“Emotional strip-mining”: Sympathy sockpuppets in online communities

2021 ◽  
pp. 146144482110405
Author(s):  
Devon Greyson ◽  
Kaitlin L Costello

Sympathy sockpuppets are false online identities used for purposes of extracting care work from others. While online community infiltration for nefarious purposes is a well-documented phenomenon, people may also join online communities using deceptive personas (“sockpuppet” accounts) for non-nefarious reasons, such as to gain sympathy or cultivate a sense of belonging in a group. In comparison with scamming and trolling, this more subtle form of online deception is not well understood, and to date, its impacts on individuals and communities have not been fully articulated. This knowledge gap leaves communities without guidance when managing the impacts of this sympathy sockpuppet deception. We interviewed people who had been members of online communities that discovered sympathy sockpuppets in their midst to explore and characterize the phenomenon of sympathy sockpuppetry and to provide guidance for other individuals and communities that encounter similar forms of online deception.

2021 ◽  
Author(s):  
◽  
Sarah Morse

<p>Purpose: The purpose of this research paper is to find out if personality traits have any influence on the level and type of participation in online communities. Aim: The aim of this paper is to find out if the small number of active participants in online communities are dominated by a particular personality trait, and if personality traits influence how much and what type of participation an individual undertakes in online communities. Method: An online survey was used to gather both participation types and levels and to measure personality, using the Big Five Inventory, 44 item tool. Findings: Personality does have an influence on what type of participation individuals undertake in online communities. Individuals displaying high in extraversion traits are less likely to be active in online communities but when they do they identify with a sense of friendship. Individuals displaying high in neurotic traits are less likely to be active in online communities but when they do they are motivated by a sense of belonging. Individuals high in conscientiousness traits are more likely to be motivated to participate by sharing useful information. Individuals high in a combination of conscientiousness and agreeable traits were motivated to participate to share useful information. There was no evidence to suggest that those that do participate are dominated by a particular personality type. What was evident was that individuals high in certain personality traits are less likely to participate in certain content activity. This means that communities that engage in specific content type or activity may be skewed to particular personality types. More in- depth research would be required on one type of community in order to investigate this further.</p>


2018 ◽  
Vol 8 (2) ◽  
pp. 1-13
Author(s):  
Elena Graziani ◽  
Fausto Petrini

This article reviews empirical studies from 2008 to 2017 on the effects of participating in online communities. The review uses three databases: PubMed, Scopus and ScienceDirect. The criteria are: (1) online community aimed to provide support by and for people with a common problem; (2) the content of the sessions was determined by users; (3) members met via the Internet; (4) online community was available 24/7; (5) online community access was free and open to everyone with an Internet connection. Of the articles, 13 of 105 met the inclusion criteria. Seven studies reported positive changes: informational and emotional support, increased sense of belonging, less isolation, better medical understanding. Six articles also considered risks: the rise of the level of stress because of successes or failures of other users, the addiction to the forum and the consequent isolation from real relationships.


2022 ◽  
pp. 37-51
Author(s):  
Elena Graziani ◽  
Fausto Petrini

This article reviews empirical studies from 2008 to 2017 on the effects of participating in online communities. The review uses three databases: PubMed, Scopus and ScienceDirect. The criteria are: (1) online community aimed to provide support by and for people with a common problem; (2) the content of the sessions was determined by users; (3) members met via the Internet; (4) online community was available 24/7; (5) online community access was free and open to everyone with an Internet connection. Of the articles, 13 of 105 met the inclusion criteria. Seven studies reported positive changes: informational and emotional support, increased sense of belonging, less isolation, better medical understanding. Six articles also considered risks: the rise of the level of stress because of successes or failures of other users, the addiction to the forum and the consequent isolation from real relationships.


2021 ◽  
Author(s):  
◽  
Sarah Morse

<p>Purpose: The purpose of this research paper is to find out if personality traits have any influence on the level and type of participation in online communities. Aim: The aim of this paper is to find out if the small number of active participants in online communities are dominated by a particular personality trait, and if personality traits influence how much and what type of participation an individual undertakes in online communities. Method: An online survey was used to gather both participation types and levels and to measure personality, using the Big Five Inventory, 44 item tool. Findings: Personality does have an influence on what type of participation individuals undertake in online communities. Individuals displaying high in extraversion traits are less likely to be active in online communities but when they do they identify with a sense of friendship. Individuals displaying high in neurotic traits are less likely to be active in online communities but when they do they are motivated by a sense of belonging. Individuals high in conscientiousness traits are more likely to be motivated to participate by sharing useful information. Individuals high in a combination of conscientiousness and agreeable traits were motivated to participate to share useful information. There was no evidence to suggest that those that do participate are dominated by a particular personality type. What was evident was that individuals high in certain personality traits are less likely to participate in certain content activity. This means that communities that engage in specific content type or activity may be skewed to particular personality types. More in- depth research would be required on one type of community in order to investigate this further.</p>


