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Article
Publication date: 5 February 2018

Sumeer Gul, Tariq Ahmad Shah, Muzaffer Ahad, Mir Mubashir, Suhail Ahmad, Muntaha Gul and Shueb Sheikh

The study aims to showcase public sentiments via social media, Twitter, during 2014 floods of Jammu and Kashmir, India.

Abstract

Purpose

The study aims to showcase public sentiments via social media, Twitter, during 2014 floods of Jammu and Kashmir, India.

Design/methodology/approach

The study is based on content analysis of tweets related to Kashmir floods. Search was performed with “#kashmirfloods” and was confined to tweets posted from 4 September 2014 through 3 November 2014. A naturalistic approach was applied to examine the content and classify tweets into 5 major and 25 sub categories. Data as such collected were tabulated in SPSS 21 for analysis.

Findings

During the study period, individuals, news channels, and organisations posted a total of 36,697 tweets related to Kashmir floods. It all started with an outburst of tweets which goes on declining (exponentially) with every passing day. People express themselves in a number of ways with informational tweets used more during the time of disaster. Individuals expressing their sentiments outscore other types of sentiments with text-based tweets ranking high. About 44 per cent of tweets were retweeted, and nearly 31 per cent tweets were marked favourite. Comparatively, more number of informational and help tweets were retweeted or marked favourite. Contextual richness of tweet (i.e. number of embedded expressions) enhances its visibility by means of getting liked and/or retweeted. A statistically significant positive association is observed between the number of expressions in a tweet and the number of times it is liked (favourite) or retweeted.

Research limitations/implications

Twitter plays a pivotal role during natural calamities like Kashmir floods to connect people in the hour of need and help. It provides a platform where the plight of people is heard across the globe and which encourages people to unite and overcome hurdles together.

Originality/value

This study examines the sentiments of people expressed during Jammu and Kashmir (India) Floods 2014 on social media – Twitter.

Details

The Electronic Library, vol. 36 no. 1
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 13 July 2018

Sumeer Gul, Iram Mahajan, Tariq Ahmad Shah, Nahida Tun Nisa, Suhail Ahmad, Huma Shafiq, Sheikh Shueb and Aabid Hussain

The purpose of this paper is to assess the influence of personality traits on perception and acceptance of open access (OA) mode of publishing by the author community of…

Abstract

Purpose

The purpose of this paper is to assess the influence of personality traits on perception and acceptance of open access (OA) mode of publishing by the author community of University of Kashmir, India. The study is an attempt to highlight the relationship between personality traits of authors and OA mode of publishing.

Design/methodology/approach

The study is based on the responses of 48 faculty members affiliated with different Departments of Science Discipline of University of Kashmir. Big Five personality traits (extraversion, agreeableness, conscientiousness, emotional stability and openness to experience) were tapped through ten-item personality inventory, and information regarding OA was gauged through six self-devised statements.

Findings

Pearson correlation test confirms statistically significant relation between personality traits and different dimensions of OA mode of publishing. Personality traits are found to have an influence on author’s perception of OA mode of publishing. However, the study could not ascertain any relation between the notions of an author about the quality of OA content with any of the personality traits. Emotionally stable authors are found to explicitly submit their work in OA journals without any anxiety or negativity. Agreeable and conscientious authors also prefer to keep their work open to make it helpful to the broader audience and get maximum recognition from peers and citations to their work respectively. However, some authors (agreeable) hesitate in submitting their work in open platforms due to the fear of getting their works easily copied.

Originality/value

The study is first of its kind highlighting a new dimension in the field of OA and investigates the influence of personality traits on author’s attitude towards open mode of publishing.

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Article
Publication date: 25 June 2018

Fayaz Ahmad Loan and Shueb Sheikh

This paper aims to identify the scholarly nature of the results retrieved by the Google Scholar on the five major global problems, i.e. global warming, economic recession…

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Abstract

Purpose

This paper aims to identify the scholarly nature of the results retrieved by the Google Scholar on the five major global problems, i.e. global warming, economic recession, terrorism, HIV AIDS and child labour.

