Cited by 28Hate Speech and Cyberbullying DetectionEmotional Labor in ProfessionsEmotion and Mood Recognition

Testing Stylistic Interventions to Reduce Emotional Impact of Content Moderation Workers

Open access
Karunakaran, Sowmya, Ramakrishan, Rashmi·2019·Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Abstract

With the rise in user generated content, there is a greater need for content reviews. While machines and technology play a critical role in content moderation, the need for manual reviews still remains. It is known that such manual reviews could be emotionally challenging. We test the effects of simple interventions like grayscaling and blurring to reduce the emotional impact of such reviews. We demonstrate this by bringing in interventions in a live content review setup thus allowing us to maximize external validity. We use a pre-test post-test experiment design and measure review quality, average handling time and emotional affect using the PANAS scale. We find that simple grayscale transformations can provide an easy to implement and use solution that can significantly change the emotional impact of content reviews. We observe, however, that a full blur intervention can be challenging to reviewers.

Integrity signals

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Crossref · 10.1609/hcomp.v7i1.5270

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23 of 23 references verified0 citation errors · 0 not checkable

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  • Some studies evaluating technological interventions such as image modification through blurring and filters found positive effects like reduced negative feelings while retaining operational efficiency.

    “On one hand some studies (13–15), evaluating technological interventions such as image modification through blurring and filters, found positive effects like reduced negative feelings while retaining operational efficiency.”

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Authors
Karunakaran, S., & Ramakrishan, R.
Affiliations
Google (United States) (US)
Venue
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
Published
2019-10-28
Volume
7
Pages
50-58
ISSN
  • 2769-1330 (ISSN-L)
  • 2769-1349
OpenAlex
W2987974819
Cited by
28
References
24
Citations by year
2026: 6 · 2025: 8 · 2024: 5 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 1 · 2019: 1
FWCI
0.67
Type
conference paper
Language
en
Open access
Locations
  • Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (publishedVersion)
  • AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Social Sciences › Sociology and Political Science › Emotional Labor in Professions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
content moderation, emotional impact, image blurring, user-generated content, review quality, handling time, PANAS

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