help inform the development of novel therapies. This qualitative social media review aimed to assess PRI shared on social media websites to gain a better understanding of the symptom, HRQOL, and treatment impacts on individuals with ALL. We identified English-language posts on 3 patient advocacy websites (Patient Power, The Patient Story, and Leukaemia Care) and YouTube that included PRI about experiences with ALL or ALL treatments shared by adults (aged ≥18 years) with a self-reported ALL diagnosis. Patients' demographic and disease characteristics were extracted from posts (where available), and the posts were analyzed thematically. A network analysis was conducted to delineate possible associations among ALL symptoms, HRQOL impacts, and treatment-related symptoms and impacts. Of the 935 social media posts identified, 63 (7%) met the review criteria, including 40 (63%) videos, 5 (8%) comments posted in response to videos, and 18 (29%) blog posts. The 63 posts were contributed by 41 patients comprised of 21 (51%) males, 18 females (44%), and 2 (5%) whose gender was not reported. Among the patients, 13 (32%) contributed >1 source of data. Fatigue (n=20, 49%), shortness of breath (n=13, 32%), and bruising (n=12, 29%) were the symptoms prior to treatment most frequently discussed by patients. Patients also reported impacts on personal relationships (n=26, 63%), psychological and emotional well-being (n=25, 61%), and work (n=16, 39%). Although inpatient treatment reportedly restricted patients' independence and social functioning, it also provided a few patients with a sense of safety. Patients frequently relied on their doctors to drive their treatment decisions but were also influenced by family members. The network analysis indicated that disease-related symptoms were primarily associated with patients' physical functioning, activities of daily living, and ability to work, while treatment-related symptoms were primarily associated with emotional well-being. This social media review explored PRI through a thematic analysis of patient-contributed content on patient advocacy websites and YouTube to identify and contextualize emergent themes in patient experiences with ALL and its treatments. To our knowledge, this is the first study to leverage this novel tool to generate new insights into patients' experiences with ALL. Patients' social media posts suggest that inpatient care for ALL is associated with restricted independence and social functioning. However, inpatient care also provided a sense of safety for some patients. Studies such as this one that capture patients' experiences in their own words are valuable tools to further our knowledge of patient outcomes with ALL.

A STUDY ON IMPACT OF SOCIAL MEDIA ON RECRUITMENT PROCESS

The impact of social media on recruitment has been significant in recent years. Social media platforms like LinkedIn, Facebook, Twitter, and Instagram have transformed the recruitment process by enabling recruiters to reach a wider pool of potential candidates, engage with them in a more personal way, and build relationships. By giving managers access to a bigger group of prospective applicants through social media, recruitment has become more effective and economical. Employers can find and acquire prospective prospects using social media platforms, review portfolios and applications, and evaluate candidate’s abilities and credentials. However, there are a number of difficulties associated with using social media for employment. Making sure that the use of social media in the employment process complies with data security rules is one of the biggest obstacles. The amount of confidential information applicants can share on social media sites could lead to unintentional prejudice in the hiring process. Another challenge is the difficulty in verifying the accuracy of candidate information on social media platforms. Some candidates may exaggerate or misrepresent their skills and qualifications, leading to challenges in accurately evaluating their suitability for a position Despite these challenges, social media continues to be a crucial tool for recruiters in identifying and sourcing potential candidates, building relationships, and promoting their organizations to a wider audience. Keywords: Recruitment, social media, Employee, Selection.

A Systematic Review of Social Media and Government in the Social Science Discipline

The technical viewpoint recognises the critical role of information and communication technology as a driving force in our time. The importance of public policy management in the environment of public service institutions and regional commands is investigated from the standpoint of public administration and the use of social media. Academics need to map out ideas about how social media and government interact. This research aims to see the important themes or issues raised by scholars in social media and their government articles. What are the comprehensive factors that influence the use of social media in government circles? The research method used was a literature review on social media and government by reviewing journal articles on social media and government published in Scopus as data-based and processed using the NVivo 12 Plus analysis tool. The results of this study reveal five significant problems between social media and the government. These problems include digital difficulties, policies, information, communication, and politics. This research also gave birth to social media and government, which must take the form of digital activism; secondly, access to information disseminated by the government through social media; and third, administrative communication, which looks at how ideas are offered via social media to the government. Fourth, to achieve social media and government goals, it is necessary to demonstrate ethical and political behaviour, formulate policies following those goals, and then evaluate those policies through the implementation of rules or laws.

