Media Feedback Research Articles

Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback

In recent years, social media has emerged as one of the main platforms for real-time reporting of issues during disasters and catastrophic events. While great strides have been made in collecting such information, there remains an urgent need to improve user reports’ automation, aggregation, and organization to streamline various tasks, including rescue operations, resource allocation, and communication with the press. This paper introduces an innovative methodology that leverages the power of prompt-based Large Language Models (LLMs) to strengthen disaster response and management. By analyzing large volumes of user-generated content, our methodology identifies issues reported by citizens who have experienced a disastrous event, such as damaged buildings, broken gas pipelines, and flooding. It also localizes all posts containing references to geographic information in the text, allowing for aggregation of posts that occurred nearby. By leveraging these localized citizen-reported issues, the methodology generates insightful reports full of essential information for emergency services, news agencies, and other interested parties. Extensive experimentation on large datasets validates the accuracy and efficiency of our methodology in classifying posts, detecting sub-events, and producing real-time reports. These findings highlight the practical value of prompt-based LLMs in disaster response, emphasizing their flexibility and adaptability in delivering timely insights that support more effective interventions.

The impact of social media reports on nurses’ job satisfaction: A cross-section suvery

This study aims to examine the impact of social media reports (SMR) on nurses' job satisfaction (NJS) and investigate the moderating effect of nurse manager overconfidence (NMO). Focusing on nurses in tertiary public hospitals in Guilin, China, we constructed an analytical dataset using survey data from January to June 2024 and social media comments collected through web scraping technology. Results reveal a significant positive correlation between SMR and NJS, indicating that increases in social media reports are associated with higher job satisfaction among nurses. However, when NMO acts as a moderating factor, the positive effect of SMR on NJS is attenuated, suggesting that overconfidence among nurse managers may diminish the influence of social media feedback. Furthermore, the study employs robustness tests, including the Replace Variables Method, Entropy Balancing Method, Instrumental Variable Method (IV-2LS), and Other Methods, effectively addressing endogeneity issues and confirming the reliability of these findings. This research offers theoretical support for enhancing hospital management and extends the literature on the moderating role of managerial characteristics on job satisfaction, providing practical insights for promoting high-quality hospital development.

Youths' sensitivity to social media feedback: A computational account.

While it is often argued that continuous exposure to social feedback is specifically challenging for the hypersensitive developing brain, empirical evidence is lacking. Across three studies, we reveal the developmental differences and computational mechanisms that underlie the social media engagement and feedback processing of adolescents and adults. First, using a reinforcement learning model on a large Instagram trace dataset (N = 16,613, 1.6+ million posts), we show that adolescents are more sensitive to social feedback than adults. Second, in an experimental study (N = 194), we show that adolescents' mood is affected more strongly by a reduction in likes than adults. Last, in a neuroimaging study (N = 96), we show that social media feedback sensitivity is related to individual differences in subcortical-limbic brain volumes of emerging adults. Together, these findings highlight the need for digital competence programs to help youth manage the constant feedback they encounter on social media platforms.

When Adolescents’ Self-Worth Depends on Their Social Media Feedback: A Longitudinal Investigation With Depressive Symptoms

While social media is assumed to exacerbate adolescents’ depressive symptoms, research findings are ambiguous. One way to move the field forward is by looking beyond time spent on social media and considering subjective experiences. The current three-wave longitudinal panel study examines the within- and between-person relations between adolescents’ self-worth dependency on social media feedback and depressive symptoms. About 1,607 adolescents participated in two of the three waves, yet a third had to be excluded due to failing an attention check. Among the analytical sample of 1,032 adolescents, we found that adolescents who derived more of their self-worth from social media feedback were also more depressed, as indicated by a positive correlation at the between-person level. No support was found for within-person associations over time. These results highlight the need to examine effects of subjective experiences with social media by separating within- and between-person dynamics to reach more precise conclusions.

Social media feedback and extreme opinion expression

On popular social media platforms such as Twitter, Facebook, Instagram, or Tiktok, the quantitative feedback received by content producers is asymmetric: counts of positive reactions such as ‘likes,’ or ‘retweets,’ are easily observed but similar counts of negative reactions are not directly available. We study how this design feature of social media platforms affects the expression of extreme opinions. Using simulations of a learning model, we compare two feedback environments that differ in terms of the availability of negative reaction counts. We find that expressed opinions are generally more extreme when negative reaction counts are not available than when they are. We rely on analyses of Twitter data and several online experiments to provide empirical support for key model assumptions and test model predictions. Our findings suggest that a simple design change might limit, under certain conditions, the expression of extreme opinions on social media.