Design/methodology/approach

The five terms (global warming, economic recession, terrorism, HIV AIDS and child labour) were searched into the Google Scholar database, and the first 50 retrieved hits were manually analysed to record the relevant bibliographic details. The scholarship of the results was measured by quality indices like h-index, Altmetrics and Journal Impact Factor. The Scopus – the world’s biggest abstract and citation database – was used to identify the h-index of the prolific authors, citations of articles and impact factor of journals.

Findings

The study reveals that Google Scholar retrieves a good number of publications on the selected global problems from reputed publishers such as Nature Publishing Group, Elsevier, Cambridge University Press, Blackwell and Sage and published from well-developed countries such as the USA, UK and Switzerland. Google Scholar mostly retrieves articles and research papers from qualitative journals having a good impact factor such as Nature, Science, The Lancet, American Journal of Public Health, The Economic Journal, Social Science and Medicine and Annals of Tourism Research. These articles and books are contributed by the reputed authors having high h-index. The journal articles and books retrieved have also a good number of citations, although such results are limited. The results prove that Google Scholar is scholarly in nature to a great extent.

Research limitations/implications

The findings are limited to Google Scholar only and cannot be generalized for the rest of the search tools or databases. Further, the study included only five major global problems in the study, and thus, results cannot be applicable to other areas of knowledge.

Practical implications

The study is a checklist to know the retrieval performance of Google Scholar in terms of quality of content.

Originality/value

It is the first study of its kind that takes into account the nature of content on major global problems retrieved by the Google Scholar. It is also the first study that used bibliometric analysis to evaluate the quality of results retrieved.

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Article
Publication date: 6 June 2016

Fayaz Ahmad Loan and Shueb Sheikh

This study aims to assess open access (OA) repositories in the field of the health and medicine (H&M) available in the Directory of the Open Access Repositories (OpenDOAR…

Abstract

Purpose

This study aims to assess open access (OA) repositories in the field of the health and medicine (H&M) available in the Directory of the Open Access Repositories (OpenDOAR) by analysing their various facets like geographical distribution, language diversity, collection size, content types, operational status, interoperability, updating policy and software used for content management.

Design/methodology/approach

To achieve the objectives of the study, the OpenDOAR was selected as a source for identifying the H&M repositories. The required data were manually collected from 1 to 30 April 2014 and analysed using various quantitative techniques to reveal the findings.

Findings

The results reveal that the OpenDOAR lists 254 repositories in the field of the H&M contributed by the 62 countries of the world, topped by the USA (15.4 per cent), followed by Japan (7.9 per cent) and the UK (7.5 per cent). The majority of the repositories are institutional (187, 73.6 per cent) in nature, having less than 5,000 items (161, 63.4 per cent) in the collection and mostly consisting of articles (76.0 per cent), theses (49.6 per cent), unpublished documents (33.1 per cent) and books (31.9 per cent). The linguistic assessment shows that the majority of the H&M repositories accept content written in English language (71.3 per cent), followed by Spanish (16.1 per cent) and Japanese (7.5 per cent). The updating policy of these repositories is not up to the mark, as only 67.0 per cent of the H&M repositories have been updated from 2008-2012, but the majority are still operational (91.7 per cent) and are compatible (67.3 per cent) with the Open Archive Initiative Protocol for Metadata Harvesting (OAI-PMH). About 30 software brands, both commercial and open source, have been used by administrators for creating these repositories and managing their content. DSpace is the most popular software used by 88 (34.7 per cent) repositories, followed by EPrints (43, 16.9 per cent) and Digital Commons (18, 7.1 per cent).

Research limitations/implications

The scope of this study is limited to the health and medical repositories listed in OpenDOAR, and hence the generalisation is to be cautioned.

Practical implications

This study is useful for library and information professionals and health and medical professionals across the globe.