Data and discourse: an assessment of Taksim urban design competition in terms of populism and participation

ABSTRACT This research presents perspectives on urban design competitions from both professionals and the general public by utilizing two sets of data: a review of professional discussions and social media commentaries on the competition. The international urban design competition for Taksim Square, held during the global pandemic lockdowns, generated a substantial record of the process, offering a rare opportunity to revisit existing literature and gain new insights into urban design competitions. The findings are evaluated through the framework of participation and populism.

A systematic review of social media as a teaching and learning tool in higher education: A theoretical grounding perspective

The use of social media in higher education has been demonstrated in a number of studies to be an attractive and contemporary method of teaching and learning. However, further research and investigation are required in order to align social media's pedagogical benefits with the theoretical perspectives that inform educational practices. It is the objective of this study to provide a systematic literature review using bibliometric analysis techniques and content analysis to provide a map of research produced between 2009 and 2021. This study aims to identify theoretical frameworks, current research trends, and patterns in this field. A total of 772 publications were analysed using bibliometric methodology, while a subset of 55 publications were analysed using content analysis. As indicated by the results, there is still a growing interest in this area of research, with recent studies still focusing on attitudes towards the use of social media in teaching and learning. According to the content analysis, technology acceptance theories and learning theories are the most commonly used reference theories. This field has yet to elaborate on pedagogical theory, and there is a tendency to rely primarily on technology acceptance models rather than pedagogical models. A discussion of future practice and research implications is also provided.

Best time to post and review on Facebook and Instagram: analytical evidence

PurposeThe study aims to investigate the time for social media posts and reviews in order to determine the best timing to ensure maximum outreach and interactions from users. The study intends to analytically investigate a company's Facebook and Instagram pages to get meaningful insights for effective post management.Design/methodology/approach “Great Deal Tires” company’s Facebook and Instagram business pages were taken as the case study and patterns and analytical insights for different posts using Facebook and Instagram analytics were identified. The study categorically selected posts from Facebook pages and Instagram pages that were posted at different times and assessed on their impact.FindingsAccording to the study, Tuesday and Wednesday have higher engagement on the Great Deal Tires Facebook page, while Friday has higher engagement on Instagram. The study also provided valuable insights into post content and timing in order to increase the marketing impact of the posts.Originality/valueThe study provides an analytical framework for analyzing post and review timing on various company business pages, allowing marketers to initiate more user visits and interactions.

‘Seeing is experiencing’: impact of showcasing fashion merchandise on digital platforms

Purpose The principal purpose of this study is to analyze the consumer emotions on virtual merchandising in the context of social consumption ecosystem driven by value and lifestyle across the big middle consumer segment. Design/methodology/approach The qualitative information has been collected from 114 respondents selected through snowballing technique within the metropolitan area of Mexico City. A semi-structured research instrument was used to conduct the in-depth interviews online. Findings The results of the study indicate that technology-led virtual merchandising stimulates arousal and merriment among consumers, which converges the self-image congruence and appearance similarity. The subjects of the study have endorsed that visual stimulus leading to self-image and body image congruence develop consistent arousal and merriment, which lead to positive purchase intentions and buying decisions and inculcate the perception as seeing is experiencing. Research limitations/implications The samples drawn for this study may also limit the possibilities of generalization of the study results and map the consumer behavior in a predetermined pattern. Practical implications This study is founded on the theoretical maxims of theory of visual perceptions, cognitive theory of reasoning, theory of appearance and reality and Heider’s balance theory and contributes to these theories by explaining the relationship between the social self-concept and self-image congruence. Social implications Firms retailing online fashion apparel should also be engaged in developing user-generated contents through communications on social media encouraging experiential videos, slogans and reviews. Originality/value This paper significantly contributes to theoretical and practical implications on virtual shopping, emotions and beliefs and consumption culture.

