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20242026
most citedThe Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement

7 citations · 10 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CY2024★ 1 cited

Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok

Haoyang Gui, Thales Bertaglia, Catalina Goanta +2

Content monetization on social media fuels a growing influencer economy. Influencer marketing remains largely undisclosed or inappropriately disclosed on social media. Non-disclosu…

cs.CY2024★ 7 cited

The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement

Thales Bertaglia, Catalina Goanta, Adriana Iamnitchi

YouTube is a major social media platform that plays a significant role in digital culture, with content creators at its core. These creators often engage in controversial behaviour…

cs.CY2024★ 1 cited

Influencer Self-Disclosure Practices on Instagram: A Multi-Country Longitudinal Study

Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis +1

This paper presents a longitudinal study of more than ten years of activity on Instagram consisting of over a million posts by 400 content creators from four countries: the US, Bra…

cs.CY2024

Leveraging GPT for the Generation of Multi-Platform Social Media Datasets for Research

Henry Tari, Danial Khan, Justus Rutten +4

Social media datasets are essential for research on disinformation, influence operations, social sensing, hate speech detection, cyberbullying, and other significant topics. Howeve…

cs.CY2024

InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection

Thales Bertaglia, Lily Heisig, Rishabh Kaushal +1

Large Language Models (LLMs) raise concerns about lowering the cost of generating texts that could be used for unethical or illegal purposes, especially on social media. This paper…