The Influence of Media Coverage on UK Refugee Policy from the Perspective of Multiple Sources Theory

At this time in history, there have never been as many people displaced. How the problem has developed and expanded, as well as how media portrays refugees, are actively shaped by journalists, giving nations a unique cognitive platform to handle refugee issues and introduce policies in line with those needs.An important tool for dissecting the policy process and its policy implications, the multi-source theory analytical framework can provide new explanatory perspectives to explain the relationship between media coverage and the development of refugee policy in the UK. The paper assesses the driving role of media feedback mechanisms in the development of UK refugee policy using the issue, policy, and political source streams of the multi-source stream theory framework, using UK media coverage of the refugee Olympic delegation since 2016 as a vehicle. The issue stream, which uses media feedback as a cognitive mechanism, is not the main driver of the UK refugee policy agenda; the political and policy streams are more critical drivers in the government's policy development.

Women as a Growing Force in Critical Care Medicine-the Journal, Profession, and Society.

Women as a Growing Force in Critical Care Medicine-the Journal, Profession, and Society.

Effects of Social Media Feedback on Proactive Behaviors: The Role of Affect and Cognitions

In this study, we examine how feedback received by employees on social media affects their proactive behaviors at work. Drawing from the broaden-and-build theory of positive emotions, we posit that employees who receive favorable feedback on social media posts will experience elevated positive affect, energy, and relational self-efficacy, which will ultimately prompt their engagement in more proactive behaviors at work. To test this model, we surveyed 123 employees twice a week for eight weeks. The results indicated that the receipt of favorable feedback in the form of written comments (but not in the form of likes) on social media posts had an indirect effect on workplace proactive behaviors via increased positive affect, energy and relational self-efficacy.

Telerehabilitation for people with physical disabilities and movement impairment: development and evaluation of an online toolkit for practitioners and patients

Purpose Telerehabilitation has increasingly been used since the COVID-19 pandemic but with limited guidance available on undertaking physical assessments using remote methods. We aimed to provide such guidance by developing a Telerehab Toolkit, an online information and training resource for practitioners, patients, and carers on telerehabilitation for people with physical disabilities and movement impairment. Materials and methods Development and evaluation of the toolkit were informed by the Knowledge to Action framework and took place iteratively in two phases—knowledge creation and action. Information was collated from various sources including literature review, online survey, service evaluation, and focus group discussions. The toolkit has been evaluated using think-aloud interviews, e-mail and social media feedback from users, and analytics data on user engagement with the website. Results The Telerehab Toolkit focuses on remote physical assessments, and contains information on technology, digital skills, remote assessment tools, information governance, and safety for telerehabilitation. Resources include top tips from practitioners and patients, how-to guides, checklists, videos, and links to evidence. Conclusions The Telerehab Toolkit has been well-received by practitioners, healthcare students, patients, and carers, is being disseminated widely, and is freely available (www.plymouth.ac.uk/research/telerehab). IMPLICATIONS FOR REHABILITATION Telerehabilitation has been increasingly used since the COVID-19 pandemic, but with limited guidance and training for practitioners on undertaking safe and effective remote physical assessments. The Telerehab Toolkit has been developed iteratively using the Knowledge to Action framework; it is a free online resource for practitioners and patients with specific guidance on telerehabilitation for physical disabilities and movement impairment. It is anticipated that the resource will help to improve the knowledge, skills, and confidence of the current and future rehabilitation workforce.

Social media feedback. a different look at instagram as a collaborative learning tool

This study pretends to characterize the comments of instagram users to have an approval base from the conceptual and aesthetic point of view, to find out what effect has the feedback of this social network in the creation of creative concepts. We worked with the account "@distritovisual" where graphic pieces of bachelor’s students of Graphic Design in a private university in Guayaquil city where exhibited. A mixed approach with an exploratory-descriptive-causal scope was applied, an interview with an expert on the subject and the application of a rubric for the review and quantification of the comments of those who visited the profile, later these were analyzed by students for the respective conclusion in the decision making on the pedagogical relevance of instagram as a tool of collaborative learning that involves didactic interaction empowering education through feedback.

Social Media Usage for Sharing Political Information among University Students in Sindh province, Pakistan

Social media is an important channel to share information as it provides free media platform to its users to exchange political information within online community. Users besides other fields also involve in sharing political information to educate and motivate others towards real political issues. To understand the effectiveness of political communication via social media feedback is an essential ingredient. Users give feedback in different ways including sharing political content on the network. Users on social media not only create political content but commonly involve in sharing political content that is closely related with their political attitudes and behavior. This study employs quantitative research design to collect data from 387 respondents from four general discipline universities of Sindh province Pakistan. The results revealed that university students in majority use social media for political purpose and share political information to educate masses. Furthermore Facebook comes first of the list in social networking.

