Search results

1 – 10 of 142
To view the access options for this content please click here
Article
Publication date: 20 March 2017

Mike Thelwall

Mendeley reader counts have been proposed as early indicators for the impact of academic publications. The purpose of this paper is to assess whether there are enough…

Abstract

Purpose

Mendeley reader counts have been proposed as early indicators for the impact of academic publications. The purpose of this paper is to assess whether there are enough Mendeley readers for research evaluation purposes during the month when an article is first published.

Design/methodology/approach

Average Mendeley reader counts were compared to the average Scopus citation counts for 104,520 articles from ten disciplines during the second half of 2016.

Findings

Articles attracted, on average, between 0.1 and 0.8 Mendeley readers per article in the month in which they first appeared in Scopus. This is about ten times more than the average Scopus citation count.

Research limitations/implications

Other disciplines may use Mendeley more or less than the ten investigated here. The results are dependent on Scopus’s indexing practices, and Mendeley reader counts can be manipulated and have national and seniority biases.

Practical implications

Mendeley reader counts during the month of publication are more powerful than Scopus citations for comparing the average impacts of groups of documents but are not high enough to differentiate between the impacts of typical individual articles.

Originality/value

This is the first multi-disciplinary and systematic analysis of Mendeley reader counts from the publication month of an article.

Details

Aslib Journal of Information Management, vol. 69 no. 2
Type: Research Article
ISSN: 2050-3806

Keywords

To view the access options for this content please click here
Article
Publication date: 25 October 2018

Amalia Mas-Bleda and Mike Thelwall

The purpose of this paper is to assess the educational value of prestigious and productive Spanish scholarly publishers based on mentions of their books in online…

Abstract

Purpose

The purpose of this paper is to assess the educational value of prestigious and productive Spanish scholarly publishers based on mentions of their books in online scholarly syllabi.

Design/methodology/approach

Syllabus mentions of 15,117 books from 27 publishers were searched for, manually checked and compared with Microsoft Academic (MA) citations.

Findings

Most books published by Ariel, Síntesis, Tecnos and Cátedra have been mentioned in at least one online syllabus, indicating that their books have consistently high educational value. In contrast, few books published by the most productive publishers were mentioned in online syllabi. Prestigious publishers have both the highest educational impact based on syllabus mentions and the highest research impact based on MA citations.

Research limitations/implications

The results might be different for other publishers. The online syllabus mentions found may be a small fraction of the syllabus mentions of the sampled books.

Practical implications

Authors of Spanish-language social sciences and humanities books should consider general prestige when selecting a publisher if they want educational uptake for their work.

Originality/value

This is the first study assessing book publishers based on syllabus mentions.

Details

Aslib Journal of Information Management, vol. 70 no. 6
Type: Research Article
ISSN: 2050-3806

Keywords

To view the access options for this content please click here
Article
Publication date: 23 October 2020

Mike Thelwall and Saheeda Thelwall

Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information…

Abstract

Purpose

Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19.

Design/methodology/approach

A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10–29, 2020.

Findings

The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news.

Research limitations/implications

Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed.

Practical implications

Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues.

Originality/value

This is the first qualitative analysis of general COVID-19-related retweeting.

Details

Aslib Journal of Information Management, vol. 72 no. 6
Type: Research Article
ISSN: 2050-3806

Keywords

To view the access options for this content please click here
Article
Publication date: 11 June 2018

Mike Thelwall

The purpose of this paper is to investigate whether machine learning induces gender biases in the sense of results that are more accurate for male authors or for female…

Abstract

Purpose

The purpose of this paper is to investigate whether machine learning induces gender biases in the sense of results that are more accurate for male authors or for female authors. It also investigates whether training separate male and female variants could improve the accuracy of machine learning for sentiment analysis.

Design/methodology/approach

This paper uses ratings-balanced sets of reviews of restaurants and hotels (3 sets) to train algorithms with and without gender selection.

Findings

Accuracy is higher on female-authored reviews than on male-authored reviews for all data sets, so applications of sentiment analysis using mixed gender data sets will over represent the opinions of women. Training on same gender data improves performance less than having additional data from both genders.

