Two modes of participation: A conceptual analysis of 102 cases of Internet and social media participation from 2005–2015

Kelty, Christopher; Erickson, Seth

doi:10.1080/01972243.2017.1414092

Cited by 5 publications

(3 citation statements)

References 67 publications

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“…In reality, however, the crowd-sourced maps utilised in Haze Gazer and CycloMon are, of course, produced by interested individuals. Motivations for participating in crowd-sourced datagathering or data-generation activities probably range very widely, but may include: the prospect of gaining personal autonomy and/or identity from the making of that contribution; belief in the utility of the service; and/or a sense of altruism (Gerber, Hui, and Kuo 2012;Jian and Shin 2015;Kelty and Erickson 2018). These motivations echo some of those underpinning humanitarianism more broadlyagain, the giver is to be emboldened through the act of giving.…”

Section: Nonethelessmentioning

confidence: 99%

Data jurisdictions and rival regimes of algorithmic regulation

Johns

Compton

2019

Regulation & Governance

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This article aims to characterize and compare some approaches to regulation manifest in distinct yet intersecting domains of data assemblage and algorithmic development, and to explore some implications of their operating in concert. We focus on three such types of domain, each oriented towards different purposes: market jurisdictions; public science jurisdictions; and jurisdictions of humanitarianism. These domains we characterize as data jurisdictions because they tend to propagate distinct normative claims and concerns, and authorize particular types of speech and action, through algorithmic operations and data formatting. In this paper, we focus on the intersection of these archetypal data jurisdictions in two, related initiatives of the United Nations (UN): Haze Gazer and This article is protected by copyright. All rights reserved. This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Section: Nonethelessmentioning

confidence: 99%

Data jurisdictions and rival regimes of algorithmic regulation

Johns

Compton

2019

Regulation & Governance

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“…IM is an application of e-WOM. Individuals are motivated to use IM to spread information about a crime, causing excitement in a community to which the victim of the crime belongs (Kelty and Erickson, 2018; Chatterjee, 2019b). Once the community is angered, it can become a mob that lynches a person who belongs to the offender's community.…”

Section: Introductionmentioning

confidence: 99%

Dark side of instant messaging: an empirical investigation from technology and society perspective

Chatterjee

Chaudhuri

Vrontis

2021

AJIM

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PurposeThe purpose of this study is to examine the dark side of instant messaging from the technological and societal perspectives.Design/methodology/approachWith the help of literature review and different theories, a model has been developed conceptually. Later the model has been validated using statistical method. The authors have used 304 responses from the survey method, and this sample has been used to statistically validate the conceptual model.FindingsThis paper has been able to explicitly investigate and identify how different instant messaging platforms such as WhatsApp, WeChat in the form of electronic word of mouth (e-WOM) are contributing toward increase of mob lynching cases. The paper also highlights the important to have effective and enforceable regulation to regulate instant messaging services to the citizens.Research limitations/implicationsThe findings cannot be generalized as the data is collected from India only. Moreover, the study is cross-sectional in nature. To get the comprehensive results, a longitudinal study needs to be conducted. This study considered seven constructs with one moderator. Having more predictors with other boundary conditions might have increased the explanative power of the model.Practical implicationsInstant messaging platforms such as WhatsApp, WeChat and so on are disseminating quick unverified information to the common people. This information sometimes is disseminated in inappropriate and exaggerated forms. This makes the instant messaging (WhatsApp) users' sentiment readily heated in some cases. They take such an action as mob lynching. This study determines the predictors of mob lynching along with the moderator impact of instant messaging in the society.Originality/valueThere are only a few studies those have explored the dark side of instant messaging. The proposed theoretical model is a unique model, which shows the predictors of mob lynching along with the negative consequences of the instant messaging (WhatsApp) in the society. From this perspective, this study can be considered as a unique study.

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“…For instance, the English Wikipedia community has chosen to make major decisions through a deliberative process where all users can provide input [5,29]; the node.js project follows a consensus-seeking decision model [18]; and Slashdot practices meta-moderation where the moderators themselves get reviewed [45]. Each of these processes embodies the particular flavor of the participatory values of its community [34].…”

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confidence: 99%

PolicyKit: Building Governance in Online Communities

Zhang

Hugh

Bernstein

2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

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The software behind online community platforms encodes a governance model that represents a strikingly narrow set of governance possibilities focused on moderators and administrators. When online communities desire other forms of government, such as ones that take many members' opinions into account or that distribute power in non-trivial ways, communities must resort to laborious manual effort. In this paper, we present PolicyKit, a software infrastructure that empowers online community members to concisely author a wide range of governance procedures and automatically carry out those procedures on their home platforms. We draw on political science theory to encode community governance into policies, or short imperative functions that specify a procedure for determining whether a user-initiated action can execute. Actions that can be governed by policies encompass everyday activities such as posting or moderating a message, but actions can also encompass changes to the policies themselves, enabling the evolution of governance over time. We demonstrate the expressivity of PolicyKit through implementations of governance models such as a random jury deliberation, a multi-stage caucus, a reputation system, and a promotion procedure inspired by Wikipedia's Request for Adminship (RfA) process. CCS Concepts •Human-centered computing → Collaborative and social computing systems and tools;

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Two modes of participation: A conceptual analysis of 102 cases of Internet and social media participation from 2005–2015

Cited by 5 publications

References 67 publications

Data jurisdictions and rival regimes of algorithmic regulation

Data jurisdictions and rival regimes of algorithmic regulation

Dark side of instant messaging: an empirical investigation from technology and society perspective

PolicyKit: Building Governance in Online Communities

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