Understanding tourist behaviour towards destination selection based on social media information: an evaluation using unsupervised clustering algorithms

PurposeThe study aims to cluster the travellers based on their social media interactions as well as to find the different segments with similar and dissimilar categories according to traveller's choice. The study also aims to understand the behaviour of clusters of the travellers towards destination selection and accordingly make the tour packages in order to improve tourists' satisfaction and gain viable benefits.Design/methodology/approachAgglomerative hierarchical clustering with Ward's minimum variance linkage algorithm and model-based clustering with parameterized finite Gaussian mixture models has been implemented to achieve the respective goals. The dimension reduction (DR) technique was introduced for better visualizing clustering structure obtained from a finite mixture of Gaussian densities.FindingsA total of 980 travellers have been clustered into 8 different interest groups according to their tourism destinations selection across East Asia based on individual social media feedback. For selecting the optimal number of clusters as well as the behaviour of the interested travellers groups, both these proposed methods have shown remarkable similarities. DR technique ensures the reduction in dimensionality with seven directions, of which the first two directions explained 95% of total variability.Practical implicationsTourism organizations focus on marketing efforts to promote the most attractive benefits to the clusters of travellers. By segmenting travellers of East Asia into homogeneous groups, it is feasible to choose a similar area to test different marketing techniques. Finally, it can be identified to which segments, new respondents or potential clients belong; consequently, the tourism organizations can design the tour packages.Originality/valueThe study has uniqueness in two aspects. Firstly, the study empirically revealed tourists' experience and behavioural intention to select tourism destinations and secondly, it finds quantifiable insights into the tourism phenomenon in East Asia, which helps tourism organizations to understand the buying behaviours of tourists' segments. Finally, the application of clustering algorithms to achieve the purpose of this study and the findings are very new in the literature on tourism, to understand the tourist behaviour towards destination selection based on social media reviews.

What makes locked-down students happy: The sense of mattering and subjective well-being

<span>Subjective well-being (SWB) of university students who had to study off-campus due to the pandemic was investigated in this current study. Studies had reported that one of the most robust factors of SWB is the sense of mattering. While the sense of mattering is built upon social feedback, being locked down limited their source of social feedback to they can only develop their interpersonal mattering through their significant others whom they shared the dwelling place and their societal mattering through the ‘society’ they found in the social media. We purposively selected 82 participants to respond to our scales of mattering types and SWB. Among our inclusion criteria was to have a limited number of living partners (0-3) to make sure that their mattering was predominantly built from the social media feedback. The result of the multiple regression analysis suggested that despite their interpersonal mattering having a weaker contribution to their SWB, it was still a significant predictor of SWB when controlling for societal mattering. Thus, both types of mattering are still considered salient and robust predictors of SWB. Further limitations and suggestions are discussed.</span>

Fifty Million Followers Can’t Be Wrong, or Can They? Effects of Social Media Feedback on CEO Communication

Fifty Million Followers Can’t Be Wrong, or Can They? Effects of Social Media Feedback on CEO Communication

Innovation in agricultural and county shows: conceptualising the e-eventscape

PurposeIn response to the cancellation of a host of events during the summer of 2020, the purpose of this paper is to examine the rapid innovation that created an online County Show. County Shows are traditionally associated with agriculture and the wider rural economy of a region and provide a range of visitor experiences alongside business networking and trading opportunities. The case of the online Lincolnshire Show sought to replicate many aspects of a physical show, and this paper evaluates its effectiveness by applying a newly developed e-eventscape model.Design/methodology/approachA mixed-methods approach generated data from businesses, visitors and the show organiser. Surveys and social media feedback from attendees captured overall satisfaction levels and suggestions for improvements. Participation in the online Business Breakfast event along with an interview with the chief executive officer (CEO) of the Show provided deeper understanding of the innovation occurring.FindingsThe nature of innovation was strongly rooted in place, despite creating a virtual product. Local networks and supporters were critical to staging the online Show. The proposed e-eventscape model allowed an effective appraisal of the online Show, identifying many strengths in terms of the user interface and aesthetics as well as opportunities for improvement, especially linked to greater interactive engagement.Originality/valueThe impacts of coronavirus disease 2019 (COVID-19) have accelerated digital innovation in a range of events and festivals. This provides an opportunity to examine the evolving role of Shows in the rural economy and the innovation processes that have emerged. As well as presenting original insights into rural innovation, the paper develops and tests a new e-eventscape model applicable to the growing field of online events and festivals. Findings indicate that there is considerable scope for organisers to embed online content into the future of many live Shows and festivals, far beyond the COVID-19 pandemic.

