Privacy in Crowdsourcing: A Systematic Review

Abstract

The advent of crowdsourcing has brought with it multiple privacy challenges. For example, essential monitoring activities, while necessary and unavoidable, also potentially compromise contributor privacy. We conducted an extensive literature review of the research related to the privacy aspects of crowdsourcing. Our investigation revealed interesting gender differences and also differences in terms of individual perceptions. We conclude by suggesting a number of future research directions.

Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing

“…Natural language generation could be used to process information from the worker's publications or the worker's social media profile to create a summary of the individual's background (Expert 4). However, the rules of platform governance, as defined by the initiative stakeholders, must be upheld in any such investigations in order to avoid ethical concerns on the part of the workers (Alkharashi and Renaud 2018;Kocsis and Vreede 2016;Schlagwein et al 2019). Alternatively, activity reports could be generated from the crowdsourcing platform via the use of (social) network algorithms (Case TCL) or natural language processing (Expert 1), leading to fully-automated dashboard generation for tracking the workers' activity (Expert 6).…”

Privacy preserving data analytics in financial inclusion and crowd computing

“…In [16], it is stated that the context of privacy from the angle individual's view of justice will imply privacy concerns. Such concerns are of least concern in the preinternet world where humans are confined to physical presence.…”

“…In [16] [17], they list the concepts associated with people's concerns about privacy. These concepts are:…”

“…Under the above concepts, every individual has an equal right to protect their data privacy because everyone has the same amount of personal information. However, individuals from different cultures and backgrounds will have differing perspectives on privacy and online anonymity [16]. It is noted that further investigation will be needed to evaluate the impact of culture on the perception of privacy, especially in the area of online crowdsourcing and crowd computing environment.…”

“…The paper [16] researched crowdsourcing-related privacy concerns relevant to crowd computing. The paper spells out five principles of data privacy from [18], which are mostly covered in privacy laws and regulations:…”