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Journal articles on the topic 'Micro-messages'
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Gupta, Mukul, Pradeep Kumar, and Bharat Bhasker. "Clustering of Micro-Messages Using Similarity Upper Approximation." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, no. 01 (February 2017): 53–79. http://dx.doi.org/10.1142/s0218488517500039.
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Microblogging platforms like Twitter, Tumblr and Plurk have radically changed our lives. The presence of millions of people has made these platforms a preferred channel for communication. A large amount of User Generated Content, on these platforms, has attracted researchers and practitioners to mine and extract information nuggets. For information extraction, clustering is an important and widely used mining operation. This paper addresses the issue of clustering of micro-messages and corresponding users based on the text content of micro-messages that reflect their primitive interest. In this paper, we performed modification of the Similarity Upper Approximation based clustering algorithm for clustering of micro-messages. We compared the performance of the modified Similarity Upper Approximation based clustering algorithm with state-of-the-art clustering algorithms such as Partition Around Medoids, Hierarchical Agglomerative Clustering, Affinity Propagation Clustering and DBSCAN. Experiments were performed on micro-messages collected from Twitter. Experimental results show the effectiveness of the proposed algorithm.
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Dunkel, Anke, Kent Nakamoto, and Peter J. Schulz. "Micro-cultural customization of organ donation propagation messages." Patient Education and Counseling 101, no. 5 (May 2018): 824–29. http://dx.doi.org/10.1016/j.pec.2017.12.019.
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Shen, Zheng. "A persuasive eWOM model for increasing consumer engagement on social media: evidence from Irish fashion micro-influencers." Journal of Research in Interactive Marketing 15, no. 2 (May 31, 2021): 181–99. http://dx.doi.org/10.1108/jrim-10-2019-0161.
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Purpose This study aims to find how can fashion micro-influencers and their electronic word-of-mouth (eWOM) messages increase consumer engagement on social media, focusing on micro-influencers’ influence, typology, eWOM content and consumer engagement. Design/methodology/approach A total of 20,000 microblogs were collected from Irish fashion micro-influencers and analyzed through keyword classification and content analysis in NVivo. The determinants of eWOM persuasiveness for consumer engagement on social media were investigated based on Sussman and Siegal’s information adoption model. Findings The study finds that among the four types of micro-influencers, market mavens and their eWOM messages have the highest impact on consumer engagement on social media, and it presents a repetitive and persuasive eWOM model of market mavens to increase consumer participation. Also, the study discovers that micro-influencers’ occasion-related microblogs have an increasing impact on consumer interactions whereas microblogs with brands have a decreasing engagement with consumers on social media. Originality/value This study advances prior studies on the relationship between influencers’ eWOM messages and consumer participation on social media by the development of a persuasive eWOM model of micro-influencers to increase consumer engagement and fill in the lack of relevant literature. Also, findings provide actionable insights for marketing communication practitioners to persuade consumers to participate in eWOM communications and establish strong consumer-brand relationships on social media.
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Kipp, Peter C., Yibo (James) Zhang, and Amanuel F. Tadesse. "Can Social Media Interaction and Message Features Influence Nonprofessional Investors' Perceptions of Firms?" Journal of Information Systems 33, no. 2 (February 1, 2018): 77–98. http://dx.doi.org/10.2308/isys-52067.
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ABSTRACT We investigate the impact of social media messages on nonprofessional investors' assessments of management credibility and firm value. In a between-participants experiment, we examine the joint effect of social media message vividness, valence, and micro-blogger influence on nonprofessional investors' assessments of management credibility and firm value. We find that when social media messages are pallid and negative (positive), high micro-blogger influence decreases (increases) nonprofessional investors' assessments of management credibility. In contrast, the effect is absent when messages are vivid. Further, we find that the effect of micro-blogger influence on nonprofessional investors' assessments of blogger credibility and management credibility is mediated by social media interactions. The assessment of management credibility, in turn, significantly impacts nonprofessional investors' firm valuation assessment. The results have implications for regulators (SEC 2013) that may wish to update their guidance to managers on how to monitor or even control nonprofessional investors' interaction on social media platforms. Data Availability: Contact the authors.
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Ali, Mubashir, Anees Baqir, Giuseppe Psaila, and Sayyam Malik. "Towards the Discovery of Influencers to Follow in Micro-Blogs (Twitter) by Detecting Topics in Posted Messages (Tweets)." Applied Sciences 10, no. 16 (August 18, 2020): 5715. http://dx.doi.org/10.3390/app10165715.
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Micro-blogs, such as Twitter, have become important tools to share opinions and information among users. Messages concerning any topic are daily posted. A message posted by a given user reaches all the users that decided to follow her/him. Some users post many messages, because they aim at being recognized as influencers, typically on specific topics. How a user can discover influencers concerned with her/his interest? Micro-blog apps and web sites lack a functionality to recommend users with influencers, on the basis of the content of posted messages. In this paper, we envision such a scenario and we identify the problem that constitutes the basic brick for developing a recommender of (possibly influencer) users: training a classification model by exploiting messages labeled with topical classes, so as this model can be used to classify unlabeled messages, to let the hidden topic they talk about emerge. Specifically, the paper reports the investigation activity we performed to demonstrate the suitability of our idea. To perform the investigation, we developed an investigation framework that exploits various patterns for extracting features from within messages (labeled with topical classes) in conjunction with the mostly-used classifiers for text classification problems. By means of the investigation framework, we were able to perform a large pool of experiments, that allowed us to evaluate all the combinations of feature patterns with classifiers. By means of a cost-benefit function called “Suitability”, that combines accuracy with execution time, we were able to demonstrate that a technique for discovering topics from within messages suitable for the application context is available.
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Liu, Pei Yu, Yan Hui Zhang, Jing Xun Wei, and Xiu Yan Hou. "MicroBlog Orientation Analysis Based on Sentiment Symbol." Applied Mechanics and Materials 687-691 (November 2014): 1933–37. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1933.
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As a new social networking media, Micro-blog is recognized by more and more people gradually, the orientation analysis of Micro-blog short text messages has become a hotspot in the field of data mining. At present, the research of Micro-blog orientation analysis mainly concentrate in the text, without considering the impact of other emotional factors. By analyzing and studying Sina Micro-blog, this paper added new words and emoticons in the basis of traditional emotional dictionary to construct special Micro-blog dictionary. Meanwhile, it analyzed rhetoric and sentence to improve the effect of orientation analysis. The experimental results showed that the method in Micro-blog orientation analysis obtained better performance.
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Al-Zubi, Ahmad Ali. "A New Method for Extracting Key Terms from Micro-Blogs Messages Using Wikipedia." Research Journal of Applied Sciences, Engineering and Technology 6, no. 21 (November 20, 2013): 4070–76. http://dx.doi.org/10.19026/rjaset.6.3512.
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Pavithra, R., and A. R. Mohamed Shanavas. "Sentiment Analysis about Smart Phones Using Twitter Corpus by Deep Learning Approach." Asian Journal of Computer Science and Technology 8, S2 (March 5, 2019): 39–45. http://dx.doi.org/10.51983/ajcst-2019.8.s2.2027.
