Building an integrated comment moderation system – towards a semi-automatic moderation tool

Dennis M. Riehle*, Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, Jörg Becker

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

The past decade has been characterized by a strong increase in the use of social media and a continuous growth of public online discussion. With the failure of purely manual moderation, platform operators started searching for semi-automated solutions, where the application of Natural Language Processing (NLP) and Machine Learning (ML) techniques is promising. However, this requires huge financial investments for algorithmic implementations, data collection, and model training, which only big players can afford. To support smaller or medium-sized media enterprises (SME), we developed an integrated comment moderation system as an IT platform. This platform acts as a service provider and offers Analytics as a Service (AaaS) to SMEs. Operating such a platform, however, requires a robust technology stack, integrated workflows and well-defined interfaces between all parties. In this paper, we develop and discuss a suitable IT architecture and present a prototypical implementation.

Original languageEnglish
Title of host publicationSocial Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing
Subtitle of host publication12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II
EditorsGabriele Meiselwitz
Place of PublicationCham
PublisherSpringer
Pages71-86
Number of pages16
ISBN (Electronic)978-3-030-49576-3
ISBN (Print)978-3-030-49575-6
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event12th International Conference on Social Computing and Social Media, SCSM 2020 - Virtual Event
Duration: 19 Jul 202024 Jul 2020
Conference number: 12
http://2020.hci.international/scsm.html

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12195
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Social Computing and Social Media, SCSM 2020
Abbreviated titleSCSM 2020
CityVirtual Event
Period19/07/2024/07/20
OtherHeld as Part of the 22nd HCI International Conference, HCII 2020
Internet address

Keywords

  • Analytics as a service
  • Business model
  • Comment moderation
  • IT platform
  • Machine learning
  • n/a OA procedure

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