Hunting for Troll Comments in News Community Forums
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Abstract (arXiv)
There are different definitions of what a troll is. Certainly, a troll can be somebody who teases people to make them angry, or somebody who offends people, or somebody who wants to dominate any single discussion, or somebody who tries to manipulate people's opinion (sometimes for money), etc. The last definition is the one that dominates the public discourse in Bulgaria and Eastern Europe, and this is our focus in this paper. In our work, we examine two types of opinion manipulation trolls: paid trolls that have been revealed from leaked reputation management contracts and mentioned trolls that have been called such by several different people. We show that these definitions are sensible: we build two classifiers that can distinguish a post by such a paid troll from one by a non-troll with 81-82% accuracy; the same classifier achieves 81-82% accuracy on so called mentioned troll vs. non-troll posts.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Nov 2019.
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Citing papers per year: 2021: 3; 2022: 4; 2023: 0; 2024: 1.
8 papers.
- 2022BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagecited by 197
- 2021Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Gocited by 32
- 2022Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trollscited by 11
- 2022ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trollscited by 7
- 2021Exposing Paid Opinion Manipulation Trollscited by 3
- 2024Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trollingcited by 3
- 2021SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answeringcited by 0
- 2022A Context-Sensitive Word Embedding Approach for The Detection of Troll Tweetscited by 0
- 2024Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling5 Oct 2024
- 2022Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls5 Aug 2022
- 2022BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage5 Aug 2022
- 2022ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls30 Jul 2022
- 2022A Context-Sensitive Word Embedding Approach for The Detection of Troll Tweets17 Jul 2022
- 2021SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering26 Sep 2021
- 2021Exposing Paid Opinion Manipulation Trolls26 Sep 2021
- 2021Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Go27 Feb 2021