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Micro blogging websites are nothing but social media website to which user makes quick and frequent posts. Twitter is one of the well-known micro blog sites which offer the space for person which can read and put up messages that are 148 characters in duration. Twitter messages also are referred to as Tweets. And will use these tweets as raw facts. Then use a way that automatically extracts tweets into advantageous, bad or neutral sentiments. By the usage of the sentiment evaluation the consumer can recognize the feedback about the product or services before make a purchase. The organization can use sentiment evaluation to know the opinion of clients about their products, so can examine customer pleasure and in line with that they could improve their product. Now-a-days social networking sites are at the growth, so massive amount of data is generated. Millions of human beings are sharing their views each day on micro blogging sites, since it includes short and simple expressions. In this thesis, able to discuss approximately a paradigm to extract the sentiment from a famous micro running a blog carrier, Twitter, wherein customers submit their opinions for the whole thing. And can use the deep mastering algorithm to categories the twitters which incorporates Convolutional Neural Networks. The experimental end result is presented to demonstrate the use and effectiveness of the proposed system.
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Jiang, W., Y. Wang, M. H. Tsou, and X. Fu. "Using geo-targeted social media data to detect outdoor air pollution." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 553–54. http://dx.doi.org/10.5194/isprs-archives-xli-b2-553-2016.
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Outdoor air pollution has become a more and more serious issue over recent years (He, 2014). Urban air quality is measured at air monitoring stations. Building air monitoring stations requires land, incurs costs and entails skilled technicians to maintain a station. Many countries do not have any monitoring stations and even lack any means to monitor air quality. Recent years, the social media could be used to monitor air quality dynamically (Wang, 2015; Mei, 2014). However, no studies have investigated the inter-correlations between real-space and cyberspace by examining variation in micro-blogging behaviors relative to changes in daily air quality. Thus, existing methods of monitoring AQI using micro-blogging data shows a high degree of error between real AQI and air quality as inferred from social media messages. <br><br> In this paper, we introduce a new geo-targeted social media analytic method to (1) investigate the dynamic relationship between air pollution-related posts on Sina Weibo and daily AQI values; (2) apply Gradient Tree Boosting, a machine learning method, to monitor the dynamics of AQI using filtered social media messages. Our results expose the spatiotemporal relationships between social media messages and real-world environmental changes as well suggesting new ways to monitor air pollution using social media.
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Wang, Yan Ping. "Research on the Design and Application of Micro Blog Network Marketing into the Global Trade." Applied Mechanics and Materials 687-691 (November 2014): 4902–5. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4902.
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The emergence and rapid development of Micro Blog has provided a new, swift and effective tool for the international trade. Nowadays this new tool is called Micro Blog internet marketing. Compared with blog, the micro log is much more convenient and the issued content is much more brief which makes the users issue messages timely and usually it is a much more effective channel for the readers and the bloggers to communicate with each other. Micro blog has quickly become a popular tool to communicate and every website has begun to open their own micro blog to propaganda their companies. The micro blog internet marketing can reduce the cost of international trade, improve trade efficiency and customer satisfaction and improve the enterprises’ awareness of competition. Therefore to lay much more emphasis on the role that the micro blog internet marketing has played in international trade is a must in the new century. This is also a way to increase the construction of internet information, thus regulating the micro internet marketing and promoting the healthy development of this field.
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Jiang, W., Y. Wang, M. H. Tsou, and X. Fu. "Using geo-targeted social media data to detect outdoor air pollution." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 553–54. http://dx.doi.org/10.5194/isprsarchives-xli-b2-553-2016.
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Outdoor air pollution has become a more and more serious issue over recent years (He, 2014). Urban air quality is measured at air monitoring stations. Building air monitoring stations requires land, incurs costs and entails skilled technicians to maintain a station. Many countries do not have any monitoring stations and even lack any means to monitor air quality. Recent years, the social media could be used to monitor air quality dynamically (Wang, 2015; Mei, 2014). However, no studies have investigated the inter-correlations between real-space and cyberspace by examining variation in micro-blogging behaviors relative to changes in daily air quality. Thus, existing methods of monitoring AQI using micro-blogging data shows a high degree of error between real AQI and air quality as inferred from social media messages. <br><br> In this paper, we introduce a new geo-targeted social media analytic method to (1) investigate the dynamic relationship between air pollution-related posts on Sina Weibo and daily AQI values; (2) apply Gradient Tree Boosting, a machine learning method, to monitor the dynamics of AQI using filtered social media messages. Our results expose the spatiotemporal relationships between social media messages and real-world environmental changes as well suggesting new ways to monitor air pollution using social media.
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Arévalo Avalos, Marvyn R., Jing Xu, Caroline Astrid Figueroa, Alein Y. Haro-Ramos, Bibhas Chakraborty, and Adrian Aguilera. "The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial." PLOS Digital Health 3, no. 2 (February 21, 2024): e0000449. http://dx.doi.org/10.1371/journal.pdig.0000449.
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The StayWell at Home intervention, a 60-day text-messaging program based on Cognitive Behavioral Therapy (CBT) principles, was developed to help adults cope with the adverse effects of the global pandemic. Participants in StayWell at Home were found to show reduced depressive and anxiety symptoms after participation. However, it remains unclear whether the intervention improved mood and which intervention components were most effective at improving user mood during the pandemic. Thus, utilizing a micro-randomized trial (MRT) design, we examined two intervention components to inform the mechanisms of action that improve mood: 1) text messages delivering CBT-informed coping strategies (i.e., behavioral activation, other coping skills, or social support); 2) time at which messages were sent. Data from two independent trials of StayWell are included in this paper. The first trial included 303 adults aged 18 or older, and the second included 266 adults aged 18 or older. Participants were recruited via online platforms (e.g., Facebook ads) and partnerships with community-based agencies aiming to reach diverse populations, including low-income individuals and people of color. The results of this paper indicate that participating in the program improved and sustained self-reported mood ratings among participants. We did not find significant differences between the type of message delivered and mood ratings. On the other hand, the results from Phase 1 indicated that delivering any type of message in the 3 pm-6 pm time window improved mood significantly over sending a message in the 9 am-12 pm time window. The StayWell at Home program increases in mood ratings appeared more pronounced during the first two to three weeks of the intervention and were maintained for the remainder of the study period. The current paper provides evidence that low-burden text-message interventions may effectively address behavioral health concerns among diverse communities.
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Teo, Peter, and Songsha Ren. "Marketization of universities in China: A critical discourse analysis of the university president’s message." Discourse & Communication 13, no. 5 (June 21, 2019): 539–61. http://dx.doi.org/10.1177/1750481319856203.
