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Found 9 papers, 5 papers with code
Contextualizing Internet Memes Across Social Media Platforms
Internet memes have emerged as a novel format for communication and expressing ideas on the web.
Leveraging Large Language Models to Detect Influence Campaigns in Social Media
Social media influence campaigns pose significant challenges to public discourse and democracy.
Leveraging Social Interactions to Detect Misinformation on Social Media
Keeping track of the sequence of the interactions during the time, we improve over previous state-of-the-art models.
Multimodal and Explainable Internet Meme Classification
In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation at scale even more difficult.
Exposing Influence Campaigns in the Age of LLMs: A Behavioral-Based AI Approach to Detecting State-Sponsored Trolls
The detection of state-sponsored trolls operating in influence campaigns on social media is a critical and unsolved challenge for the research community, which has significant implications beyond the online realm.
Detecting Social Media Manipulation in Low-Resource Languages
Social media have been deliberately used for malicious purposes, including political manipulation and disinformation.
Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election
Since the 2016 US Presidential election, social media abuse has been eliciting massive concern in the academic community and beyond.
Red Bots Do It Better: Comparative Analysis of Social Bot Partisan Behavior
We studied bot interactions with humans and observed different strategies.
Social and Information Networks
Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms
One of the hallmarks of a free and fair society is the ability to conduct a peaceful and seamless transfer of power from one leader to another.
Social and Information Networks
