Purpose

Information practices become highly complex in biodiversity citizen science projects due to the projects’ large scale, distributed setting and vast inclusion of participants. This study aims to contribute to knowledge concerning what variations of information practices can be found in biodiversity citizen science and what these practices may mean for the overall collaborative biodiversity data production in such projects.

Design/methodology/approach

Fifteen semi-structured interviews were carried out with participants engaged with the Swedish biodiversity citizen science information system Artportalen. The empirical data were analysed through a practice-theoretical lens investigating information practices in general and variations of practices in particular.

Findings

The analysis shows that the nexus of biodiversity citizen science information practices consists of observing, identifying, reporting, collecting, curating and validating species as well as decision-making. Information practices vary depending on participants’ technical know-how; knowledge production and learning; and preservation motivations. The study also found that reporting tools and field guides are significant for the formation of information practices. Competition was found to provide data quantity and knowledge growth but may inflict data bias. Finally, a discrepancy between practices of validating and decision-making have been noted, which could be mitigated by involving intermediary participants for mutual understandings of data.

Originality/value

The study places an empirically grounded information practice-theoretical perspective on citizen science participation, extending previous research seeking to model participant activities. Furthermore, the study nuances previous practice-oriented perspectives on citizen science by emphasising variations of practices.

This study seeks to develop a method for identifying the occurrences and proportions of researchers, media and other professionals active in Twitter discussions. As a case example, an anonymised dataset from Twitter vaccine discussions is used. The study proposes a method of using keywords as strings within lists to identify classes from user biographies. This provides a way to apply multiple classification principles to a set of Twitter biographies using semantic rules through the Python programming language.

This study explores how material qualities of tools contribute to shape information practices of observing, documenting, identifying and reporting species in biodiversity citizen science. Through participant observation and trace ethnography, information practices enacted during a field excursion at a World Heritage Site in south-eastern Sweden are investigated in relation to reported data submitted to the species observation system Artportalen. The study, which adopts a theoretical lens comprising the analytical concepts of epistemic objects and inscriptions, finds that the participants’ situated questioning, discussion, documenting and comparison of species through tool use establishes the observations as projections of knowledge claims. These projections are subsequently constrained but also appended as they are reported as data via Artportalen. As material qualities are generally made invisible, the reported data are augmented by the observation system when merged with other reports to aggregated data. The study extends knowledge concerning how biodiversity citizen science field excursions are conducted by understanding information practices and their outcomes as entangled activities characterised by negotiations in relation to material tools rather than as streamlined processes. Consequently, the results expand knowledge of the messy practices carried out to produce biodiversity citizen science data.

Purpose

The purpose of this study is to contribute with knowledge about how valid research data in biodiversity citizen science are produced through information practices and how notions of credibility and authority emerge from these practices.

Design/methodology/approach

Data were collected through an empirical, interview-based study of the information practices of 15 participants active in the vicinity of the Swedish biodiversity citizen science information system Artportalen. Interview transcripts were analysed abductively and qualitatively through a coding scheme by working back and forth between theory and data. Values of credibility, authority and validity of research data were unfolded through a practice-oriented perspective to library and information studies by utilising the theoretical lens of boundary objects.

Findings

Notions of credibility, authority and validity emerge through participant activities of transforming species observations to data, supplementing reports with objects of trust, augmenting identification through authority outreach and assessing credibility via peer monitoring. Credibility, authority and validity of research data are shown to be co-constructed in a distributed fashion by the participants and the information system.

Originality/value

The article extends knowledge about information practices in emerging, heterogeneous scholarly settings by focussing on the complex co-construction of credibility, authority and validity in relation to data production.

Purpose

The purpose of this paper is to examine whether and how a methodological coupling of visualisations of trace data and interview methods can be utilised for information practices studies.

Design/methodology/approach

Trace data visualisation enquiry is suggested as the coupling of visualising exported data from an information system and using these visualisations as basis for interview guides and elicitation in information practices research. The methodology is illustrated and applied through a small-scale empirical study of a citizen science project.

Findings

The study found that trace data visualisation enquiry enabled fine-grained investigations of temporal aspects of information practices and to compare and explore temporal and geographical aspects of practices. Moreover, the methodology made possible inquiries for understanding information practices through trace data that were discussed through elicitation with participants. The study also found that it can aid a researcher of gaining a simultaneous overarching and close picture of information practices, which can lead to theoretical and methodological implications for information practices research.