Author(s):  
Jyh-Jeng Wu ◽  
Yueh-Mei Chen ◽  
Paul C. Talley ◽  
Kuang-Ming Kuo

Effectively improving the medication adherence of patients is crucial. Past studies focused on treatment-related factors, but little attention has been paid to factors concerning human beliefs such as trust or self-efficacy. The purpose of this study is to explore the following aspects of patients with chronic diseases: (1) The relationship between emotional support, informational support, self-efficacy, and trust; (2) the relationship between self-efficacy, trust, and medication adherence; and, (3) whether chronic patients’ participation in different types of online communities brings about significant statistical differences in the relationships between the abovementioned variables. A questionnaire survey was conducted in this study, with 452 valid questionnaires collected from chronic patients previously participating in online community activities. Partial Least Squares-Structural Equation Modeling analysis showed that emotional support and informational support positively predict self-efficacy and trust, respectively, and consequently, self-efficacy and trust positively predict medication adherence. In addition, three relationships including the influence of emotional support on trust, the influence of trust on medication adherence, and the influence of self-efficacy on medication adherence, the types of online communities result in significant statistical differences. Based on the findings, this research suggests healthcare professionals can enhance patients’ self-efficacy in self-care by providing necessary health information via face-to-face or online communities, and assuring patients of demonstrable support. As such, patients’ levels of trust in healthcare professionals can be established, which in turn improves their medication adherence.


Author(s):  
A.M. Ponomarev

The article presents the results of a validating study carried out within the framework of the research under the grant "Building predictive models of the dynamics of the development of mobilization-type Internet communities". The aim of the study is to test the empirical model of integration of the Internet community in terms of the validity of the content and the validity of the criteria. The subject of the study is the validity of the criteria and integration factors identified in this model. The research methods are a survey of internal experts and a comparative analysis of assessments of the criteria and factors of integration of the specified model by external and internal experts. The results obtained allow us to conclude that it is correct to identify the criteria and factors for integrating the Internet community at the first stages of the research project. Differences in the assessment by two types of experts of the significance of some criteria and factors of integration of Internet communities receive the fixation of two observation positions - external and internal - as two types of explanation, namely, an understanding and descriptive explanation, respectively. The conducted research not only allows to introduce new criteria and factors of integration into the empirical model of integration of the Internet community, but also to draw an important theoretical conclusion. Online communities in their development manifest both the properties of real social groups and the properties of networks. These two methodological attitudes can be equally successfully applied in the analysis of online communities of the mobilization type. In the first case, analyzing the behavior of the online community as a social group, the dynamics of its mobilization function is mostly recorded. In the second case, analyzing the behavior of a community as a network, the dynamics of its volume and the dynamics of information potential are described to a greater extent.


2021 ◽  
Vol 102 ◽  
pp. 01006
Author(s):  
Neil Johnson

Research into providing effective online education has suggested an important goal for instructors is the creation of an online community of inquiry (CoI) where social, cognitive, and teacher presence are all important aspects of successful online learning. With reference to a recent reflective practice case study, this paper describes ways that the research on online communities of inquiry may be enriched through the use of digital ethnography. In the target reflective case study, data analysis tasks were designed and presented in an online VoiceThread site, promoting dialogic and multimodal engagement with data from actual research studies that are central to the module theme in teacher education. Interaction around these tasks is coded using the CoI framework. Ethnographic data from the participants was collected and coded using qualitative research protocols to contextualise the interaction data and provide a clearer understanding of how participants had come together throughout the module. The ethnographic data revealed some interesting concerns with online learning, including the use of technology as a barrier to participation.


Economics ◽  
2015 ◽  
pp. 652-666
Author(s):  
Alberto Francesconi ◽  
Riccardo Bonazzi ◽  
Claudia Dossena

Online communities are becoming an important way to support firms towards an open innovation approach. However, knowledge shared in an online community represents only a potential for firm's innovation aims. The effectiveness of exploration and exploitation of this knowledge depends on firm's absorptive capacity. In this work the authors focus on the time an idea, shared within an online community, takes to be transformed from a ‘potential' into a ‘realized' innovation by a firm. In particular, conceiving knowledge as a trajectory across pole of attraction rather than a linear process, the authors develop a model inspired by the solar system metaphor. Preliminary results from a case study are presented. They suggest firms may improve the effectiveness of absorptive capacity exploiting the mediation role of a software tool.


Author(s):  
M. Gordon Hunter ◽  
Rosemary Stockdale

This paper examines online communities and describes how they can be differentiated from other Internet supported group interactions. A definition of an online community is given and three generic types are identified. These types are defined by the community models based on the value proposition for the sponsors and members. The value proposition for members is strongly influenced by the model, as facilities and opportunities for interaction are structured by the site sponsors. Where online communities offer fulfillment of specific needs, people participate and become members. Additional benefits enhance the value of membership and encourage retention and greater interactivity. Significant benefits are gained from online communities for businesses, NGOs, other community organizations and individuals. Identifying the different types of communities and their characteristics is an important stage in developing greater understanding of how virtual communities can contribute to businesses, healthcare, community needs and a myriad of other contexts. Examples of the three generic types of online communities are included for further edification.


Author(s):  
Enrique Murillo

Social Network Analysis (SNA) provides a range of models particularly well suited for mapping bonds between participants in online communities and thus reveal prominent members or subgroups. This can yield valuable insights for selecting a theoretical sample of participants or participant interactions in qualitative studies of communities. This chapter describes a procedure for collecting data from Usenet newsgroups, deriving the social network created by participant interaction, and importing this relational data into SNA software, where various cohesion models can be applied. The technique is exemplified by performing a longitudinal core periphery analysis of a specific newsgroup, which identified core members and provided clear evidence of a stable online community. Discussions dominated by core members are identified next, to guide theoretical sampling of text-based interactions in an ongoing ethnography of the community.


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