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The purpose of this study is to explore teen-adult dialogic interactions during the co-design of data literacy activities in order to determine the nature of teen thinking, their emotions, level of engagement, and the power of relationships between teens and adults in the context of data literacy. This study conceives of co-design as a learning space for data literacy. It investigates the teen–adult dialogic interactions and what these interactions say about the nature of teen thinking, their emotions, level of engagement and the power relationships between teens and adults.

The study conceives of co-design as a learning space for teens. Linguistic Inquiry and Word Count (LIWC-22), a natural language processing (NLP) software tool, was used to examine the linguistic measures of Analytic Thinking, Clout, Authenticity, and Emotional Tone using transcriptions of recorded Data Labs with teens and adults. Linguistic Inquiry and Word Count (LIWC-22), a natural language processing (NLP) software tool, was used to examine the linguistic measures of Analytic Thinking, Clout, Authenticity and Emotional Tone using transcriptions of recorded Data Labs with teens and adults.

LIWC-22 scores on the linguistic measures Analytic Thinking, Clout, Authenticity and Emotional Tone indicate that teens had a high level of friendly engagement, a relatively low sense of power compared with the adult co-designers, medium levels of spontaneity and honesty and the prevalence of positive emotions during the co-design sessions.

This study provides a concrete example of how to apply NLP in the context of data literacy in the public library, mapping the LIWC-22 findings to STEM-focused informal learning. It adds to the understanding of assessment/measurement tools and methods for designing data literacy education, stimulating further research and discussion on the ways to empower youth to engage more actively in informal learning about data.

This study applies a novel approach for exploring teen engagement within a co-design project tasked with the creation of youth-oriented data literacy activities.

The purpose of this study was to analyse the hyperlinks leading to six teen health websites in order to assess the visibility of teen health web portals as well as to discover which websites refer teens to reliable health information.

An environmental scan of the web was conducted to find sample health websites for teens. Inlink data was gathered using Google Webmaster Tools, and the inlink sources were classified by the type of creator.

The teen health websites in this study had a low level of visibility on the web compared to general health web portals (such as Medline Plus, for example) and a weak level of referrals from health‐related groups compared to other organisations such as schools and public libraries. Many non‐healthcare related websites are linking to teen health information, demonstrating that teens' health information needs are being met by sources that lack expertise in health care.

Due to the small sample of six websites, generalisations beyond the context of the study are difficult to infer. The Google Webmaster inlink tool does not guarantee 100 per cent coverage and some inlinks may not have been captured by the tool, although this number is most likely minimal. The results of this study present a snapshot rather than an all‐inclusive view of the visibility of teen health websites and offer a starting point for further investigation.

The weak network of inlinks leading from reliable health care providers is a lost opportunity for health care professionals to reach young people.

Due to the weak network of inlinks from reliable health information sources, teens may not be accessing accurate and reliable health information. This could have a potential cost in terms of health outcomes.

The study investigates health information for teens, a population that increasingly uses the web as a source for health information. The authors used an approach that has not been used before in the study of teens and health information on the web.