The condition, use and future of the UK's largest accessible dinosaur tracksite at Spyway Quarry, Dorset

Spyway Quarry in Dorset contains >100 tracks made by large sauropod dinosaurs walking across what was a shelly beach in the Early Cretaceous. It is the largest in situ easily accessible UK dinosaur tracksite, a unique location for the public to directly engage with dinosaurs. Following consultation on how best to open and manage the site considering its 'value', longevity, and resources available, it was left unstaffed with the track surface directly accessible. The site has been open to the elements since 2013 and to the public since 2016. We created a new photogrammetric model of the site in 2021, for comparison with an existing 2014 model to identify any changes in the trackway surface and to assess the sustainability of direct public access and weathering to the surface. To understand public use of the site, we installed a visitor counter, compiled social media reviews, and analysed photographs of visitor's movement on the quarry surface. We provide quantitative evidence for exfoliation of the track surface and reduction in the prominence of individual tracks over time primarily due to natural processes. Visitor data suggest ~10,000 people visit annually, and feedback suggests potential improvements to visitor directions and information. We do not recommend substantial changes to the site management plan given resource constraints. Our work highlights the importance of using 3D imaging techniques to document sites upon discovery and thereafter and making these data openly available to all for conservation monitoring, communication and to preserve sites' legacies.

The New Era of Marketing in Plastic Surgery: A Systematic Review and Algorithm of Social Media and Digital Marketing.

Abstract Social media has been demonstrated to serve as a critical tool for plastic surgeons, facilitating patient engagement, peer-to-peer education and learning, and outreach to the broader public community. This study aims to perform a meta-analysis of data to determine the most valuable and useful social media platforms for practicing plastic surgeons developing their practice by assessing the perceived value to the practice and quantifying return on investment. A systematic review was performed using PubMed (National Institutes of Health, Bethesda, MD). The initial search yielded 3592 articles. Sixteen articles met inclusion and exclusion criteria. It was found that patients are more likely to engage with aesthetic content rather than scientific content. Younger generations are more likely to utilize Instagram (Meta, Menlo Park, CA), Snapchat (Santa Monica, CA), and TikTok (Culver City, CA), while older generations may be more likely to utilize Facebook (Meta, Menlo Park, CA) and YouTube (San Bruno, CA). Age-specific recommendations include utilizing Instagram, Snapchat, and TikTok with emphasis on breast augmentation for patients aged 17 and 35 given this is the most common procedure performed for this age group. Patients between the ages of 36 and 70 are most likely to be engaged on Facebook, Instagram, and Facebook with liposuction being the most common procedure in this age group. For ages 70+, patients are most likely to utilize Facebook with the most common procedure performed as blepharoplasty. Effective social media marketing for the plastic surgeon considers delivering the right content and choosing the right platform. The right content and platform are critically dependent on the specific age of the audience. Level of Evidence: 3

Investigating the credibility of online travel reviews adoption in trip planning intention among Indian travellers

Travelers evaluate online travel reviews usage through their argument quality and credibility of the source. As a result, travel marketers such as hoteliers, destination marketers and travel agency websites managers should set up mechanisms to assess tourists' concern to avoid unfavorable experience from social media reviews. Accordingly, this study aims to develop a scale and validate the modified Information Adoption Model (IAM) in the tourism context, while studying the impact of online review usefulness on its adoption. Secondly, the mediation role of travelers' attitude toward online reviews between review usefulness and its adoption is determined. Further, the credibility of online travel review adoption on the behavioral intentions of travelers has been assessed. This paper adapts the modified IAM given by Abedi et al. (2019) to develop scale and provide a comprehensive model in the tourism context. The study used 284 travelers who use online travel reviews from social media for their trip planning to evaluate the proposed model through SmartPLS software. The results show that online travel review usefulness significantly affects online travel review adoption. Secondly, the relationship between online review usefulness and its adoption is fully mediated by the mediating variable (attitude towards online travel reviews). Hence, this empirical paper intends to add to the research on online travel review adoption by travelers for their trip planning, considering the forwarding of information as one of the behavioral intentions along with purchase intentions, which depicts the novelty of this paper.

A Case Study of Chinese Sentiment Analysis of Social Media Reviews Based on LSTM

Network public opinion analysis is obtained through a combination of natural language processing (NLP) and public opinion supervision, and is crucial for monitoring public mood and trends. Therefore, network public opinion analysis can identify and solve potential and budding social problems. This study aims to realize an analysis of Chinese sentiment in social media reviews using a long short-term memory network (LSTM) model. A dataset was obtained from Sina Weibo using a web crawler and cleaned using Pandas. First, Chinese comments regarding the legal sentencing in of Tangshan attack and Jiang Ge Case were segmented and vectorized. Thereafter, a binary LSTM model was trained and tested. Finally, sentiment analysis results were obtained by analyzing the comments with the LSTM model. The accuracy of the proposed model has reached approximately 92%.

