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Vaccine hesitancy is a long-standing issue among both the general population and health communicators. This study aims to ascertain the inclination and the reasons for vaccine hesitancy by conducting content analysis and sentiment analysis of the perspectives expressed in comments on videos related to vaccine hesitancy uploaded from India on YouTube.

The assessment of the sentiments of the vaccine-hesitant population is done using Valence Aware Dictionary and sEntiment Reasoner sentiment analysis module implemented with Python’s NLTK library to automatically determine the sentiments of the comments. Manual content analysis was performed on 60.09% viewer comments randomly selected from the total comments in 238 videos on vaccine hesitancy originated from India and labelled each comment with labels “Anti”, “Pro”, “Confused”, “Not Applicable” and “Unrelated” labels.

The study found “Mistrust-Government policies”, “Fear-health related consequences”, “Mistrust-Scientific research”, “Vaccine effectiveness and efficacy” and “Misinformation/myths” as the top five determinants for vaccine hesitancy, whereas “Religious beliefs”, “Fear-Economic consequences”, “Side Effects- short-term” and “Fear-mode of administration” found to be the lesser cited reasons for vaccine hesitancy. However, the study also investigates changes in the inclination of Indian commenters towards vaccine hesitancy and revolving issues over time.

Public health policymakers and health communicators may find the study useful in determining vaccine hesitancy factors in India.

The originality of this study lies in its approach. To date, no sentiment analysis has been conducted on the content released on YouTube by Indian content creators regarding pro- and anti-vaccination videos. This inquiry seeks to fill this research gap.

This paper compares the web accessibility of Indian museum websites assessing the level of compliance to the Web Content Accessibility Guidelines 2.1 (WCAG 2.1). The study aims to assess the accessibility of Indian museum websites in terms of their severity.

The accessibility evaluation of 11 Indian museum websites was conducted using Siteimprove Accessibility Checker (SAC), an automated website testing tool.

The study results indicate that the mean conformance score for the Indian museum websites for level A was 19.27, while for level AA and AAA, it came out to be 2.63 and 4.09, respectively, with the highest severity scores for error (16.3) followed by review (5.81) criteria and warning (3.81). The major findings indicate that the websites of Indian museums poorly conform to web accessibility guidelines.

The study's findings will assist the museum's website creators, managers and administrators in determining the level of conformity as per standard accessibility guidelines helping them make strategic decisions to improve the accessibility.

Most of the studies available in the field of website accessibility range from the web accessibility of educational institutions, tourism websites, municipal websites and ministerial websites, but there are very few studies investigating the accessibility of museum websites. A quantitative evaluation of different aspects of accessibility was conducted in the study, which can pave the way for the better design of web sites by addressing deficiencies.

The study aims to investigate the document selection rationale of library and information science students to satisfy their academic needs.

The descriptive survey design was used for the study using questionnaire as the data collection instrument. The collected data are analysed by frequency distribution and presented using charts and tables.

The results of the study reveal the preferences of Library and Information Science (LIS) students and hints what they want from LIS literature. A majority of students prefer books in comparison to journal articles as reading material. The survey revealed a high preference towards books written by authors from national origin than international authors. Similarly, students prefer books published by the national publishers than the international publishers. The findings further suggest that the affiliation of the author is a major factor, as the students prefer books written by authors from central universities more than those written by authors belonging to state universities or authors from industry. Further, students seem to be more impressed with the books written by LIS academics than the books written by practising librarians.

One limitation of the study is that it was conducted in India, taking the case of LIS students from only two universities. To generalise the impact, similar studies should be replicated by taking a larger sample to gain a complete perspective of LIS students.

The findings of the study have both theoretical and practical implications. The theoretical understanding of the behaviour of LIS students will help faculty members to understand the selection rationale of students. The practical aspect of this study is that the findings will help the acquisition librarians to take informed decisions in collection building for LIS collection in their libraries.

Most of the studies available in LIS literature related to reading preferences, study the general aspects such as frequency of library visit, the favourite place of reading, the purpose of library visit, gender-wise distribution of library visit, and time spent in the library. There are very few studies investigating the document selection rationale of LIS students.

