DOI: https://doi.org/10.47989/ir292832
Introduction. People face often situations when the available information is fragmentary and epistemically and ontologically different stemming from multiple incongruous systems of knowledge. While this is obvious on the basis of the vast corpus of information behaviour research to date, relatively little attention has been conducted so far to explicate the mechanisms of how people routinely manage to use such unsatisfactory sources in their pursuits.
Method. The conceptual paper describes two theoretical concepts identified in the literature.
Results. The paper discusses the applicability of the notions of representational exchange and edgework to explain the mechanisms of how people parse together heterogeneous and fragmentary information together in a meaningful whole.
Conclusion. The theory of representational exchange explains how people are capable of translating epistemically and ontologically incongruous types of information to work in concert. Edgework describes a type of information work necessary to parse together different forms of previous knowledge and new information with the help of (meta) information and knowledge on the two and their processes of becoming.
One of the cornerstones of information behaviour literature are studies of individuals and groups and their informational preferences. A typical question has been to ask interviewees or survey respondents, or to observe which types of information sources people use and find relevant for particular tasks and practices (Xie and Joo, 2009). Studies of information types or genres have been somewhat less common, and especially inquiries into how particular types of information inform their users (e.g., Foscarini, 2015; McKenzie, 2015). The complexity of information practices and the diversity of information sources used both suggest that the equation is not simple. A context where this has become strikingly apparent, is process and practice information and more specifically paradata, i.e. data or information on data making, processing and use (Huvila, 2022a). Such information is communicated in a wide variety of forms, levels of detail, formality, and explicitness (e.g., Davet et al., 2023; Huvila et al., 2021; Kunz, 2020). While the diversity can be explained by the diversity of tasks, practices, competences or literacies, personalities, contexts and situations, such accounts do little to clarify how particular informative things or types of information function in the different situations.
The aim of this paper is to discuss the notions of representational exchange and edgework to explain the mechanisms of how people parse together heterogeneous and fragmentary information together in a meaningful whole. Representational exchange refers to human capacity to translate between reasoning, habits, instincts and norms as forms of information i.e. for example reason on the basis of norms and instincts but also to use instincts and habits as norms or instincts as a basis for reasoning (Cushman, 2020b). Edgework, introduced as a new framing for the role of curiosity in human information-seeking, describes how knowing requires crafting ‘an understanding of the relations between bits of information’ (Zurn et al., 2022, p. 260) rather than mere acquisition of new information. The notions are borrowed from recent cognitive science research in human information seeking. Rather than providing a comprehensive analysis that demonstrates empirically the applicability of the concepts, this short paper lays conceptual groundwork for future research by drawing examples from the literature to interrogate to what extent they could explain observed variety of process and practice information and its use.
Studies of process and practice information, recently investigated especially in the context of data documentation and paradata, draw attention to the diversity of information people exploit to make sense of different types of doings (e.g., Börjesson et al., 2022; Huvila et al., 2022). Diversity of information genres, media types, sources or objects is obviously not specific to process and practice information but is documented across information behaviour research that often lays an exposé of a wide variety of information sources (Zhong and Han, 2024) and complex information practices in comparably complex information ecosystems independent of context and situation (Polkinghorne and Given, 2021). Probably underpinned by the tendency of information behaviour research to focus on user measures, including relevance and sometimes usefulness, as standards of whether a particular piece of information can be applied in a given situation, somewhat less attention has been directed to considering how and why particular pieces of information de facto make sense to their users. There are exceptions like genre research that has engaged in extensive inquiries of information types and their links to social information practices (e.g., Foscarini, 2015; McKenzie, 2015).
Besides general complexity and diversity of process and practice information, recent paradata research has pointed to how the available information on data making, processing and use varies a lot but that the variety, fragmentation and inconsistencies do not necessarily impede knowledge-making, at least entirely (Börjesson et al., 2022). That competent, information literate people might be able to operate with partial and suboptimal information is to state the obvious but what appears to have received less attention are the mechanisms of dealing with less than adequate information sources. The question is what people does and how to conceptualise their actions in what can be described as moving between registers of different types of information and parsing the fragments of available information and previous knowledge to a practicable whole.
The theory of representational exchange was proposed by Cushman to explain how human-beings improve reasoning by translating information from ‘one psychological system and format of representation to another’ (Cushman, 2020b, p. 9). It supports flexible deploying of diverse types of information and capacities to support one another (Vélez et al., 2022). Rationalisation i.e. extracting information from non-rational systems, for example, instincts, habits and norms is a common form of representational exchange but as Cushman notes, there are also others including habitisation, offline planning, thought experiments and imaginative learning. They all build on information drawn from one system applied to another. Habitisation distills information available in policies or values to habits. Offline planning does the same based on rational training whereas thought experiments and imaginative learning are based on using intuition as a basis of rational knowledge (Cushman, 2020b). A more comprehensive discussion of the theory was published in Behavioral and Brain Sciences, Volume 43 in 2020 (Cushman, 2020b) together with a long list of commentaries of the original article. While Cushman’s focus was on information, learning and decision-making, his critics point out that representational exchange has also a social dimension. It does not always contribute to better decisions, sometimes the opposite (Graham, 2020), and its function can be rather to facilitate information sharing or cooperation (Levy, 2020), or general sense-making and seeking of meaning in life (Cushman, 2020a). For understanding information practices, representational exchange provides a concept to explain how epistemically, ontologically and physically widely different forms of information can be useful in diverse human pursuits, and in spite of their fundamental differences and incompatibilities, how they can be used in concert to inform.
The theory of edgework of Zurn and colleagues (2022) that should not be confused with other concepts with the same name (e.g., Lyng, 2008) discusses how curiosity should not be framed as motivation to find information but rather as connectivity. ‘As such, curiosity might collect information, track down answers, or imagine new possibilities, but it does so by building scaffolds or weaving webs. It builds connections, finds links, and follows threads’ (Zurn et al., 2022, p. 261). In the curiosity literature, Zurn and colleagues identified two styles of edgework, termed busybody and hunter, associated with particular forms of curiosity (Zurn, 2019; Zurn et al., 2022). Busybody is according to Zurn something an information scholar would describe as an active directed information seeker whereas hunter is a browsing forager and encounterer of information (Makri and Buckley, 2020; O’Connor et al., 2003). In a broader sense, edgework is about following and weaving threads, finding and establishing links and building connections. It is likely to have a variety of forms beyond those proposed by Zurn. In the context of information practices, edgework takes a stance to information seeking and use that is not geared towards the primacy of finding new information but rather to weaving together and threading what is already known together with information that is sought and encountered. It is a form of information work required to getting informed (Dalmer and Huvila, 2020). Pursuits framable as edgework can be traced in the information and records continuum (Upward, 2000) when, information, records and documents are pluralised to be used across contexts. It can also be seen as a part of what Huvila (2022b) terms as taking information i.e. how information does not exist useful as such but it has to be explicitly taken to function as information for its users in the context where it is aimed to be used. In tackling with the plurality of process and practice information, the work required to parse together and make the various forms of available information, including diverse traces and ingredients, available to function as information in a given situation. A part of edgework is to build connections between and within what is already known about particular processes or practices and what information is available but also make connections between what is known about the different forms of available information in relation to how they can inform about practices and processes, and how that information came into being.
The theory of representational exchange helps to explain why and how very different types of information can be informative to people and how they can be used in concert in spite of their incongruities. Representational exchange facilitates using information on processes and practices, including paradata, but is not specific to that particular context. At the same time, it accounts for the diversity of how the different forms of information function in situations when an individual or group is trying to make sense of a process or practice. Epistemically diverse information can be used to premise decisions and knowledge even if it does not mean that the information itself would be equivalent to each other. The theory has apparent potential to contribute to the discussion on holism of information behaviour research (Polkinghorne and Given, 2021) and how the traditional rational and objectivist system of information sources, seeking and retrieval intersect with such parallel modes of engaging with information as emotions (Nahl and Bilal, 2007), embodiment (Olsson and Hansson, 2019), sociomaterial theorising (e.g., Boell and Cecez-Kecmanovic, 2011; Huvila, 2022b), and higher things (Kari and Hartel, 2007; Latham et al., 2020).
The work that needs to be undertaken to make representational exchange work could be seen as a form of edgework. The precise forms of edgework depend on the available information, the effort and moves required by the representational exchange to take place. Edgework extends to cover weaving together previous knowledge, including habits, norms and instincts, and diverse forms of new information with the help of (meta) knowledge and information on information and what is already known. It is conceivable that some exchanges can be more burdensome and difficult to achieve depending on the information, situation, social and material context and individuals. Using norms to underpin reasoning might be easier in formal situations, for example, in scholarly research or professional work, than using instincts whereas in everyday life situations much of reasoning is instinctive and habitual (e.g., Loudon et al., 2016; Narayan et al., 2011; Savolainen, 2009 ). The exact practices of edgework are also likely to vary between contexts and situations.