Practical implications

End users of sentiment analysis should be aware that its small gender biases can affect the conclusions drawn from it and apply correction factors when necessary. Users of systems that incorporate sentiment analysis should be aware that performance will vary by author gender. Developers do not need to create gender-specific algorithms unless they have more training data than their system can cope with.

Originality/value

This is the first demonstration of gender bias in machine learning sentiment analysis.

Details

Online Information Review, vol. 42 no. 3
Type: Research Article
ISSN: 1468-4527

Keywords

To view the access options for this content please click here
Article
Publication date: 1 May 2002

Mike Thelwall

There have been many attempts to study the content of the Web, either through human or automatic agents. Describes five different previously used Web survey methodologies…

Abstract

There have been many attempts to study the content of the Web, either through human or automatic agents. Describes five different previously used Web survey methodologies, each justifiable in its own right, but presents a simple experiment that demonstrates concrete differences between them. The concept of crawling the Web also bears further inspection, including the scope of the pages to crawl, the method used to access and index each page, and the algorithm for the identification of duplicate pages. The issues involved here will be well‐known to many computer scientists but, with the increasing use of crawlers and search engines in other disciplines, they now require a public discussion in the wider research community. Concludes that any scientific attempt to crawl the Web must make available the parameters under which it is operating so that researchers can, in principle, replicate experiments or be aware of and take into account differences between methodologies. Also introduces a new hybrid random page selection methodology.

Details

Internet Research, vol. 12 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

To view the access options for this content please click here
Article
Publication date: 12 February 2018

Mike Thelwall

The purpose of this paper is to test if there are biases in lexical sentiment analysis accuracy between reviews authored by males and females.

Abstract

Purpose

The purpose of this paper is to test if there are biases in lexical sentiment analysis accuracy between reviews authored by males and females.

Design/methodology/approach

This paper uses data sets of TripAdvisor reviews of hotels and restaurants in the UK written by UK residents to contrast the accuracy of lexical sentiment analysis for males and females.

Findings

Male sentiment is harder to detect because it is less explicit. There was no evidence that this problem could be solved by gender-specific lexical sentiment analysis.

Research limitations/implications

Only one lexical sentiment analysis algorithm was used.

Practical implications

Care should be taken when drawing conclusions about gender differences from automatic sentiment analysis results. When comparing opinions for product aspects that appeal differently to men and women, female sentiments are likely to be overrepresented, biasing the results.

Originality/value

This is the first evidence that lexical sentiment analysis is less able to detect the opinions of one gender than another.

Details

Online Information Review, vol. 42 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

To view the access options for this content please click here
Article
Publication date: 15 January 2018

Mike Thelwall and Amalia Mas-Bleda

The purpose of this paper is to analyse popular YouTube science video channels for evidence of attractiveness to a female audience.

Abstract

Purpose

The purpose of this paper is to analyse popular YouTube science video channels for evidence of attractiveness to a female audience.

Design/methodology/approach

The influence of presenter gender and commenter sentiment towards males and females is investigated for 50 YouTube science channels with a combined view-count approaching ten billion. This is cross-referenced with commenter gender as a proxy for audience gender.

Findings

The ratio of male to female commenters varies between 1 and 39 to 1, but the low proportions of females seem to be due to the topic or presentation style rather than the gender of the presenter or the attitudes of the commenters. Although male commenters were more hostile to other males than to females, a few posted inappropriate sexual references that may alienate females.

Research limitations/implications

Comments reflect a tiny and biased sample of YouTube science channel viewers and so their analysis provides weak evidence.

Practical implications

Sexist behaviour in YouTube commenting needs to be combatted but the data suggest that gender balance in online science presenters should not be the primary concern of channel owners.

Originality/value

This is the largest scale analysis of gender in YouTube science communication.

