Gillett, Gray and Kaye (2023)

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1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare 2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? 3. Harmony of interest assumption between authors and publishers (creators and producers/investors) 4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) 5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)

A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) C. Mass digitisation/orphan works (non-use; extended collective licensing) D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) E. Fair remuneration (levies; copyright contracts) F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)

Source Details

Gillett, Gray and Kaye (2023)
Title: ‘Just a little hack’: Investigating cultures of content moderation circumvention by Facebook users
Author(s): Gillett, R., Gray J.E., Kaye D.B.V.
Year: 2023
Citation: Gillett, R., Gray, J. E., & Valdovinos Kaye, D. B. (2023). ‘Just a little hack’: Investigating cultures of content moderation circumvention by Facebook users. New Media & Society, 0(0).
Link(s): Definitive
Key Related Studies:
Discipline:
Linked by:
About the Data
Data Description: With the support of Tor Browser, the authors collected Youtube videos and Reddit threads, according to specific moderation-related keywords (113 phrases) in order to detect discussions around content moderation on both platforms. Afterwards, they analysed the dataset through an iterative grounded approach with a combination of both manual and computational coding.
Data Type: Primary data
Secondary Data Sources:
Data Collection Methods:
Data Analysis Methods:
Industry(ies):
Country(ies):
Cross Country Study?: No
Comparative Study?: No
Literature review?: No
Government or policy study?: No
Time Period(s) of Collection:
  • 2020-2021
Funder(s):
  • Australian Research Council Centre of Excellence for Automated Decision-Making and Society
  • Meta Content Governance

Abstract

“As social media platforms adapt their rules to limit the presence, spread, and amplification of harmful content on their services, users develop strategies to circumvent content moderation policies. To better understand cultures of content moderation circumvention, including the types of rules that Facebook users seek to circumvent, we analysed a sample of YouTube videos and Reddit threads in which users discuss content moderation circumvention. We show how Facebook users turn to others across platforms to obtain information about circumvention methods. We observe that these users often discuss overcoming Facebook’s content moderation policies in terms that downplay the significance of their intended actions. We suggest that where Facebook’s policies and enforcement measures fail to deter rule violations that may facilitate harm, Facebook should consider new culture driven approaches to platform governance that foster prosocial environments and engender compliance with platform rules”.

Main Results of the Study

Although content moderation is an important aspect that governs platforms, some users seem to not recognise and accept Facebook as a governing authority for their content. In addition, despite the general idea that social norms lead the compliance of individuals with rules, users mostly downplay such platform rules and practices, by for instance justifying hate speech as humor, or by defining as “just talking” the interactions (previously blocked) with women. Therefore, deterrence models that result in platform content moderation are often ineffective if the “culture of compliance” in that context is not particularly strong, and perhaps platforms themselves should look for alternative interventions that do not focus exclusively on punishments.

Policy Implications as Stated By Author

As mentioned in the findings, the authors support alternative approaches to platform governance that do not entail the moderation of singular pieces of content and do not contemplate threats of punishment for the user. On the contrary, this new system should revolve around “responsibility, risk management and care at all levels of platform governance”.



Coverage of Study

Coverage of Fundamental Issues
Issue Included within Study
Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare
Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)?
Harmony of interest assumption between authors and publishers (creators and producers/investors)
Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption)
Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)
Green-tick.png
Coverage of Evidence Based Policies
Issue Included within Study
Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right)
Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction)
Mass digitisation/orphan works (non-use; extended collective licensing)
Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
Fair remuneration (levies; copyright contracts)
Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)
Green-tick.png

Datasets

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