An exploratory study of (#)exercise in the Twittersphere

Social media analytics allows us to extract, analyze, and establish semantic from user-generated contents in social media platforms. This study utilized a mixed method including a three-step process of data collection, topic modeling, and data annotation for recognizing exercise related patterns. Based on the findings, 86% of the detected topics were identified as meaningful topics after conducting the data annotation process. The most discussed exercise related topics were physical activity (18.7%), lifestyle behaviors (6.6%), and dieting (4%). The results from our experiment indicate that the exploratory data analysis is an effective approach to summarizing the various characteristics of text data for different health and medical applications

Current Prospects and Practices of social media to market library sources and services: a case of selected university libraries of Pakistan

Purpose: the prime purpose of this research study is to investigate the application of social media in the marketing of library sources and Services in the university libraries of Pakistan. Research Design/Methodology/approach: Data were gathered using a survey method and a quantitative research methodology. The Pakistani university librarians were the source of the data, which was gathered both offline and online. With the aid of SPSS and other analysis software, 100 valid responses in all have been examined. Findings: the Research findings revealed that university librarians of Pakistan are well aware of the very application of social media in the marketing of library sources and services. The result shows that majority of the university libraries are using social media for the marketing of library sources and services. However, the librarians have identified that Facebook is a more suitable tool for the marketing of library sources and services. The research result has confirmed that university librarians are well aware of the needed skills and knowledge how to implement social networking sites to market the library sources and services. The results also described that university librarians use some of the tools/methods to analyze the marketing feasibility at the country level Practical Implications: This research helps library and information workers at the international and national levels understand how social networks might be used to provide library resources. Limitation: the present Research is purely consisted to the university librarian four provinces and twin cities of Pakistan. Originality/value: This research demonstrates the value of social networking sites platforms for the marketing of library resources and services and makes a contribution to the fields of library and information science and information management. Flexible marketing platform should be created by the university libraries using social networks sites in order to promote their resources and services. The higher authority should support this effort

Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S

The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-related discussions with respect to political orientations in U.S. states. This mixed methods study used computational methods to collect tweets containing “diet” or “#diet” shared in a year, identified tweets posted by U.S. Twitter users, disclosed topics of tweets, and compared democratic, republican, and swing states based on the weight of topics. A qualitative method was employed to code topics. We found 32 unique topics extracted from more than 800,000 tweets, including a wide range of themes, such as diet types and chronic conditions. Based on the comparative analysis of the topic weights, our results revealed a significant difference between democratic, republican, and swing states. The largest difference was detected between swing and democratic states, and the smallest difference was identified between swing and republican states. Our study provides initial insight on the association of potential political leanings with health (e.g., dietary behaviors). Our results show diet discussions differ depending on the political orientation of the state in which Twitter users reside. Understanding the correlation of dietary preferences based on political orientation can help develop targeted and effective health promotion, communication, and policymaking strategies

Twitter and Research: A Systematic Literature Review Through Text Mining

Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers. The existing literature review papers have been limited by constraints of traditional methods to manually select and analyze samples of topically related papers. The goals of this retrospective study are to identify dominant topics of Twitter-based research, summarize the temporal trend of topics, and interpret the evolution of topics withing the last ten years. This study systematically mines a large number of Twitter-based studies to characterize the relevant literature by an efficient and effective approach. This study collected relevant papers from three databases and applied text mining and trend analysis to detect semantic patterns and explore the yearly development of research themes across a decade. We found 38 topics in more than 18,000 manuscripts published between 2006 and 2019. By quantifying temporal trends, this study found that while 23.7% of topics did not show a significant trend ( P=\u3e0.05 ), 21% of topics had increasing trends and 55.3% of topics had decreasing trends that these hot and cold topics represent three categories: application, methodology, and technology. The contributions of this paper can be utilized in the growing field of Twitter-based research and are beneficial to researchers, educators, and publishers

What do the US West Coast public libraries post on Twitter?

Twitter has provided a great opportunity for public libraries to disseminate information for a variety of purposes. Twitter data have been applied in different domains such as health, politics, and history. There are thousands of public libraries in the US, but no study has yet investigated the content of their social media posts like tweets to find their interests. Moreover, traditional content analysis of Twitter content is not an efficient task for exploring thousands of tweets. Therefore, there is a need for automatic methods to overcome the limitations of manual methods. This paper proposes a computational approach to collecting and analyzing using Twitter Application Programming Interfaces (API) and investigates more than 138,000 tweets from 48 US west coast libraries using topic modeling. We found 20 topics and assigned them to five categories including public relations, book, event, training, and social good. Our results show that the US west coast libraries are more interested in using Twitter for public relations and book-related events. This research has both practical and theoretical applications for libraries as well as other organizations to explore social media actives of their customer and themselves