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This article focuses on the global phenomenon of the marketization of higher education and how it has shaped the discourses of China’s top universities. By analyzing the university presidents’ messages published in the websites of 36 top-ranked universities in China, the aim is to ascertain the extent to which this institutionalized genre imbricates a marketizing role with other ideological imperatives. Informed by the theoretical principles of Critical Discourse Analysis and adopting a genre analysis methodological approach, we first examined the macro-level rhetorical structure followed by a micro-level analysis of the discursive strategies used in the presidents’ messages. The findings reveal a dynamic interweaving of three distinct discursive strands – bureaucratic, conversational and advertising – constructed in and around the move structure of the presidents’ messages. This interdiscursive analysis reveals competing imperatives and contestations that reflect the dual role of the presidents’ messages to project a globalized, international outlook while maintaining an allegiance to political ideologies and national interests that top-ranked universities in China have to simultaneously negotiate.
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GAVRILUTA, Cristina, and S. BORTOS. "Uaiccrush - love 2.0. A study on virtual forms of student relationships." SERIES VII - SOCIAL SCIENCES AND LAW 13(62), no. 1 Special Issue (January 2021): 63–70. http://dx.doi.org/10.31926/but.ssl.2020.13.62.3.7.
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This paper presents a new situation in terms of human relations. Nowadays, the new technology changes our way of communicating and relating. UAICCrush is a Facebook page which exemplifies this kind of situation. Our research analysed the exchange of messages through this page. As a result, we developed a typology of the Internet users who send messages in order to be published on the page (the dreamer, the undecided, the sarcastic, the charming, the detached and the pragmatic). Also, we established a quantitative description of the page activity during the analysed period. This (micro)research opens future directions for scientists interested in the effects of virtual interactions between people.
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Coleman, Catherine A., Linda Tuncay Zayer, and Özlem Hesapci Karaca. "Institutional Logics, Gender, and Advertising Within a Culture in Transition: Examining Strategies of Advertising Professionals in Turkey for Managing Institutional Complexity." Journal of Macromarketing 40, no. 4 (September 25, 2020): 510–27. http://dx.doi.org/10.1177/0276146720948953.
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Advertisers face longstanding challenges—perhaps more acute under shifting cultural and gender forces such as the global #metoo movement—in creating gendered messages. This research builds on work at the intersection of gender, advertising and institutions, which bridges macro and micro issues faced by advertising professionals, to explore the unique East-West context of Turkey. Using institutional theory as a lens to examine a context in transition, this research illustrates how macro forces permeate four logics from which advertising professionals draw, specifically logics of: gender roles, power, duality, and risk. It further identifies strategies that advertising professionals utilize to manage increasing institutional complexity when creating gendered messages amidst competing logics. This study contributes to an understanding of how advertising professionals engage in institutional work within broader macro realities and the impact this has on the creation of gendered messages in society. Implications for consumer welfare, particularly regarding gender relations, are offered.
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Luo, Jianhong, Xuwei Pan, and Xiyong Zhu. "Discovery of repost patterns by topic analysis in enterprise social networking." Aslib Journal of Information Management 69, no. 2 (March 20, 2017): 158–73. http://dx.doi.org/10.1108/ajim-08-2016-0128.
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Purpose An increasing number of users are inspired by enterprises to repost social media messages, which greatly contributes to the dissemination of such messages in an online social network. The purpose of this paper is to discover the repost patterns of users regarding enterprise social media messages to help enterprises improve information management abilities for social media. Design/methodology/approach This paper proposes a novel method to discover the repost patterns of users in enterprise social networking (ESN) at the macro-level through topic analysis. Specifically, it proposes the message-diversity metric to measure the latent topic diversity degree of the social media messages. Through this technique, the paper analyzes the message-diversity characteristics of the enterprise social media messages and then explores the repost patterns of users. Findings The experimental results show that a high repost rate is more prominent for the messages with diverse latent topics, where message-diversity is as high as 0.5. Practical implications The findings have great potential in several management areas, such as employing social media marketing, predicting popular messages, helping enterprises strengthen their online presence, and gathering more potential customers. Originality/value This study explores how the repost patterns of users in ESN can be determined through general macro-level behavior of users instead of their micro-level processes. The patterns can also lead to a deeper understanding of which contents can drive people to diffuse information. This study gives an important insight into the information behavior of social media users for enterprise management researchers.
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Austin, Jasmine T., Brittney S. Wallace, Britney N. Gilmore, and Ryan S. Bisel. "The Micro-skills of Collective Communication Design Work: An Academic Team’s Development of Sensebreaking Messages." Communication Studies 71, no. 2 (February 15, 2020): 295–314. http://dx.doi.org/10.1080/10510974.2020.1722720.
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Limaye, Mohan R. "Further Conceptualization of Explanation in Negative Messages." Business Communication Quarterly 60, no. 2 (June 1997): 38–50. http://dx.doi.org/10.1177/108056999706000204.
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Regarding explanation in negative messages, this article makes two innovative suggestions for presentation in the classroom and in textbooks of business communication: (1) Providing a reasonable explanation is the sender's moral obligation; receiving such explanation is a natural right of the target. (2) Explanation should be consciously generated and presented on two levels: general (macro) and specific (micro). Such presentation has at least two advantages: explanation on the general level ties the message to its wider con text or even with the human condition itself; explanation on the specific level connects it with the target's unique situation.
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Rao, Ms Ashwini, and Dr Ketan Shah. "Filtering and Transformation Model for Opinion Summarization." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 2 (April 10, 2014): 4248–55. http://dx.doi.org/10.24297/ijct.v13i2.2912.
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The rapid evolution of Micro blogging sites such as Blogs & Twitter facilitate people to post real time messages about their opinions on a variety of topics inclusive of products they use in their daily life. Summarizing opinions of bloggers has several interesting and commercially significant applications like helping the customer to reach purchasing decisions and as a guide for the business activities of companies such as product improvement & market adoption.The paper explores the data characteristics’ of Tweets/ Reviews which can be centrepiece of a conversation & provide excellent channel for opinion creation. The short length of the messages and their noisy nature makes it difficult to mine the micro blog data for opinions. Also the infrequent entities such as people, organization, products etc. and user creativity followed by freedom of language hinder the task of Opinion summarization. The paper demonstrates the major role played by Filtering and Transformation techniques in choosing representative words which is the basis for Features extraction in the task of Opinion summarization. The paper concludes by proposing a framework for pre-processing which emphasises that feature reduction is an important step in Feature based summarization while not compromising on accuracy.
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Sheldon, Tamara L., J. R. DeShazo, and Bronwyn Lewis Friscia. "Micro-targeting consumers to reduce consumptive externalities." PLOS ONE 18, no. 5 (May 4, 2023): e0284338. http://dx.doi.org/10.1371/journal.pone.0284338.
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When correcting for consumption externalities policymakers may employ economic incentives, a uniform moral suasion intervention, or various micro-targeted moral suasion interventions. To assess the relative effectiveness of these policy interventions, we randomly assign consumers to different moral suasion treatments designed to increase their willingness to pay for energy efficient light bulbs. Both economic incentives and single moral suasion interventions have similar modest effects on household willingness to pay for this durable good. However, we find that optimally targeting moral suasion messages increases consumers’ choice of the most efficient light bulbs even more than large subsidies.
