Sharenting and social media properties: Exploring vicarious data harms and sociotechnical mitigations

Author:

Ugwudike Pamela1ORCID,Roth Silke1,Lavorgna Anita2,Middleton Stuart E.3ORCID,Djohari Natalie1ORCID,Tartari Morena4,Mandal Arpan3

Affiliation:

1. Department of Sociology, Social Policy and Criminology, University of Southampton, Southampton, UK

2. Department of Political and Social Sciences, University of Bologna, Bologna, Italy

3. School of Electronics and Computer Science, University of Southampton, Southampton, UK

4. Department of Philosophy, Sociology, Pedagogy, and Applied Psychology, University of Padua, Padua, Italy

Abstract

In this paper, we demonstrate how social media technologies can co-produce data-related harms unless preventative measures are instituted. To this end, we draw on a passive ethnography of a public Facebook group in the UK practicing sharenting which occurs when parents and guardians post sensitive and identifying information about children in their care on social media. Theoretically, we draw on the ‘harm translation’ concept from digital criminology and the ‘seductions of crime’ perspective from cultural criminology. Further we analyse documents on the operations of Facebook's content filtering algorithms published by Meta (Facebook's parent company). With insights from these sources, we demonstrate how platform technologies go beyond facilitation to the inadvertent co-production of harm via embedded mediative properties that shape user perception and action. We show that, in the specific context of sharenting, the properties invite rather than simply facilitate the practice and can also invite subsequent misuses of child-centric data. Through our analysis of these dynamics, we set out an empirical basis for challenging reductive depictions of social media technologies as solely facilitative of human action including harmful conduct. We also outline our vision to integrate insights from the analysis into a new sociotechnical harm prevention framework informed by Natural Language Processing approaches.

Funder

Economic and Social Research Council

Publisher

SAGE Publications

Reference55 articles.

1. #familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labor

2. AOIR (2019) Internet Research: Ethical Guidelines 3.0 (2019) https://aoir.org/reports/ethics3.pdf.

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