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Found 11 papers, 4 papers with code
Racist or Sexist Meme? Classifying Memes beyond Hateful
Memes are the combinations of text and images that are often humorous in nature.
MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection
The challenge of misogynous meme detection is to co-represent multi-modal features.
Multi-MLLM Knowledge Distillation for Out-of-Context News Detection
In contrast, we aim to improve the performance of small MLLMs in a more label-efficient and cost-effective manner.
Collaborative Content Moderation in the Fediverse
The Fediverse, a group of interconnected servers providing a variety of interoperable services (e. g. micro-blogging in Mastodon) has gained rapid popularity.
Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly
Large Language Models (LLMs) have demonstrated remarkable capabilities in comprehending and analyzing lengthy sequential inputs, owing to their extensive context windows that allow processing millions of tokens in a single forward pass.
How Similar Are Elected Politicians and Their Constituents? Quantitative Evidence From Online Social Networks
We find that elected politicians tend to be equally similar to their constituents in terms of content and style regardless of whether a constituency elects a right or left-wing politician.
Learning Domain-Invariant Features for Out-of-Context News Detection
In order to effectively adapt the detection model to unlabeled news topics or agencies, we propose ConDA-TTA (Contrastive Domain Adaptation with Test-Time Adaptation) which applies contrastive learning and maximum mean discrepancy (MMD) to learn domain-invariant features.
Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse
Recent work has exploited the conversational context of a post to improve this automatic tagging, e. g. using the replies to a post to help classify if it contains toxic speech.
Lady and the Tramp Nextdoor: Online Manifestations of Economic Inequalities in the Nextdoor Social Network
We collect 2. 6 Million posts from 64, 283 neighborhoods in the United States and 3, 325 neighborhoods in the United Kingdom, to examine whether online discourse reflects the income and income inequality of a neighborhood.
Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
We study the influence of different activation functions in the output layer of deep neural network models for soft and hard label prediction in the learning with disagreement task.
Active Delay Measurement for SDN-based Networks
In this respect, the challenging issue is to select a proper combination of flows such that by knowing their delay it is possible to solve a set of a linear equation and obtain a unique LDV.
Networking and Internet Architecture
