Self-disclosure on social networking sites (SNSs) leads to social capital development, connectedness, and relationship building. Due to several benefits associated with this behavior, self-disclosure has become a subject of research over the last few years. The current study investigates the antecedents of self-disclosure under the lens of the technology acceptance model (TAM). The research is quantitative, and the data were collected from 400 Pakistani Facebook users with a variety of demographic characteristics. The partial least squares-structural equation model (PLS-SEM) analysis technique was employed to analyze the data. The study′s findings confirmed that perceived usefulness is a strong predictor of personal information sharing, and it along with other variables causes a 31% variation in self-disclosure behavior. However, trust (medium and social) mediates the relationshipof perceived usefulness, privacy concerns, and self-disclosure behavior.

Selected volumes of the Pakistan Development Review (PDR) and the Pakistan Economic and Social Review (PESR) were analysed to find the citation pattern of their articles. Eight volumes of each journal were selected, two volumes representing a decade. The results revealed that the PDR has been the most cited journal. The mean score of citations per article remained insignificantly different in the two core journals. More than 50 per cent of the citations from both journals were single-authored. More than 50 per cent of the citations were from non-journal sources, mainly books. Although citations from online sources were seen, it was a negligible number. About 47 per cent of the total citations of the PDR were up to five years old compared with the citations of the PESR, where only 25 per cent fell into this category. Most of the authors used foreign books as citations. There is a significant similarity in the top most cited journals in both cases. Most of the frequently cited journals were from the USA.

Report on a survey of alumni of the Pakistan Library Association’s Computer Training Center in Lahore to determine the impact of the Certificate in Library Automation (CLA) on librarianship in Pakistan. The survey provided information on: the profile of the respondents; their participation in computer training before and after taking the CLA; the impact of their training on their success in job seeking; their access to and use of computers; their participation in library automation projects and other auto-mation related activities; and suggestions regarding further courses and the improvement of the Training Centre. The results showed that the courses were attended mainly by comparatively young professional librarians, most of whom were working in Lahore. Their computer training contributed a lot to their success in getting new jobs. Most of them had access to computer facilities in their offices and use them daily, and have participated significantly in automation activities in their libraries. Many also applied their computing knowledge in writing books, articles, delivering lectures and providing consultancy services. Many suggestions were made for improving the courses.

Purpose The use of social media has increased during the COVID-19 pandemic. Social media platforms provide opportunities to share news, ideas and personal stories. Twitter is used by citizens in Pakistan to respond and comment on emerging news stories and events. However, it is not known whether Twitter played a positive or negative role in spreading updates and preventive messages during the COVID-19 pandemic. The purpose of this study is to analyse content from Twitter during the pandemic. Design/methodology/approach NodeXL was used to retrieve data using the keyword وائرس کورونا (written in Urdu and which translates to Coronavirus). The first data set (Case Study 1) was based on 10,284 Twitter users from the end of March. The second data set (Case Study 2) was based on 10,644 Twitter users from the start of April. The theoretical lens of effective message framing was used to classify the most retweeted content on Twitter. Findings Twitter was used for personal and professional projections and included certain tweets included political motives even during the unfolding health crisis. There appeared to be very few successful attempts to use Twitter as a tool for health awareness and risk communication. The empirical findings indicate that the most retweeted messages were gain-framed and can be classified as personal, informative and political in nature. Originality/value The present study provides insights likely to be of interest to researchers, health organizations, citizens, government and politicians that are interested in making more effective use of social media for the purposes of health promotion. The authors also provide novel insights into the key topics of discussions, websites and hashtags used by Pakistani Twitter users during the COVID-19 pandemic.

as Senior Librarian, System & Services. He has been on the panel of instructors of Pakistan Library Association's Computer Training Center, Lahore, from 1998-2003, where he taught library automation to working librarians and students of library schools. Overall he has 13 years' experience of academic institutions, including 10 years as Systems Librarian in the institutions of higher education in Pakistan. He was team lead for implementation of ILS in 9 AKU libraries across three continents.