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Chen, Jia Hao, and Jian Hua Wu. "Sentiment Analysis of Chinese Micro Blog Using Machine Learning and an Improved Feature Selection Method." Applied Mechanics and Materials 631-632 (September 2014): 1219–23. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.1219.
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With the rapid development of Internet and occurrence of social media services, many users are becoming the creators of social information. However, the normal manual work can't deal with a large number of subjective messages. As a new kind of social media service, micro blog has been widely accepted and can be used for sentiment analysis. This paper compared performances of three machine learning methods on sentiment analysis of Chinese micro blog. We also proposed an improved feature selection method that increases the accuracy of classification. Experiment results show that SVM is closed to Naïve Bayes and they are better than logistic regression in most cases.
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Sokolovsky, Artur, Thomas Gross, and Jaume Bacardit. "Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow." PLOS ONE 16, no. 2 (February 4, 2021): e0246464. http://dx.doi.org/10.1371/journal.pone.0246464.
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Topic Detection and Tracking (TDT) is a very active research question within the area of text mining, generally applied to news feeds and Twitter datasets, where topics and events are detected. The notion of “event” is broad, but typically it applies to occurrences that can be detected from a single post or a message. Little attention has been drawn to what we call “micro-events”, which, due to their nature, cannot be detected from a single piece of textual information. The study investigates the feasibility of micro-event detection on textual data using a sample of messages from the Stack Overflow Q&A platform and Free/Libre Open Source Software (FLOSS) version releases from Libraries.io dataset. We build pipelines for detection of micro-events using three different estimators whose parameters are optimized using a grid search approach. We consider two feature spaces: LDA topic modeling with sentiment analysis, and hSBM topics with sentiment analysis. The feature spaces are optimized using the recursive feature elimination with cross validation (RFECV) strategy. In our experiments we investigate whether there is a characteristic change in the topics distribution or sentiment features before or after micro-events take place and we thoroughly evaluate the capacity of each variant of our analysis pipeline to detect micro-events. Additionally, we perform a detailed statistical analysis of the models, including influential cases, variance inflation factors, validation of the linearity assumption, pseudo R2 measures and no-information rate. Finally, in order to study limits of micro-event detection, we design a method for generating micro-event synthetic datasets with similar properties to the real-world data, and use them to identify the micro-event detectability threshold for each of the evaluated classifiers.
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Kosunen, Riitta. "Discussing course literature online: analysis of macro speech acts in an asynchronous computer conference." ReCALL 21, no. 3 (September 2009): 337–51. http://dx.doi.org/10.1017/s0958344009990073.
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AbstractThis paper presents a macro speech act analysis of computer-mediated conferencing on a university course on language pedagogy. Students read scholarly articles on language learning and discussed them online, in order to make sense of them collaboratively in preparation for a reflective essay. The study explores how the course participants made use of computer-mediated conferencing for such collaborative text processing. A discussion thread with 97 messages was analyzed for its macro speech acts. The conference messages were treated as pragmatic macrostructures where micro-level speech act sequences can be mapped onto a higher-level, global speech act or textual function. The discussion turned out to be reader-centred and practice-oriented. Approximately two thirds of the messages were concerned with interpreting theory from a practical point of view, expressing the students’ personal experience, opinion or idea about a certain issue related to the article. In comparison, only one tenth dealt with checking the explicit propositional content of the article. The results are interpreted in terms of the distinction between a narrative and paradigmatic/expository discourse.
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Yasmin, Nishana, Sreelakshmi J, Dilruba P K, Punnya P, and Remya V. "Intelligent IoT Based Syringe Pump Controlling and Monitoring Drip Level, Temperature, And Pulse Rate Using A Smart Phone Application." Journal of IoT Security and Smart Technologies 1, no. 2 (June 29, 2022): 22–28. http://dx.doi.org/10.46610/jisst.2022.v01i02.004.
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The syringe pump is a miniature infusion pump that’s utilized to give little volumes of liquid (with or without medicine) to an understanding or for chemical and biomedical research. This study describes how a smartphone application can be used to create micro-liter accuracy, lightweight, and remotely controlled syringe pump developed by the MIT app inventor using Intelligent Internet of Things (I2oT). The human health parameters such as heart rate, temperature, and drip level of the patient are measured using biomedical sensors and the corresponding readings and ECG graph are displayed using the Android app. This framework is able to entrust alert messages approximately the patient’s basic wellbeing information as content messages to the smartphone through Bluetooth. The main advantages of this syringe pump are that it is less expensive portable and also automatically works.
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Kim, Si Gwan. "Reliable Cluster-Based Routing Algorithms in Wireless Sensor Networks." Applied Mechanics and Materials 284-287 (January 2013): 2147–51. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2147.
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With advanced micro-electromechanical technology, the development of small-size, low-cost, and low-power sensors that possess sensing, signal processing and wireless communication capabilities is becoming popular than ever. To achieve the energy efficiency in the wireless sensor networks, LEACH has been proposed as a routing protocol, composing of a few clusters, each of which consists of member nodes that sense the data, and head nodes that deliver the collected data from member nodes to a sink node. When wireless link error occurs, LEACH may miss some messages because of only one cluster head. As our proposed scheme manages two cluster heads for each cluster, there should be higher probabilities for messages to reach the sink node. Simulation results show that our proposed algorithm provides more robust than LEACH when wireless link error occurs.
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Henninger, Claudia Elisabeth, Panayiota J. Alevizou, and Caroline J. Oates. "IMC, social media and UK fashion micro-organisations." European Journal of Marketing 51, no. 3 (April 10, 2017): 668–91. http://dx.doi.org/10.1108/ejm-08-2015-0599.
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Purpose This paper aims to analyse the practical applicability of integrated marketing communications (IMC) to micro-organisations operating in the UK’s fashion industry, focusing specifically on the use of online platforms. Design/methodology/approach Qualitative methodological tools including semi-structured interviews, semiotics, Twitterfeed and Facebook analysis are used to examine to what extent micro-organisations apply IMC. Findings The findings suggest that these micro-organisations have a limited understanding of IMC. Although they utilise various channels, including social media, there is a disconnect between reaching the audience, understanding their needs and linking these aspects. External factors influence the use of various communication channels, leading to further fragmentation of sent messages. Research limitations/implications This research focuses on five micro-organisations within the fashion industry and thus may be seen as limited in nature. Whilst implications of the findings are discussed in terms of their impact to the wider industry and other sectors, this needs to be further researched. Practical implications Micro-organisations are underdeveloped in terms of both IMC and social media and require practical advice. Originality/value This study investigates two under-researched areas, IMC in micro-organisations and the use of social media within IMC, thereby moving forward our understanding of IMC in practice.
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Zayer, Linda Tuncay, Mary Ann McGrath, and Pilar Castro-González. "Men and masculinities in a changing world: (de)legitimizing gender ideals in advertising." European Journal of Marketing 54, no. 1 (November 21, 2019): 238–60. http://dx.doi.org/10.1108/ejm-07-2018-0502.
