Purpose The purpose of this paper is to identify the types of contents shared through Facebook during different phases of disaster management. Design/methodology/approach The primary data of this study were collected using the qualitative method. To acquire the necessary data, researcher selected 50 Sri Lankan Facebook users who can read and understand Sinhala with more than 1,000 friends using the snowball sampling method. Selected Facebook users had to collect Facebook posts related to flood during two weeks time period. Data were collected until it reached data saturation point. The collected Facebook posts were transcribed and translated into English. Thematic analysis was used to analyze the Facebook posts. Findings The most prominent use of Facebook for disaster communication can be observed in, during and post-disaster phases. In the during-disaster phase, people used Facebook to share posts related to disaster warning, request for help or rescue, share information about rescue missions, share contact numbers of rescue teams, request donation items, coordinate aid distribution, ask for volunteer work and to provide feedback about the ongoing funding programs. In the post-disaster phase, people used Facebook to request volunteer help for cleaning, to provide feedback about the progress and to ask about donating cleaning products. Originality/value Findings of this study can be used by the government or authorized bodies to develop official social media channels, which would fulfill information requirements during disaster situations.

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The present study aimed at analyzing the publication pattern of highly cited research publications of Internet of Things. Web of Science citation database was used to extract data for the study. The top fifty highly cited publications were considered as the sample of this study. The data were analyzed based on publication year, document type, source title, time cited, usage count, authorship pattern, collaborative coefficient, research collaboration, and research areas. The findings revealed that majority of the publications were research articles and most of them were published in IEEE journals. Research articles written by multiple authors were more prominent than single-author publications. Researchers from USA and China preferred collaborative research and researchers from Italy preferred noninternational collaborative research. The researchers from developed western countries are highly engaging with research in Internet of Things. The most popular research areas under Internet of Things are computer science and telecommunication.

The COVID‐19 pandemic necessitated the understanding of the infodemic for making informed decisions. Limiting the spread of health misinformation and disinformation was the primary goal of the health informatics project. The project became the recipient of the ASIS&T “Chapter Innovation of the Year Award 2021”. A repertoire of online and offline initiatives was carried out with 9 well‐researched videos for promoting health informatics. Since August 2021, thousands of academics, librarians, teachers, parents, and students from 16 countries and regions were invited to be science communicators to create and disseminate accurate health information in their areas through an international digital story writing competition. In this paper, we will discuss the strategies of responding to the information crisis, including employing interventions that protect against the infodemic and mitigate its harmful effects, to strengthen the resilience of individuals and communities in dealing with it in an information‐resilient society.

Social media is a remarkable outcome of Web 2.0 technology, which is very popular among the Internet users. The general public is using social media as a communication media to fulfil their information requirements on various occasions such as disaster communication, health communication, marketing products and services and political campaigns. However, the openness of social media provides a great platform for misinformation sharing which is a very common problem in social media communication. Hence, the main objectives of this study are to analyse the publication year and total citation count of publications on misinformation on social media and to identify the main disciplines of misinformation studies on social media using the text mining technique. The primary data of this study were extracted from the Web of Science database using the keywords; social media, misinformation, disinformation and fake news on 16th April 2020. The WoS provided 62 search results and all 62 articles were considered in this study. The title of the article, journal, published year, total citation, abstract, author keywords, keywords plus, Web of Science categories, and research areas were extracted from WoS database. The text mining was done manually. According to the results, scholarly publications on misinformation on social media were first published in the year 2012. Scholarly publications were categorized into 10 main categories; Information, Media, Medical information, Social Science, Communication, Health information, Computer science, Other Sciences, Engineering and Management and Finance. The medical information subject area is covering vast varieties of research areas than the other main subject areas.

Information has becoming the most valuable asset in the emerging world. Hence, information has become one of the major driving forces that lead a country towards sustainable development. While the libraries and other information centers are closed around the world, it could be adversely affected on the economy and general livelihood of the society. Thus, continuing the information services uninterruptedly is a matter of significance. However, the continuum of library services during lock-down situations and post-pandemic scenarios should be practice with proper care and understanding, especially during the post-pandemic conditions when re-commencing work in an academic library after the lock-down situation. Prevailing COVID-19 pandemic has provided an eye-opening lesson for academic librarians to rethink the way they perform and in what ways they can prepare for the post-pandemic reopening of the library. With the knowledge of the COVID-19 pandemic and related pathological nature of the virus, the present approach attempts to formulate an input while reopening the academic libraries of Sri Lanka. The concept also is applicable while planning to provide library services in similar post-lockdown scenarios. Practical safety precautions were suggested after conducting a thorough literature search in relevant and reputed journal databases, magazines and official websites. It can be recommended that the library should formulate a dedicated body, with the leadership of one senior member of the library staff for the overall monitoring and assessment of the pandemic-safety in the reopening time. Awareness of the libraries' stakeholders via

Measuring the impact of a research publication is a vital factor in the scholarly world. Citation count is a single dimension of measuring the impact of a scholarly publication. However, the evolution of the Internet has changed the ways of accessing research publications and research communication. As a result of the Internet, altmetric became a popular tool to measure the research impact. The objective of the article is to identify the correlations between Citation Count and Altmetrics Attention Score based on the top 100 highly cited articles available in the Web of Science database. The scholarly publications related to breast cancer published in 2014 were selected as the target population. Web of Science database was used to collect the bibliographic information and citation count of the highly cited articles. The keyword "Breast Cancer" was used in the 'title' field of WoS and the search was limited to open access journal articles. The search results were arranged according to the times cited from highest to lowest and ranked according to the citation count. The articles within the top 100 rankings according to the citation count were selected as the sample of this study. Altmetrics bookmarklet was used to collect the Altmetrics Attention Scores of the selected articles. Data were analyzed using SPSS 20 software and Microsoft Excel. Spearman's rank order correlation coefficient was used to determine the relationship between Citation Count and Altmetrics Attention Score. The study revealed that there is a positive correlation (r s = .552, p < 0.01) between the Citation Count and the Altmetrics Attention Score.

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