Location Tracking via User Feed through Social Platforms to Detect Sentiments & Act on Those Analytical Data

Tracking the reactions of users through social media to discover clients or audience sentiment and determining how best such analyzed data appears to offer owners of products, goods, and services online an opportunity to size up the performance of such content and acknowledge the general feeling. This article would adequately define what is meant by Social Media Sentiment Analysis. The core reasons why social media sentiment investigation is essential are adequately examined. The various areas where any content creator seeking to leverage social media feedback and opinions should channel its energy. It is also important to note that this article revealed how trackers could conduct a thorough result-based social media sentiment analysis and the available tools to operate it effectively. Most importantly, the potent methodologies through which a favorable sentiment can be generated towards any product, brand, content, or goods, and services whatsoever is sufficiently underpinned, and no doubt a determining utilization of these strategies will spur up patronage and ensure audience satisfaction due to the confidence achieved through genuine communication.

Using Self-Management and Social Media to Increase Steps in Sedentary College Students.

Physical inactivity increases the risk of many chronic diseases. Approximately 40% to 50% of college students are physically inactive. Research suggests that when students establish physical activity routines during their college careers, they have a greater chance of maintaining those specific behaviors over time. The current study sought to increase steps in sedentary college students by using a self-management intervention consisting of self-monitoring, goal setting, social media (Instagram), weekly meetings, and social feedback. Researchers used a multiple-baseline across-participants design with an embedded reversal to assess the effects of the packaged intervention. The intervention increased the physical activity levels of 3 of the 4 participants. The results of the current study suggest that multiple strategies such as the use of technological innovations, goal setting, and social media feedback should be considered and leveraged in programs aimed at increasing the level of physical activity among college students.

50 Million Followers Can’t Be Wrong, or Can They? The Influence of Social Media on CEO Communication

The rise of social media introduces new ways in which executives communicate and receive feedback on their words and actions. Social media feedback is generated quickly in large volumes with a format that discourages in-depth critical feedback (e.g., availability of only “like” option), from partly unknown (and unknowable) and heterogeneous sources. In this paper, I theorize and test how long-term exposure to social media feedback influences the communication patterns of CEOs. Through applying novel machine learning methods on 820,000 communication threads of CEOs from S&P 1500, I found that long-term exposure to aggregate social media feedback increases the frequency and affective tone of communication. The relationship is moderated by recent textual feedback. These findings have important implications for the literature on CEO communications and feedback.

MOTION GRAPHIC ANIMATION VIDEO AS ALTERNATIVE LEARNING MEDIA

Lack of students’ attention and interest to learn influence the learning process within the class. Thus, their learning achievement decreased. This study aims at designing a motion graphic, video animation learning media in Indonesian history subject. This study uses research and development method based on the modified research model developed by Borg and Gall with five stages model namely, needs analysis, media design, product development, evaluation and product trial, and final product. This study reveals that the average pretest score before the implementation of the learning media is 57.60, whereas the average posttest score after the motion graphic, animation video learning media implementation is 79.20. The fitness of the media feedback from the media experts’ score is 88% with very appropriate criteria. In addition, the material expert gives a score of 89% for the media appropriateness with very appropriate criteria, and users’ (students) feedback on the media is 87.9% with very appropriate criteria. It is concluded that the designed motion graphic, animation video learning media for Indonesian history subject positively influences students’ learning achievement and is appropriate to be applied in Indonesian history subject.

Business Open Big Data Analytics to Support Innovative Leadership and Management Decision in Canada

This paper summarizes how social media and other technologies continue to proliferate; the shifting economic landscape will precipitate more adaptive approaches for managers attempting to understand the multi-dimensional virtual aspects of communication with the artificial intelligence aspect. Also, we discover the different existing support of big data analytics to make a rational business decision. The methodology is the systematization literature sources within this context and approaches for the underlining approach to open big data analytics and support innovative leadership decisions in Canada. The paper is carried out in the following logical sequence to gain an understanding of how customer relations managers could utilize social media within a data analytics frame from scholar and practitioner perspectives. This literature research review original paper outlines the main themes including the role of social media, the experiences of using data analytics for customer relations management, and the notion that customer-centric technologies could change the dynamic of understanding customer intentions, leadership decisions and introduce the innovative management with using the big data analytics in place. The results of the critical thinking with analysis both authors can be useful for any business around the World that would like to start using Artificial Intelligence to support innovative management decisions. The emergent themes that were highlighted based on the realities of customer relations management may be significant to how the integration of social media feedback resulting from crowdsourcing in addition to existing data analytics could better position organizations in this evolving world. The implications of linking innovative management processes such as demographic analysis, platform understanding, and communication methods together are crucial for any public business with a global impact. Finally, the understanding of innovation management in a social media era and understanding how customers utilized open big data analytics sources could help leadership practices across industries around the World. Keywords: Big Data Analytics, Innovative Leadership, Management of Social Media, Open Sources.