"TL;DR:" Out-of-Context Adversarial Text Summarization and Hashtag Recommendation

no code implementations • 1 Apr 2021 • Peter Jachim, Filipo Sharevski, Emma Pieroni

This paper presents Out-of-Context Summarizer, a tool that takes arbitrary public news articles out of context by summarizing them to coherently fit either a liberal- or conservative-leaning agenda.

Adversarial Text Text Generation +2

TrollHunter2020: Real-Time Detection of Trolling Narratives on Twitter During the 2020 US Elections

no code implementations • 4 Dec 2020 • Peter Jachim, Filipo Sharevski, Emma Pieroni

This paper presents TrollHunter2020, a real-time detection mechanism we used to hunt for trolling narratives on Twitter during the 2020 U. S. elections.

Misinformation

TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic

no code implementations • 4 Dec 2020 • Peter Jachim, Filipo Sharevski, Paige Treebridge

This paper presents TrollHunter, an automated reasoning mechanism we used to hunt for trolls on Twitter during the COVID-19 pandemic in 2020.

BIG-bench Machine Learning