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Purpose Conversations surrounding gender are sweeping the globe as the voices and lived experiences of people are being heard and shared at unprecedented rates. Discourses about gender in advertising are embedded in cultural narratives and legitimatized by a broad system of institutional structures and actors, at both macro and micro/consumer levels. This study aims to explore how consumers (one type of institutional actor) engage in legitimizing/delegitimizing messages of gender in the marketplace. Design/methodology/approach This research draws on a qualitative approach, specifically the use of in-depth interviews with men across three global contexts. Findings This research identifies the ways in which men engage in (de)legitimizing messages of masculinity in advertising such as reiteration, reframing, ascribing to alternate logics and prioritizing personal norms. Research limitations/implications Across three contexts, this research theorizes the (de)legitimization of gender ideals in advertising and situates consumer narratives within broader institutional forces, providing a holistic understanding of the phenomenon. Practical implications Understanding the ways in which individuals either accept or reject gendered ideals in media aids advertising and marketing professionals in tailoring messages that resonate with audiences. Social implications Understanding how individuals negotiate their gender and the messages they deem as legitimate are crucial to understanding gender issues related to consumer welfare and public policy. Originality/value While research has examined advertising practitioners’ views regarding gender from an institutional perspective, research on how consumers construct and maintain the legitimacy of gendered messages in the marketplace is scarce. This research theorizes and illustrates the (de)legitimization of gender ideals across three contexts.
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Donà dalle Rose, Luigi F., and Anna Serbati. "Editorial." Tuning Journal for Higher Education 3, no. 2 (May 31, 2016): 243. http://dx.doi.org/10.18543/tjhe-3(2)-2016pp243-246.
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The epochal paradigm shift, from input-centered to student-centered education, which in the last decades progressively penetrated the sequence of all educational levels from primary school to tertiary education, is experiencing a tumultuous and highly non-linear implementation process at university level. The general process regards huge numbers of people, whether actors or stakeholders, and its duration can hardly be predicted or even envisaged. Nevertheless, several related area processes, both at a macro and at a micro level are steadily in progress. In the present issue we present a number of successful micro-level initiatives and processes as well as the problematic messages which come from a fresh attempt to monitor the extent of the macro-process in the European area.
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Tahir, Hanan A., and Hoger Mahmud. "Querying Social Media to Track People’s Movements and Discussions Via a Browser Interface." Academic Journal of Nawroz University 9, no. 3 (July 8, 2020): 102. http://dx.doi.org/10.25007/ajnu.v9n3a743.
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Social networking is micro-blogging site where users post short text-based messages. These messages often relate to a particular topic, event or product and are frequently coupled with the authors’ opinion. This information provides an exciting opportunity for individuals and companies who might benefit from being able to collate and analyze the data to discover opinion on an item of interest. This paper reports on the outcome of a project that aims to produce a web page that queries the social Web (specifically Twitter.com and Foursquare.com.) through the available APIs to track people’s movements and the topic of their discussions. Tweets will be the main data source and queries results will be ranked and sorted out by total frequency in a Web accessible MySQL database. The result shows that the system has been successful in achieving the set aims.
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Schmälzle, Ralf, Sue Lim, Hee Jung Cho, Juncheng Wu, and Gary Bente. "Examining the exposure-reception-retention link in realistic communication environments via VR and eye-tracking: The VR billboard paradigm." PLOS ONE 18, no. 11 (November 30, 2023): e0291924. http://dx.doi.org/10.1371/journal.pone.0291924.
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Exposure is key to message effects. No effects can ensue if a health, political, or commercial message is not noticed. Yet, existing research in communication, advertising, and related disciplines often measures ‘opportunities for exposure’ at an aggregate level, whereas knowing whether recipients were ‘actually exposed’ to a message requires a micro-level approach. Micro-level research, on the other hand, focuses on message processing and retention, takes place under highly controlled laboratory conditions with forced message exposure, and largely ignores how recipients attend selectively to messages under more natural conditions. Eye-tracking enables us to assess actual exposure, but its previous applications were restricted to screen-based reading paradigms lacking ecological validity or field studies that suffer from limited experimental control. Our solution is to measure eye-tracking within an immersive VR environment that creates the message delivery and reception context. Specifically, we simulate a car ride down a highway alongside which billboards are placed. The VR headset (HP Omnicept Pro) provides an interactive 3D view of the environment and holds a seamlessly integrated binocular eye tracker that records the drivers’ gaze and detects all fixations on the billboards. This allows us to quantify the nexus between exposure and reception rigorously, and to link our measures to subsequent memory, i.e., whether messages were remembered, forgotten, or not even encoded. An empirical study shows that incidental memory for messages differs based on participants’ gaze behavior while passing the billboards. The study further shows how an experimental manipulation of attentional demands directly impacts drivers’ gaze behavior and memory. We discuss the large potential of this paradigm to quantify exposure and message reception in realistic communication environments and the equally promising applications in new media contexts (e.g., the Metaverse).
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Houston, Ella. "The impact of advertisements on women’s psychological and emotional states: exploring navigation and resistance of disabling stereotypes." Media, Culture & Society 41, no. 6 (November 22, 2018): 791–807. http://dx.doi.org/10.1177/0163443718813484.
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Representations of disabled women in advertising have been historically problematic. Largely, such portrayals have reinforced disability and gender stereotypes. This is an important issue to address because cultural representations have the ability to challenge or support widespread attitudes and beliefs surrounding identity groups. In addition, representations can generate micro level impact, for example, influencing how individual’s perceive themselves. In this article, Thomas’s (1999) concept of psycho-emotional disablism is used to enhance understandings of the relationship between advertising messages and individual psychological and emotional states. The feminist disability studies research presented in this article explores how women with mental health issues navigate advertising portrayals of mental health and gender. The findings develop existing knowledge of psycho-emotional disablism through demonstrating how individuals often use problematic advertising messages and memories of psycho-emotional oppression as a vehicle for positive self-transformation and as a way of resisting cultural stereotypes.
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Yadav, Vaishnavi, Vani Madaan, Amitanshu Chugh, and Pankaj Rakheja. "Touchscreen and SMS Based Door Locking System." International Journal of Advance Research and Innovation 6, no. 2 (2018): 27–30. http://dx.doi.org/10.51976/ijari.621805.
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This project is a prototype of “Touchscreen and Sms based security door locking system” which is accessed by a Touch screen module. The touch Screen module is further interfaced with a microcontroller unit where the password is inputted and compared with the original password stored in its EPROM and will give further instructions accordingly. The design consists of three main functional modules, namely; the Touch screen module, the Micro-controller and the GSM module. The Touch screen module acts as an input device used to access the door via a password or pattern locking system .The Micro-controller unit does all the comparison of the inputted password and accordingly give further instructions. The GSM module works as a transmitting unit, used to send intrusion messages to the user mobile device at the receiving end.
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Amponsah, Stephen, Zangina Isshaq, and Daniel Agyapong. "Determinants of tax stamp evasion in rural districts in Ghana." International Journal of Law and Management 61, no. 1 (February 11, 2019): 73–90. http://dx.doi.org/10.1108/ijlma-08-2017-0190.
