Ethical implications of network data in business and management settings

Cronin, Bruce; Perra, Nicola; Rocha, Luis E. C.; Zhu, Zhen; Pallotti, Francesca; Gorgoni, Sara; Conaldi, Guido; Vita, Riccardo De

doi:10.1016/j.socnet.2020.09.001

Cited by 15 publications

(7 citation statements)

References 82 publications

(79 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The force of network visualizations may get around anonymity and reveal identities, or otherwise emotionally affect stakeholders (Tubaro, Ryan and D'Angelo, 2016; contribution by D'Angelo and Ryan in this special issue). SNA research is particularly sensitive in business settings (Cronin, Rocha, Perra, Zhu, Pallotti, Gorgoni, Conaldi and De Vita, 2020, this special issue) and wherever power asymmetries and profit motives may distort the research (Maya-Jariego, Alieva and Holgado, 2019, this special issue). Even the health sciences face unprecedented challenges when they use network data from social media platforms (Chu, Colditz, Sidani, Zimmer and Primack, 2019, this special issue), or when respondents have grown more privacy-aware and willing to protect their contacts (Rudolph and Young, 2019, this issue).…”

Section: Introductionmentioning

confidence: 99%

Social network analysis: New ethical approaches through collective reflexivity. Introduction to the special issue of Social Networks

et al. 2021

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Social network analysis: New ethical approaches through collective reflexivity. Introduction to the special issue of Social Networks

et al. 2021

View full text Add to dashboard Cite

“…Cognitive‐, data‐, social‐ and network scientists should contribute to the quantitative development of cognitive networks for studying cognition through social media data. However, these scientific figures should also work together with philosophers and law experts under the umbrella of complexity science in order to provide clearer indications for an ethical growth of this whole new field, taking inspiration from recent efforts in organizational psychology and network science (Cronin et al., 2020).…”

Section: Discussion and Open Challengesmentioning

confidence: 99%

Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review

Stella

2021

Topics in Cognitive Science

View full text Add to dashboard Cite

Social media are digitalizing massive amounts of users’ cognitions in terms of timelines and emotional content. Such Big Data opens unprecedented opportunities for investigating cognitive phenomena like perception, personality, and information diffusion but requires suitable interpretable frameworks. Since social media data come from users’ minds, worthy candidates for this challenge are cognitive networks, models of cognition giving structure to mental conceptual associations. This work outlines how cognitive network science can open new, quantitative ways for understanding cognition through online media like: (i) reconstructing how users semantically and emotionally frame events with contextual knowledge unavailable to machine learning, (ii) investigating conceptual salience/prominence through knowledge structure in social discourse; (iii) studying users’ personality traits like openness‐to‐experience, curiosity, and creativity through language in posts; (iv) bridging cognitive/emotional content and social dynamics via multilayer networks comparing the mindsets of influencers and followers. These advancements combine cognitive‐, network‐ and computer science to understand cognitive mechanisms in both digital and real‐world settings but come with limitations concerning representativeness, individual variability, and data integration. Such aspects are discussed along with the ethical implications of manipulating sociocognitive data. In the future, reading cognitions through networks and social media can expose cognitive biases amplified by online platforms and relevantly inform policy‐making, education, and markets about complex cognitive trends.

show abstract

“…Third, our sample comprises women bloggers and we do not know whether their social contacts differ from those of young women with anorexia who do not blog. Fourth, reports on the personal relations that young women maintain should be regarded with caution due to memory ( Brewer, 2000 ), sensitivity ( Cronin et al, 2020 ), problems with the attribution of roles to the members of personal networks ( Bush et al, 2017 ), and other interview-related issues ( Feld and Carter, 2002 ; Kogovšek and Ferligoj, 2005 ). Fifth, when reporting on the personal networks of young women based on their narratives, we should remember that these are only the young women’s perceptions of their relations ( Bayer et al, 2020 ; Feld and McGail, 2020 ).…”

Section: Limitationsmentioning

confidence: 99%

Anorexia and Young Womens’ Personal Networks: Size, Structure, and Kinship

Mikhaylova

Dokuka

2022

Front. Psychol.

View full text Add to dashboard Cite

Anorexia is a serious threat to young women’s wellbeing worldwide. The effectiveness of mental health intervention and treatment is often evaluated on the basis of changes in the personal networks; however, the development of such measures for young women with anorexia is constrained due to the lack of quantitative descriptions of their social networks. We aim to fill this substantial gap. In this paper, we identify the basic properties of these women’s personal networks such as size, structure, and proportion of kin connections. The empirical analysis, using a concentric circles methodology, is based on 50 ego networks constructed on data drawn from interviews with Russian-speaking bloggers who have been diagnosed with anorexia and write about this condition. We conclude that young women with anorexia tend to support a limited number of social ties; they are prone to select women as alters, but do not have a preference to connect to their relatives. Further research is needed to elucidate whether these personal network characteristics are similar among women with anorexia who belong to different age, ethnic, cultural, and income groups.

show abstract

Ethical implications of network data in business and management settings

Cited by 15 publications

References 82 publications

Social network analysis: New ethical approaches through collective reflexivity. Introduction to the special issue of Social Networks

Social network analysis: New ethical approaches through collective reflexivity. Introduction to the special issue of Social Networks

Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review

Anorexia and Young Womens’ Personal Networks: Size, Structure, and Kinship

Contact Info

Product

Resources

About