Abstract

This article uses a machine learning algorithm to demonstrate a proof-of-concept case for moderating and managing online comments as a form of content moderation, which is an emerging area of interest for technical and professional communication (TPC) researchers. The algorithm sorts comments by topical similarity to a reference comment/article rather than display comments by linear time and popularity. This approach has the practical benefit of enabling TPC researchers to reconceptualize content display systems in dynamic ways.

Journal
Communication Design Quarterly
Published
2021-07-01
DOI
10.1145/3453460.3453462
CompPile
Search in CompPile ↗
Topics

Citation Context

Cited by in this index (0)

No articles in this index cite this work.

Cites in this index (5)

  1. Technical Communication Quarterly
  2. Communication Design Quarterly
  3. Computers and Composition
  4. Communication Design Quarterly
  5. Technical Communication Quarterly
Also cites 12 works outside this index ↓
  1. 10.18653/v1/w18-6212
  2. 10.5555/944919.944937
  3. 10.1177/2053951715622512
  4. 10.1109/CVPR.2005.202
  5. 10.7330/9781607329749
  6. 10.1177/2053951719897945
  7. 10.1037/0033-295X.114.2.211
  8. 10.1145/2987592.2987603
  9. 10.17239/jowr-2016.07.03.08
  10. 10.1177/1461444815600280
  11. 10.1080/10584609.2020.1713267
  12. 10.5555/3295222.3295349
CrossRef global citation count: 8 View in citation network →