Originality/value

Trace data visualisation enquiry extends current methods for investigating information practices as it enables focus to be placed on the traces of practices as recorded through interactions with information systems and study participants' accounts of activities.

Introduction. The purpose of this paper is to outline an approach for understanding how information practices in biodiversity citizen science are enabled and constrained through participants’ interactions with material objects such as cameras, artificial intelligence-supported smartphone applications and information systems.

Theory. The approach draws on the theory of objectual practice; how knowledge is constructed iteratively through interaction with epistemic objects. Epistemic objects are understood as objects sustained by projections of knowledge, open for interpretation and question-generation, rather than clearly defined things.

Empirical context. The approach is empirically contextualised through a study of biodiversity citizen science activities in relation to a bioblitz, a short-term, intensive period of species observations in a given geographical setting. Three empirical units of analysis are to be studied: binoculars, cameras, and loupes for observing species; field guides, identification keys and smartphone applications for identifying species; and standardising, large-scale information systems for reporting identified observations.

Concluding discussion The approach opens up for studying how material objects enable and constrain biodiversity citizen science information practices. The objectual practice approach in relation to a multifaceted empirical setting such as biodiversity citizen science extends sociomaterial aspects to citizen science studies by enabling practice-oriented observation and trace investigations of large-scale phenomena.

Citizen science is an approach that is used increasingly to produce data on flora and fauna. Such data can provide an understanding of the trends for preventing and addressing climate and environmental issues as well as acting as a base for civil servants’ decision-making in natural investigation cases. In this setting, the present thesis aims to unfold information practices in biodiversity citizen science in Sweden, involving volunteer participants who focus on the sustainability of biological variety, and to explicate the role and meaning of information practices for the activities in which the participants engage. This compilation thesis comprises one methodological and three empirical articles. 

Through a practice theory approach emphasising sociomaterial, relational and situated focal points, the study, which altogether comprises three substudies, draws on a theoretical framework encompassing established concepts from practice theory and science and technology studies concerning variations of practices, boundary objects, epistemic objects and inscriptions. The project presents a methodological combination of trace ethnography and traditional qualitative methods such as interviews and observations for investigating information practices in relation to information systems. The study’s methodology is illustrated by two of the thesis’ three substudies to enable investigations of time and spatiality, where metadata are explored as traces of practices. 

The study has as its focus the variations of information practices enacted by participants engaged in biodiversity citizen science. Depicted is a nexus of practices including observing, identifying, reporting, collecting and curating species as well as validating and making decisions based on species reports. The variations of practices imply that mundane species data production is enacted through material objects, that competition among participants has impacts on data comprehensiveness and that variations in the apprehension of validated species reports can lead to issues for the assessment of data validity. The study also emphasises notions concerning credibility, authority and validity among participants. It is demonstrated that credibility is assessed through peer monitoring as well as by participants assigned to validator roles. It is also shown that validity is a desirable value which can be achieved through transforming observations of species to data in relation to notions of what comprises credible reports. Moreover, the study shows that report enhancement can be accomplished by supplementing reports with objects of trust such as photographs and additional metadata. Credibility, authority and validity is concluded to be constructed in a distributed fashion by participants and a rich assortment of sociomaterial practices and tools. 

By coupling trace ethnography and traditional qualitative research methods, the study also delves into how participants in a botanical citizen science field excursion enact information practices in relation to the material qualities of tools. Ongoing negotiations occur during participants’ fieldwork, which is carried out in relation to tools such as loupes and applications as well as taxonomic features in information systems for reporting species observations. Results here indicate that the knowledge formed during fieldwork is both constrained and appended when translated to species data through information systems such as Artportalen. The information practices are understood as requiring negotiations among participants as the material tools are being used. Through messy and entwined practices, streamlined and tidy species data are eventually formed. 