SOCIAL MEDIA AND TOURISM: A SYSTEMATIC LITERATURE REVIEW

Purpose: This article focuses on a systematic literature review (SRL) of social media and tourism development and the level of attention given by researchers to undertaking research studies in this area. Reviews of the available literature have long been seen as a crucial step in determining the nature of the vast body of information in various fields of study and enabling further advancement. Design, methodology, and approach: To meet the research objective, the study has set inclusion and exclusion criteria. As a result, only the Scopus dataset was chosen as a data source; scholarly published papers in English have been included; and articles beyond 2015–2023 were excluded from the analysis. Furthermore, the nature and validity of the systematic review paper conducted on social media and tourism are examined and evaluated using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Findings: The study found that the number of research studies in the area of social media impact on the development of the tourism industry has been steadily increasing since 2015. However, a large amount of research work was produced by a few researchers who were interested in finding knowledge and sharing information on the subject matter. Moreover, the expansion of social media platforms has become a crucial tool to promote, guide, and develop the tourism sector. Now, due to the increasing integration between social media and tourism, they are inseparable. Practical implications: This paper suggests that the role of social media in tourism is that social media can retain visitors’ flow to the tourist area. Originality and value: The study contributes to having more knowledge of social media and tourism from the literature review.

An Ensemble Multi-Layered Sentiment Analysis Model (EMLSA) for Classifying the Complex Datasets

Sentiment analysis is one domain that analyzes the feelings and emotions of the users based on their text messages. Sentiment analysis of short messages, reviews in online social media (OSM), and social networking sites (SNS) messages gives the analysis of given text data. Processing short text and SNS messages is a very tedious task because of the restricted detailed information generally contained. Solving this issue requires advanced techniques that are combined to give accurate results. This paper developed an Ensemble Multi-Layered Sentiment Analysis Model (EMLSA) that exploits the trust-based sentiment analysis on various real-time datasets. EMLA is the combined approach with VADER (Valence Aware Dictionary and sEntiment Reasoned) and Recurrent Neural Networks (RNNs). VADER is the lexicon and rule-based sentiment analysis model that predicts the sentiments extracted from input datasets and it is used for training. The feature extraction technique is term-frequency and inverse document frequency. Word-Level Embeddings (WLE) and Character-Level Embeddings (CLE) are the two models that increase the short text and single-word analysis. The proposed model was applied to four real-time datasets: Amazon, eBay, Trip-advisor, and IMDB Movie Reviews. The performance is analyzed using various parameters such as sensitivity, specificity, precision, accuracy, and F1-score.

A Shift in the Tides? The Welcomed Proposal of Harshened FTC Guidelines for Social Media Reviews and Advertising

A Shift in the Tides? The Welcomed Proposal of Harshened FTC Guidelines for Social Media Reviews and Advertising

Quantitative Study of the Influence of Social Media Reviews on Brand Perception

Quantitative Study of the Influence of Social Media Reviews on Brand Perception

Factors Influencing the Information Adoption from Social Media review Platform: Extending Information Adoption Model (IAM) with Information Diagnosticity

Online reviews sufficiently influence the behavioural intention of the individual. The evolution of social media has added a new dimension to online reviews. The user can discuss the products and services or any brands with their networks through social media. The current study aims to identify the influence of information quality and information source credibility on information adoption from social media review platforms with the mediating role of information diagnosticity and information usefulness. The current study is a quantitative correlational study. Data were collected by conducting a survey on 225 Bangladeshi social media users, and all the data were analysed by SPSS and Smart-PLS software. The outcomes of the present study revealed that the association between information quality and source credibility with information adoption is mediated by information diagnosticity and information usefulness. The user would likely adopt the information if they can evaluate the information quality and information source credibility and perceive that information as useful and having the diagnostic ability. The current study contributes both theoretically and practically. From the theoretical perspective, this study contributes to a conceptual research framework that was developed by extending Information Adoption Model (IAM) by adding information diagnosticity. Practically, the findings contribute to both marketers and consumers by providing a clear understanding of the social media review and information. Finally, several limitations and future research directions were indicated at the end of the study.