Originality/value

This study is the first attempt to analyse the health and medical repositories in OA sites.

Details

The Electronic Library, vol. 34 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 9 April 2019

Aabid Hussain, Sumeer Gul, Tariq Ahmad Shah and Sheikh Shueb

The purpose of this study is to explore the retrieval effectiveness of three image search engines (ISE) – Google Images, Yahoo Image Search and Picsearch in terms of their…

Abstract

Purpose

The purpose of this study is to explore the retrieval effectiveness of three image search engines (ISE) – Google Images, Yahoo Image Search and Picsearch in terms of their image retrieval capability. It is an effort to carry out a Cranfield experiment to know how efficient the commercial giants in the image search are and how efficient an image specific search engine is.

Design/methodology/approach

The keyword search feature of three ISEs – Google images, Yahoo Image Search and Picsearch – was exploited to make search with keyword captions of photos as query terms. Selected top ten images were used to act as a testbed for the study, as images were searched in accordance with features of the test bed. Features to be looked for included size (1200 × 800), format of images (JPEG/JPG) and the rank of the original image retrieved by ISEs under study. To gauge the overall retrieval effectiveness in terms of set standards, only first 50 result hits were checked. Retrieval efficiency of select ISEs were examined with respect to their precision and relative recall.

Findings

Yahoo Image Search outscores Google Images and Picsearch both in terms of precision and relative recall. Regarding other criteria – image size, image format and image rank in search results, Google Images is ahead of others.

Research limitations/implications

The study only takes into consideration basic image search feature, i.e. text-based search.

Practical implications

The study implies that image search engines should focus on relevant descriptions. The study evaluated text-based image retrieval facilities and thereby offers a choice to users to select best among the available ISEs for their use.

Originality/value

The study provides an insight into the effectiveness of the three ISEs. The study is one of the few studies to gauge retrieval effectiveness of ISEs. Study also produced key findings that are important for all ISE users and researchers and the Web image search industry. Findings of the study will also prove useful for search engine companies to improve their services.

Details

The Electronic Library , vol. 37 no. 1
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 31 August 2021

Sheikh Shueb, Sumeer Gul, Nahida Tun Nisa, Taseen Shabir, Shafiq Ur Rehman and Aabid Hussain

The purpose of the study is to map the funding status of COVID-19 research. The various aspects, such as funding ratio, geographical distribution of funded articles…

Abstract

Purpose

The purpose of the study is to map the funding status of COVID-19 research. The various aspects, such as funding ratio, geographical distribution of funded articles, journals publishing funded research and institutions that sponsor the COVID-19 research are studied. To visualize the country collaboration network and research trends/hotspots in the field of COVID-19 funded research, keyword analysis is also performed. The open-access (OA) status of the funded research on COVID-19 is also discussed.

Design/methodology/approach

The leading indexing and abstracting database, i.e. Web of Science (WoS), was used to retrieve the funded articles published on the topic COVID-19. The scientometric approach, more particularly “funding acknowledgment analysis (FAA),” was used to study the research funding.

Findings

A total of 5,546 publications of varied nature have been published on COVID-19, of which 1,760 are funded, thus indicating a funding ratio of 32%. China is the leading producer of funded research (760, 43.182%) on COVID-19 followed by the USA (482, 27.386%), England (179, 10.17%), Italy (119, 6.761%), Germany (107, 6.08%) and Canada (107, 6.08%). China is also in lead in terms of the funding ratio (60.94%). However, the funding ratio of the USA (31.54%) is at 11th rank behind Canada (40.68%), Germany (34.18%) and England (35.87%). The USA occupies a central position in the collaboration network having the highest score of articles with other countries (n = 489), with the USA–China collaboration ranking first (n = 123). National Natural Science Foundation of China (NSFC) is the largest source of funding for COVID-19 research, supporting 342 (19.432%) publications, followed by the United States Department of Health Human Services (DHHS) and National Institute of Health (NIH), USA with 211 (11.989%) and 200 (11.364%) publications, respectively. However, China's National Key Research and Development Program achieves the highest citation impact (80.24) for its funded publications. Journal of Medical Virology, Science of the Total Environment and EuroSurveillance are the three most prolific journals publishing 63 (3.58%), 35 (1.989%) and 32 (1.818%), respectively, of the sponsored research articles on the COVID-19. A total of 3,138 institutions produce funded articles with Huazhong University of Science Technology and Wuhan University from China at the forefront publishing 92 (5.227%) and 83 (4.716%) publications, respectively. The funded research on COVID-19 is largely available in OA mode (1,674, 95.11%) and mainly through the Green and Bronze routes. The keyword clustering reveals that the articles mainly focus on the impact, structure and clinical characteristics of the virus.