The purpose of this study was to perform sentiment analysis and analyze the growth and popularity of Drupal, Joomla and WordPress on YouTube over a four-year period. This included identifying the most liked and commented videos for each content management system (CMS), ranking the CMSs based on the number of positive comments they received, and using natural language processing techniques to identify the top ten most frequently appearing words in videos about the CMSs.

The data for assessing the features of the videos of Drupal, WordPress and Joomla was extracted using Webometric Analyst version 4.4. with the help of the YouTube application programming interface key for videos on the selected CMSs uploaded from 2019 to 2022. The extraction of comments and sentiment analysis for the relevant videos was done using Mozdeh.

This study scrutinized 371, 234 and 313 videos of WordPress, Joomla and Drupal on YouTube. The findings reveal that there is a chronological growth of videos of the three CMSs in four years and till the present time, WordPress has the highest number of videos followed by Drupal and then Joomla. Regarding the ranking of highly liked videos, WordPress again wins the list with the highest number of likes in its videos followed by Drupal and then Joomla. For analyzing sentiments of the total comments extracted 123,409 for WordPress, 1,790 for Joomla and 1,783 for Drupal, respectively, WordPress receives the highest average positive comments followed by Drupal then Joomla. In top word frequency, the word “thank” highly occurs and viewers are asking for more tutorial videos.

To the best of the authors’ knowledge, this study is the first attempt for analyzing the sentiments of WordPress, Drupal and Joomla using Mozdeh software within the concerning period.

The consumption of news from social media is the new trend, still news channels are the authentic source to transmit relevant news to audiences. Social media has gradually left an impact on the audience but the news channels have upgraded and providing various news services online on social media websites. The present study aims to study the type of news videos uploaded by the top five Hindi TV news channels on their YouTube channels with an aim to see which type of videos spark interest for YouTube viewers.

By applying the techniques of content analysis, sentiment analysis and text mining the study aims to measure the average sentiments, top words and the trend of selected popular terms in the comments on uploaded news videos by the top five Hindi news channels over a period of one year.

Results of the study indicate that the news channels are uploading more news videos about crime and investigation, politics, health and protests while uploading fewer news videos covering travel, science and technology, and religion. While the viewers of the participating news channels are more interested in giving their thoughts or opinions in the form of comments on news videos concerning crime, politics, protests and health or that these videos inspire conversation on YouTube.

The findings might be of interest to content managers of news channels to understand the interest of their audience.

The study's distinctiveness resides in the approach utilised to collect data and analyse the results in order to better understand the online behaviour of news channel audiences.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2022-0007

The purpose of the study is to evaluate certain characteristics of the videos of the software Koha and DSpace posted on YouTube. Since YouTube has the potential to provide the content creator to share their knowledge and experience through their content which has become much more beneficial to the information seeker. Nowadays, people search for queries or tutorial videos on YouTube very often to earn a better understanding of the term. Sentiment analysis of the viewers' opinion of the videos is another purpose of this study.

Dataset for evaluating the characteristic of the videos of Koha and DSpace was extracted by using Webometric Analyst by creating YouTube API. Once retrieval of data was completed, a manual verification was enhanced to filter out spam videos unrelated to the scope. After the confirmation of authentic relatable videos, seeking the video's id as query, the comments per video were extracted using Webometric Analyst. For opinion mining, the Parallel Dots API web service was used in Google Sheets as an addon function. The sentiment, multilingual sentiment, emotion, intention and word frequency of the viewers' opinion was examined with the help of certain default functionalities.

Webometric Analyst extracted a total of 461 and 397 videos of Koha and DSpace, respectively, uploaded on the YouTube platform. The findings of the study indicate that the growth rate of videos on Koha is decreasing, while the number of videos uploaded on DSpace is gradually increased in the last 10 years. The highest number of videos posted in 1–20 min duration category with mostly high definition (HD) with standard YouTube license and prominently in the English language. The sentiment analysis of the total extracted comments on Koha and DSpace videos found to be 2043 and 862 comments, respectively, among whom “Positive” comments are mostly found and with “Happy” emotion can be highly detected with most supportive “Feedback” intention on both Koha and DSpace videos. The top word frequency signifies that the users of both the software are using the comments section of the videos on YouTube to ask and provide troubleshooting help to each other.

