Navigating conflict between research ethics and online platform terms and conditions
A reflective account
Bibliographic Data
| ID | 21787546 |
|---|---|
| Authors | Shi Min Chua (0000-0002-5904-3430, The Open University, corresponding author) |
| Year | 2022 |
| Volume | 18 |
| Issue | 1 |
| Pages | 39-50 |
| Publication date | 2022-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research Ethics (JOURNAL) |
| Journal identifiers | ISSN: 1747-0161 • E-ISSN: 2047-6094 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/17470161211045526 |
| OpenAlex | W3206016260 |
| Language | EN |
| Citations received | 7 |
| References cited | 14 |
Internet users’ comments in online spaces have attracted researchers’ attention in recent years. Although this data is typically publicly available, its use requires careful consideration so as to not cause harm to the users, while complying with the terms and conditions (Ts & Cs) of the online spaces. However, the Ts & Cs and researchers’ ethical considerations may sometimes be in conflict. I faced such a conflict when I conducted discourse analysis of online discussions that were sourced from a public online learning platform owned by a private company. In this article, I reflect on how I navigated the Ts & Cs and copyright law, taking users’ likely expectations into consideration when deciding whether to seek informed consent and anonymize content. I employed an ‘attribution with anonymization’ method to acknowledge users for their comments while safeguarding their confidentiality. Given the variety of online spaces and research methods, ethical decision-making must be a contextualized process that requires researchers to consider the nature of the online platform and the potential experience of the users, rather than simply following guidelines or Ts & Cs
Attribution · Confidentiality · Engineering ethics · Harm · Internet privacy · Online research methods · Political science · Public relations · Safeguarding · The Internet · World Wide Web · Computer Science · Engineering · Focus Groups and Qualitative Methods · Hate Speech and Cyberbullying Detection · Law · Medicine · Psychology · Social Media and Politics · Social Psychology
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| Citations per year | 1.75 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |