Effects of Stigmergic and Explicit Coordination on Wikipedia Article Quality

Crowston, Kevin; Rezgui, Amira

doi:10.24251/hicss.2020.287

Cited by 6 publications

(21 citation statements)

References 23 publications

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“…ITC theory suggests that the premise of group collaboration lies in the mutual understanding of heterogeneous knowledge in the process of group interaction (Lv and Zhang, 2013;Cooke et al, 2013). Specific to the Wikipedia context of online group interaction processes, Crowston and Rezgui (2020) summarized three types of coordination mechanisms: explicit, implicit and stigmergic. The important forum for explicit coordination is article "talk" pages, such as coded discussions, topic discussions and other communications.…”

Section: Theoretical Background and Research Frameworkmentioning

confidence: 99%

“…In online self-organized groups, such as a Wikipedia distributed article, editors often lack face-to-face meetings at which to develop shared understandings. As a result, distributed work is characterized by numerous discontinuities (Crowston and Rezgui, 2020) that may limit group members to develop the shared understandings necessary for implicit coordination.…”

Section: Theoretical Background and Research Frameworkmentioning

confidence: 99%

“…More recent research has identified a third possible mechanism: stigmergic coordination. That is, the information needed to coordinate work can be communicated through the outcome of the work itself (Crowston and Rezgui, 2020). Heylighen (2016) defines stigmergy thus, "A process is stigmergic if the work .…”

Section: Theoretical Background and Research Frameworkmentioning

confidence: 99%

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Cognition or interaction? Mediating factors influencing online group open collaboration

Zuo

Qiu

Wang

2023

INTR

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PurposeOnline collaboration in today's world is a topic of genuine interest to Internet researchers. The purpose of this paper is to explore the role of group knowledge heterogeneity (GKH) in open collaboration performance using the mediating mechanisms of group cognition (GC) and interaction to understand the determinants of the success of online open collaboration platforms.Design/methodology/approachStudy findings are based on partial least squares structural equation modeling (PLS-SEM), the formal mediation test and moderating effect analysis from Wikipedia's 160 online open collaborative groups.FindingsFor online knowledge heterogeneous groups, open collaboration performance is mediated by both GC and collaborative interaction (COL). The mediating role of GC is weak, while the mediating role of COL is strengthened when knowledge complexity (KC) is higher. By dividing group interaction into COL and communicative interaction (COM), the authors also observed that COL is effective for online open collaboration, whereas COM is limited.Originality/valueThese findings suggest that for more heterogeneous large groups, group interaction would explain more variance in performance than GC, offering an in-depth understanding of the relationship between group heterogeneity and open collaboration performance, answering what determines the success of online open collaboration platforms as well as explaining the inconsistency in prior findings. In addition, this study expands the application of Interactive Team Cognition (ITC) theory to the online open collaboration context.

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Section: Theoretical Background and Research Frameworkmentioning

confidence: 99%

Section: Theoretical Background and Research Frameworkmentioning

confidence: 99%

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Cognition or interaction? Mediating factors influencing online group open collaboration

Zuo

Qiu

Wang

2023

INTR

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“…P is sequential in the sense that the concurrent execution of the agents in S is reproduced by means of a nondeterministic, but non-concurrent scheduler, similarly to the way sequentialization is used to verify a piece of concurrent software by reducing it to an equivalent sequential program [37]. The SLiVER tool 5 aims at verifying LAbS systems by generating emulation programs in several languages, including LNT [11]. In fact, we will rely on a slightly modified version of SLiVER as part of our workflow.…”

Section: Labs and Slivermentioning

confidence: 99%

“…Stigmergic systems feature agents that can coordinate and reach common goals just by leaving and interpreting these traces, even though no direct communication ever happens between them. While stigmergies were originally introduced to model the construction of termite nests [19], they have found widespread adoption as a conceptual tool to describe several collective systems, from colonies of foraging ants [33] to the Wikipedia collaborative encyclopedia [5]. Thus, they may be useful to scholars across many different disciplines which aim at understanding self-organization and spontaneous coordination [22].…”

Section: Introductionmentioning

confidence: 99%

Verifying Temporal Properties of Stigmergic Collective Systems Using CADP

Stefano

Lang

2021

Lecture Notes in Computer Science

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We introduce an automated workflow to verify a variety of temporal properties on systems of agents that interact through virtual stigmergies. By mechanically reducing the property and the system under verification to an MCL query and a sequential LNT program (both MCL and LNT being languages available in the CADP formal verification toolbox), we may reuse efficient modelchecking procedures that can give us a verdict on whether the property is satisfied by the system. Among other things, this procedure allows us to verify that a system satisfies a given predicate infinitely often during its execution, which is an improvement over previous verification approaches. We demonstrate the capabilities of this workflow by verifying a selection of example systems. Additionally, we present preliminary results showing that this workflow may also generate parallel LNT programs and exploit compositional verification techniques, which is likely to improve the analysis performance.

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Knowledge order in an online knowledge community: Group heterogeneity and two paths mediated by group interaction

Qiu

Zuo

Wang

et al. 2021

Asso for Info Science & Tech

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Knowledge order in an online knowledge community (OKC) refers to a consensual version of collective knowledge in the creation of shared knowledge representation. Much previous research has been conducted in the context of the ordered structure of objective knowledge systems, but this does little to explain the microlevel order of knowledge after users contribute knowledge and achieve consensus through online interactions in OKC. Based on interactive team cognition theory and the stigmergy coordination mechanism, our research aims to investigate how knowledge and experience heterogeneity affect knowledge order effectiveness and efficiency through collaborative and communicative interaction. To test our hypotheses, we randomly collected the records of 250 articles from the English version of Wikipedia. Partial least squares structural equation modeling indicated that OKC favoring online collective knowledge order by limiting communicative interaction, as collaborative interaction is very effective in achieving knowledge order and in achieving it in a fast way. From our findings, scholars and practitioners are advised to pay attention to online knowledge order in the management and design of OKC.

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Effects of Stigmergic and Explicit Coordination on Wikipedia Article Quality

Cited by 6 publications

References 23 publications

Cognition or interaction? Mediating factors influencing online group open collaboration

Cognition or interaction? Mediating factors influencing online group open collaboration

Verifying Temporal Properties of Stigmergic Collective Systems Using CADP

Knowledge order in an online knowledge community: Group heterogeneity and two paths mediated by group interaction

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