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Purpose The purpose of this study is to examine tax stamp evasion at Twifu Atti-Morkwa and Hemang Lower Denkyira districts in the central region of Ghana. Design/methodology/approach A cross-sectional survey design was adopted to sample 305 micro-taxpayers through the use of multi-stage sampling technique. Primary data were collected from the micro-taxpayers using structured interview. Binary and multinomial logit regression models were used to regress the tax stamp evasion on economic and non-economic factors. Findings The study found that the likelihood of micro taxpayers to evade tax stamp is predicted by age, application of sanctions, guilt feeling, transportation cost to tax office and rate of tax audit. Thus, the study found partial support for expected utility, planned behaviour and attributory theories in explaining tax evasion behaviour of micro-taxpayers. Practical/implication There are several measures of addressing tax evasion behaviour of micro taxpayers. Evasion behaviour can be deterred by enforcement strategies such as application of sanctions and regular tax audit, establishment of more tax offices in the districts and writing normative messages on the faces of tax stamp stickers. Originality/value This study helps explains the tax evasion behaviour of micro-taxpayers of a developing economy like Ghana using a special type of tax design meant to capture such taxpayers in the tax bracket. To the best of our knowledge, the study is unique in terms of the means of measuring tax evasion and the methodologies used.
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Perez-Campdesuner, Reyner, Alexander Sanchez-Rodriguez, Gelmar Garcia-Vidal, and Rodobaldo Martinez-Vivar. "The impact of advertising on the income of MSMEs in Ecuador." International Journal of Applied Economics, Finance and Accounting 17, no. 2 (September 28, 2023): 352–61. http://dx.doi.org/10.33094/ijaefa.v17i2.1169.
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This research aims to evaluate the impact of advertising actions on sales levelin micro and small companies (MSMEs) operating in Ecuadorian territory. This investigation was initially based on the application of a survey to a sample of representative customers of micro and small companies. An in-depth analysis of the impact of advertising expenses on income in those organizations where it was found that there was a percentage of its customers who came to the organization motivated by advertising actions. As a main result, the existence of a high level of correlation between advertising expenses and income was verified, which are higher as these expenses increase and advertising actions remain stable over time. This implies that directors of MSMEs must evaluate their capability to carry out advertising expenses and to maintain these for long periods of time. The impact of advertising expenses on the income of organizations has been the subject of analysis for years, these investigations have been oriented fundamentally to the analysis of advertising in large industries, or of brands with a high level of prominence. However, the evaluation of this behaviour in the conditions of MSMEs is scarcely studied, and this type of company is the focus of this research. This study did not make a distinction between the effectiveness of the media chosen for the messages' distribution and the caliber of the advertising messages. Similarly, it failed to establish values or coefficients of relationship between the correlated variables.
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Murdiani, Trufi, Ahmad Jefri Andika, and Wisnu Ilham Widiyanto. "Pemanfaatan WhatsApp Group Sebagai Media Promosi dalam Penjualan Online." Ekombis Sains: Jurnal Ekonomi, Keuangan dan Bisnis 7, no. 1 (March 27, 2022): 69–76. http://dx.doi.org/10.24967/ekombis.v7i1.1311.
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The use of internet in helping online-based small and medium enterprises has also make the choice of using social media on smarphones foe online business continues to grow rapidly. By utilizing social media, business people are no longer have trouble in marketing their products because it is done anytime, anywhere and to anyone by its purposes. Social media such as WhatsApp has begun noticed by micro, small and medium enterprises (MSMEs) in online selling. Moreover, with WhatsApp Group (WAG) feature, business people communicate and promote their products and services via online in real time and efficiently. The display of promotional materials distributed using WAG is more diverse and interesting because it can be in the form of written messages, voices, photos, videos, graphics or links. Even though doing business using WAG, there are also weaknesses, such as the content of messages that are cleared in chat by other users, or not being read in the midst of a busy chat from fellow WAG members.
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Potter, Deborah A., Lisa B. Markowitz, Siobhan E. Smith, Theresa A. Rajack-Talley, Margaret U. D’Silva, Lindsay J. Della, Latrica E. Best, and Quaniqua Carthan. "Healthicization and Lay Knowledge About Eating Practices in Two African American Communities." Qualitative Health Research 26, no. 14 (July 10, 2016): 1961–74. http://dx.doi.org/10.1177/1049732315606683.
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In this manuscript, we expand upon sociological research in lay knowledge about health and healthicization by examining socially mediated ways in which 40 African American adults in two communities acquired information about eating practices. Participants employed a variety of socially informed information-seeking strategies. Many, but not all, used socially prescribed sources exhorting them to maximize their own health and reported an amalgam of experiences concerning their interpretation of healthist messages. Participants variously accepted messages about healthy eating or engaged in strategies of micro-resistance that decentered and/or reinterpreted health promotion discourse. Furthermore, participants used emic community-based resources including those that prioritized familial engagement over individual responsibility in eating practices or that drew upon alternative health practices. We discuss the implications our work has for further research on healthicization and lay knowledge about eating practices, in which community members are actively engaged in meaning-making within local socio-structural contexts.
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McDonnell, Terence E., Christopher A. Bail, and Iddo Tavory. "A Theory of Resonance." Sociological Theory 35, no. 1 (March 2017): 1–14. http://dx.doi.org/10.1177/0735275117692837.
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The metaphor of resonance often describes the fit between a message and an audience’s worldviews. Yet scholars have largely ignored the cognitive processes audiences use to interpret messages and interactions that determine why certain messages and other cultural objects appeal to some but not others. Drawing on pragmatism, we argue that resonance occurs as cultural objects help people puzzle through practical challenges they face or construct. We discuss how cognitive distance and the process of emotional reasoning shape the likelihood of cultural resonance. We argue resonance is an emergent process structured by interactions between individuals that shape each other’s interpretation of cultural objects, diffuse objects through interactional circuits, and create opportunities for resonance among people facing similarly shaped problems. Our approach thus identifies new processes at micro, meso, and macro levels of analysis that shape resonance and describes the pathways that might allow resonance to crystallize into broader mobilization and social change.
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Silalahi, Ayuphita Tiara. "Micro-Influencer Celebrity’s Communication Strategy in Brand Promotion." Humaniora 12, no. 1 (March 30, 2021): 21–28. http://dx.doi.org/10.21512/humaniora.v12i1.6786.
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The research analyzed the role of Instagram influencers, especially those who fell into the category of microinfluencers, and the impacts they generated through effective communication strategy in promoting local brands in Indonesia. The exploratory study adopted a qualitative research design by collecting primary data through indepth interviews with selected micro-influencers, local brands marketers, and an Influencer marketing strategist. While secondary data was gathered from both offline and online available documented literatures. Results were then categorized using Creswell’s six-stage analysis method in order to produced themes. Findings show that Instagram is a preferred social media platform in Indonesia for local companies to promote their brands by selecting micro-influencers as part of the communication strategy. Four distinctive characteristics outline the themes of Instagram micro-influencer that are seen as primary factors for the brands to utilize in ensuring effective brands’ communication strategy. The research concludes that different methods of delivering a brand’s messages can be utilized to achieve the brand’s communication goals and the high intensity of engagement between the influencer and their followers is the core strength for the success of the communication activity. This is a quality seeks by both brands and influencer agencies to ensure successful brands’ communication strategy.