Identifying representational exchange and edgework in the wild is undoubtedly possible using proven qualitative and quantitative research methods. However, as the both notions direct attention to intersections and border-crossings between different types of information and (information) practices, identifying both representational exchange and edgework requires following, as Bates suggested the red thread of information (Bates, 1999, p. 1048) and abandoning rigid assumptions of what counts as information and what constitutes an information practice in a specific situation. This applies both to researchers and other study participants. To this end, it might be helpful to avoid using the word information at the outset and ask speculatively what might be information for those in the specific situation under scrutiny.
The major practical implication of this is to direct attention to that it matters what information is preserved and available and how easily it can be exploited in different situations. Rather than consider what information is made available and preserved, it is crucial to consider its compatibility with other information to facilitate representational exchange and reduce unnecessary edgework whenever appropriate. At the same time, the effort needed for edgework might not be only detrimental as qualified, conscious edgework might also imply greater reflexivity in information use than taking the available information as granted. In this sense, nudging people to engage in conscious edgework and reflecting upon their representational exchanges—how different registers of information are used to underpin knowledge, habits and norms—could contribute to opposing misinformation and improving critical information literacy.
This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant agreement No 818210 as a part of the project CApturing Paradata for documenTing data creation and Use for the REsearch of the future (CAPTURE).
Isto Huvila is professor of information studies at the Department of ALM (Archival Studies, Library and Information Science and Museums and Cultural Heritage Studies) at Uppsala University in Sweden and is Adjunct Professor (docent) in Information Management at Information Studies, Åbo Akademi University in Turku, Finland. His primary areas of research include information and knowledge management, information work, knowledge organisation, documentation, and social and participatory information practices. He can be contacted at isto.huvila@abm.uu.se.
Bates, M. J. (1999). The invisible substrate of information science. Journal of the American Society for Information Science, 50(12), 1043–1050.
Boell, S., & Cecez-Kecmanovic, D. (2011). Theorizing information - from signs to sociomaterial practices. ACIS 2011 Proceedings, Paper 53.
Börjesson, L., Sköld, O., Friberg, Z., Löwenborg, D., Pálsson, G., & Huvila, I. (2022). Re-purposing excavation database content as paradata: An explorative analysis of paradata identification challenges and opportunities. KULA: Knowledge Creation, Dissemination, and Preservation Studies, 6(3), 1–18. https://doi.org/10.18357/kula.221
Cushman, F. (2020a). Rationalization is rational. Behavioral and Brain Sciences, 43, e28. https://doi.org/10.1017/S0140525X19001730
Cushman, F. (2020b). Rationalization as representational exchange: Scope and mechanism. Behavioral and Brain Sciences, 43, e55. https://doi.org/10.1017/S0140525X19003261
Dalmer, N. K., & Huvila, I. (2020). Conceptualizing information work for health contexts in library and information science. Journal of Documentation, 76(1), 96–108. https://doi.org/10.1108/JD-03-2019-0055
Davet, J., Hamidzadeh, B., & Franks, P. (2023). Archivist in the machine: Paradata for AI-based automation in the archives. Archival Science, 23(2), 275–295. https://doi.org/10.1007/s10502-023-09408-8
Foscarini, F. (2015). Organizational records as genres: An analysis of the “Documentary Reality” of organizations from the perspectives of diplomatics, records management, and rhetorical genre studies. In J. Andersen (Ed.), Genre theory in information studies (pp. 115–132). Emerald.
Graham, J. (2020). Ideology, shared moral narratives, and the dark side of collective rationalization. Behavioral and Brain Sciences, 43, e37. https://doi.org/10.1017/S0140525X19002267
Huvila, I. (2022a). Improving the usefulness of research data with better paradata. Open Information Science, 6(1), 28–48. https://doi.org/10.1515/opis-2022-0129
Huvila, I. (2022b). Making and taking information. Journal of the Association for Information Science and Technology, 73(4), 528–541. https://doi.org/10.1002/asi.24599
Huvila, I., Börjesson, L., & Sköld, O. (2022). Archaeological information-making activities according to field reports. Library & Information Science Research, 44(3), 101171. https://doi.org/10.1016/j.lisr.2022.101171
Huvila, I., Sköld, O., & Börjesson, L. (2021). Documenting information making in archaeological field reports. Journal of Documentation, 77(5), 1107–1127. https://doi.org/10.1108/JD-11-2020-0188
Kari, J., & Hartel, J. (2007). Information and higher things in life: Addressing the pleasurable and the profound in information science. Journal of the American Society for Information Science and Technology, 58(8), 1131–1147. https://doi.org/10.1002/asi.20585
Kunz, T. (2020). Paradata in survey research. In P. Atkinson, S. Delamont, A. Cernet, J. Sakshaug & R. Williams (Eds.), Sage research methods: Mixed methods. SAGE Publications Ltd.
