A mockup of an intervention showing a Twitter comment, but it has a new button along the bottom that shows how many people have viewed the tweet.

Show Content Reach (# of Views)

More conscientious posts, reduced misconceptions of people unlike themselves

Untested

Emergent

Evoke User's Visibility

Show Content Reach (# of Views)

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Overview

What It Is

This counts, and relays back to the user, the number of distinct users who have seen a post or comment that user has made.

Different methodologies to count views could be used by different platforms, so long as they are consistent within the platform.

This view meter must be clear and distinct from other social metrics relayed back to users, such as the number of upvotes/likes, shares/retweets, &c.

What Is Its Intended Impact

  • People will compose their own posts/comments with more care because they realize how big their audience really is
  • People will respond less to trolls who have gotten comparatively few views

When To Use It

This metric will be visible on social content, whenever a comment or post displays how many likes, reacts, or shares it has.

How We Know It Works

Why It Might Work

  • Facebook (2013) conducted an analysis of survey data to understand the discrepancy between users' perceptions of their audience and their actual audience.
  • They found that users consistently thought their audience was much smaller (27% of true size).

Why It Matters

According to researchers from the Facebook study: "Users have scarce information about who actually sees their content, making their audience seem invisible and difficult to estimate." this can lead to over-disclosure and a lack of self-censorship.

Special Considerations

Examples

This entry is currently being researched & evaluated!

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Our Confidence Rating

Emergent

A grade of Emergent is often given to interventions for whom the majority of research is qualitative.

Alternatively, if research exists, but the methodology is not publicly available, the Prosocial Design Network will also assign it an Emergent grade.

This grade denotes that the idea could have merit, but no quantitative research exists to explain why or how.

In The Wild

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

Citations

Contextual Research

Quantifying the Invisible Audience in Social Networks

Author(s)

Michael Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer

Date of Publication

April 27, 2013

Publication Status

Corporate Origin

Study Design

Observational

Sample Size(s)

Min.

Total

Max.

Affiliation(s)

Facebook

Journal Name

ACM Conference on Human Factors in Computing Systems (CHI)

Entry Type

Research Article or Manuscript

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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