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Razumov, T. E., D. V. Churikov, and O. V. Kravchenko. "Application of convolutional neural networks in optical text recognition to junk data filtering." Journal of Physics: Conference Series 2127, no. 1 (November 1, 2021): 012024. http://dx.doi.org/10.1088/1742-6596/2127/1/012024.
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Abstract In this paper, the problem of constructing a model for detecting and filtering unwanted spam messages is solved. A fully connected convolutional neural network (FCNN) was chosen as the model of the classifier of unwanted emails in email. It allows you to divide emails into two categories: spam and not spam. The main result of the research is a software application in the C++ language, which has a micro-service architecture and solves the problem of image classification. The app can handle more than 106 requests per minute in real-time.
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Chang, George, Han-Shen Huang, and Jane Hsu. "Detecting Chinese Wish Messages in Social Media: An Empirical Study." Proceedings of the International AAAI Conference on Web and Social Media 7, no. 1 (August 3, 2021): 677–80. http://dx.doi.org/10.1609/icwsm.v7i1.14462.
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People have wishes and sometimes share their wishes in social media, hoping to receive supports or to find partners with the same wishes. By collecting and analyzing those wishes, we may find out not only the trend of common wishes, but also the needs of individuals. This paper presents a preliminary study of Chinese wish detection. We provide analysis on the data from Linkwish, which is a micro social network for wish sharing with users mainly from Taiwan, Hong Kong, and Macao. Then, we use SVM with various types of features to classify these messages as wish or not. Our experimental results show that some features can achieve average areas under precision-recall curves higher than 0:95 in 10-fold cross validation.
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Evangelopoulos, Nicholas, Michael J. Magro, and Anna Sidorova. "The Dual Micro/Macro Informing Role of Social Network Sites: Can Twitter Macro Messages Help Predict Stock Prices?" Informing Science: The International Journal of an Emerging Transdiscipline 15 (2012): 247–68. http://dx.doi.org/10.28945/1739.
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Li, Wanlian, and Xing Chen. "Differential Trust and Hierarchical Regulation: A Study of the Effectiveness of Rumor Refutation on Government Micro-Blogs—Analysis Based on 1290 Rumor Refutation Messages." Complexity 2022 (May 23, 2022): 1–10. http://dx.doi.org/10.1155/2022/7254051.
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Purpose/Significance. This study aims to explore the differences in the effectiveness of rumor refutation dissemination on government micro-blogs and to identify factors that may lead to such differences, so as to provide reference for the management of emergencies and to improve the effectiveness of rumor refutation. Methodology/Procedure. Using Octopus software to collect data from thirty government micro-blogs, the number of retweets, likes, and comments were used as indicators of the effectiveness of refutation dissemination and different levels of government micro-blogs were used as moderating variables to construct a regression model of the effect of content features and text features on refutation dissemination. The regression model was constructed to test the moderating effects of micro-blog content and text features on the effectiveness of micro-blog refutation. Results/Conclusions. The empirical results show that whether a micro-blog is from the region or not and whether a micro-blog has a title or not have a significant effect on the effectiveness of micro-blog refutation dissemination. Therefore, refutation strategies such as combining layers, giving equal importance to content and form, and focusing on originality can be adopted to enhance the refutation effect of government micro-blogs.
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Larasati, Jessica Aisyah, and Daniel Susilo. "Influence of Rose All Day Instagram Sales Promotion Message And Endorsement By Beauty Influencer on Followers Buying Intention." Jurnal Riset Komunikasi 4, no. 2 (August 15, 2021): 215–31. http://dx.doi.org/10.38194/jurkom.v4i2.350.
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This research was conducted due to the widespread use of social media as a marketing tool in Indonesia. This phenomenon has led to a social media marketing strategy through Instagram, one of the social media platforms used by a local cosmetic company called Rose All Day Cosmetics. This study aimed to determine the effect of the attractiveness of sales promotion messages on Rose All Day Cosmetics' Instagram account and endorsement by beauty influencers on followers' buying intention. The theories used in this research were the Elaboration Likelihood Model, the attractiveness of promotional messages, endorsement, and purchase interest theory. This research was quantitative explanative research through an online survey distributed using the direct message feature on Instagram to 398 respondents previously determined by the Yamane formula. The data obtained were tested with multiple linear regression. The findings indicated that each variable significantly influences the followers' buying intention partially or simultaneously, with a simultaneous effect of as much as 51,3% impact degree. The company must continue to follow the development of influencers, especially in the realm of micro-influencers
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Chouaki, Salim, Islem Bouzenia, Oana Goga, and Beatrice Roussillon. "Exploring the Online Micro-targeting Practices of Small, Medium, and Large Businesses." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (November 7, 2022): 1–23. http://dx.doi.org/10.1145/3555103.
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Facebook and other advertising platforms exploit users' data for marketing purposes by allowing advertisers to select specific users and target them with well-crafted messages (the practice is being called micro-targeting). However, advertisers such as Cambridge Analytica have maliciously used these targeting features to manipulate users in the context of elections. The European Commission plans to restrict or even ban some targeting functionalities in the new European Democracy Action Plan act to protect users from such harms. The difficulty in finding appropriate restrictions is that we do not know the economic impact of these restrictions on regular advertisers. In this paper, to inform the debate, we take a first step by understanding who is advertising on Facebook and how they use the targeting functionalities of ad platforms. For this, we asked 890 U.S. users to install a monitoring tool on their browsers to collect the ads they receive on Facebook and information about how these ads were targeted. By matching advertisers on Facebook with their LinkedIn profiles, we could see that 71% of advertisers are small and medium-sized businesses with 200 employees or less, and they are responsible for 61% of ads and 57% of ad impressions. Regarding micro-targeting, we found that only 32% of small and medium-sized businesses and 30% of large-sized businesses in our dataset micro-target at least one of their ads. These results should not be interpreted as micro-targeting not being useful as a marketing strategy, but rather that advertisers prefer to outsource the micro-targeting task to ad platforms. Indeed, to deliver ads, Facebook is employing optimization algorithms that exploit user data to decide which users should see what ads; which basically means ad platforms are performing an algorithmic-driven micro-targeting. Hence, when setting restrictions on micro-targeting, legislators should take into account both the traditional advertiser-driven micro-targeting as well as algorithmic-driven micro-targeting performed by ad platforms.
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Mohanavalli, S., S. Karthika, Srividya ., K. R.Uthayan, and N. Sandya. "Categorisation of Tweets Using Ensemble Classification Methods." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 722. http://dx.doi.org/10.14419/ijet.v7i3.12.16463.
