The Everyday Sexism Project documents everyday examples of sexism reported by volunteer contributors from all around the world. It collected 100,000 entries in 13+ languages within the first 3 years of its existence. The content of reports in various languages submitted to Everyday Sexism is a valuable source of crowdsourced information with great potential for feminist and gender studies. In this paper, we take a computational approach to analyze the content of reports. We use topic-modelling techniques to extract emerging topics and concepts from the reports, and to map the semantic relations between those topics. The resulting picture closely resembles and adds to that arrived at through qualitative analysis, showing that this form of topic modeling could be useful for sifting through datasets that had not previously been subject to any analysis. More precisely, we come up with a map of topics for two different resolutions of our topic model and discuss the connection between the identified topics. In the low resolution picture, for instance, we found Public space/Street, Online, Work related/Office, Transport, School, Media harassment, and Domestic abuse. Among these, the strongest connection is between Public space/Street harassment and Domestic abuse and sexism in personal relationships.The strength of the relationships between topics illustrates the fluid and ubiquitous nature of sexism, with no single experience being unrelated to another.

Background Non-medical issues (e.g. loneliness, financial concerns, housing problems) can shape how people feel physically and psychologically. This has been emphasised during the Covid-19 pandemic, especially for older people. Social prescribing is proposed as a means of addressing non-medical issues, which can include drawing on support offered by the cultural sector. Method A rapid realist review was conducted to explore how the cultural sector (in particular public/curated gardens, libraries and museums), as part of social prescribing, can support the holistic well-being of older people under conditions imposed by the pandemic. An initial programme theory was developed from our existing knowledge and discussions with cultural sector staff. It informed searches on databases and within the grey literature for relevant documents, which were screened against the review’s inclusion criteria. Data were extracted from these documents to develop context-mechanism-outcome configurations (CMOCs). We used the CMOCs to refine our initial programme theory. Results Data were extracted from 42 documents. CMOCs developed from these documents highlighted the importance of tailoring—shaping support available through the cultural sector to the needs and expectations of older people—through messaging, matching, monitoring and partnerships. Tailoring can help to secure benefits that older people may derive from engaging with a cultural offer—being distracted (absorbed in an activity) or psychologically held, making connections or transforming through self-growth. We explored the idea of tailoring in more detail by considering it in relation to Social Exchange Theory. Conclusions Tailoring cultural offers to the variety of conditions and circumstances encountered in later life, and to changes in social circumstances (e.g. a global pandemic), is central to social prescribing for older people involving the cultural sector. Adaptations should be directed towards achieving key benefits for older people who have reported feeling lonely, anxious and unwell during the pandemic and recovery from it.

The paper studies the transition to ICT-based

Research design & methods Usage Statistics Usage statistics for both EEBO and HCPP were provided by ProQuest and Jisc for the period from 2004-2015. These data included results aggregated at the monthly level per UK institution that has a subscription to the collections. The statistics include numbers of web sessions, searches, 'hits', document views, PDFs access, full text views, searches and other data. Some of these data are inconsistent across the time period due to changes in access modes and policies, so we have relied most heavily in this report on the most consistent fields: [Document/Page Image Views] (ProQuest) and [Page Views] (Jisc) in EEBO and [Full Texts Accessed] in HCPP. These are slightly different in practice, but provide comparable data in terms of trends. The absolute numbers, however, cannot be directly compared for any of the variables available. The data were provided by ProQuest in Excel format, which were then imported into an Access database where they were cleaned and combined with publicly available data 6 from the 2014 Research Excellence Framework (REF) exercise in the UK, and geo-coded using data obtained from Google Maps. As institutional names were not consistent among the various sources, a table was used to link the different data sources. Additional data were provided by Jisc from the Historical Texts platform, dating from June 2014 until the end of 2015. These data were also in Excel format, and were imported into the same database and linked with the other data described above.

PurposeWebometric studies, using hyperlinks between websites as the basic data type, have been used to assess academic networks, the “impact factor” of academic communications and to analyse the impact of online digital libraries, and the impact of digital scholarly images. This study aims to be the first to use these methods to trace the impact, or success, of digitised scholarly resources in the Humanities. Running alongside a number of other methods of measuring impact online, the webometric study described here also aims to assess whether it is possible to measure a resource's impact using webometric analysis.Design/methodology/approachLink data were collected for five target project sites and a range of comparator sites.FindingsThe results show that digitised resources online can leave traces that can be identified and used to assess their impact. Where digitised resources are situated on shifting URLs, or amalgamated into larger online resources, their impact is difficult to measure with these methods, however.Originality/valueThis study is the first to use webometric methods to probe the impact of digitised scholarly resources in the Humanities.