Research limitations/implications

The study's main limitation is that the results are based on the publications indexed by WoS, which has limited coverage compared to other databases. Moreover, all the funding agencies do not require or authors miss to acknowledge funding sources in their publications, which ultimately undermines the number of funded publications. The research publications on COVID-19 are also proliferating; thus, the study's findings shall be valid for a minimum period.

Practical implications

The funding of research on the COVID-19 is highly essential to accelerate innovative research and help countries fight against the global pandemic. The study's findings reflect the efforts made by nations and institutions to remove the financial and accessibility hurdles. It not only underscores the lead of the USA in the research on COVID-19, but also shows China as a forerunner in sponsoring the research, thus, helping to know the contribution of nations toward understanding the dynamics of pandemic and controlling it. The study will help healthcare practitioners and policymakers recognize the areas that remain the focus of sponsored research on COVID-19 and other left-out areas that need to be taken up and thus may help in policy formulation. It further highlights the impact of prolific funding agencies so that efforts may be initiated to increase the impact and thereby the returns of investment. The study can help to map the scientific structure of COVID-19 through the lens of funded research and recognize core inclinations of its development. Overall, a comprehensive analysis has been performed to present the detailed characteristics of sponsored research on emerging area of COVID-19, and it is informative, useful and one of its kind on the theme.

Originality/value

The study explores the funding support of research on COVID-19 and its other aspects, along with the mode of availability.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

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Article
Publication date: 31 December 2019

Sumeer Gul, Shazia Bashir and Shabir Ahmad Ganaie

The purpose of this paper is to explore the status of institutional repositories (IRs) in the South Asian region. The various characteristic features of IRs are studied.

Abstract

Purpose

The purpose of this paper is to explore the status of institutional repositories (IRs) in the South Asian region. The various characteristic features of IRs are studied.

Design/methodology/approach

Open directory of open access repositories (DOAR) as a data-gathering tool was consulted for extracting the desired data.

Findings

India, Sri Lanka and Bangladesh lead other South Asian nations in terms of IRs count. Majority of the IRs are operational in nature with higher number of operational IRs from India. In terms of record count, India leads the list. “Journal articles” outscore other content type and majority of the IRs have OAI-PMH as their base URL. DSpace stays a prioritized software for content management in IRs. Majority of the IRs have not defined their content management policies. English stays a prioritized language of the content dotting the South Asian IRs and majority of the IRs not providing usage statistics. A good score of IRs has incorporated Web 2.0 tools in them with RSS as the preferred Web 2.0 tool. A good count of the IRs has not customized their interface. Majority of the IRs have interface in two languages.

Research limitations/implications

The main limitation of the study is that the findings of the research are based on the data collected through the repositories indexed by Open DOAR.

Originality/value

The study tries to explore the characteristic features of IRs from the South Asian region.

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Article
Publication date: 12 October 2021

Aasif Ahmad Mir, Sevukan Rathinam and Sumeer Gul

Twitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global…

Abstract

Purpose

Twitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles.

Design/methodology/approach

To fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning(VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used.

Findings

A gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments.

Research limitations/implications

The main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied.

Practical implications

The study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines.

Originality/value

The paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

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