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Twitter is a micro-blogging site that facilitates users to exchange short messages. Twitter is predominantly used in fields like business, healthcare, education and nation security. Twitter is being used by a large number of users for updating real time information and sentiment expression. The objective of this paper is to automate the classification of tweets into particular category using various machine learning algorithms like naïve bayes, SVM, and linear regression model. The proposed ensemble model aims to improve performance metrics of these algorithms. A comparative study of the algorithms used for tweet classification is done and results are discussed in the paper.
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Sharma, Devansh, R. Anandan, A. Manikandan, Kumar Narayanan, and C. Swaraj Paul. "Building micro service for user engagement." International Journal of Engineering & Technology 7, no. 2.21 (April 20, 2018): 420. http://dx.doi.org/10.14419/ijet.v7i2.21.12457.
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The emails that are being sent today are done manually through the use of email providers like Gmail, Yahoo, Hotmail etc. with a copy paste mechanism of the same message. This requires more human resource and time. The system now being developed will be able to send the emails to thousands number of user without any copy-paste mechanism in very less time and with great accuracy handling all errors, if occurs, through the use of Amazon web services & Google Cloud services. Thus, the messages received by every user will be unique instead of the same message being sent to all. The email micro service will be responsible for handling out all the essential needs, verification & validation, automation, clean code and follows a proper SDLC as per current industry standards. The track ability feature will also be provided to track all the emails that are being sent to the users. Thus, the automation will be done and will save a lot of human resource and time.
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Yurek, Enes. "Investigation of eye contact attempts of three-year-old children and their mothers in a play environment." International Journal of Innovative Research in Education 9, no. 2 (September 13, 2022): 90–97. http://dx.doi.org/10.18844/ijire.v9i2.7809.
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Eye contact has been defined as an exchange that mediates a significant part of non-verbal procedures between people. Though studies have been carried out on eye contact between adults, the number of studies dealing with the quality, process and messages of eye contact between children and attachment figures is limited. The goal of this study is to analyse the quality, process and messages of eye contact between three-year-old children and their mothers during their interaction in a play setting. It is a qualitative case study. Micro analysis was used as the analysis method. 14 three-year-old children, 8 girls and 6 boys, participated in the study with their mothers. A 10-minute play process was recorded in a standard setting with standard materials. Records were evaluated in periods cut with micro analysis method and transformed into graphics. Study results showed 374 attempts to make eye contact between children and their mothers. It was understood that majority of these attempts were initiated by the mothers and the success/failure rate of these attempts were close each other. It was observed that success rate of eye contact was higher when it was initiated by children and failure rate of eye contact was higher in cases when it was initiated by mothers. Causes of making eye contact shows that mothers were more likely to make eye contact when they ask questions, wait for an answer and control the child and children tried to make eye contact when they ask for approval of their mothers, chat and exchange ideas with them.
Keywords: Mother, child, interaction, eye contact.
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Pine, Russell, Lisa Te Morenga, Mitch Olson, and Theresa Fleming. "Development of a casual video game (Match Emoji) with psychological well-being concepts for young adolescents." DIGITAL HEALTH 7 (January 2021): 205520762110478. http://dx.doi.org/10.1177/20552076211047802.
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Digital interventions for mental health and well-being have been shown to be effective in trials, yet uptake and retention in real-world settings are often disappointing. A more significant impact may be achieved by building interventions that are closer to how target groups use technology to support their own psychological well-being. Casual video games may be poised to offer an opportunity in this area as they are a highly popular activity among young people. We propose that mental health content can be integrated into the explicit content and the implicit processes used in casual video games. In this paper, we describe the design and core processes of Match Emoji, a casual video game designed to support the development of psychological well-being via gameplay and micro-messages. The iterative development of Match Emoji involved various phases, including a systematic review of the literature, consultation with target users, clinicians, game developers, and close reading of the literature. Expert collaboration was sought throughout the process to ensure gameplay and messages matched behaviour change and learning theories. An acceptability and feasibility study of Match Emoji will inform a randomised controlled trial in the future.
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Purnamasari, Oktaviana, Norhayati Rafida Abdul Rahim, Muhammad Badri, Jamiati KN, and Sofia Hasna. "SOCIAL MEDIA STRATEGY: UTILIZING INSTAGRAM TO SHAPE LOCAL, WISDOM-BASED SALES MESSAGES IN A COFFEE SHOP." Perspektif Komunikasi: Jurnal Ilmu Komunikasi Politik dan Komunikasi Bisnis 7, no. 2 (December 31, 2023): 241. http://dx.doi.org/10.24853/pk.7.2.241-254.
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Micro, Small and Medium Enterprises (MSMEs) possess an extraordinary potential to cultivate. One of the MSMEs that are commonly found is coffee shops. Kedai Kopi 1956 is one from many coffee shops that are currently flourishing, which is located in Kampung Batik Laweyan, Solo. Based on the local wisdom of Kampung Batik Laweyan, Solo, Kedai Kopi 1956 builds sales messages through social media strategies on Instagram. The aim of this research was to identify Kedai Kopi 1956's Instagram social media strategy in building sales messages and utilizing local wisdom as its core. The theory used in analyzing this research was the social media strategy theory by Quesenberry. This research resorts to a descriptive qualitative approach. Data collection techniques includes interview with key informant and observations on the Instagram account @1956.mor. Results revealed that the Instagram social media strategy for building sales messages based on local wisdom was carried out by Kedai Kopi 1956 using three different approaches as expressed by Quesenberry: 1) Determining objectives, target audience and social analysis; 2) Determining the message: creating a big idea, namely Kedai Kopi 1956 always promotes simplicity, attempting to be humble and provides deeper meaning to others, which are then conveyed in the form of major ideas into inspirational stories; and 3) Integrating Social Media with Marketing in the form of selling merchandise, Advertising by uploading inspirational stories to attract visitors and Public Relations by supporting current hot issues such as independence and peace in Palestine as well as collaborating with third parties, the Surakarta City Tourism and Culture Office to create video profiles.
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Cvetanovic, Slobodan, Milorad Filipovic, Miroljub Nikolic, and Dusko Belovic. "Endogenous growth theory and regional development policy." Spatium, no. 34 (2015): 10–17. http://dx.doi.org/10.2298/spat1534010c.
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The numerous versions of endogenous explanations of economic growth emphasize the importance of technological change driving forces, as well as the existence of appropriate institutional arrangements. Endogenous growth theory contributes to a better understanding of various experiences with long-term growth of countries and regions. It changes the key assumptions of the Neoclassical growth theory and participates in the modern regional development physiology explanation. Based on these conclusions, the paper: a) explicates the most important theoretical postulates of the theory, b) explains the most important factors of economic growth in the regions in light of the Endogenous growth theory messages and c) emphasizes the key determinants of regional competitiveness which in our view is conceptually between the phenomena of micro- and macro-competitiveness and represents their necessary and unique connection. First of all, micro-competitiveness is transformed into a regional competitiveness; then regional competitiveness is transformed into a macro-competitiveness. In turn, macro - influences the microeconomic competitiveness, and the circle is closed. After that, the process starts over again.