The present study has some limitations too; the dataset for the study includes only those videos whose title, description or keywords sections had the query terms “Koha” or “DSpace” there are chances that some videos would have been left out from the dataset related to these software.

This is the first paper to evaluate the characteristics and sentiment of both the videos Koha and DSpace. Through this, the popularity, likeness and dislike and the impact of the contents of the videos uploaded will be disclosed, and creators can make an improvement by referring this, and the seekers will adapt to the use of correct and authentic information.

This paper aims to share the experiences gained while developing an electronically accessible personalized and categorized current awareness service (CAS) for the Fellows of the Wissenschaftskolleg zu Berlin – Institute for Advanced Study. The paper also aims to communicate the design and technology behind the development of this service.

A list of journals of interest was compiled. The respective RSS feed links were handpicked from journal web pages. The service was configured to automatically fetch and classify the tables of contents (ToCs) according to the Fellows' interest. The same was presented in a user‐friendly interface.

RSS feeds from electronic journals can be used as a CAS tool to serve frequently updated information to the desk of the users.

The paper can be used as a starting point by practicing librarians to start similar services in small special libraries to strengthen the library's publicity and outreach activities.

This paper demonstrates how personalized current content service can be provided using open source tools.

This paper aims to discuss the present status of using new generation web technology, social media and Web 2.0 features among the technological university library websites in south India. It seeks to assess the library websites as a primary platform and one‐stop portal for information services and to examine how much library websites are effective in providing web‐based information services.

The library websites of the technological universities in south India were evaluated on the basis of a relative weight checklist. The criteria for the checklist were drawn on the basis of availability of websites for library, resource discovery tools, access to scholarly content and Web 2.0 tools. The various issues and challenges in adapting new web technologies in the academic environment are discussed.

Using the current web development technologies and deploying for mainstream web information services is not widespread as web information services are yet to take off widely in academic libraries. The majority of university libraries are found to be working in the conventional library settings and the diffusion rate of web information services is relatively low.

As this is an assessment of the existing online information infrastructure facilities of the engineering universities in south India, the awareness of web‐based information services, their viability, and service values can be enhanced. More emphasis to improve upon the current learning, online educational facilities and benchmarking electronic information services for sustainability is highlighted.

This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.

Survey responses used for analysis in this study have been taken from business managers associated reputed private sector organizations in India. A conceptual model is proposed grounded to the Conservation of Resource Theory (COR). Structural equation modeling has been used to test the proposed model.

Servant leadership significantly relates to firm performance, whereby Big Data is seen to play the role of a mediator. The results also indicate that none of the dimensions of servant leadership independently affect firm performance.

The study adds to extant research by examining the mediating mechanism of Big Data in servant leadership and firm performance. It also suggests that each dimension of servant leadership gets reflected in overall servant leadership. Here it is important to note that Big Data analytics partially mediate the effectiveness of servant leadership.

This paper aims to explore the effect of perceived “self-to-team” deep-level diversity on team’s creative output from a social identity lens’ view.

An experimental study was designed (n = 30 in each experimental condition, namely, homogeneous, heterogeneous and mixed) and vignettes were used to manipulate the experimental conditions. Employees from four Indian organizations participated in the experimental study.

Results indicated that deep-level homogeneous group perceived higher team creative output as compared to the deep-level heterogeneous group. Perceived team creativity climate was found to mediate the effect of team diversity on team’s creative output. Further, it was observed that the quality of perceived creativity climate (positive and negative) moderated the relationship between diversity and team’s creative output.

The diversity–climate–creativity model presented in the paper may help managers to understand how “deep-level” group composition affects a group’s creative performance. The findings of this study may act as a platform for building effective diversity management policies.

The current research has contributed to the limited team diversity and creativity literature. Based on the experimental study, the paper has uniquely investigated team diversity and creativity link along with examining the role of a mediator (creativity climate) and moderator (quality climate) in the relationship. As the study was conducted in Indian settings, the findings were interpreted based on the typical Indian psycho-social characteristics.