On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training

Aspect-based sentiment analysis (ABSA) aims at automatically inferring the specific sentiment polarities toward certain aspects of products or services behind the social media texts or reviews, which has been a fundamental application to the real-world society. Since the early 2010s, ABSA has achieved extraordinarily high accuracy with various deep neural models. However, existing ABSA models with strong in-house performances may fail to generalize to some challenging cases where the contexts are variable, i.e., low robustness to real-world environments. In this study, we propose to enhance the ABSA robustness by systematically rethinking the bottlenecks from all possible angles, including model, data, and training. First, we strengthen the current best-robust syntax-aware models by further incorporating the rich external syntactic dependencies and the labels with aspect simultaneously with a universal-syntax graph convolutional network. In the corpus perspective, we propose to automatically induce high-quality synthetic training data with various types, allowing models to learn sufficient inductive bias for better robustness. Last, we based on the rich pseudo data perform adversarial training to enhance the resistance to the context perturbation and meanwhile employ contrastive learning to reinforce the representations of instances with contrastive sentiments. Extensive robustness evaluations are conducted. The results demonstrate that our enhanced syntax-aware model achieves better robustness performances than all the state-of-the-art baselines. By additionally incorporating our synthetic corpus, the robust testing results are pushed with around 10% accuracy, which are then further improved by installing the advanced training strategies. In-depth analyses are presented for revealing the factors influencing the ABSA robustness.

IDENTIFICATION DIGITAL TOURIST PREFERENCES USING SENTIMENT ANALYSIS: DEALING IN POST-PANDEMIC COVID-19

This aims to determine the post-pandemic impact on tourism in Rembang based on the results of community study using social media review. To achieve this goal, this study conducted a sentiment analysis of public comments/reviews regarding travel preferences after the COVID-19 pandemic using the support vector machine (SVM) classification method for digital tourism. Digital tourism is one of the innovations used to maintain the existence of tourism during the COVID-19 pandemic. At present the Covid-19 cases are starting to tilt, the number of tourist visitors has increased because the Indonesian government has begun to relax policies regarding the prevention of COVID-19. This also happened in Rembang Regency. Based on the Minister of Tourism and Creative Economy Regulation Number 9 of 2021 concerning Guidelines for Sustainable Tourism Destinations, digital tourism will boost the regional economy. To measure people's views, the sentiment analysis method is used to see people's preferences. The results accuracy value of 83% and an AUC value of 82.3% show the level of confidence on community reviews/comments using several digital platforms such as Twitter, YouTube, and the Rembang local government website in the good category. The classification of community preferences is stated in 2 groups, the first is the people says post-pandemic digital tourism must be developed, and the second states that they have decided to come directly to tourist attractions after Covid-19 in Rembang regency. Research suggestions for local governments to continue to develop digital tourism and continue to improve real tourism facilities and infrastructure in Rembang regencyt, where the pathway will increase tourist visits and the economy of the community around tourist attractions.

Content identification for the multifocal contact lens patient‐reported outcomes (MCL‐PRO) instrument item bank

AbstractPurpose: Patient‐reported outcomes (PROs) have become remarkably important in the optometric field and now, are essential for healthcare clinical trial end points. However, being presbyopia an important topic in this field and multifocal contact lenses an increasingly popular method for its correction, no comprehensive, patient‐relevant, and precise multifocal contact lens specific PRO is available. Therefore, the purpose of this study was to identify content for the new Multifocal Contact Lens Patient‐reported Outcomes (MCL‐PRO) item bank.Methods: Four phases were conducted to identify the content: (1) Qualitative review of the literature and existing PRO optometric instruments; (2) Focus groups with presbyopic patients and optometric experts; (3) Review of social media on the subject; (4) Classification and selection of items.Results: A total of 305 unique items (extant items from PRO instruments and literature review, 53; patient focus group 192; experts focus group 47; social media review 9) were identified. The items were classified in 9 domains: Activity limitation (34 items); Visual symptoms (99 items); General symptoms (7 items); Ocular surface symptoms (48 items); Convenience (45 items); Emotional well‐being (40 items); Economic issues (10 items); Social issues (12 items); Cognitive issues (6 items).Conclusions: After a rigorous systematic identification of the content of topics important to the presbyopic population, 9 main domains were found. Most of the selected elements were identified from patient focus groups in the hope of getting as close as possible to the evaluation from the patient's point of view.