Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review

Author(s):  
Emily J. Wilkins ◽  
Spencer A. Wood ◽  
Jordan W. Smith
Author(s):  
Roberto Cancio

Military sexual violence (MSV) is a prevalent issue that uniquely affects mission readiness. Although research on MSV and social media is growing, examinations of possible interventions like those employing social media in this population are scant. Given the growing interest in targeting MSV, the present systematic review was conducted. The PRISMA framework was used to conduct a systematic review of MSV and social media ( N = 71). Queries were limited to articles published between 2010 and 2020. SAGE Journals, PubMed, and JSTOR were utilized. Terms and potential combinations were entered into the databases in varying Boolean combinations. Additional recorders were identified for inclusion via the reference sections of relevant records. After removing duplicates from the query results, we selected records of suspected relevance by title and screened abstracts. Finally, articles with relevant abstracts were reviewed thoroughly to determine whether they met inclusion criteria for the review. The employments of military leaders in a social media intervention puts into practice the military’s central values and development of its leadership core. This intervention promotes group solidarity while maximizing conversations around meaningful messages. Findings in this review suggest military leaders could feasibly employ a cost-effective global intervention using social media, as a tool to help actively address MSV.


2021 ◽  
Vol 13 (1) ◽  
pp. 377
Author(s):  
Zachary D. Miller ◽  
Wayne Freimund ◽  
Stefani A. Crabtree ◽  
Ethan P. Ryan

Cultural resources are commonly defined as resources that provide material evidence of past human activities. These resources are unique, as they are both finite and non-renewable. This provides a challenge for traditional visitor use management since these resources have no limits of acceptable change. However, with nearly every national park in the US containing cultural resources, coupled with ever-growing visitation, it is essential that managers of parks and protected areas have the ability to make science-informed decisions about cultural resources in the context of visitor use management. We propose a framework that can help provide context and exploration for these challenges. Drawing on previous literature, this framework includes risk-based approaches to decision making about visitor use; visitor cognitions related to cultural resources; emotions, mood, and affect related to cultural resource experiences; creating and evaluating interpretive programs; deviant visitor behaviors related to cultural resources; and co-management.


2021 ◽  
Vol 28 (1) ◽  
pp. e100262
Author(s):  
Mustafa Khanbhai ◽  
Patrick Anyadi ◽  
Joshua Symons ◽  
Kelsey Flott ◽  
Ara Darzi ◽  
...  

ObjectivesUnstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of the literature on the use of natural language processing (NLP) and machine learning (ML) to process and analyse free-text patient experience data.MethodsDatabases were systematically searched to identify articles published between January 2000 and December 2019 examining NLP to analyse free-text patient feedback. Due to the heterogeneous nature of the studies, a narrative synthesis was deemed most appropriate. Data related to the study purpose, corpus, methodology, performance metrics and indicators of quality were recorded.ResultsNineteen articles were included. The majority (80%) of studies applied language analysis techniques on patient feedback from social media sites (unsolicited) followed by structured surveys (solicited). Supervised learning was frequently used (n=9), followed by unsupervised (n=6) and semisupervised (n=3). Comments extracted from social media were analysed using an unsupervised approach, and free-text comments held within structured surveys were analysed using a supervised approach. Reported performance metrics included the precision, recall and F-measure, with support vector machine and Naïve Bayes being the best performing ML classifiers.ConclusionNLP and ML have emerged as an important tool for processing unstructured free text. Both supervised and unsupervised approaches have their role depending on the data source. With the advancement of data analysis tools, these techniques may be useful to healthcare organisations to generate insight from the volumes of unstructured free-text data.


Author(s):  
Nathan A. Shlobin ◽  
Steven C. Hoffman ◽  
Jeffrey R. Clark ◽  
Benjamin S. Hopkins ◽  
Kartik Kesavabhotla ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaista Salman Guraya ◽  
Salman Yousuf Guraya ◽  
Muhamad Saiful Bahri Yusoff

Abstract Background Despite a rapid rise of use of social media in medical disciplines, uncertainty prevails among healthcare professionals for providing medical content on social media. There are also growing concerns about unprofessional behaviors and blurring of professional identities that are undermining digital professionalism. This review tapped the literature to determine the impact of social media on medical professionalism and how can professional identities and values be maintained in digital era. Methods We searched the databases of PubMed, ProQuest, ScienceDirect, Web of Science, and EBSCO host using (professionalism AND (professionalism OR (professional identity) OR (professional behaviors) OR (professional values) OR (professional ethics))) AND ((social media) AND ((social media) OR (social networking sites) OR Twitter OR Facebook)) AND (health professionals). The research questions were based on sample (health professionals), phenomenon of interest (digital professionalism), design, evaluation and research type. We screened initial yield of titles using pre-determined inclusion and exclusion criteria and selected a group of articles for qualitative analysis. We used the Biblioshiny® software package for the generation of popular concepts as clustered keywords. Results Our search yielded 44 articles with four leading themes; marked rise in the use of social media by healthcare professionals and students, negative impact of social media on digital professionalism, blurring of medical professional values, behaviors, and identity in the digital era, and limited evidence for teaching and assessing digital professionalism. A high occurrence of violation of patient privacy, professional integrity and cyberbullying were identified. Our search revealed a paucity of existing guidelines and policies for digital professionalism that can safeguard healthcare professionals, students and patients. Conclusions Our systematic review reports a significant rise of unprofessional behaviors in social media among healthcare professionals. We could not identify the desired professional behaviors and values essential for digital identity formation. The boundaries between personal and professional practices are mystified in digital professionalism. These findings call for potential educational ramifications to resurrect professional virtues, behaviors and identities of healthcare professionals and students.


2021 ◽  
Vol 124 ◽  
pp. 329-341
Author(s):  
Giandomenico Di Domenico ◽  
Jason Sit ◽  
Alessio Ishizaka ◽  
Daniel Nunan

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