Library & Information Sciences

Title listings: Library & Information Sciences

Listings show titles for 2023 subscriptions. Listings are to be used as a guide only and are subject to change.

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USED IN POLICY

The presumed influence of digital misinformation: examining US public’s support for governmental restrictions versus corrective action in the COVID-19 pandemic​

Online Information Review​

​Analyses restrictive versus corrective actions in response to the perceived third-person effects of misinformation on social media in the USA.

LINKED TO SDGs

Digital divide in the major regions of the world and the possibility of convergence​

​The Bottom Line ​

​Investigates the nature of the inequalities in the usage of the internet and inequalities in the growth rate in the usage of the internet.

HIGHLY CITED

User motivation in fake news sharing during the COVID-19 pandemic: an application of the uses and gratification theory​

​Online Information Review​

​Develops a predictive model establishing the user motivational factors that predict COVID-19 fake news sharing on social media.

CITED IN MEDIA

Towards understanding the gender digital divide: a systematic literature review​

​Global Knowledge, Memory and Communication​
​Addresses the gender digital divide through the adoption of information and communication technologies.

HIGH ALTMETRICS SCORE

Situating race: the case for examining Black children’s informal mathematics learning outside of schools​

​Information and Learning Sciences​

Highlights the ways racialization in K-12 mathematics classrooms has narrowed the understanding of mathematical learning for Black children.

HIGHLY DOWNLOADED

Retrospective and prospective approaches of coronavirus publications in the last half-century: a Latent Dirichlet allocation analysis​

​Library Hi Tech​

​Topic modelling of the global coronavirus publications in the last 50 years.

RECENT SPECIAL ISSUES

Anti-Racist Action in Libraries

​Reference Services Review​

Teaching and Learning about Misinformation and Disinformation: Evidence-based Practices and Approaches​

​Information and Learning Sciences

NOTABLE AUTHOR

Prof. Dr. Claude Draude, based at the University of Kassel, Germany (Faculty of Electrical Engineering and Computer Science) recently published a paper in Online Information Review that suggests 'in order to tackle the question of bias in algorithms, a systemic, sociotechnical and holistic perspective is needed'.