Latham, K. F., Hartel, J., & Gorichanaz, T. (2020). Information and contemplation: A call for reflection and action. Journal of Documentation, 76(5), 999–1017. https://doi.org/10.1108/JD-05-2019-0076
Levy, N. (2020). Rationalization enables cooperation and cultural evolution. Behavioral and Brain Sciences, 43, e40. https://doi.org/10.1017/S0140525X19002061
Loudon, K., Buchanan, S., & Ruthven, I. (2016). The everyday life information seeking behaviours of first-time mothers. Journal of Documentation, 72(1), 24–46. https://doi.org/10.1108/JD-06-2014-0080
Lyng, S. (2008). Edgework, risk, and uncertainty. In J. O. Zinn (Ed.), Social theories of risk and uncertainty (pp. 106–137). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781444301489.ch5
Makri, S., & Buckley, L. (2020). Down the rabbit hole: Investigating disruption of the information encountering process. Journal of the Association for Information Science and Technology, 71(2), 127–142. https://doi.org/10.1002/asi.24233
McKenzie, P. J. (2015). Genre and typified activities in informing and personal information management. In J. Andersen (Ed.), Genre theory in information studies (pp. 67–90). Emerald.
Nahl, D., & Bilal, D. (Eds.). (2007). Information and emotion: The emergent affective paradigm in information behavior research and theory. Information Today.
Narayan, B., Case, D. O., & Edwards, S. L. (2011). The role of information avoidance in everyday-life information behaviors. Proceedings of the American Society for Information Science and Technology, 48(1), 1–9. https://doi.org/10.1002/meet.2011.14504801085
O’Connor, B., Copeland, H., & Kearns, J. L. (2003). Hunting and gathering on the information savanna. Scarecrow Press.
Olsson, M., & Hansson, J. (2019). Embodiment, information practices and documentation: A study of mid-life martial artists. Information Research, 24(2), paper colis1928.
Polkinghorne, S., & Given, L. M. (2021). Holistic information research: From rhetoric to paradigm. Journal of the Association for Information Science and Technology, 72(10), 1261–1271. https://doi.org/10.1002/asi.24450
Savolainen, R. (2009). Everyday life information seeking. In Encyclopedia of library and information sciences (3rd ed.). CRC Press.
Upward, F. (2000). Modelling the continuum as paradigm shift in recordkeeping and archiving processes, and beyond–a personal reflection. Records Management Journal, 10(3), 115–139.
Vélez, N., Wu, C. M., & Cushman, F. A. (2022). Representational exchange in social learning: blurring the lines between the ritual and instrumental. Behavioral and Brain Sciences, 45, e271. https://doi.org/10.1017/S0140525X22001339
Xie, I., & Joo, S. (2009). Selection of information sources: Accessibility of and familiarity with sources, and types of tasks. Proceedings of the American Society for Information Science and Technology, 46(1), 1–18. https://doi.org/10.1002/meet.2009.1450460215
Zhong, H., & Han, Z. (2024). A systematic review of information source preference research. Journal of Documentation. https://doi.org/10.1108/JD-03-2023-0059
Zurn, P. (2019). Busybody, hunter, dancer: Three historical models of curiosity. In M. Papastefanou (Ed.), Toward new philosophical explorations of the eesire to know: Just curious about curiosity (pp. 26–49). Cambridge Scholars Publishing.
Zurn, P., Dale Zhou, Lydon-Staley, D. M., & Bassett, D. S. (2022, May). Edgework: Viewing curiosity as fundamentally relational. In I. Cogliati Dezza, E. Schulz & C. M. Wu (Eds.), The drive for knowledge: The science of human information seeking (pp. 259–278). Cambridge University Press. https://doi.org/10.1017/9781009026949