In the concluding discussion, responding to the aim of the thesis, it is shown that the interrelated but varying, messy, materially constrained and negotiation-infused features of the study participants’ information practices play a key role in the shaping of voluntary monitoring and documentation of species in Sweden. While biodiversity citizen science data comprise neatly structured representations of conducted species observations, exportable for analysis and decision-making, participants’ enactments of information practices are not straightforward or direct but should rather be seen as taking winding paths from fieldwork to species reports. Accentuating the information practices enacted, the competitive tendency among participants to report rare sightings and the participants’ joint formation of trustworthiness and authority, this thesis nuances current understandings of volunteer efforts for biodiversity monitoring. As such, the mentioned disorderliness of the information practices can create bias issues in the shape of participant inclinations to report unusual, or previously unseen, species. At the same time, supplying a large number of valid reports is an important aspect for the participants. Similarly, the tools used for reporting are occasionally skewed towards certain species groups and are not always appropriately configured for recording the plethora of fieldwork activities currently in use. Based on these findings, it is proposed that consideration should be given to the ways in which the current variations of information practices are enacted, entwined and conformed. This, in turn, can lead to strategies that pave the way for a richer understanding of report validation, help mitigate possible data biases, and support the development of feature-rich, easy-to-use tools for reporting in the field.

Over the past decade there have been significant improvements in the organizational infrastructures supporting information sharing, retrieval, storage, and use. At present, users with access to online applications can post, read, evaluate, vote for, and elaborate on information sources of all shapes and stripes. In citizen science, this is manifested in projects focusing on volunteer classification of readily available data. While such projects adopt standardized methods for data classification, virtual discussion boards provide possibilities for peers to confer about method uncertainties. In such environments, it is important to explore how emerging organizational forms and sociomaterial dynamics shape a range of knowledge production opportunities. Some might be facilitated by experts providing tutorials which resemble classroom teaching while others emerge out of collective work on discussion boards or agent-centered explorations where participants build hyperlinked resource libraries. Through practices of hyperlinking, digital sources of internal and external information can be drawn into the discussion boards to facilitate debates and conversations, mitigating classification uncertainties. Problematizing standardized methods in relation to peer knowledge from discussion boards, we compare volunteers’ knowledge production practices in a citizen science project on Zooniverse.org. Taking our point of departure in practice theory (Gherardi 2019; Østerlund, Crowston, Jackson 2020), we combine insights from studies of collaborative knowledge production with a sociomaterial informed theory of learning articulated by the STS scholar Sørensen (2009). This is done to unfold how hyperlinking practices expand standardized data classification methods and performatively shape knowledge production in a citizen science project.

Renewable energy sources have emerged as a current subject matter in Sweden amidst discussions regarding energy costs, climate change and development of energy production. This study explores how Google Search is used for seeking information about wind power and how utilised search queries contribute to the understanding of this energy source. Adopting a practice theoretical perspective, the study explores search queries as doings and sayings, and understands search engines as an established part of everyday routinised information seeking-activities. Data collection was carried out in a trace ethnographic vein through the automatic retrieval of search queries enacted between November 2021 and October 2022. Through a digital methods approach, the search queries were analysed and visualised according to their prevalence and character string composition. A qualitative, multiple coding approach was moreover used for the identification and interpretation of themes and subthemes. The results show that geographical locations, wind power functions and small wind turbines comprise the most prominent subthemes of the search queries. This is replicated also in the search term frequencies, providing further insights to queries related to wind turbine’s efficiency as well as subthemes of advantages and disadvantages. Moreover, the study shows the tendency to phrase search queries as simple questions for complex matters, with nuances being lost in the pursuit of austere, uncomplicated answers. Altogether, the results contribute to a wider understanding of how environmental information seeking is conducted today.

In this study, we demonstrate how to collect Twitter conversations emanating from or referring to scientific papers. We propose segmenting the conversational threads into smaller segments and then compare them using information retrieval techniques, in order to find differences and similarities between discussions and within discussions. While the method still can be improved, the study shows that it is possible to collect larger conversations about research on Twitter, and that these are suitable for various automated methods. We do however identify a need to analyse these with qualitative methods as well.

Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research. Our analysis of a selection of questionable GPT-fabricated scientific papers found in Google Scholar shows that many are about applied, often controversial topics susceptible to disinformation: the environment, health, and computing. The resulting enhanced potential for malicious manipulation of society’s evidence base, particularly in politically divisive domains, is a growing concern.