A mockup of a prompt telling a user that "Your Comment Is Likely To Be Hurtful To Others" with an option to either edit the post or post it anyway.

Preliminary Flagging Before Posting

Reduce online harrassment

Tested

Tentative

Evoke User's Visibility

Preliminary Flagging Before Posting

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Overview

What It Is

This is an AI-powered intervention, most often powered by Jigsaw's Perspective API, which rates a comment's toxicity.

Typically any comment receiving a high toxicity score will prompt a message suggesting that they revise their post.

What Is Its Intended Impact

This intervention reduces the number of toxic comments posted. It is particularly geared towards "road rage" style comments, in which an otherwise genuine user is immediately in the heat of the moment.

Worth noting:

  1. Most, but not all edits in response to this prompt are done in good faith. A minority of the edits were either trying to trick the system or respond directly and angrily to the prompt.
  2. It is worth noting that any API that rates the toxicity of comments is human-written. It will, naturally, carry the perspective and biases of its creators.

When To Use It

This can be used in conjunction with any comment section or platform that primarily relies on short-text posts.

How We Know It Works

Why It Might Work

A study by OpenWeb (2020) on their own platform* found that about half of users either revise their comment or decide not to post it when prompted that their comment may be inflammatory.

"The overall positive outcome of this experiment reinforces our belief that quality spaces and civility cues drive a better, healthier conversation experience." write the study's authors. "A gentle nudge can steer the conversation in the right direction and provide an opportunity for users with good intentions to participate. The feature provides more transparency and education throughout the user engagement journey boosting loyalty and overall community health."

*Important Note: this was a study of their own platform, which they sell as a service.

Why It Matters

The findings could help explain that, while a minority of the edits were either trying to trick the system or redirecting their angrily to the prompt itself; most, but not all, of the edits in response to this prompt are done in good faith.

Special Considerations

When it comes to moderation technologies there is no one size fits all. We believe this data analysis has also helped us understand and detect online trolls faster and better. If a user is repeatedly ignoring nudges and trying to trick the system, it warrants stronger tools such as auto suspension.

Ido Goldberg, et al.

Examples

This entry is currently being researched & evaluated!

You could help us improve this entry by contributing facts, media, screenshots, and other evidence of its existence in the wild.
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Our Confidence Rating

Tentative

A grade of Tentative is given for a number of reasons.

Often it is either because:

  1. The majority of research for an intervention, independently conducted or not, is either observational or ecological studies and lacks a randomized control; or
  2. The findings in its favor have vested or corporate interests behind them—for example, Company X releases its own experiment results about an intervention.

Should a study that would otherwise be labeled as Convincing undergo replication, but fail to replicate the results in good faith, that intervention may also be reassigned a grade of Tentative.

In The Wild

This intervention has precedence, and exists, or has at one time or another, existed in the wild.

Citations

Intervention Specific Research

OpenWeb tests the impact of “nudges” in online discussions

Author(s)

Ido Goldberg, Guy Simon, Kusuma Thimmaiah

Date of Publication

September 21, 2020

Publication Status

Corporate Origin

Study Design

Experimental

Sample Size(s)

Min.

Total

Max.

Affiliation(s)

OpenWeb

Journal Name

Entry Type

Website

Publication Statistics

Online Impact

Citations

APA Citation

There's more to learn about this intervention. Want to help?

Do you think this intervention could have more benefits, unacknowledged drawbacks, or other inaccuracies that we've neglected to mention here?

We always welcome more evidence and rigorous research to back up, debunk, or augment what we know.

If you want to be a part of that effort, we'd love to have your help!

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Further Reading

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