7 citations · 10 across the 13 of their papers we have counts for
8 papers · 1 filter
Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis
Thales Bertaglia, Haoyang Gui, Catalina Goanta +1
Public consultations generate large volumes of data in the form of stakeholder submissions that are practically unfeasible to analyse manually. We present an end-to-end LLM-based p…
Computational Studies in Influencer Marketing: A Systematic Literature Review
Haoyang Gui, Thales Bertaglia, Catalina Goanta +1
Influencer marketing has become a crucial feature of digital marketing strategies. Despite its rapid growth and algorithmic relevance, the field of computational studies in influen…
The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Act
Catalina Goanta, Savvas Zannettou, Rishabh Kaushal +6
To facilitate accountability and transparency, the Digital Services Act (DSA) sets up a process through which Very Large Online Platforms (VLOPs) need to grant vetted researchers a…
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…
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…
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…
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…
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…