Social Media Reviews Research Articles

A scoping review of social media use as a form of engagement among people with dementia

AbstractBackgroundThere are an estimated 50 million adults living with dementia worldwide, a number that is projected to triple by 2050 (Patterson, 2018). Because there is no cure for Alzheimer’s disease and other dementias, maintaining and supporting quality life are among the most important care targets. Engagement in meaningful and purposeful activities is a cornerstone of quality of life, however opportunities for participation in meaningful activities can be limited for people with dementia (Wenborn et al., 2008). Although social media has the potential to be a source of engagement and connectivity for people with dementia, there is little known about the impacts of social media use on engagement‐related outcomes in people with dementia.MethodTwo databases (PubMed and PsychINFO) were searched from 2000 through November 12st, 2021 for English‐language articles with search terms relating to dementia and social media in the title. The search returned 23 articles after removal of duplicates with 7 selected for inclusion into the review.ResultAlthough there has been an increase in the scholarly exploration of using social media as a tool or raising awareness about dementia and providing a space for connection for carers, there is little research examining social media use in people with dementia. The research that does exist has primarily explored Twitter use and people with early‐onset dementia. Themes that emerged from the articles reviewed included 1) social media use as a tool to counter loss of identity, 2) social media as a forum for support following a diagnosis, 3) a need for greater accessibility, 4) the presence and lack of consideration regarding safety and privacy risks, and 5) dementia activism as a source of engagement and purpose.ConclusionThe potential for social media to be a tool for social engagement for people living with dementia is relatively unexplored as are the considerations for safety and privacy. There is a need to more broadly understand the patterns and context of social media use among people with dementia. There are also opportunities for interventions using social media as a pathway to intergenerational and social connection, meaningful engagement, and cognitive stimulation.

Fine Grained Analysis of Intention for Social Media Reviews Using Distance Measure and Deep Learning Technique

Intent analysis and classification are performed to identify the expressions of intent in the given text. In this paper, the dataset is classified into emotion classifications by utilizing machine learning model SVM, Bipolar classification, Fine Grained Analysis, and Sarcasm detection, with Naïve Bayes and Random Forest techniques of deep learning, including Long Short-Term Memory to perform intention analysis on social media data. Then Fine-grained or Multi-Class Sentiment analysis is used for further classification of the five classes, viz. negative, strong negative, neutral, positive, and strong positive, which detects the sarcastic reviews in the movie dataset. The emotional intention behind the review comments is classified as happiness, rage, sadness, joy, anger, and disgust by using SVM. The reviews are analyzed and calculated based on their subjectivity and context level similarity using Related Relaxed Word Mover Distance (RRWMD) semantic similarity measure. With the advantage of the RRWMD algorithm, the reviews from the context containing deviated or irrelevant contents were removed before being applied to the classification algorithms, thereby reducing the execution time, which obtains a 3% improvement in accuracy. The disadvantage of the RRWMD algorithm is only one deep learning algorithm is compared. From the observed accuracy scores and classification reports, the LSTM has provided higher accuracy, despite the long execution time. The Naïve Bayes model has produced lower accuracy than the neural network model but was efficient, taking less time to fit and classify. The results from various experiments have proven that the semantic similarity measure provides more accurate results than the state-of-the-art model.

Will Great Power Come with Great Responsibility Only? A Dual Model of Consumer Power and Negative WOM on Social Media Review Platforms

With the popularization of social media and review platforms, customers play a role as reviewers and realize an online power to influence others. This paper attempts to examine the effect of power, and its underlying mechanisms, on the intention to share negative word-of-mouth (NWOM). Integrating self-determination theory with the agentic-communal framework, we propose a research model investigating communal and agentic drives on NWOM sharing. The results show that power is positively related to NWOM, while both prosocial motivation (the communal drive) and self-enhancement (the agentic drive) mediate the relationship. As extrinsic conditions, brand awareness and compensation buffer the mediating effect of power on NWOM through prosocial motivation and self-enhancement. In addition, three-way interaction results indicate that the indirect effects through prosocial motivation and self-enhancement are both the strongest when brand awareness is lower and there is no compensation. Yet the indirect effects become non-significant when well-known brands offer compensation. This study contributes new insights to the theoretical development and provides practical implications for WOM marketing.

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.