Details

Aslib Journal of Information Management, vol. 70 no. 1
Type: Research Article
ISSN: 2050-3806

Keywords

To view the access options for this content please click here
Article
Publication date: 27 June 2019

Mike Thelwall and Karen Bourrier

Despite the social, educational and therapeutic benefits of book clubs, little is known about which books participants are likely to have read. In response, the purpose of…

Abstract

Purpose

Despite the social, educational and therapeutic benefits of book clubs, little is known about which books participants are likely to have read. In response, the purpose of this paper is to investigate the public bookshelves of those that have joined a group within the Goodreads social network site.

Design/methodology/approach

Books listed as read by members of 50 large English-language Goodreads groups – with a genre focus or other theme – were compiled by author and title.

Findings

Recent and youth-oriented fiction dominate the 50 books most read by book club members, whilst almost half are works of literature frequently taught at the secondary and postsecondary level (literary classics). Whilst J.K. Rowling is almost ubiquitous (at least 63 per cent as frequently listed as other authors in any group, including groups for other genres), most authors, including Shakespeare (15 per cent), Goulding (6 per cent) and Hemmingway (9 per cent), are little read by some groups. Nor are individual recent literary prize winners or works in languages other than English frequently read.

Research limitations/implications

Although these results are derived from a single popular website, knowing more about what book club members are likely to have read should help participants, organisers and moderators. For example, recent literary prize winners might be a good choice, given that few members may have read them.

Originality/value

This is the first large scale study of book group members’ reading patterns. Whilst typical reading is likely to vary by group theme and average age, there seems to be a mainly female canon of about 14 authors and 19 books that Goodreads book club members are likely to have read.

Details

Journal of Documentation, vol. 75 no. 5
Type: Research Article
ISSN: 0022-0418

Keywords

To view the access options for this content please click here
Article
Publication date: 1 April 2002

Mike Thelwall

Aggregates of links are of interest to information scientists in the same way as citation counts are: as potential sources of data from which new knowledge can be mined…

Abstract

Aggregates of links are of interest to information scientists in the same way as citation counts are: as potential sources of data from which new knowledge can be mined. Builds on the recent discovery of a correlation between a Web link count measure and the research quality of British universities by applying a range of multivariate statistical techniques to counts of links between pairs of universities. This represents an initial attempt at developing an understanding of this phenomenon. Extracts plausible results. Also identifies outliers in the data by the techniques, some of which were verified by being tracked down to identifiable Web phenomena. This is an important outcome because successful anomaly identification is a precondition to more effective analysis of this kind of data. The identification of groupings is encouraging evidence that Web links between universities can be mined for significant results, although it is clear that more methodological development is needed, if any but the simplest patterns are to be extracted. Finally, based upon the types of patterns extracted, argues that none of the methods used are capable of fully analysing link structures on their own.

Details

Aslib Proceedings, vol. 54 no. 2
Type: Research Article
ISSN: 0001-253X

Keywords

To view the access options for this content please click here
Article
Publication date: 26 May 2021

Mike Thelwall

Despite lifestyle information needs being an important part of our daily lives, little is known about the role of common sources. Whilst magazines and television are…

Abstract

Purpose

Despite lifestyle information needs being an important part of our daily lives, little is known about the role of common sources. Whilst magazines and television are traditional providers of lifestyle content, including for fashion, makeup, fitness and cookery, they have been partly replaced by content-creating online influencers.

Design/methodology/approach

To investigate this new resource, this article analyses comments on the videos of 223 UK female lifestyle influencers on YouTube for information about possible viewing patterns.

Findings

Three quarters of comments are written during the week of the video being published, consistent with videos being consumed with an information browsing function, rather than treated as an information resource to be searched when needed. Commenting on the videos of multiple influencers occurred often, suggesting that many viewers are not loyal to a single influencer. Thus, influencers seem to primarily support active scanning rather than searching for specific information. Typical viewers of UK female lifestyle influencers can therefore expect to accumulate lifestyle ideas and knowledge for potential future use in addition to gaining timely suggestions for near future routine decision-making.

Practical implications

Public-facing information professionals, health professionals and counsellors may consider recommending selected videos or influencers to help with lifestyle concerns.

Originality/value

This is the first large scale study of content-creating influencers as a lifestyle information resource.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

1 – 10 of 142